Tag: Data

Business data #starting #own #business


#business data

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U.S. International Trade in Goods and Services

Monthly report that provides national trade data including imports, exports, and balance of payments for goods and services. Statistics are also reported on a year-to-date basis. Data are continuously compiled and processed. Documents are collected as shipments arrive and depart, and are processed on a flow basis. The BEA uses the data to update U.S. balance of payments, gross domestic product, and national accounts. Other federal agencies use them for economic, financial, and trade policy analysis (such as import/export promotion studies and import/export price indexes). Private businesses and trade associations use them for domestic and overseas market analysis, and industry-, product-, and area-based business planning. Major print and electronic news media use them for general and business news reports.

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US Census Bureau, Department of Commerce

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Commerce Non Spatial Data.json Harvest Source

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The Business of Data #business #venture #ideas


#business data

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The Business of Data

More and more organisations are collecting and storing vast amounts of data. Yet for all the excitement generated by the potential of this data to transform business models—turning it directly into cold, hard cash can prove difficult.

Despite the obvious benefits of using superior data to drive value-added marketing strategies, companies are facing many barriers, including regulatory uncertainty, consumer privacy issues, security concerns and budget constraints. So while the possibilities of digital disruption and big data are endless, companies need to think very carefully about how to execute their plans to avoid some common pitfalls.

This EIU report examines how companies are positioning themselves to benefit directly from the wave of opportunities offered by fast-evolving data technologies. It is based on a cross-industry survey of 476 executives based largely in North America, Europe and Asia on their companies’ data plans and practices, as well as insights from the leaders of organisations at the forefront of the emerging data industry.

Read report in English | 日本語


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Data Center Rack Cooling Solutions, data center operations best practices.#Data #center #operations #best #practices


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Data Center Rack Cooling Solutions

Cooling infrastructure is a significant part of a data center. The complex connection of chillers, compressors and air handlers create the optimal computing environment, ensuring the longevity of the servers, and the vitality of the organization they support.

Yet, the current data center cooling ecosystem has come at a price. The EPA s oft-cited 2007 report predicted that data center energy consumption, if left unchecked, would reach 100 billion kWh by 2011 with a corresponding energy bill of $7.4 billion. This conclusion, however, isn t strictly based on Moore s Law or the need for greater bandwidth. Their estimate envisions tomorrow s processing power will be addressed with yesterday s cooling strategies. The shortcomings of these designs, coupled with demand for more processing power, would require (10) new power plants to provide the juice for it all, according to that report.

According to a more recent study commissioned by the NY Times from Jonathan Koomey Ph.D. Stanford entitled, Growth in Data center electricity use 2005 to 2010, the rapid rates of growth in data center electricity use that prevailed from 2000 to 2005 slowed significantly from 2005 to 2010, yielding total electricity use by data centers in 2010 of about 1.3% of all electricity use for the world, and 2% of all electricity use for the US. Assuming the base line figures are correct, Koomey states that instead of doubling as predicted by the EPA study, energy consumption by data centers increased by 56% worldwide and only 36% in the US.

According to Koomey, the reduced growth rates over earlier estimates were, driven mainly by a lower server installed base than was earlier predicted rather than the efficiency improvements anticipated in the report to Congress. In the NY Times article, Koomey goes on say, Mostly because of the recession, but also because of a few changes in the way these facilities are designed and operated, data center electricity consumption is clearly much lower than what was expected

However, this reduction in growth is likely temporary, as our appetite continues to increase for internet access, streaming and cloud based services. Data centers will continue to consume growing amounts of electricity, more and more data centers will come on line, and data center managers will increasingly look to newer technologies to reduce their ever growing electricity bills. Additionally, when you consider that the estimated energy consumption of the US in 2010 was around 3,889 Billion kWh, 2% still represents close to 78 billion kWh. Clearly the trend is increased data consumption and with it increased energy consumption.

In light of these trends and despite the lower growth rates, many industry insiders are continuing to turn a critical eye toward cooling, recognizing both the inefficiencies of current approaches and the improvements possible through new technologies. The information contained herein is designed to assist the data center professional who, while keeping uptime and redundancy inviolate, must also balance growing demand for computing power with pressure to reduce energy consumption.

Issue: Understanding the Efficiency Metrics Best Practice: Adoption and use of PUE/DCiE

In furtherance of its mission, The Green Grid is focused on the following: defining meaningful, user-centric models and metrics; developing standards, measurement methods, processes and new technologies to improve data center performance against the defined metrics.

Measurements like watts per square foot, kilowatts per rack, and cubic feet per minute (CFM) are ingrained in data center dialogue. Until recently, no standard measurement existed for data center efficiency. Enter the Green Grid, a consortium promoting responsible energy use within critical facilities. The group has successfully introduced two new terms to the data center lexicon: Power Usage Effectiveness (PUE) and Data Center Infrastructure Efficiency (DCiE).

Power Usage Effectiveness (PUE)

PUE is derived by dividing the total incoming power by the IT equipment load. The total incoming power includes, in addition to the IT load, the data center s electrical and mechanical support systems such as chillers, air conditioners, fans, and power delivery equipment. Lower results are better, as they indicate more incoming power is consumed by IT equipment instead of the intermediary, support equipment.

While it s not the only consideration, cooling can be a major player in PUE measurement. Consider the following diagram, where the combination of the chiller, humidifier, and CRAC consume 45% of the total energy coming into the facility.

Data center operations best practices Where does the money go? (Source: The Green Grid)

The Uptime Institute approximates an industry average PUE of 2.5. Though there are no tiers or rankings associated with the values, PUE allows facilities to benchmark, measure, and improve their efficiency over time. Companies with large-scale data center operations, like Google and Microsoft, have published their PUE. In 2008, Google had an average PUE of 1.21 across their six company data centers. Microsoft s new Chicago facility, packed with data center containers, calculated an average annual PUE of 1.22.

The widespread adoption of PUE, left in the hands of marketing departments, leaves the door open for manipulation. Though the equation seems simple, there are many variables to consider, and users should always consider the context of these broadcasted measurements. At its core, however, the measurement encourages the benchmarking and improvement at the site level-the actions individual professionals can take to improve the efficiency of their facilities.

Data Center Infrastructure Efficiency (DCiE)

DCiE is simply the inverse of PUE-Total IT Power/Total Facility Power x 100%. DCiE presents a quick snapshot into the amount of energy consumed by the IT equipment. To examine the relationship between PUE and DCiE, A DCiE value of 33% (equivalent to a PUE of 3.0) suggests that the IT equipment consumes 33% of the power in the data center.

ASHRAE temperature and humidity recommendations:

The American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE) is an international technical society organized and a leading authority providing recommendations for data center cooling and humidity ranges. ASHRAE TC 9.9 recently released their 2008 ASHRAE Environmental Guidelines for Datacom Equipment which expanded their recommended environmental envelope as follows:


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Secure email delivery #appraise, #appraiser, #appraisal, #appraisalport, #appraiser #network, #appraiser #listings, #residential, #collateral, #cms,

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FNC, INC

SUPPORT EMAIL & PHONE

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AppraisalPort connects you to lenders

And to others who engage in real estate appraisal services. Once you are connected, AppraisalPort provides tools to build your reports quickly, accurately, and deliver them straight to your client. Learn more about AppraisalPort

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AppraisalPort is a secure, Web-based work site from which appraisers can receive orders, send completed reports, and communicate with their clients. It is integrated with FNC’s Collateral Management System®, used by many mortgage lenders, banks, and appraisal management companies. Read more AppraisalPort® FAQs

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  • Reform of EU data protection rules – European Commission #justice,european #union,eu,framework,legal,data #protection,commission


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    Reform of EU data protection rules

    The European Commission put forward its EU Data Protection Reform in January 2012 to make Europe fit for the digital age. More than 90% of Europeans say they want the same data protection rights across the EU and regardless of where their data is processed.

    The Regulation is an essential step to strengthen citizens’ fundamental rights in the digital age and facilitate business by simplifying rules for companies in the Digital Single Market. A single law will also do away with the current fragmentation and costly administrative burdens, leading to savings for businesses of around 2.3 billion a year. The Directive for the police and criminal justice sector protects citizens’ fundamental right to data protection whenever personal data is used by criminal law enforcement authorities. It will in particular ensure that the personal data of victims, witnesses, and suspects of crime are duly protected and will facilitate cross-border cooperation in the fight against crime and terrorism.

    On 15 December 2015, the European Parliament, the Council and the Commission reached agreement on the new data protection rules, establishing a modern and harmonised data protection framework across the EU. The European Parliament’s Civil Liberties committee and the Permanent Representatives Committee (Coreper) of the Council then approved the agreements with very large majorities. The agreements were also welcomed by the European Council of 17-18 December as a major step forward in the implementation of the Digital Single Market Strategy .

    On 8 April 2016 the Council adopted the Regulation and the Directive. And on 14 April 2016 the Regulation and the Directive were adopted by the European Parliament.

    On 4 May 2016, the official texts of the Regulation and the Directive have been published in the EU Official Journal in all the official languages. While the Regulation will enter into force on 24 May 2016, it shall apply from 25 May 2018. The Directive enters into force on 5 May 2016 and EU Member States have to transpose it into their national law by 6 May 2018 .

    Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation)

    Directive (EU) 2016/680 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data by competent authorities for the purposes of the prevention, investigation, detection or prosecution of criminal offences or the execution of criminal penalties, and on the free movement of such data, and repealing Council Framework Decision 2008/977/JHA

    Agreement on Commission’s EU data protection reform

    Factsheets

    Commission Proposals on the data protection reform: legislative texts

    Current legal framework


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    Healthcare Dives Into Big Data #healthcare #big #data #analytics


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    Healthcare Dives Into Big Data

    With the mandated adoption of electronic health records (EHRs), many healthcare professionals for the first time got centralized access to patient records. Now they’re figuring out how to use all this information. Although the healthcare industry has been slow to delve into big data, that might be about to change. At stake: not only money saved from more efficient use of information, but also new research and treatments — and that’s just the beginning.

    For instance, data from wireless, wearable devices such as FitBits is expected to eventually flood providers and insurers; by 2019, spending on wearables-data collection will reach $52 million, according to ABI Research. Another source of health data waiting to be analyzed: social media. Monitoring what people post can help fight insurance fraud and improve customer service.

    These are just two ways big data can be used to improve care while cutting costs, experts say.

    “We, as a society, need to start creating our own metrics for how healthcare quality is defined. In the sense of looking at costs, we know where there’s avoidable cost in healthcare. We just need to get folks the data they need to avoid those pitfalls,” said Dr. Anil Jain, senior VP and chief medical officer at Explorys. in an interview. Explorys, which is an innovation spinoff from Cleveland Clinic, is powering Accenture’s Predictive Health Intelligence in a collaboration intended to help life sciences companies determine the combination of treatments and services that can lead to better patient, provider, and economic outcomes for diabetics.

    Hosted analytics, partnerships and collaborations, and lower-cost internal applications open the door for smaller organizations to use big data, too.

    “Earlier, data warehousing and analytics was restricted to larger organizations because it was cost prohibitive. What big data has done has brought it down to smaller orgs. But the biggest challenge with these smaller markets and mid-tier organizations is resources,” Manmeet Singh, co-founder and CEO of Dataguise. told us. “Cloud is becoming very prevalent. They’re going to store a lot of data in the cloud. They’ll outsource a lot of that data to the cloud. Automation of compliance is important.”

    Having witnessed the impact that big data and analytics have on other markets — and perhaps on competing healthcare organizations — healthcare CEOs want to know how their organizations can use these tools. In a PwC study, 95% of healthcare CEOs said they were exploring better ways to harness and manage big data.

    Increasingly, CIOs can find similar organizations with pilot or full-blown projects. Forest Laboratories, for example, is collaborating with ConvergeHealth by Deloitte and Intermountain Healthcare on research to benefit patients with respiratory diseases. Using the collaborative, rapid-learning system developed by Intermountain and ConvergeHealth. Forest’s researchers use OutcomesMiner analytics software to develop new treatments and therapeutic products and improve patient outcomes.

    The move to value-based payments means healthcare providers are taking on more risk, says Jeff Elton, managing director of Life Sciences for Accenture. To manage risk and treat patients most appropriately, providers need data — accurate data from a range of sources, he tells us.

    Expanding use of big data across healthcare organizations should sound some alarms within C-level suites, Singh cautions. “From my perspective, security and compliance should be discussed from the get go. It should be part of their overall strategy.”

    In the meantime, some healthcare organizations already have plunged into big-data analytics, with impressive results. Click through our slideshow to see some innovative uses of analytics in healthcare.

    How are you using big data in healthcare projects? Let us know in the comments section.

    Alison Diana has written about technology and business for more than 20 years. She was editor, contributors, at Internet Evolution; editor-in-chief of 21st Century IT; and managing editor, sections, at CRN. She has also written for eWeek, Baseline Magazine, Redmond Channel. View Full Bio


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    4 Hot Open Source Big Data Projects #open #source, #big #data, #hadoop, #cloudera, #hortonworks


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    4 Hot Open Source Big Data Projects

    There’s more — much more — to the Big Data software ecosystem than Hadoop. Here are four open source projects that will help you get big benefits from Big Data.

    It’s difficult to talk about Big Data processing without mentioning Apache Hadoop. the open source Big Data software platform. But Hadoop is only part of the Big Data software ecosystem. There are many other open source software projects that are emerging to help you get more from Big Data.

    Here are a few interesting ones that are worth keeping an eye on.

    Spark

    Spark bills itself as providing “lightning-fast cluster computing” that makes data analytics fast to run and fast to write. It’s being developed at UC Berkeley AMPLab and is free to download and use under the open source BSD license.

    So what does it do? Essentially it’s an extremely fast cluster computing system that can run data in memory. It was designed for two applications where keeping data in memory is an advantage: running iterative machine learning algorithms, and interactive data mining.

    It’s claimed that Spark can run up to 100 times faster than Hadoop MapReduce in these environments. Spark can access any data source that Hadoop can access, so you can run it on any existing data sets that you have already set up for a Hadoop environment.

    Drill

    Apache Drill is “a distributed system for interactive analysis of large-scale datasets.”

    MapReduce is often used to perform batch analysis on Big Data in Hadoop, but what if batch processing isn’t suited to the task at hand: What if you want fast results to ad-hoc queries so you can carry out interactive data analysis and exploration?

    Google developed its own solution to this problem for internal use with Dremel. and you can access Dremel as a service using Google’s BigQuery .

    However if you don’t want to use Google’s Dremel on a software-as-a-service basis, Apache is backing Drill as an Incubation project. It’s based on Dremel, and its design goal is to scale to 10,000 servers or more and to be able to process petabytes of data and trillions of records in seconds.

    D3.js

    D3 stands for Data Driven Documents, and D3.js is an open source JavaScript library which allows you to manipulate documents that display Big Data. It was developed by New York Times graphics editor Michael Bostock.

    Using D3.js you can create dynamic graphics using Web standards like HTML5, SVG and CSS. For example, you can generate a plain old HTML table from an array of numbers, but more impressively you can make an interactive bar chart using scalable vector graphic from the same data.

    That barely scratches the surface of what D3 can do, however. There are dozens of visualization methods — like chord diagrams, bubble charts, node-link trees and dendograms — and thanks to D3’s open source nature, new ones are being contributed all the time.

    D3 has been designed to be extremely fast, it supports Big Data datasets, and it has cross-hardware platform capability. That’s meant it has become an increasingly popular tool for showing graphical visualizations of the results of Big Data analysis. Expect to see more of it in the coming months.

    HCatalog

    HCatalog is an open source metadata and table management framework that works with Hadoop HDFS data, and which is distributed under the Apache license. It’s being developed by some of the engineers at Hortonworks, the commercial organization that’s the sponsor of Hadoop (and which also sponsors Apache).

    The idea of HCatalog is to liberate Big Data by allowing different tools to share Hive. That means that Hadoop users making use of a tool like Pig or MapReduce or Hive have immediate access to data created with another tool, without any loading or transfer steps. Essentially it makes the Hive metastore available to users of other tools on Hadoop by providing connectors for Map Reduce and Pig. Users of those tools can read data from and write data to Hive s warehouse.

    It also has a command line tool, so that users who do not use Hive can operate on the metastore with Hive Data Definition Language statements.

    And More

    Other open source big data projects to watch:

    Storm. Storm makes it easy to reliably process unbounded streams of data, doing for real-time processing what Hadoop did for batch processing.

    Kafka. Kafka is a messaging system that was originally developed at LinkedIn to serve as the foundation for LinkedIn’s activity stream and operational data processing pipeline. It is now used at a variety of different companies for various data pipeline and messaging uses.

    Julia. Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments.

    Impala. Cloudera Impala is a distributed query execution engine that runs against data stored natively in Apache HDFS and Apache HBase.

    Paul Rubens has been covering IT security for over 20 years. In that time he has written for leading UK and international publications including The Economist, The Times, Financial Times, the BBC, Computing and ServerWatch.


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    6 Big Data Analytics Use Cases for Healthcare IT #healthcare #big #data #analytics


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    6 Big Data Analytics Use Cases for Healthcare IT

    BOSTON—The increasing digitization of healthcare data means that organizations often add terabytes’ worth of patient records to data centers annually.

    At the moment, much of that unstructured data sits unused, having been retained largely (if not solely) for regulatory purposes. However, as speakers at the inaugural Medical Informatics World conference suggest, a little bit of data analytics know-how can go a long way.

    It isn’t easy, namely because the demand for healthcare IT skills far outpaces the supply of workers able to fill job openings, but a better grasp of that data means knowing more about individual patients as well as large groups of them and knowing how to use that information to provide better, more efficient and less expensive care.

    Here are six real-world examples of how healthcare can use big data analytics.

    1. Ditch the Cookbook, Move to Evidence-Based Medicine

    Cookbook medicine refers to the practice of applying the same battery of tests to all patients who come into the emergency department with similar symptoms. This is efficient, but it’s rarely effective. As Dr. Leana Wan, an ED physician and co-author of When Doctors Don’t Listen. puts it, “Having our patient be ‘ruled out’ for a heart attack while he has gallstone pain doesn’t help anyone.”

    Dr. John Halamka. CIO at Boston’s Beth Israel Deaconess Medical Center, says access to patient data—even from competing institutions—helps caregivers take an evidence-based approach to medicine. To that end, Beth Israel is rolling out a smartphone app that uses a Web-based- drag-and-drop UI to give caregivers self-service access to 200 million data points about 2 million patients.

    Admittedly, the health information exchange process necessary for getting that patient data isn’t easy, Halamka says. Even when data’s in hand, analytics can be complicated; what one electronic health record (EHR) system calls “high blood pressure” a second may call “elevated blood pressure” and a third “hypertension.” To combat this, Beth Israel is encoding physician notes using the SNOMED CT standard. In addition to the benefit of standardization, using SNOMED CT makes data more searchable, which aids the research query process.

    2. Give Everyone a Chance to Participate

    The practice of medicine cannot succeed without research, but the research process itself is flawed, says Leonard D’Avolio, associate center director of biomedical informatics for MAVERIC within the U.S. Department of Veterans Affairs. Randomized controlled trials can last many years and cost millions of dollars, he says, while observational studies can suffer from inherent bias.

    The VA’s remedy has been the Million Veteran Program. a voluntary research program that’s using blood samples and other health information from U.S. military veterans to study how genes affect one’s health. So far, more than 150,000 veterans have enrolled, D’Avolio says.

    All data is available to the VA’s 3,300 researchers and its hospital academic affiliates. The idea, he says, is to embed the clinical trial within VistA, the VA EHR system, with the data then used to augment clinical decision support.

    3. Build Apps That Make EHR ‘Smart’

    A data warehouse is great, says John D’Amore, founder of clinical analytics software vendor Clinfometrics. but it’s the healthcare equivalent of a battleship that’s big and powerful but comes with a hefty price tag and isn’t suitable for many types of battles. It’s better to use lightweight drones—in this case, applications—which are easy to build in order to accomplish a specific task.

    To accomplish this, you’ll need records that adhere to the Continuity of Care Document (CCD) standard. A certified EHR must be able to generate a CCD file, and this is often done in the form of a patient care summary. In addition, D’Amore says, you’ll need to use SNOMED CT as well as LOINC to standardize your terminology.

    Echoing Halamka, co-presenter Dean Sittig. professor in the School of Biomedical Informatics at the University of Texas Health Science Center at Houston, acknowledges that this isn’t easy. Stage 1 of meaningful use. the government incentive program that encourages EHR use, only makes the testing of care summary exchange optional, and at the moment fewer than 25 percent of hospitals are doing so.

    The inability or EHR, health and wellness apps to communicate among themselves is a “significant limitation,” Sittig says. This is something providers will learn the hard way when stage 2 of meaningful use begins in 2014, D’Amore adds.

    That said, the data that’s available in CCD files can be put to use in several ways, D’Amore says, ranging from predictive analytics that can reduce hospital readmissions to data mining rules that look at patient charts from previous visits to fill gaps in current charts. The latter scenario has been proven to nearly double the number of problems that get documented in the patient record, he adds.

    4. ‘Domesticate’ Data for Better Public Health Reporting, Research

    Stage 2 of meaningful use requires organizations to submit syndromic surveillance data, immunization registries and other information to public health agencies. This, says Brian Dixon, assistant professor of health informatics at Indiana University and research scientist with the Regenstrief Institute. offers a great opportunity to “normalize” raw patient data by mapping it to LOINC and SNOMED CT, as well as by performing real-time natural language processing and using tools such as the Notifiable Condition Detector to determine which conditions are worth reporting.

    Dixon compares this process to the Neolithic Revolution that refers to the shift from hunter-gatherer to agrarian society approximately 12,000 years ago. Healthcare organizations no longer need to hunt for and gather data; now, he says, the challenge is to domesticate and tame the data for an informaticist’s provision and control.

    The benefits of this process—in addition to meeting regulatory requirements—include research that takes into account demographic information as well as corollary tests related to specific treatments. This eliminates gaps in records that public health agencies often must fill with phone calls to already burdened healthcare organizations, Dixon notes. In return, the community data that physicians receive from public health agencies will be robust enough to offer what Dixon dubs “population health decision support.”

    5. Make Healthcare IT Vendors Articulate SOA Strategy

    Dr. Mark Dente, managing director and chief medical officer for MBS Services, recommends that healthcare organizations “aggregate clinical data at whatever level you can afford to do it,” then normalize that data (as others explain above). This capability to normalize data sets in part explains the growth and success of providers such as Kaiser Permanente and Intermountain Healthcare, he says.

    To do this, you need to create modules and apps such as the ones D’Amore describes. This often requires linking contemporary data sets to legacy IT architecture. The MUMPS programming language, originally designed in 1966, has served healthcare’s data processing needs well, but data extraction is difficult, Dente says.

    Service oriented architecture is the answer, Dente says, because it can be built to host today’s data sets—as well as tomorrow’s, from sources that organizations don’t even know they need yet. (This could range from personal medical devices to a patient’s grocery store rewards card.) Challenge vendors on their SOA strategy, Dente says, and be wary of those who don’t have one.

    6. Use Free Public Health Data For Informed Strategic Planning

    Strategic plans for healthcare organizations often resort to reactive responses to the competitive market and a “built it and they will come” mentality, says Les Jebson, director of the Diabetes Center of Excellence within the University of Florida Academic Health System. Taking a more proactive approach requires little more than a some programming know-how.

    Using Google Maps and free public health data, the University of Florida created heat maps for municipalities based on numerous factors, from population growth to chronic disease rates, and compared those factors to the availability of medical services in those areas. When merged with internal data, strategic planning becomes both visually compelling (critical for C-level executives) and objective (critical for population health management), Jebson says.

    With this mapping, for example, the university found three Florida counties that were underserved for breast cancer screening and thus redirected its mobile care units accordingly.


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    Storage server, high storage dedicated server, cloud hosting services #cloud #storage #server, #server #storage

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    Storage Server

    Storing and managing useful information correctly is essential for the behind-the-scenes attainment of the goals of a company. That is why a growing number of both small and big businesses have an increasing need for secure, powerful, and affordable storage server space for keeping their useful information.

    Fortunately, at Alnitech we are committed to providing competent web server and storage solutions to assist our customers access the right tools that suit their needs.

    We provide an extensive range of state-of-the-art data storage solutions tailored to fit your application requirements, budget, and performance thresholds.

    Our storage server plans

    At Alnitech, we offer dedicated servers for rent. And, the servers can also be used as dedicated storage servers. These cloud storage servers could solve the storage problems of businesses, especially when bought together with our reliable backup service. For example, a rather big customer could purchase few servers as web servers and one as storage server for backups. Furthermore, since we offer storage servers in different locations, it would be an ideal offsite replicated backup solution.

    Depending on your specific requirements, we can offer a dedicated storage server plan that sufficiently meets your storage solutions needs. For example, one of the most popular options is the Dedicated I plan, which can be slightly modified to fit your storage server needs.

    The Dedicated I plan is normally shipped with the following default features: SUPERMICRO E3-1230 v2/v3 8GB with 1TB HDD. However, it could be configured to have 4x4TB HDDs, which gives 16TB of raw data storage or 8TB of mirrored (RAID 10) data storage, or to have 4x512GB SSD, which gives very fast 1TB storage solutions.

    Why choose Alnitech’s data storage solutions

    At Alnitech, we are committed to our customers’ success. Using only the latest enterprise-grade hardware, we accelerate their data and storage servers needs to generate results that increase their bottom line. Importantly, we ensure that the data of our customers is kept safe and secure. We frequently monitor our storage server infrastructure and replace faulty drives and disjointed processes before they cause any damage.

  • Excellent service and support

    We have a team of well-trained and committed experts who are passionate about all-things excellent. Your storage server issues will be handled quickly and professionally 24/7. Therefore, you can forget about your storage servers worries and focus on the things that really matter for the realization of your business dreams.

  • 99.9% uptime guarantee

    At Alnitech, we have built our business around providing quality and unmatched hosting services to customers. Specifically, our impeccable storage solutions offer high availability with peak performance at all times for your web hosting needs. We have invested in end-to-end network redundancy to prevent data loss from taking place. Furthermore, our sophisticated load balanced storage server clusters guarantee minimal downtime of our servers. So, you can rest assured that optimal performance will be achieved, 24/7/365.

  • Customized storage solutions

    An Alnitech expert can assist establish the best dedicated data storage solution that resonates well with your needs and preferences. We’ll set up a data storage hosting solution suitably customized to your budget and storage management requirements.

    Furthermore, we can assist customers build clusters on top of our storage infrastructure. We offer private 1Gbps interconnect between our servers that would allow connecting multiple storage servers into reliable networks by means of network protocols (iSCSI, Red Hat Global File System, Microsoft Cluster Shared Volumes, Oracle Cluster File System).

    Buy our storage server solutions

    Do you want to get the best resources for your storage servers to meet your present and future needs? Do you want to maximize the value of your business by preserving your digital assets in a secure and affordable storage solutions environment? Do you want to boost your projects with high storage dedicated server solutions?

    If any of the above captures your needs, then you are in the right place. At Alnitech, our storage dedicated server solutions are designed with the needs of our customers in mind. So, you can rely on our quality storage servers to unlock your potential and move forward much faster.

    Today, buy one of our data storage servers solutions and you will be amazed with their consistent and reliable performance. Do not miss this wonderful opportunity!

    Why choose Alnitech?

    1. Staff
    We always know how to solve problems of varying complexity.

    2. Data Center
    We always trust the reliability of our datacenter.

    3. Solutions
    We always offer a solution that reflects your needs.

    4. Innovations
    We always follow new technologies and develop new solutions.

    5. Honest pricing
    We always show the breakdown of final charges before you pay and provide complete product description.

    6. Customer-orientation
    We always work with you to find ideal custom solutions.

    7. Optimism
    We always believe in success of our customers

    8. Friendly communication
    We always communicate with a smile.

    9. Openness
    We always give you all the facts.

    10. Partnership
    We always treat our clients as partners.


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  • Professional Data Recovery Software from Bitmart #file #recovery, #data #recovery, #data #recovery #software, #undelete,

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    Professional Data Recovery, Dead Simple Interface: Next Gen Data Recovery Software File Undelete Tool for Windows, Mac, Linux, and Unix disks.

    For over 10 years, Bitmart, Inc. has been a leading developer of data recovery utilities. Our software is known for its “best of both worlds” combination of professional data recovery capabilities and user-friendly interface. Thanks to its intuitive design, users of all experience levels can tap into our sophisticated data recovery technology to recover lost files. Home users and tech professionals alike rely on our software and support to recover their data at a competitive price.

    Recently, we’ve taken our signature combination of powerful technology and intuitive interface and developed software to meet another growing need among home and business users: PC privacy protection. Our newest product gives both novices and IT experts a comprehensive secure data wiping toolset with the same competitive pricing and rock solid technical support.

    Restorer Ultimate takes data recovery technology that’s powerful enough for professionals and makes it easy-to-use for the everyday user. By building an intuitive front end onto our flagship data recovery suite, we’ve made Restorer Ultimate the ideal all-in-one tool for quick undelete operations as well as advanced file recovery, RAID recovery, disk imaging, and data recovery over network. Whether you’re a home user, entrepreneur or a professional, Restorer Ultimate will dramatically increase your data recovery capabilities without breaking your budget.

    Restorer Ultimate is a comprehensive solution for:

    • Do-it-yourself file recovery: Easily “undelete” documents, photos, videos, and other files from a memory card, internal hard drive, USB drive or network drive. The step-by-step wizard interface lets users of any skill level undelete lost files with the click of a button.
    • Corporate data recovery: A must-have data recovery tool for system administrators. Combines all necessary data recovery features like RAW file search with customizable file signatures, a RAID reconstruction module, and network data recovery. Restorer Ultimate can even recover data over the Internet, making it extremely helpful for technicians serving several locations.
    • Professional data recovery: Restorer Ultimate converts any laptop or computer into a powerful data recovery station. Whether you’re working in-house, in the field, or remotely, you’ll have all necessary professional data recovery features, including disk imaging, a text/hexadecimal editor, and even data recovery over the Internet. Restore Ultimate also includes the Restorer Ultimate Emergency Engine, which allows you to recover files from unbootable computers over a network, even if the system disk has failed or the operating system has been corrupted.

    By popular demand, we’ve developed fully stable, fully supported versions of Restorer Ultimate for both Windows and Mac OS. Restorer Ultimate for Windows and Restorer Ultimate for Mac both share the same data recovery engine, intuitive user interface, and support for every major file system.

    Restorer Ultimate – Features and Benefits

    Dead Simple User Interface

    • With the wizard-style interface, advanced data recovery features can be performed by users with little to no technical knowledge.
    • Multilanguage support for the user interface.
    • Detailed help menu, online documentation and comprehensive manual help users tap the full potential of the software.

    Demo Mode – Risk-free Evaluation

    • Demo mode lets you evaluate the full range of Restorer Ultimate’s analysis and recovery features. You can walk through a data recovery procedure all the way up until the point when a recovered file is to be saved. Then you may either save a file up to 128 KB in size, or preview a larger file. This lets you preview the extent to which you can recover your data before you invest in a license.
    • On-the-fly activation lets you purchase a registration key and complete your data recovery without restarting the process.
    • Demo mode can also be installed on remote PCs to aid in data recovery over network or Internet.

    Data Recovery Features

    • Recover data and discover deleted files from file systems created by all major platforms, including Windows, Macintosh, Linux, and Unix.
    • SmartScan data recovery technology gives you customized control even when recovering from corrupted or reformatted partitions.
    • Restore deleted files with a quick undelete, or perform a deep scan to recover previous partitions and file meta data.
    • Search for known file types or customize a file signature search.
    • Narrow your search among thousands of results with easy filtering.
    • Integrated multimedia view for graphics, video, and audio files. Estimate your chances for successful file recovery. even in Demo mode.
    • Disk and region imaging is supported.
    • Built-in text/hexadecimal editor.

    RAID Reconstruction Module

    • Restorer Ultimate can even recover data from a RAID. Restorer Ultimate’s built-in RAID reconstruction module and virtual RAID functionality allow you to recover data from failed or corrupted RAIDs with ease. No need to invest in additional software.

    Network Data Recovery (available in Restorer Ultimate Network edition)

    • Network data recovery is an essential tool, especially for complex or constrained recovery jobs. With network data recovery, you can analyze local disks from another machine without booting the system disk or physically removing the drive. For difficult to disassemble notebooks, corporate servers with advanced RAID controllers, unbootable systems, and mobile devices without removable storage, network data recovery is often the only solution. Restorer Ultimate also works over the Internet.

    No matter which data recovery tool you use, we urge you to NEVER write new data to the logical disk where the lost data resided. This includes installing applications, writing recovered files, or saving a disk image. To prevent further compromise of your lost data, Restorer Ultimate data recovery software uses read-only access to drives and never writes data to the disk.

    We recommend that you download Restorer Ultimate and test it in the DEMO mode before you purchase the software. The DEMO mode provides you with a clear picture of the software capabilities and ease of use.


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