Big Data

The Future of Information: Linking Cloud, Cybersecurity and Big Data Investment

Grazed from INNDaily. Author: Morag McGreevey.

Sometimes it seems like every other business is a cloud-based company. This internet-based computing service has entirely transformed the way information is processed, organized, stored and shared. Indeed, it seems almost impossible to separate the explosion of big data from cloud computing.

However, the rapid transition from old school data management to the highly efficient data centers driving today’s markets has created a need for cybersecurity solutions. With sensitive personal information, healthcare records and financial records being managed by these systems, cloud security has emerged as a vital aspect of protecting this data. As a result, cloud computing, cybersecurity and big data investment have formed an important nexus in the tech space...

The High Costs Of Hosting Science's Big Data: The Commercial Cloud To The Rescue?

Grazed from Forbes. Author: Kalev Leetrau.

Science Magazine’s first issue of 2016 includes a discussion chronicling how the National Institutes of Health (NIH) is re-exploring how it manages funding for the many biomedical database products it supports. In particular, the NIH National Human Genome Research Institute (NHGRI) is expected to close out its funding of the Online Mendelian Inheritance in Man (OMIM) database, one of the oldest genomic databases that has run continuously for 50 years. What does this mean for the future of scientific big data hosting?

Today the NIH spends more than $110 million a year on its largest 50 databases, excluding those hosted by the National Library of Medicine (NLM). OMIM, supported by NHGRI, costs $2.1 million a year and draws more than 300,000 unique users a month and 23 million page views a year, while the Gene Ontology Consortium draws 36,000 users a month at a cost of $3.7 million a year...

These Are the Big Data Startups That Won 2015

Grazed from Author: Philip Kushmaro.

If you think about just how much data is on the web right now, it’s not surprising that Big Data analytics have become the fastest growing segment of the IT industry. After all, they’re designed to unscramble the mess of online data us laypeople have created and rearrange it into something nice, neat, and understandable.

Naturally, as the year ends, it’s time to reflect on this year’s major players—startups that have continuously flooded news outlets with announcements of funding rounds, prestigious awards, and just plain awesome technology. That being said, here are five Big Data analytics startups that have genuinely impressed us in 2015:...

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Blueprint: The (Near) Future of Enterprise Apps, Analytics, Big Data and The Cloud

Grazed from Converge. Author: Derek Collison.

In 2016, technical innovation, combined with evolutionary trends, will bring rapid organizational changes and new competitive advantages to enterprises capable of adopting new technologies. Not surprisingly, however, the same dynamics will mean competitive risk for organizations that have not positioned themselves to easily absorb (and profit from) new technological changes. The following predictions touch on some of the areas in IT that I think will see the biggest evolutions in 2016 and beyond.

1. Hadoop: old news in 24 months. Within the next two years, no one will be talking about big data and Apache Hadoop—at least, not as we think of the technology today. Machine Learning and AI will become so good and so fast that it will be possible to extract patterns, perform real-time predictions, and gain insight around causation and correlation without human intervention to model or prepare raw data...

SQL Server 2014 features enable hybrid cloud scenarios

Grazed from TechTarget. Author: Basit Farooq.

Microsoft continues to improve the integration between its cloud and on-premises products and services, and SQL Server 2014 features take a big step in that direction by enabling hybrid cloud scenarios. Now you can integrate an on-premises platform with the Microsoft Azure cloud computing platform (e.g., to back up data in Azure or add an AlwaysOn replica in Azure virtual machines, or VMs, for improved on-premises disaster recovery).

Let's look at the features that allow your organization to use SQL Server 2014 to create hybrid cloud scenarios and move from an on-premises data center at your own pace. SQL Server 2014 features enable native support for SQL Server database files as Microsoft Azure blobs. This feature, which lets you create and place your database data and log files as blobs in Microsoft Azure storage, works for on-premises SQL Server instances and SQL Server instances running in Azure VMs...

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Cloud Computing: Breaking Down The Big Data Top Job Skills

Grazed from CloudTweaks. Author: Jennifer Klostermann.

For those in the tech arena – and let’s face it, we’re all in the tech arena somehow – a few abilities are topping all of the must-have skills lists. Inc. points to the growth of Big Data, Cloud Computing, and Data Virtualization as three of the six major trends we should all be keeping up with, supported by countless other industry analysts.

Data and Cloud technologies have effectively transformed both our personal and business landscapes, so skilling up in these areas is a necessity. This year, the Cloud will become the “new normal”, reports TechRadar. Dramatically cutting cost by digitizing information-intensive processes, it’s been predicted that the end of 2015 will see a world of hybrid deployments...

Cloud Computing: Machine learning and big data know it wasn't you who just swiped your credit card

Grazed from EconoTimes. Author: Jungwoo Ryoo.

You’re sitting at home minding your own business when you get a call from your credit card’s fraud detection unit asking if you’ve just made a purchase at a department store in your city. It wasn’t you who bought expensive electronics using your credit card – in fact, it’s been in your pocket all afternoon. So how did the bank know to flag this single purchase as most likely fraudulent?

Credit card companies have a vested interest in identifying financial transactions that are illegitimate and criminal in nature. The stakes are high. According to the Federal Reserve Payments Study, Americans used credit cards to pay for 26.2 billion purchases in 2012. The estimated loss due to unauthorized transactions that year was US$6.1 billion...

7 ways the cloud provides flexibility for big data

 Grazed from Dell.  Author: Brian T. Horowitz.

To manage 50 billion market events — nearly a petabyte of stored data — the Financial Industry Regulatory Authority (FINRA) turned to the Cloudera Enterprise big data platform along with an Amazon Web Services infrastructure.  FINRA is an independent regulator overseen by the Securities and Exchange Commission. Apache Hadoop, an open-source framework written in Java that enables storage and processing of large data sets, powers Cloudera Enterprise.
The Cloudera platform will help FINRA adhere to the requirements for dynamic monitoring of financial markets and allow the organization to scale for future growth.  The AWS cloud service FINRA uses is compatible with applications such as Dell Cloud Manager, as well as Dell Managed Cloud Services...

ExtraHop Introduces Explore Search Appliance for Turnkey Big Data Analytics

Grazed from ExtraHop.

ExtraHop, the global leader in real-time wire data analytics for IT and business intelligence, today announced the fifth generation of its platform. The company's latest innovation positions ExtraHop as a pioneer in real-time stream analytics for all data-in-motion with market-leading dynamic discovery and universal observation capabilities. These features, when paired with the new ExtraHop Explore appliance, deliver sophisticated historical search and multi-dimensional analysis of all wire data. Extended Open Data Stream capabilities include support for Kafka and REST, delivering correlation and contextualization to extract value from a wider array of datasets.

In his October 2015 report, "Causal Analysis Makes Availability and Performance Data Actionable," Gartner Research VP Will Cappelli wrote: "Recognition that more data does not equate to availability and performance process improvement is cascading across global enterprises. As a result, users have begun to insist that any ITOA solution should focus not only on the ingestion, storage and access to data, but also on tools for making that data meaningful and actionable."

Cloud Computing: IBM's purchase of The Weather Company's digital assets is all about the data

Grazed from Mashable. Author: Andrew Freedman.

At first glance, IBM's purchase all the digital assets of The Weather Company, except the broadcast network, might seem an odd fit. Why would a company best known for its consulting business, "Smart Cities" Initiative and Watson computing division want to absorb a company filled with weather and climate geeks? Clearly, it's for the data.

Specifically, the company's computer models that analyze three billion weather forecast reference points, more than 40 million smartphones and 50,000 airplane flights per day. IBM is hoping that weather and climate data will enable the company to expand its suite of predictive tools marketed to sectors ranging from retailers, which need to decide what to stock on their shelves, to local governments that have to determine whether to evacuate citizens ahead of a hurricane...