Big Data

Amazon Web Services Says Over 1,000 Databases Moved to Cloud Since January 1

Grazed from Gadgets360. Author: Editorial Staff.

Amazon.com's cloud business, Amazon Web Services, said that more than 1,000 databases have been moved to the AWS cloud by customers since the beginning of the year. The AWS Data Migration Service, which allows migration of databases such as Oracle, SQL Server, MySQL, MariaDB and PostgreSQL from on-premises data centres to AWS, is now available to all customers, the company said on Tuesday.

Amazon Web Services said that Expedia, Pegasystems, and Thomas Publishing are among many of the customers who have moved on-premises databases to Amazon Aurora and other Amazon RDS engines. Cloud computing is the fastest growing business for Amazon, which until recently was mostly known as an online marketplace...

Read more from the source @ http://gadgets.ndtv.com/internet/news/amazon-web-services-says-over-1000-databases-moved-to-cloud-since-january-1-814460

Talend Unveils Innovative Cloud Solution to Automate Big Data Integration in Amazon Web Service (AWS) Environments

Grazed from Talend

Talend, a global leader in big data integration software, today released a new version of its Talend Integration Cloud , a secure, Integration Platform-as-a-Service (iPaaS) solution designed to help companies more easily manage on-premises, cloud and hybrid integration workloads in their AWS environments. Available now, the new release allows IT organizations to execute big data and data integration projects running on AWS Redshift or AWS Elastic Map Reduce (EMR) with fewer resources and at a reduced cost. The updated Talend Integration Cloud solution also enables developers and architects to bring native Spark processing capabilities into an iPaaS solution in order to empower departments across the enterprise with real-time analytics.

The continued growth of big data, the ‘Internet of Things’ (IoT), and expanding corporate data lakes is driving companies to move an increasing percentage of data processing to the cloud. In fact, Gartner expects that enterprise iPaaS will continue to grow at a double-digit rate over the next five years. Talend Integration Cloud delivers the fast, scalable, elastic, and secure technology businesses need to keep pace with their growing stores of data and transform that information into real-time insight.

Altiscale Launches Altiscale Insight Cloud

Grazed from Altiscale, Inc.

Altiscale, Inc., the leading provider of Big Data-as-a-Service, today introduced a new solution, the Altiscale Insight Cloud, a self-service analytics solution for Big Data. The Altiscale Insight Cloud supplies the critical missing bridge between Big Data and the business user -- a rapidly queried data lake that enables business analysts to get critical answers all by themselves, while using familiar business intelligence tools like Tableau and Microsoft Excel.

The Altiscale Insight Cloud powers interactive SQL queries, dynamic visualizations, real-time dashboards, and other reporting and analytics capabilities. As a high-performance, self-service analytics solution, the Altiscale Insight Cloud replaces more complex, expensive alternatives that require heavy IT involvement, allowing Big Data to be harnessed more broadly and quickly throughout the organization and improving the speed and size of business impact. 

Cloud Computing: Microsoft is bringing SQL Server to Linux next year

Grazed from theInquirer. Author: Daniel Robinson.

In an unexpected move, Microsoft has announced that it is prepping a version of SQL Server for Linux systems. The company has provided public preview releases of SQL Server 2016 since May last year, and the release candidate version was last updated at the start of this month. Microsoft will now herald the arrival of SQL Server 2016 with a Data Driven event in New York on 10 March culminating in general availability of the platform later this year.

However, Microsoft has announced that it will also bring SQL Server to Linux, starting with the core relational database capabilities currently available in the private preview release and full availability slated for the middle of 2017. Bringing SQL Server to Linux will enable Microsoft to deliver a consistent data platform across Windows Server and Linux, as well as on-premise and cloud, according to Scott Guthrie, executive vice president for Microsoft's Cloud and Enterprise Group...

Europe looks to farm big data rules

 Grazed from FarmWeekly.  Author: Tom McKenny.

A European ag equipment association has called for international regulation and standards for big data in the ag sector to boost the productivity, sustainability and profitability of farms.  CEMA, the association representing the European agricultural machinery industry, was responding to the European Commission's public consultation on the regulatory environment for online platforms, online intermediaries, data and cloud computing and the collaborative economy.
 
CEMA said online platforms and cloud computing services should be regulated by sector-specific standards set at international level by the industry.  “We strongly encourage the European Commission to look at the already ongoing activities related to aggregation of data, encryption and communication”, it said in its submission...

Qubole Closes $30 Million Investment to Extend Leadership in Big Data in the Cloud

Grazed from Qubole.

Qubole, the big data-as-a-service company, today announced that it has closed a $30 million Series C financing, bringing its total funding to $50 million. IVP led the financing and General Partner Somesh Dash will join the Qubole board of directors. Existing investors CRV, Lightspeed Venture Partners and Norwest Venture Partners invested additional capital into the company as part of the financing.

Qubole will use this funding to expand the availability of Qubole Data Service (QDS), a self-service platform for big data analytics, and to integrate new data engines so customers can choose the right tool for their data analytics needs. Qubole has seen great traction in a number of industries, with customers including Datalogix (Oracle), BloomReach, Pinterest, TubeMogul and Fanatics. The company plans to target several new verticals, including Internet of Things (IoT), life sciences and retail. Additionally, the company will target larger enterprises that are accelerating their usage of the cloud. It will also expand its customer acquisition efforts in the APAC and EU regions.

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 Tech.co. 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:...

Read more from the source @ http://tech.co/big-data-startups-won-2015-2015-12

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...