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Cazena Announces New Data Science Sandbox as a Service

Cazena unveiled its Data Science Sandbox as a Service. The service is designed to deliver significantly faster outcomes from data science and analytics programs. Now, data scientists can run a wide range of analytics in a flexible cloud environment without having to build, manage or maintain the underlying technology.

Introducing Hazelcast Jet – A New Lightweight, Distributed Data Processing Engine

Hazelcast, a leading open source in-memory data grid (IMDG) with hundreds of thousands of installed clusters and over 17 million server starts per month, today launched Hazelcast Jet – a distributed processing engine for big data streams. With Hazelcast’s IMDG providing storage functionality, Hazelcast Jet is a new Apache 2 licensed open source project that performs parallel execution to enable data-intensive applications to operate in near real-time.

Key Challenges for Commercial Text Miners

Researchers use text mining tools to extract and interpret facts, assertions, and relationships from vast amounts of published information. Mining accelerates the research process. However, despite the many benefits of text mining, researchers face a number of obstacles before they even get a chance to run queries against the bigger body of literature. Read on as Michael Iarrobino, Product Manager at Copyright Clearance Center, explains the key challenges for commercial text miners.

The Exponential Growth of Data

This is the first entry in an insideBIGDATA series that explores the intelligent use of big data on an industrial scale. This series, compiled in a complete Guide, also covers the changing data landscape and realizing a scalable data lake, as well as offerings from HPE for big data analytics. The first entry is focused on the recent exponential growth of data.

4 Ways to Encourage Big Data Adoption in Your Business

In this contributed article, technology writer and blogger Kayla Matthews offers four ways to encourage big data adoption in your business. If you’re trying to stimulate interest in big data throughout your organization and get employees on board, keep reading, encouraging adoption may not always be straightforward, but it’s a worthwhile endeavor.

Why Small Businesses Shouldn’t Fear Big Data

In this contributed article, tech writer Linda Gimmeson discusses how big data technology isn’t just for large enterprises, but rather with a bit of ingenuity, there are feasible ways for small businesses to leverage big data as well.

Informatica Fast Tracks Journey to the Cloud with Pay-As-You-Go Pricing for Informatica Cloud Services for Microsoft Azure

Informatica, a leading worldwide provider of data management solutions, announced the availability of hourly pricing for Informatica Cloud® Services for Microsoft Azure in the Azure Marketplace. Now available as a pay-as-you-go hourly pricing model, this solution is designed to help users of the Azure cloud platform and Microsoft Cortana Intelligence Suite jump-start cloud data integration and management projects.

BlueData Delivers Ultimate Flexibility and Choice for Big Data Deployments on Amazon Web Services

BlueData, provider of a leading Big-Data-as-a-Service (BDaaS) software platform, announced the general availability of its BlueData EPIC software on Amazon Web Services (AWS). BlueData EPIC on AWS delivers ultimate flexibility and choice for Big Data environments, enterprise-class security and cost controls for multi-tenant deployments, as well as the ability to tap into both Amazon S3 and on-premises storage.

Industry’s Most Comprehensive Big Data Maturity Survey Reveals Surprising State of Hadoop, Dramatic Rise of Big Data in the Cloud

AtScale, the company that provides enterprises with a fast and secure self-service analytics platform for Big Data, announced the results of the 2016 Big Data Maturity Survey. Based on 2,550+ responses from big data professionals at 1,400 companies across 77 countries, the report reveals new & unexpected insights about Cloud, Big Data, Business Intelligence, Hadoop and Spark.

Striim Highlights Commitment to Big Data Integration and Support for Hybrid Cloud Infrastructures with New Release

Striim, Inc., announced that it has launched a new version of its end-to-end real-time data integration and streaming analytics platform. On the heels of Striim’s mega release of version 3.6, Striim further underscores its commitment to seamless integration with Big Data and Cloud environments with this release.