Big Data & Analytics News

Dell Teams with Cloudera, Syncsort to Simplify ‘ETL for Hadoop’ Architecture

Dell is working with big data pioneers Cloudera and Syncsort to co-design an easy-to-adopt ETL-to-Hadoop solution that streamlines major parts of the lifecycle – planning, design, construction and deployment

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Hortonworks Acquires Onyara; Launches DataFlow To Tackle 'Internet of Anything' Solutions

Hadoop distribution vendor Hortonworks has acquired Onyara, the company behind the Apache NiFi open source project that aims to automate the flow of data between systems. Hortonworks aims to make it easier to automate and secure the data flows from ‘Internet of Anything’ projects. 

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Cloudera Intensifies Commitment to Unify Hadoop and Spark for Enterprise-Class Big Data

This fall, Cloudera is intensifying its commitment to make Apache Spark a replacement for MapReduce in the Hadoop ecosystem as the core data execution engine for workloads. Cloudera execs speak with IDN about their next roadmap for improving Spark’s scale, security, management and more.

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Software AG, Zementis Partner on Pre-Built Predictive Analytics for Digital Business Platform

Software AG is looking to make it easier to provide business insights that can predict the future. The company is adding predictive analytics capabilities to its Digital Business Platform under a partnership with Zementis, Inc.

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Developer Survey on Internet of Things: Uncovers ‘Not-So-Great’ Expectations?

The current state of the IoT is a kind of Dickensian dichotomy. It’s not quite "best of times, worst of times," but it’s true there is both excitement and concern. IDN looks at the study by Progress Software and Harbor Research that surveyed 700 developers.

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Datameer Adds End-to-End Data Governance Capabilities to Hadoop Analytics

Datameer is adding data governance capabilities to its native Hadoop platform environment. The broad range of updates provide an extensive level of end-to-end governance, with features for audit, lineage, impact analysis, security and versioning.

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How Apache Drill Could ‘Democratize’ Big Data: Simplicity, Self-Service & Lower Cost

For big data adopters, Spring 2015 was a sweet season of simplicity. One big example: Apache Drill lets non-technical users explore huge and varied sets of data on-the-fly – and avoid tons of time and expense on data prep by IT.  To see how Drill could democratize big data, IDN talks with MapR Technologies’ CMO Jack Norris.

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AIR, Actian Partnership Brings Big Data To Risk Modeling & Risk Management

As we enter a new hurricane season, Actian Corp. and AIR Worldwide are showing how big data is set to deliver new insights for risk management. The Actian / AIR partnership marries high-performance analytics with risk modeling – giving insurers more complete views of risk.

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Aqua Data Studio 16 Adds Treemaps, Binning for Smarter Data Visualization

AquaFold Inc. has updated its Aqua Data Studio database management and analytics software with new features, charts and options to let users more easily produce and share a rich variety of data visualizations.

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Denodo Updates Data Virtualization Platform for Agile BI, Big Data Analytics

Denodo Technologies’ latest update to its data virtualization platform adds features to give big data a bigger bang.  Denodo Platform 5.5 looks to unify departmental data silos, as well as deliver more data variety and volume.

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Lavastorm Adds Predictive Analytics for Business Analysts

Lavastorm has added new analyst-friendly features to its analytics platform and engine. The upgrade looks to ‘democratize’ predictive analytics projects more easily for companies that don’t have highly-skilled data scientists or hard-to-find Hadoop programmers.

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Zettics 9.0 Insights Brings Pre-Built Big Data ‘Apps’ To Network Operation Problem Solving

Analytics technology firm Zettics is providing a deeper set of big data-based insights for network operators.  Zettics 9.0 insights, which are offered in a format that resembles pre-built Hadoop apps, enable operators to solve specific business problems, get subscriber feeds to their big data platforms, and perform ad-hoc sandbox analysis for data discovery.

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