Results for Apache

MapR's Spyglass Initiative Will Capture Deeper-Dive Analytics, Views for Improving Big Data Operations

This month, MapR Technologies is set to shine a brighter light on big data operations and management by capturing and displaying yet-unseen analytics for MapR Converged Data Platform components for NoSQL, Hadoop, and Spark.  IDN looks at how MapR's Spyglass could power the next leg in big data adoption.

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Couchbase Update Aims at Simplifying the Transition from Relational to NoSQL

To help meet growing demands from enterprise IT for easier ways to adopt non-relational databases, Couchbase, a leading NoSQL provider, is shipping a new release of its server technology with some eye-catching features.

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Oracle GoldenGate Delivers Data for Real-Time Digital Enterprise from On-Premises and Cloud

Oracle GoldenGate data transfer and replication technologies, including a new cloud-based service, are making it faster and easier for customers to move data in real-time from diverse sources to where it needs to be – for analytics, mobile and cloud apps.   IDN speaks with Oracle’s Jeff Pollock.

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BlueData Alleviates More Big Data Complexities; Spins Hadoop and Spark Clusters in Minutes

BlueData is shipping an update to its EPIC (Elastic Private Instant Clusters) platform. The Spring edition adds features to solve vexing challenges that can complicate and slow down Big Data deployments.

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Restlet Updates its DHC API Testing Tool To Bridge Gap Between API Designers & Consumers

Restlet is shipping an update to its DHC API testing tool, adding automation and other capabilities to let developers better use APIs for web, mobile, cloud and IoT apps. IDN looks at this first major update since Restlet acquired DHC last fall with Restlet founder and CTO Jerome Louvel.

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Syncfusion Ships Production Release for its Big Data Platform for Windows

Syncfusion Inc. is shipping its first production release for its Hadoop distribution -- designed expressly for Windows.  The rollout of Syncfusion Big Data Platform come more than a year after its beta release of big data tools and frameworks to support Apache Spark, Apache HBase, and Scientific Python -- along with many other Hadoop must haves.

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MapR Ushers in New Year for Big Data; Breaks Down Data Silos with Converged Data Platform

In January, MapR will ship its new Converged Data Platform, designed to break down silos by integrating file, database, stream processing, and analytics on one platform. IDN talks with MapR about the new platform – and tips for IoT-ready big data.

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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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MapR 5.0 Brings Real-Time to Hadoop Big Data Apps, Searches and More

MapR Technologies’ latest update to its Hadoop distro delivers a new level of real-time capabilities to big data apps. Notably, MapR 5.0 supports access to transactional data by auto-synchronizing storage, database and search indices. IDN speaks with MapR’s Jack Norris.

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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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MapR Embraces Apache Spark To Ease ‘Real-Time’ Analytics with Hadoop

MapR Technologies wants to make it easier for Hadoop to deliver real-time analytics by adding full Apache Spark support to its MapR Hadoop distribution. To learn how full Spark support will help devs and IT operations, IDN talks with MapR’s Jack Norris.

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