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Zoomdata Raises $17M

Venture capitalists remain bullish on data analytics startups. Stream processing engine specialist Zoomdata Inc. said Oct. 6 it has raised $17 million in a Series B funding round led by Accel Partners....

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LinkedIn Spinoff Confluent to Extend Kafka

The LinkedIn team that built the Apache Kafka real-time messaging service has left to form a new company called Confluent. The startup said it would offer a “real-time data platform” built around...

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What’s Driving the Rise of Real-Time Analytics

Hadoop gave us a taste of the types of insights big data analytics can deliver, and provided a competitive advantage to early adopters. But as data volumes grow, as the time-to-insight window shrinks,...

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Kafka Gets a Stream-Processing Makeover

A new library for building streaming applications seeks to shift the focus from analytics to developing core application used to process data streams. Confluent Inc. announced a technical preview this...

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Distributed Stream Processing with Apache Kafka

We’re only three months into 2016, but it has been an exciting year in open source and big data. With a marked jump in growth, usage and queries on Apache Kafka (Redmonk), the demand for engineering...

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Apache Kafka Gains Traction Among Enterprise Users

The embrace of stream processing and real-time data access is driving enterprise adoption of the Apache Kafka distributed messaging system, according to an industry survey released at a Kafka summit...

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Merging Batch and Stream Processing in a Post Lambda World

It wasn’t long ago that developers looked to the Lamba architecture for hints on how to design big data applications that needed elements of both batch and streaming data. But already, the Lamba...

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Concord Claims 10x Performance Edge on Spark Streaming

Organizations that are looking for a stream processing engine upon which to build fast data applications featuring high-throughput and low-latency may want to check out Concord, a new framework that...

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Apache Flink Gears Up for Emerging Stream Processing Paradigm

We’re close to the next release of Apache Flink, the stream processing engine developed by data Artisans. Flink version 1.1.1 will bring new SQL interface for working with streaming data, while bigger...

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Flink Distro Now Available from data Artisans

The company behind Apache Flink, data Artisans, today launched the first commercial distribution of the upstart stream processing engine. The new software product, called the dA Platform, is identical...

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MemSQL Delivers an ‘Exactly Once’ Real-Time Pipeline

MemSQL today unveiled a new release of its in-memory relational database that can process a real-time flow of messages from Apache Kafka using “exactly once” semantics. The NewSQL database accomplished...

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Acquisition Validates Concord’s Event-Based Approach

We suggested during the summer that companies looking for a stream-processing engine for fast data applications featuring high-throughput and low-latency may want to check out startup Concord Systems...

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Kafka Gets Server, API Upgrades

The latest feature release from the Apache Kafka stream processing community includes server support for time-based search along with more than 200 bug fixes and other improvements. Confluent Inc.,...

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Exactly Once: Why It’s Such a Big Deal for Apache Kafka

Organizations building real-time stream processing systems on Apache Kafka will be able to trust the platform to deliver each messages exactly once when they adopt new Kafka technology planned to be...

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How Kafka Redefined Data Processing for the Streaming Age

The Apache Kafka phenomenon reached a new high today when Confluent announced a $50 million investment from the venture capital firm Sequoia. The investment signals renewed confidence that Kafka is...

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Flink Aims to Simplify Stream Processing

Apache Flink has emerged as a powerful framework for building real-time stream processing applications that has gained traction by some of the most progressive tech companies in the world, including at...

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Kafka ‘Massively Simplifies’ Data Infrastructure, Report Says

What’s behind the rapid rise in Apache Kafka? According to a new survey of Kafka users by Confluent, the commercial venture behind Kafka, the data pipeline’s capability to “massively simplify” the IT...

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The Real-Time Future of ETL

We’re on the cusp of a huge uptick in data generation thanks to the IoT, but most of that data will never be landed in a central repository or stored for any length of time. To get a handle on this...

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Google/ASF Tackle Big Computing Trade-Offs with Apache Beam 2.0

Trade-offs are a part of life, in personal matters as well as in computers. You typically cannot have something built quickly, built inexpensively, and built well. Pick two, as your grandfather would...

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How Pandora Uses Kafka

As a big Hadoop user, Pandora Media is no stranger to distributed processing technologies. But when the music streaming service decided to transition its ad tracking system from a batch-oriented system...

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