LinkedIn's Kafka Monitor, Apple's Siri Are Set Free: Big Data Roundup

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Whether your organization is considering the use of big data and analytics, or has taken its first

LinkedIn contributes Kafka Monitor to open source and Apple prepares to open Siri to third-party developers. We have all this, plus news about Confluent and Tinkerpop, in our Big Data Roundup for the week ending May 29, 2016.

LinkedIn released another big data technology to open source. Confluent announced version 3.0 of its platform. Apple prepares to open its AI assistant Siri to developers. And big data graph computing framework TinkerPop is now a Top-Level Project at the Apache Software Foundation. We have all this and more in our Big Data Roundup for the week endeding May 29, 2016.

Let's start with the news from LinkedIn. This careers social media hub, known for incubating the big data streaming technology Apache Kafka, has released a new technology to open source, designed to enhance the Kafka experience for organizations. The company announced it is releasing Kafka Monitor to open source, available now on Github under Apache 2.0 License.

The technology is designed to provide a simple way to reliably measure the availability of Kafka clusters, according to Dong Lin, software engineer at LinkedIn, who announced the release on the organization's engineering blog.

[ How big will big data get? Read Big Data, Analytics Sales Will Reach $187 Billion By 2019. ]

Lin said that Kafka Monitor is a framework for monitoring and testing Kafka deployments, and it fixes some of the issues developers have faced with the process in the past.

Speaking of Kafka, Confluent, the LinkedIn spinoff created as the commercial entity distributing Apache Kafka, has released version 3.0 of its Confluent Platform. In a blog post, CTO Neha Narkhede announced the release of both Apache Kafka 0.10 and the newest version of the Confluent Platform.

"For organizations that want to build a streaming data pipeline around Apache Kafka, Confluent Platform is the easiest way to get started," she wrote. "As the creators of Apache Kafka, we learned from our own and others' experiences as some of the largest companies in the world transitioned to a central stream data platform and have assembled an open-source, well-tested and fully supported platform of extensions on Kafka that make it more capable and easier to deploy and operate."

The platform includes Kafka Streams, certified and tested connectors to other data sources, C and Python clients, and a REST proxy to enable production and consumption of messages from applications built in any language.

In other open source big data news, TinkerPop has graduated from its incubator program to Top-Level Project status in the Apache Software Foundation. TinkerPop is a graph computing framework which provides developers with tools needed to build modern graph applications in any application domain and at any scale, according to a statement issued by ASF.

"Graph databases and mainstream interest in graph applications have seen tremendous growth in recent years," said Stephen Mallette, VP of Apache TinkerPop and a software engineer at DataStax. Current users of TinkerPop include DataStax, IBM, and Amazon.

Not to be outdone by rival Amazon and Google in the AI home assistant market, Apple is reportedly getting ready to open its Siri voice service to third-party applications. Amazon already has a product in this market called Amazon Echo. Google recently announced plans to release the Google Assistant bot and Google Home product later this year.

The Apple device is expected to be able to turn on music playlists, set timers and alarms, and read the news. The device is also reportedly designed to work with Apple's Homekit platform, letting it turn on and off appliances via voice commands.

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