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Channel: George Vetticaden – Hortonworks

Apache Metron Tech Preview 2 Available Now!

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Accelerated Threat Triage and Expanded Deployment Options Two months ago, the Metron Engineering and PM team  released  Technical Preview 1 of Apache Metron based on the 0.1 release. We shared our vision for an open community based cybersecurity solution that provides real-time, cross-referenced and contextualized big data to combat cyber threats. Apache Metron Reference Architecture As the above […]

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Part 1: Hortonworks Thoughts on Building a Successful Streaming Analytics Platform

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As part of the product management leadership team at Hortonworks, there is nothing more valuable than talking directly with customers and learning about their successes, challenges, and struggles implementing their big data and analytics use cases with HDP and HDF. These conversations provide more insight than any analyst report, white paper, or market study. In […]

The post Part 1: Hortonworks Thoughts on Building a Successful Streaming Analytics Platform appeared first on Hortonworks.

Part 2 of HDF Blog Series: A Shared Schema Registry: What is it and Why is it Important?

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In Part 1 of this series, we discussed how data-in-motion solutions require both flow management and stream analytics capabilities. Also, we introduced an exciting new technology that Hortonworks is in the process of releasing that helps users build streaming analytics apps faster and caters to three different personas in the enterprise: app developer, operations teams and the […]

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Part 4: SAM’s Stream Builder – Building Complex Stream Analytics Apps without Code

Announcing the General Availability of Hortonworks DataFlow 3.1

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We are thrilled to announce the general availability of Hortonworks DataFlow (HDF) version 3.1 – introducing powerful new data-in-motion capabilities for edge analytics, flow management and streaming analytics, all powered and managed by a set of enterprise management services for governance, security and monitoring. The governing vision of HDF is to be the industry leading […]

The post Announcing the General Availability of Hortonworks DataFlow 3.1 appeared first on Hortonworks.

HDF 3.1 Blog Series Part 3: Kafka 1.0 Support with Powerful HDF Integrations

Hortonworks DataFlow (HDF) 3.1 Blog Series Part 4: Unit Testing and Continuous Integration & Delivery of Streaming Analytics Apps

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Last week, as part of the HDF 3.1 Blog Series, we talked about support for Apache Kafka 1.0 and the powerful HDF integrations including Apache NiFi’s Kafka processors, Apache Ambari for provisioning/management/monitoring and Ranger for access control policies and audit for Apache Kafka. Today, in this fourth part of the series, we discuss the innovations added […]

The post Hortonworks DataFlow (HDF) 3.1 Blog Series Part 4: Unit Testing and Continuous Integration & Delivery of Streaming Analytics Apps appeared first on Hortonworks.

Addressing Kafka Blindness

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IN HDF 3.1, we announced support for Apache Kafka 1.0 with powerful integrations with Apache Ambari, Apache Ranger, and Apache Atlas. In the last 12 months, we have seen Kafka emerge as a key component in many of our customers streaming architectures’. A common architecture looks something like the following: Different customers or even different groups within […]

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Introducing Hortonworks Streams Messaging Manager (SMM)

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Last week, we discussed how  the omnipresence of Kafka in application architectures has led to the Kafka Blindness afflicting DevOps/AppDev,  Platform Operations and Security/Goverenance teams within the enterprise. These groups are struggling to effectively battle this blindness with the current tooling available. Over the last 12 months, the Hortonworks team has been working with these […]

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Solving the Needs of DevOps / Developers with Streams Messaging Manager

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Two weeks ago, we announced the GA of Streams Messaging Manager (SMM) 1.0 to cure enterprises of their Kafka Blindness. We discussed how SMM addresses the needs of three groups in the enterprise: Platform Operations, DevOps/Developers and Security/Governance teams. In this second installment of the SMM blog series, we focus on the DevOps/Developers persona and explain […]

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Democratizing Analytics within Kafka with Three New Access Patterns

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With the release of Hortonworks Streams Messaging Manager (SMM) this year, we have focused on helping DevOps and Platform teams cure their Kafka Blindness. The Hortonworks product and engineering teams continue to invest in building powerful new capabilities in SMM with new upcoming features like alerting and topic lifecycle management. In addition to the SMM […]

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Kafka Streams – Is it the right Stream Processing engine for you?

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In an earlier blog post, Democratizing Analytics within Kafka With 3 Powerful New Access Patterns in HDP and HDF, we discussed different access patterns that provides application developers and BI analysts powerful new tools to implement diverse use cases where Kafka is key component of their application architectures. In this blog, we will discuss in detail […]

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Building Secure and Governed Microservices with Kafka Streams

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With Hortonworks DataFlow (HDF) 3.3 now supporting Kafka Streams, we are truly excited about the possibilities of the applications that you can benefit from when combined with the rest of our platform. In this post, we will demonstrate how Kafka Streams can be integrated with Schema Registry, Atlas and Ranger to build set of microservices […]

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Monitoring Kafka Streams Microservices with Hortonworks Streams Messaging Manager (SMM)

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In last week’s blog Secure and Governed Microservices with HDF/HDP Kafka Streams Support, we walked through how to build microservices with the new Kafka Streams support in HDF 3.3 and HDP 3.1 that is fully integrated with Ranger, Schema Registry and other platform services. This blog is all about monitoring these microservices with Hortonworks Streams Messaging […]

The post Monitoring Kafka Streams Microservices with Hortonworks Streams Messaging Manager (SMM) appeared first on Hortonworks.

Introducing Hive-Kafka integration for real-time Kafka SQL queries






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