It's fair to say that most developers are familiar with Stack Overflow and the Stack Exchange network of question and answer sites. Q&A sites such as Stack Overflow serve communities of users focused around a particular topic or discipline – in the case of Stack Overflow, programming. Today, we're launching Ask StreamSets, a Q&A site for the StreamSets community.
‘Simplicity is the ultimate sophistication.’
– Leonardo da Vinci
As a recent hire on the Engineering Productivity team here at StreamSets, my early days at the company were marked by efforts to dive head-first into StreamSets Data Collector (SDC). As it turns out, the Docker images we publish for SDC were the easiest way to explore its vast set of features and capabilities, which is exactly why I am writing this blog post.
Without further ado, let’s get started.
We are happy to announce version 2.7.1.0 of StreamSets Data Collector. This release has a number of new features, improvements and bug fixes. For a list of all our new features, please see What's New. For a list of bug fixes and known issues, see the Release Notes.
It’s simple to connect StreamSets Data Collector (SDC) to Apache Kafka through the Kafka Consumer Origin and Kafka Producer Destination connectors. And because those connectors support all Kafka Client options, including the secure Kafka (SSL and SASL) options, connecting to an SSL-enabled secure Kafka cluster is just as easy. In this blog post I'll walk through the steps required.
We are happy to release version 2.7.0.0 of StreamSets Data Collector.
You can download the latest open source release here.
This release has 134 new features and improvements and over160 bug fixes. For a full list, see What's New. For a list of bug fixes and known issues, see the Release Notes.
In today’s microservice revolution, where software applications are designed as independent services that work together, two technologies stand out. Docker, the defacto standard for containerization, and Kubernetes, a container orchestration and management tool. In this blog I will explain how to run StreamSets Data Collector (SDC) Docker containers on Kubernetes.
Redis is an open-source, in-memory, NoSQL database implementing a networked key-value store with optional persistence to disk. Perhaps the most popular key-value database, Redis is widely used for caching web pages, sessions and other objects that require blazingly fast access – lookups are typically in the millisecond range.
At RedisConf 2017 I presented a session, Cache All The Things! Data Integration via Jedis (slides), looking at how the open source Jedis library provides a small, sane, easy to use Java interface to Redis, and how a StreamSets Data Collector (SDC) pipeline can read data from a platform such as Salesforce, write it to Redis via Jedis, and keep Redis up-to-date by subscribing for notifications of changes in Salesforce, writing new and updated data to Redis. In this blog entry, I'll describe how I built the SDC pipeline I showed during my session.
Last December, I covered Continuous Data Integration with StreamSets Data Collector and Spark Streaming on Databricks. In StreamSets Data Collector (SDC) version 2.5.0.0 we added the Spark Executor, allowing your pipelines to trigger a Spark application, running on Apache YARN or Databricks. I'm going to cover the latter in this blog post, showing you how to trigger a notebook job on Databricks from events in a pipeline, generating analyses and visualizations on demand.
Hi, my name is Wagner Camarao and I'm a Software Engineer at StreamSets focusing on the user-facing aspects of our products. Today I'm going to talk about a new feature in the StreamSets Data Collector to optimize the interactions with our support team.
In version 2.6.0.0 of Data Collector, we’ve added a feature called Support Bundle. It allows you to generate an archive file with the most common information required to troubleshoot various issues with Data Collector, such as precise build information, configuration, thread dump, pipeline definitions and history files, and most recent log files.
We are excited to announce version 2.6 of StreamSets Data Collector. This release has important functionality focused on helping customers to modernize their enterprise data warehouses on Hadoop, CyberSecurity, IoT and Spark.
You can download the latest open source release here.
This release has 6 new features, 20 improvements and 72 bug fixes. For a full list, see What's New. For a list of bug fixes and known issues, see the Release Notes.
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