JetBrains Big Data Tools
@BigDataTools
Big Data Tools is a new plugin for @IntelliJIDEA that offers intelligent coding assistance for Zeppelin notebooks, integrated Spark and other tools for Big Data
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So excited to announce #JCPNewsLetter is returning! Here's the summer 2024 edition. Read about what is going on with the #JCP and #Java community! ow.ly/1xgM50TmiYN #JCPEC #JCPECElection #JCPAward #JSRupdate #JavaInEducation #JavaEcosystem #25YearsOfJCP
Meet JetBrains at @PyConDE in Berlin! Members of the DataSpell, @pycharm, @datalore and @BigDataTools teams will be available April 17-19 at booth 21. Please drop by and say hello. #PyConDE #PyDataBerlin 2023.pycon.de
Big Data Tools 2022.3 is now available with: ✅ AWS Glue Data Catalog support ☁️ Integration with Tencent Cloud Object Storage ✨Enhanced @ApacheZeppelin notebooks support Learn more and download👉 jb.gg/big-data-tools…
The latest installment of Data Engineering Annotated is here with updates on: ⌚ Graph extension to Postgres 🪶 MPP from Apache 👁 C++ replacement for Apache Cassandra ...and many other topics. Check it out! jb.gg/4smdxu
Good news everyone! @HelenJoScott and I have finally finished our book! For all you @intellijidea fans, we proudly present Getting To Know IntelliJ IDEA. The first 30 people to buy the book get a 50% discount #g2kij leanpub.com/gettingtoknowI…
Hi everyone! Please help us in our research into @ApacheSpark usage patterns. Participate for a chance to win a one-year All Products Pack license! surveys.jetbrains.com/s3/t1-spark-us…
In this edition of Data Engineering Annotated, we discuss LinkedIn's newly released versions of products useful for data engineers, including: 🌉 Brooklin 🗄️ Ambry 🫦 DuaLip Also, a potentially breaking change in Apache Spark ❌✨ jb.gg/ivpd96
Big Data Tools 1.6 is here! 🙌 The highlights of this release include integration with Hive Metastore and the ability to monitor Flink jobs right inside your IDE. Read the blog post to learn more about the most notable updates in this release 👉 jb.gg/bdt-1-6
In this installment of Data Engineering Annotated: 🌺The resurrection of Ambari 🪩Impressions of ShardingSphere 🍀Improvements for Druid 📨Scaling streams from InLong You’ll also find proposals and a report on the data engineering landscape by @lakeFS! jb.gg/j2aaxw
Support for Hive Metastore will soon be coming to the Big Data Tools plugin. On the threshold of this event, let's take a moment to review what Hive Metastore is and why we need it: jb.gg/8bbwey
Hello, fellow data engineers! It’s time for the new issue of Data Engineering Annotated, starring: 🪨 RocksDB 🪶 Feathr ✍️ Kafka ✨ Spark and 🪵 replicated logs! Check it out 👇 jb.gg/jcw2x6
Did it happen to you that you found yourself digging inside Spark sources and output of "show" on @ApacheSpark dataframes? No more need for it if you use @ApacheZeppelin and the Big Dat Tools plugin! #ztools to the rescue!
Streaming support was one of the most popular requests for us to implement in the @kotlin API for @ApacheSpark . So we’ve added it in, as well as several other exciting features! Find out more 👇🏼 jb.gg/dtg2ba
In case if you missed the latest Data Engineering Annotated (there were technical reasons to do so), here is it! jb.gg/zn4sh5
.@awscloud EMR is very powerful. It provides us with many tools. But sometimes, it can be challenging to access certain services – for example, Zeppelin or Ganglia. To do this, you need to build an SSH tunnel to each one… Big Data Tools plugin solves this issue!
The Big Data Tools 1.6 EAP is now available! Try it out by installing the latest plugin version on the 2022.2 EAP version of your IDE. Learn more: jb.gg/bdt-eap
The next big thing is coming to Kafka! ZooKeeper-less setups are already possible, now secure ZooKeeper-less setups!
With the introduction of a KRaft-based authorizer, it's easy to run secure Kafka clusters without ZooKeeper in Apache Kafka 3.2. And a KIP for marking KRaft as production ready has been posted for discussion: cwiki.apache.org/confluence/dis…
Do you have a lot of topics in your @apachekafka? We too! So now there is a way to quickly filter topics in #kafka producers/consumers!
There are plenty of connection properties in @apachekafka and sometimes it's not that easy to memorize them all. That's why we have properties autocompletion in the Connection Settings dialog for Kafka.
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