JetBrains Big Data Tools

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

[JCP @jcp_org]

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! https://t.co/F6S6nsyAqm #JCPEC #JCPECElection #JCPAward #JSRupdate #JavaInEducation #JavaEcosystem #25YearsOfJCP

[JetBrains Big Data Tools @BigDataTools]

@TedLasso @asm0di0 Even us will miss you, coach! Well, eventually all the sports are about data, right?

[JetBrains DataSpell @dataspell_jb]

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 https://t.co/oN6lV0asgR

[JetBrains Big Data Tools @BigDataTools]

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👉
https://t.co/stc5AGxNRW

[JetBrains Big Data Tools @BigDataTools]

@aa_parent Aaaand fixed, thank you very much for your attention!

[JetBrains Big Data Tools @BigDataTools]

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!

https://t.co/3fh028Tht7

[JetBrains Big Data Tools @BigDataTools]

@aa_parent Thank you very much, will fix it!

[Trisha Gee @trisha_gee]

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
https://t.co/kDjCLa3pQo

[JetBrains Big Data Tools @BigDataTools]

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!

https://t.co/OdvpeqIvio

[JetBrains Big Data Tools @BigDataTools]

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 ❌✨
https://t.co/ZiBoQMOs4E

[JetBrains Big Data Tools @BigDataTools]

@YashaFromRussia Do not hesitate to add more! The voice of customers is very important for us!

[JetBrains Big Data Tools @BigDataTools]

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 👉

https://t.co/Fj6z56cEAT

[JetBrains Big Data Tools @BigDataTools]

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!
https://t.co/1zGzAjdya1

[JetBrains Big Data Tools @BigDataTools]

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:

https://t.co/uzYXW53WYl

[lakeFS @lakeFS]

What’s the state of #dataengineering tools in 2022?

Let’s explore! 🧵

[JetBrains Big Data Tools @BigDataTools]

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 👇
https://t.co/AdkmgFOPIQ

[JetBrains Big Data Tools @BigDataTools]

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!

[JetBrains Big Data Tools @BigDataTools]

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 👇🏼
https://t.co/1nhMEFsWia

[JetBrains Big Data Tools @BigDataTools]

In case if you missed the latest Data Engineering Annotated (there were technical reasons to do so), here is it!

https://t.co/cLu21fXwxR