JetBrains DataSpell EAP Now Open to All
We are thrilled to announce that we're opening the EAP to the public. You can download EAP builds from JetBrains DataSpell’s website without registration. Read to learn more.
Live Stream: From Jupyter Notebooks to JetBrains DataSpell
Join us Tuesday, August 17, 6 pm – 7 pm (CEST) / 12 am – 1 pm (EDT), for our live webinar “From Jupyter Notebooks to JetBrains DataSpell”. In this webinar, Andrey Cheptsov, Product Manager for PyCharm and DataSpell, will preview JetBrains DataSpell – a brand new IDE for data scientists. Over the last few years, PyCharm users have often requested better support for Jupyter notebooks. So a ye
Announcing the EAP for JetBrains DataSpell, Our New Data Science IDE
With the emergence of Python as the go-to language for data science, it was only natural for JetBrains’ PyCharm to be eventually equipped with data science features. Based on the feedback that our team received over the past year, we have been working to significantly improve PyCharm’s support for data science. During this process, it became evident that data scientists and software developers hav
Big Data Tools EAP 9: Hadoop, Azure, S3 Compatible Storages, ORC, Avro, and More
We’re thrilled to announce a new update, which is perhaps one of the biggest since the plugin was first released last year.
Big Data Tools EAP Is Now Also Available for DataGrip and PyCharm
At the end of last year, we announced a preview of the IntelliJ IDEA Ultimate plugin that integrated Apache Zeppelin notebooks into the IDE. At the same time we shared our roadmap, in which we promised to support more tools for working with Big Data. Since then, the plugin team has been working hard and has extended the plugin with support for Apache Spark, Apache Hadoop's HDFS, AWS S3, Google Clo
Big Data Tools EAP 7: Bugfixes and Improvements
Great news for those who use our Big Data Tools plugin! We've just released a new update. In this new version we add a number of important bugfixes and improvements. We've added the support for the SOCKS proxy. Now you can configure it for your Zeppelin and Spark Monitoring connections: (more…)
Big Data Tools EAP 6: Google Cloud Storage, Proxy, Kerberos, and Parquet Improvements
It’s been a while since our last update, but today we’re excited to give you a new EAP build. Originally we planned to exclusively work on bug fixes and stability improvements in this build. However, we couldn’t resist and added a completely new feature that has been on our roadmap for some time – integration with Google Cloud Storage. Using the Google Cloud Storage integration is similar to worki
Update on Big Data Tools Plugin: Spark, HDFS, Parquet and More
It’s been a while since our last update. If you remember, last year, we announced IntelliJ IDEA’s integration with Apache Zeppelin, S3, and its experimental integration with Apache Spark. The latter integration was released as an experimental feature and was only available in the unstable update channel. But we have great news. Today we’re releasing a new version of the plugin that finally makes S
Update on R Language Support in IntelliJ-based IDEs
Since its first days as a company, JetBrains has relentlessly worked to make professional software development a more productive and enjoyable experience. This mission started 20 years ago with a single tool that helped refactor Java code and which later became a full-fledged IDE. Today JetBrains offers a dozen IDEs that replicate the enjoyable experience of developing with IntelliJ across multipl
Making Kotlin Ready for Data Science
This year at KotlinConf 2019, Roman Belov gave an overview on Kotlin's approach to data science. Now that the talk is available for everyone to see, we decided to recap it and share a bit more on the current state of Kotlin tools and libraries for data science. How does Kotlin fit data science? Following the need to analyze large amounts of data, the last few years has brought a true renaissance
Big Data Tools: Experimental Spark Integration, Slack Community, and Feedback
Yesterday we’ve released a fresh update of the Big Data Tools plugin in which we’ve added the integration with AWS S3. With this update, you'll be able to browse and manage files in your S3 buckets right from the IDE. In yesterday’s announcement we mentioned that there is also another update to the Super-Early-Bird channel. What is this channel? A way the IntelliJ Platform offers to deliver unstab
Big Data Tools EAP 4: AWS S3 File Explorer, Bugfixes, and More
The holidays came early this year! Now, when I’ve actually looked at the calendar, I think it’s exactly on time. Whatever the case, we have some presents for you! Just today we’ve released a new update to our Big Data Tools plugin! We hope the update will make your workflow of working with Big Data a bit nicer and more convenient. The major new feature of this update is the integration of AWS S3.