The latest updates on all JetBrains products and topics
While many software developers would prefer to sell software as a service (SaaS), there’s a market for offering your customers a self-hosted solution tailored to their infrastructure choices. Of course, one essential element of any modern software solution is the database, but in 2022 there are hund…
Learn how to connect your Jupyter Notebook to Google BigQuery in Datalore and try SSH tunneling to connect to remote databases!
On Thursday, 28th July 2022, I gave a webinar about tips for combining Python and SQL in Datalore, our collaborative data science and data analytics platform. Here’s the recording for you to watch if you missed the live stream.
Easy access to relevant, safe data is a major bottleneck hindering developers and data scientists. But what if you could generate your own accurate, privacy-protected, shareable data? Synthetic data can provide an inexpensive alternative to real sets of data that can’t be used due to its se…
The recording for our webinar, Working with SQL and databases in Rider with DataGrip team lead Maksim Sobolevskiy, is now available. Subscribe to our community newsletter to receive notifications about future webinars. https://www.youtube.com/embed/iNWWWj8dCfM Working with SQL and databases in R…
Today we are happy to introduce the docker-based installation for Datalore Enterprise and a bunch of other ways to streamline your data science team work. Read on for the highlights of the release!
In this blog post we’ll share a few updates to database support and SQL cells, announce the first Datalore webinar, and tell you how Datalore has become even more collaborative.
In the past few months, we’ve been working hard on improving the data exploration and collaboration workflows in Datalore. In this blog post, we’ll give you an overview of what’s new!
Check out the newest data exploration features and enjoy the upgraded interactive reporting experience in Datalore Enterprise 2022.1.
Learn two easy ways to use Python and SQL from the Jupyter notebooks interface and create SQL queries with a few lines of code.
What are the most common ways to query SQL databases from a Python notebook? They might include using Python SQL libraries such as PySQL or SQLAlchemy... We can now suggest a more effective method: combine native SQL cells and Python code in Datalore notebooks.
Greetings from the Datalore team! Exciting news for those of you who love more than just Python: Datalore now also supports R and Scala notebooks! Read on to learn more about the updates. R and Scala support Although Python is the most popular language in data science, R and Scala also do …
