The blog you are trying to access is permanently deleted.
Dive into a collaborative space where members like YOU can exchange knowledge, tips, and best practi...
Expert-produced videos to help you leverage Databricks in your analytics and machine learning projec...
Databricks Ventures Launches New Fund to Extend our Ecosystem Leadership We launched Databricks Ventures in December 2021 as our strategic investment arm for funding innovative startups across the data, analytics and AI landscape — companies that sha...
Out-of-the-box, self-tuning data layout that scales with your data We’re excited to announce the General Availability of Delta Lake Liquid Clustering in the Databricks Data Intelligence Platform. Liquid Clustering is an innovative data management tec...
I just wanted to share a tool I built called spark-column-analyzer. It's a Python package that helps you dig into your Spark DataFrames with ease.Ever spend ages figuring out what's going on in your columns? Like, how many null values are there, or h...
An example added to README in GitHubDoing analysis for column PostcodeJson formatted output{"Postcode": {"exists": true,"num_rows": 93348,"data_type": "string","null_count": 21921,"null_percentage": 23.48,"distinct_count": 38726,"distinct_percentage"...
I have a notebook with a text widget where I want to be able to edit the value of the widget within the notebook and then reference it in SQL code. For example, assuming there is a text widget named Var1 that has input value "Hello", I would want to ...
Hi @DavidOBrien, how are you? You can try the following approach: # Get the current value of the widget current_value = dbutils.widgets.get("widget_name") # Append the new value to the current value new_value = current_value + "appended_value" # Se...
You can now add the WITH SCHEMA EVOLUTION clause to a SQL merge statement to enable schema evolution for the operation. For more information: https://docs.databricks.com/en/delta/update-schema.html#sql-evo #Databricks
In Spark 4.0, there are no more data type mismatches when converting dynamic JSONs, as the new data type VariantType comes with a new function to parse JSONs. Stay tuned for 4.0 release.
You can now enable type widening on tables backed by Delta Lake. Tables with type widening enabled allow changing the type of columns to a wider data type without rewriting underlying data files. For more information:https://docs.databricks.co...
We are excited to introduce Databricks Assistant Autocomplete now in Public Preview. This feature brings the AI-powered assistant to you in real-time, providing personalized code suggestions as you type. Directly integrated into the notebook and SQL ...
Great features, help to write code much faster
TetraScience and Databricks Join Forces To Transform Scientific Research, Development, Manufacturing, and Quality Control in Life Sciences BOSTON & SAN FRANCISCO, May 20th, 2024 - TetraScience and Databricks today announced a strategic partnership de...
The ability for organizations to adopt machine learning, AI, and large language models (LLMs) has accelerated in recent years thanks to the popularization of model zoos – public repositories like Hugging Face and TensorFlow Hub that are populated wit...
Building a Forecasting Model on Databricks: A Step-by-Step Guide This guide offers a detailed, step-by-step approach for building a forecasting model on Databricks. By leveraging the power of Databricks, you will unlock new potentials in your data w...
On May 18th a new SSO user experience will launch in Customer and Partner Academy. In order to secure your account, please see the instructions below on how to update and verify that your data is correct and complete. Please ensure that you have two ...
I'm a consultant. I work with multiple companies, but I don't have a main one. I'm not comfortable setting any of my emails in clients' domains on my profile. Is it OK for me to keep using my personal one?
We recently introduced DBRX: an open, state-of-the-art, general-purpose LLM. DBRX was trained, fine-tuned, and evaluated using Mosaic AI Training, scaling training to 3072 NVIDIA H100s and processing more than 12 trillion tokens in the process. Train...
In the realm of AI, achieving accuracy is paramount. The publication delves into techniques for refining models to ensure they reliably deliver precise outcomes in real-world scenarios. It covers methodologies such as continuous monitoring, data augm...
Getting Started with Databricks - From Ingest to Analytics & BIIntroduction to DatabricksAnalytics & BI on DatabricksIngest Setup Steps [20 minutes]Step 0: Check your required prerequisitesStep 1: Access and start your warehouseStep 2: Connect your w...