We're just getting started -- and #Lakehouse has already transformed how enterprises leverage data + AI across industries. Our $1.6B funding round furthers the innovation & adoption of the Databricks Lakehouse Platform. Learn more ⬇️ https://t.co/89YAqYBkw5
So proud and honoured to be a part of this! Find out why @databricks has the buy-in of "the cloud’s business elite" at a $28B valuation. Read via @forbes https://t.co/tIARi6vuND
Moving to a unified #data & analytics platform can save you 💰 immediately! This is a must see event regardless of where you are in your Hadoop migration journey to the cloud.. https://t.co/cumWTs8KP8
#SparkAISummit Europe is now #DataAISummit Europe! Learn why the new name, and submit your talk for this premier industry conference in November. Call-for-presentations ends September 13! https://t.co/7RozqoIkMu
Building and Operationalizing ML models is not typically easy -- though with #AzureDatabricks, check out this hands-on blog post that will help you see how easy it is to build up to 100 ML models in as little as 12 weeks. https://t.co/ULR2s9m1Km
The Lakehouse pattern is emerging as the successor to the data warehouse and data lake - get the best of both worlds!
Looking forward to this 2-part series where you’ll learn why #DeltaLake is driving adoption of this new approach. https://t.co/LpU7Ihz5T0
Concerned about preventing data exfiltration? Learn how to harden your #AzureDatabricks deployment from a network security perspective. https://t.co/BoblEgw8rW
Working with different time zones and calendars? In this technical blog post, we take a deep dive into the Date and Timestamp types to help you fully understand their behavior — and avoid common pitfalls. https://t.co/Ve0j9pHbH5
.@Databricks Runtime 7.1 now supports #BigQuery for analyzing data stored on the @GCPcloud.
Learn how to supercharge the productivity of your #datateams with Runtime 7.1. https://t.co/Gnqv6PYU3v
The release of %pip and %conda notebook magic commands significantly simplifies python environment management in Databricks Runtime for #MachineLearning, allowing you more time to spend solving business problems. https://t.co/poZNyQl2mb
In one of our @Databricks' latest blog posts, learn how to build a Quality of Service (QoS) analytics solution for streaming video services. https://t.co/gG07OMdSPR
Looking to make a real business impact? Companies using Databricks realized over $28M in total benefits and ROI of 417% according to new Forrester TEI study, commissioned by @Databricks. Worth a look.. https://t.co/EbUivdbbNp
Behind every great #datateam is @Databricks. We help data teams solve the world’s toughest problems. Proud to be part of the journey! https://t.co/Wb5zr1B0CR
Introducing @Databricks Ingest: Easy and efficient data ingestion into #DeltaLake from cloud storage. Easily ingest data with exactly-once semantics. https://t.co/CsFeBW08Nu
We just signed the lease to open our Databricks engineering office in Toronto on Jan 1st -- our third site overall! We're hiring backend engineers and engineering managers there: https://t.co/1mqCeVKVh4. Excited to join the growing Toronto tech and AI scene.
MLflow 1.4 was just released, including a beta of the MLflow Model Registry and improved support for autologging in tf.keras and #TensorFlow 2.0! Just in time for #TensorFlowWorld. Full details here: https://t.co/bjIOQ3nOZQ
[BLOG] We’ve partnered with @Informatica because we understand the value of analytics and machine learning to an organization's success. Read on more for information about our new partnership! https://t.co/kZDwFK5XNK #UnifiedAnalytics#INFA19