Databricks stories

"This marks a thrilling new chapter that will allow us to accelerate our pace of innovation and further invest in the success of data-driven organisations on their journey to the lakehouse.”>>

Databricks has announced the latest generation of its machine learning offering, with the launch of Databricks Machine Learning.>>

Qlik has expanded its strategic partnership with Databricks with support for the launch of Delta Sharing, in order to expand joint customer ability.>>

WANdisco, a LiveData company, has announced its LiveData Migrator platform can now automate the migration of Apache Hive metadata directly into Databricks, enabling users to quickly enable new AI and machine learning capabilities.>>

As an implementation partner, Versor will operate as an extension of Databricks’ consulting and professional services team to help customers throughout Australia.>>

“This is a pivotal milestone that underscores our commitment to enable customer flexibility and choice with a seamless experience across cloud platforms.">>

Under the partnership, organisations can now use Databricks to create a lakehouse capable of data engineering, data science, machine learning, and analytics on Google Cloud’s global, scalable, and elastic network. >>

Databricks has launched SQL Analytics, which enables cloud data warehousing on data lakes and offers improved price and performance over traditional cloud data warehouses.>>

“Talend provides both a powerful integration platform for data engineers and a simple-to-use data ingestion tool for business analysts.">>

Databricks has released new features for its platform for greater security, proactive administration and automation across the data and machine learning lifecycle.>>

The integrations and new offerings are from featured technology partners including Alibaba, Alteryx, Databricks, DataRobot and others.>>

Databricks announced the opening of new offices in Sydney, Tokyo and Bangalore.>>

The strategic partnership combines unified analytics and data management in the cloud.>>

“With Azure Databricks, we are able to process 25,000 homes – 10 billion records – in 14 minutes.”>>