Introducing Databricks on Google Cloud – Now in Public Preview
Last month, we announced Databricks on Google Cloud, a jointly-developed service that allows data teams (data engineering, data science, analytics, and ML professionals) to store data in a simple, open lakehouse platform for all data, AI and analytics workloads. Today, we are launching the public preview of Databricks on Google Cloud. When speaking to our...
Announcing the Launch of Databricks on Google Cloud
Today, we are proud to announce the availability of Databricks on Google Cloud. This jointly developed service provides a simple, open lakehouse platform for data engineering, data science, analytics, and machine learning. It brings together the Databricks capabilities customers love with the data analytics solutions and global scale available from Google Cloud. Open data platform...
New Data Ingestion Network for Databricks: The Partner Ecosystem for Applications, Database, and Big Data Integrations into Delta Lake
Organizations have a wealth of information siloed in various sources, and pulling this data together for BI, reporting and machine learning applications is one of the biggest obstacles to realizing business value from data. The data sources vary from operational databases such as Oracle, MySQL, etc. to SaaS applications like Salesforce, Marketo, etc. Ingesting all...
Actionable Insight for Engineers and Scientists at Big Data Scale with Databricks and MathWorks
Today, Databricks announced that it is launching a new partnership with MathWorks, whose MATLAB and Simulink product families are used by engineers and scientists globally. From medical devices to jets and autonomous cars, millions of engineers and scientists use MATLAB and Simulink to build and test autonomous systems using simulation models that interact with physical...
End-to-end Data Governance with Databricks and Immuta
Businesses are consuming data at a staggering rate but when it comes to getting insights from this data they grapple with secure data access and data sharing, and ensure compliance. With new customer data privacy regulations like GDPR and the upcoming CCPA, the leash on data security policies is getting tighter, slowing down analytics and...
Databricks and Informatica Integration Simplifies Data Lineage and Governance for Cloud Analytics
In a rapidly evolving world of big data, data discovery, governance and data lineage is an essential aspect of data management. As organizations modernize their workloads into multi-cloud and hybrid environments, data starts to get distributed across cloud data lakes and SaaS applications. With that, organizations are trying to answer key questions: How do I...
How Databricks and Privacera Combine to Secure Data for Cloud Analytics
In their quest to anticipate customer needs, forward looking organizations are looking to use cloud-based analytics and AI to innovate. But we often hear from customers how challenging it is to manipulate large data volumes in a secure and compliant way. Databricks and Privacera have partnered to help customers address several key use cases for...
Automate and Fast-track Data Lake and Cloud ETL with Databricks and StreamSets
Data lake ingestion is a critical component of a modern data infrastructure. But enterprises often run into challenges when they have to use this data for analytics and machine learning workloads. Consolidating high volumes of data from disparate sources into a data lake is difficult, even more so if it is from both batch and...
How Informatica Data Engineering Goes Hadoop-less with Databricks
Back in May, we announced our partnership with Informatica to build out a rich set of integrations between our two platforms. It’s been exciting work for the team because of what we can do for joint customers that combine our Managed Delta Lake with Informatica’s Big Data Management and Enterprise Data Catalog. The vision led...
