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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 was proud to be a Platinum sponsor at re:Invent. The past year has been an exciting one for our partnership with AWS, as we built new integrations and deepened existing ones with so many AWS services. re:Invent was a great opportunity to showcase how our joint customers have benefitted from those integrations and we...

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...

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...

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...

This is a guest blog from Paul Scott-Murphy, VP of Product Management, Big Data / Cloud at WANdisco. Migrating from Hadoop on-premises to the cloud has been a common theme in recent Databricks blog posts and conference sessions. They’ve identified key considerations, highlighted partnerships and described solutions for moving and streaming data to the cloud...

Azure Databricks brings together the best of the Apache Spark, Delta Lake, an Azure cloud. The close partnership provides integrations with Azure services, including Azure’s cloud-based role-based access control, Azure Active Directory(AAD), and Azure’s cloud storage Azure Data Lake Storage (ADLS). Even with these close integrations, data access control continues to prove a challenge for...

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...

This is a guest blog from Adam Barnhard, Head of Data at Brandless, Inc., and Bing  Liang, Data Scientist at Brandless, Inc. Launched in July 2017, Brandless makes hundreds of high-quality items, curated for every member of your family and room of your home, and all sold at more accessible price points than similar products on the market. We...

On July 18th, we hosted a live webinar —Using ML and Azure to improve customer lifetime value - with Rob Saker, Industry Leader - Retail Industry, Colby Ford,  Associate Faulty - School of Data Science, UNC Charlotte and Navin Albert,  Solutions Marketing Manager at Databricks. This blog has a recording of the webinar and some of...