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Data lakes enable organizations to consistently deliver value and insight through secure and timely access to a wide variety of data sources. The first step on that journey is to orchestrate and automate ingestion with robust data pipelines. As data volume, variety, and velocity rapidly increase, there is a greater need for reliable and secure...

Azure Databricks is a Unified Data Analytics Platform that is a part of the Microsoft Azure Cloud. Built upon the foundations of Delta Lake, MLFlow , Koalas and Apache Spark, Azure Databricks is a first party service on Microsoft Azure cloud that provides one-click setup, native integrations with other Azure services, interactive workspace, and enterprise-grade...

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...

Today, Databricks announced that it is launching a new partnership with MathWorks, the leading developer of mathematical computing software, MATLAB, and Simulink products that 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...

This is a guest blog from Ryan Fox Squire | Product & Data Science at SafeGraph At SafeGraph we are big fans of Databricks. We use Databricks every day for ad hoc analysis, prototyping, and many of our production pipelines. SafeGraph is a data company - we sell accurate and reliable data so our customers...

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...