Reynold Xin

Databricks Introduces Delta Engine and Acquires Redash to Bring Performance and Ease-of-Use to Cloud Data Lakes

Retrieved on: 
Wednesday, June 24, 2020

Delta Engine is a high-performance query engine on cloud data lakes and Redash is an open source dashboarding and visualization service for data scientists and analysts to do data exploration.

Key Points: 
  • Delta Engine is a high-performance query engine on cloud data lakes and Redash is an open source dashboarding and visualization service for data scientists and analysts to do data exploration.
  • Delta Engine is tailored for use with Delta Lake, the popular open-source structured transaction layer that brings quality and reliability to data lakes.
  • Databricks acquired Redash, the company behind the successful Redash open source project, to provide easy-to-use dashboarding and visualization capabilities on these curated data lakes.
  • Databricks' new Delta Engine for Delta Lake enables fast query execution for data analytics and data science, without moving the data out of the data lake.

WANdisco LiveMigrator: The Only Viable Solution for At-scale, Active Hadoop and Analytics Migration to the Cloud

Retrieved on: 
Tuesday, October 15, 2019

In a petabyte example, LiveMigrator would make data available after three minutes vs. 85 days for BDR.

Key Points: 
  • In a petabyte example, LiveMigrator would make data available after three minutes vs. 85 days for BDR.
  • With WANdiscos LiveAnalytics solution with Databricks, which migrates Hadoop analytics data into Databricks on the Azure and AWS cloud, data was made available for use in Delta Lake after three minutes.
  • LiveMigrator works in tandem with the recently launched LiveAnalytics , which offers continuous data analytics in a Databricks/Spark environment during cloud migration.
  • It provides enterprises with uninterrupted business intelligence insights as they move data from on-premises Hadoop to cloud-based Spark-based analytics.

Databricks Awards Prominence Advisors for the Best Healthcare and Life Sciences Solution at the 2019 San Francisco Spark + AI Summit

Retrieved on: 
Tuesday, June 11, 2019

CHICAGO, June 11, 2019 /PRNewswire/ --Prominence Advisors is excited to announce that Databricks has awarded the company for the best Healthcare and Life Sciences solution at the 2019 San Francisco Spark + AI Summit, the world's largest Spark big data and machine learning event.

Key Points: 
  • CHICAGO, June 11, 2019 /PRNewswire/ --Prominence Advisors is excited to announce that Databricks has awarded the company for the best Healthcare and Life Sciences solution at the 2019 San Francisco Spark + AI Summit, the world's largest Spark big data and machine learning event.
  • "We are excited to be honored for our team's work on our Sepsis machine-learning solution built on the Databricks platform," Bobby Bacci, Prominence CEO and Founder, said.
  • "We awarded Prominence the 2019 Best Healthcare and Life Sciences solution award to recognize the company's commitment to innovation using Databricks.
  • Databricks is a unified analytics platform for data science and engineering developed by the creators of Apache Spark.

Databricks and Informatica Partner to Accelerate Development of Intelligent Data Pipelines

Retrieved on: 
Tuesday, May 21, 2019

Databricks , the leader in unified analytics and founded by the original creators of Apache Spark, and Informatica , the enterprise cloud data management leader, announced a partnership to accelerate the development of intelligent data pipelines.

Key Points: 
  • Databricks , the leader in unified analytics and founded by the original creators of Apache Spark, and Informatica , the enterprise cloud data management leader, announced a partnership to accelerate the development of intelligent data pipelines.
  • The Informatica and Databricks partnership introduces product integrations that allow faster development and complete governance for data engineering workloads:
    Informaticas Cloud Data Integration and Databricks Unified Analytics Platform enable data teams to quickly ingest data directly into a managed data lake from hundreds of hybrid data sources.
  • Informaticas Big Data Management with Databricks Unified Analytics Platform allows data teams to easily create performant, scalable data pipelines for big data.
  • Informaticas Enterprise Data Catalog provides support for tracking data lineage of pipelines with Databricks Unified Analytics Platform, and makes Databricks tables available as part of the data catalog.

Databricks Appoints Public Sector Leader to Meet Demand for Unified Analytics

Retrieved on: 
Wednesday, February 20, 2019

Databricks , the leader in Unified Analytics and founded by the original creators of Apache Spark, today announced the key addition of Kevin Davis as vice president of Public Sector to meet the demand for Databricks Unified Analytics Platform.

Key Points: 
  • Databricks , the leader in Unified Analytics and founded by the original creators of Apache Spark, today announced the key addition of Kevin Davis as vice president of Public Sector to meet the demand for Databricks Unified Analytics Platform.
  • View the full release here: https://www.businesswire.com/news/home/20190220005224/en/
    Kevin Davis, vice president of Public Sector at Databricks (Photo: Business Wire)
    In his new role, Davis will be responsible for further expanding strategic alliances and scaling the companys customer base within the public sector.
  • Big data analytics is quickly impacting the sector - it is key to improving public services and cybersecurity measures, said Ali Ghodsi, co-founder and CEO of Databricks.
  • A key component in Databricks Unified Analytics Platform, Databricks Delta , enables organizations and agencies to blend real-time streaming and batch data reliably and at massive scale.