Databricks, the lakehouse company, announced the launch of Databricks Model Serving to provide simplified production machine learning (ML) natively within the Databricks Lakehouse Platform. Model Serving removes the complexity of building and maintaining complicated infrastructure for intelligent applications. Now, organizations can leverage the Databricks Lakehouse Platform to integrate real-time machine learning systems across their business, from personalized recommendations to customer service chatbots, without the need to configure and manage the underlying infrastructure.
Databricks Launches Simplified Real-Time Machine Learning for the Lakehouse
March 7, 2023 by Leave a Comment
Video Highlights: Modernize your IBM Mainframe & Netezza With Databricks Lakehouse
November 3, 2022 by Leave a Comment
In the video presentation below, learn from experts how to architect modern data pipelines to consolidate data from multiple IBM data sources into Databricks Lakehouse, using the state-of-the-art replication technique—Change Data Capture (CDC).
CIOs Say Data Management is Critical for Successful AI Adoption in New Global Research Report
September 23, 2022 by Leave a Comment
A new survey report by MIT Technology Review Insights highlights AI and data management as essential pillars to enterprise success, but found that the majority of survey respondents cited data mismanagement as a critical factor that could jeopardize their company’s future AI success. The report, “CIO vision 2025: Bridging the gap between BI and AI,” was conducted in May and June 2022 in association with Databricks, pioneer of the lakehouse architecture.
Databricks Announces Major Contributions to Flagship Open Source Projects
July 2, 2022 by Leave a Comment
Databricks announced that the company will contribute all features and enhancements it has made to Delta Lake to the Linux Foundation and open source all Delta Lake APIs as part of the Delta Lake 2.0 release. In addition, the company announced MLflow 2.0, which includes MLflow Pipelines, a new feature to accelerate and simplify ML model deployments. Finally, the company introduced Spark Connect, to enable the use of Spark on virtually any device, and Project Lightspeed, a next generation Spark Structured Streaming engine for data streaming on the lakehouse.
Databricks Announces General Availability of Delta Live Tables
April 6, 2022 by Leave a Comment
Databricks, the Data and AI company and pioneer of the data lakehouse paradigm, announced the general availability of Delta Live Tables (DLT), the first ETL framework to use a simple declarative approach to build reliable data pipelines and to automatically manage data infrastructure at scale. Turning SQL queries into production ETL pipelines often requires a lot of tedious, complicated operational work. By using modern software engineering practices to automate the most time consuming parts of data engineering, data engineers and analysts can concentrate on delivering data rather than on operating and maintaining pipelines.
Databricks Launches Data Lakehouse for Retail and Consumer Goods Customers
January 17, 2022 by Leave a Comment
Databricks, the Data and AI company and pioneer of the data lakehouse architecture, announced the Databricks Lakehouse for Retail, the company’s first industry-specific data lakehouse for retailers and consumer goods (CG) customers. With Databricks’ Lakehouse for Retail, data teams are enabled with a centralized data and AI platform that is tailored to help solve the most critical data challenges that retailers, partners, and their suppliers are facing.
How ML Powers Data Access Governance with Immuta & Databricks
January 28, 2021 by Leave a Comment
If data isn’t accessible for real-time analytics, is it still valuable? Immuta’s native Databricks integration avoids this dilemma by using ML to streamline data access governance, and deliver analytics-ready data quickly and securely. For Databricks users leveraging Immuta, ML drives sensitive data discovery, dynamic access control, and consistent policy enforcement.
Databricks Launches SQL Analytics to Enable Cloud Data Warehousing on Data Lakes
November 14, 2020 by Leave a Comment
Databricks, the data and AI company, announced the launch of SQL Analytics, which for the first time enables data analysts to perform workloads previously meant only for a data warehouse on a data lake. This expands the traditional scope of the data lake from data science and machine learning to include all data workloads including Business Intelligence (BI) and SQL.
StreamSets Launches StreamSets Transformer
September 15, 2019 by Leave a Comment
StreamSets, Inc., provider of the DataOps platform for modern data integration, released StreamSets® Transformer, a simple-to-use, drag-and-drop UI tool to create native Apache Spark applications. Designed for a wide range of users — even those without specialized skills — StreamSets Transformer enables the creation of pipelines for performing ETL, stream processing and machine-learning operations. Now, data engineers, scientists, architects and operators gain deep visibility into the execution of Apache Spark while broadening usage across the business.
Addressing Governmental Challenges when Engaging AI, ML and Data Analytics
June 19, 2019 by 1 Comment
Gartner recently stated that all industries and levels of government agree the top three game-changing technologies today are AI/machine learning, data analytics/predictive analytics and cloud technologies. However, there are some primary sticking points when it comes to innovation in these areas. Government organizations continue to encounter challenges when trying to pursue these initiatives due to complex security and compliance requirements, poor scalability of legacy IT infrastructure, and perceived risks associated with cloud and IT modernization efforts. How can these challenges be addressed?
