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The 3Ds of Migrating Teradata Workloads to the Databricks Lakehouse Platform

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Many large enterprises have used Teradata data warehouses for years, but the storage and processing costs of on-premises infrastructure severely restricted who could...

Data Vault Best practice & Implementation on the Lakehouse

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In the previous article Prescriptive Guidance for Implementing a Data Vault Model on the Databricks Lakehouse Platform, we explained core concepts of data...

Announcing Ray support on Databricks and Apache Spark Clusters

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Ray is a prominent compute framework for running scalable AI and Python workloads, offering a variety of distributed machine learning tools, large-scale hyperparameter...

Cybersecurity in Manufacturing

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In a recent Manufacturing survey by Omdia, sponsored by Databricks [1], one of the questions asked was "what are the challenges slowing and...

Scalable Spark Structured Streaming for REST API Destinations

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Spark Structured Streaming is the widely-used open source engine at the foundation of data streaming on the Databricks Lakehouse Platform. It can elegantly...

Implementing Disaster Recovery for a Databricks Workspace

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This post is a continuation of the Disaster Recovery Overview, Strategies, and Assessment and Disaster Recovery Automation and Tooling for a Databricks Workspace...

Using Delta Sharing to Accelerate Insights with Nasdaq’s Digital Assets Market Data

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This is a collaborative post from Databricks and Nasdaq. We thank Mitch Tessier, Product Marketing Manager at Nasdaq, for his contributions. Data exploration...

Databricks SQL Statement Execution API – Announcing the Public Preview

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Today, we are excited to announce the public preview of the Databricks SQL Statement Execution API, available on AWS and Azure. You can...

Announcing General Availability of Databricks Model Serving

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ML Virtual Event Enabling Production ML at Scale With Lakehouse March 14, 9 AM PDT / 4 PM GMT Register Now We are...

Announcing the Winners for the Inaugural Databricks ASEAN Data Team Awards

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We are excited to recognize the winners of the first-ever ASEAN edition of the Databricks Data Team Awards! Hundreds of teams were nominated...

Finding a Data Platform that Can Do More, With Less

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In today's economy, the key phrase is "do more with less." Doing more with less is not just about reducing infrastructure cost, but...

Distributed Data Governance and Isolated Environments with Unity Catalog

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Effective data governance is essential for any organization that relies on data, analytics and AI for its operations. In many organizations, there is...

Level up with Databricks at Game Developers Conference

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We're thrilled to announce that Databricks will be sponsoring Game Developers Conference (GDC), the world's largest professional game industry event, taking place March...

Unsupervised Outlier Detection on Databricks

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Kakapo (KAH-kə-poh) implements a standard set of APIs for outlier detection at scale on Databricks. It provides an integration of the vast PyOD...

Real-Time Insights: The Top Three Reasons Why Customers Love Data Streaming with Databricks

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The world operates in real-time The ability to make real-time decisions in today's fast paced world is more critical than ever before. Today's...

Unlock the Power of Your Game Data and AI with Our Ultimate Guide

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Is your game studio looking to stay ahead of the curve in a rapidly evolving industry? Look no further than our Ultimate Guide...

Enhancing the Amperity CDP with Personalized Product Recommendations

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Personalization provides organizations a means to more directly connect with customers' needs and preferences. In a crowded retail landscape, such targeted engagement is...

Building the Lakehouse for Healthcare and Life Sciences - Processing DICOM images at scale with ease

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One of the biggest challenges in understanding patient health status and disease progression is unlocking insights from the vast amounts of semi-structured and...

Get started with new role-based onboarding trainings for Databricks Lakehouse Platform

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The demand for data, analytics, and AI talent continues to grow as organizations in every industry adopt new technologies to become more efficient...

Transparency, visibility, data: Optimizing the Manufacturing Supply Chain with a Semantic Lakehouse

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This is a collaborative post from Databricks, Tredence, and AtScale. Over the last three years, demand imbalances and supply chain swings have amplified...
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