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Databricks, AWS, and SafeGraph Team Up For Easier Analysis of Consumer Behavior

This notebook was produced as a collaboration between SafeGraph and Databricks Ryan Fox Squire, Product Data Scientist @ SafeGraph Andrew Hutchinson, Solutions Architect @ Databricks Prasad Kona,...

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Azure Databricks Highlights Adoption of Delta Lake, MLflow, and Integration...

At Microsoft Ignite 2019, thousands of attendees participated in hands-on workshops, breakout sessions, and theater presentations to learn how customers are achieving phenomenal results with Azure...

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A Day at the 2019 Women in Product Conference

From left to right: Shveta, Julia, Yardley Pohl (a WIP board member and co-founder), Anna, Allie, Cyrielle, and Rani at the Databricks booth Databricks was a proud sponsor of the 2019 Women In Product...

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Deep Learning Tutorial Demonstrates How to Simplify Distributed Deep Learning...

On October 10th, our team hosted a live webinar—Simple Distributed Deep Learning Model Inference—with Xiangrui Meng, Software Engineer at Databricks. Model inference, unlike model training, is usually...

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How Databricks and Privacera Combine to Secure Data for Cloud Analytics

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...

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Brickster Spotlight: Meet Alex

At Databricks, we help data teams solve the world’s toughest problems and we couldn’t do that without our wonderful Databricks Team. “Teamwork makes the dream work” is not only a central function of...

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Migration from Hadoop to modern cloud platforms: The case for Hadoop...

Companies rely on their big data and analytics platforms to support innovation and digital transformation strategies. However, many Hadoop users struggle with complexity, unscalable infrastructure,...

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New Databricks Integration for Jupyter Bridges Local and Remote Workflows

Introduction For many years now, data scientists have developed specific workflows on premises using local filesystem hierarchies, source code revision systems and CI/CD processes. On the other side,...

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Databricks and Informatica Integration Simplifies Data Lineage and Governance...

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...

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Streamlining Variant Normalization on Large Genomic Datasets with Glow

Cross posted from the Glow blog. Many research and drug development projects in the genomics world involve large genomic variant data sets, the volume of which has been growing exponentially over the...

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Processing Geospatial Data at Scale With Databricks

The evolution and convergence of technology has fueled a vibrant marketplace for timely and accurate geospatial data. Every day billions of handheld and IoT devices along with thousands of airborne and...

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Databricks Demonstrates AWS Platform Integrations at re:Invent 2019

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...

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End-to-end Data Governance with Databricks and Immuta

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...

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Make Your Data Lake CCPA Compliant with a Unified Approach to Data and Analytics

With more digital data being captured every day, there has been a rise of various regulatory standards such as the General Data Protection Regulation (GDPR) and recently the California Consumer Privacy...

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YipitData Example Highlights Benefits of Databricks integration with AWS Glue

At Databricks, we have partnered with the team at Amazon Web Services (AWS) to provide a seamless integration with the AWS Glue Metastore.   Databricks can easily use Glue as the metastore, even across...

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Better Machine Learning through Active Learning

Try this notebook to reproduce the steps outlined below Machine learning models can seem like magical savants. They can distinguish hot dogs from not-hot-dogs, but that’s long since an easy trick. My...

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Automate deployment and testing with Databricks Notebook + MLflow

Today many data science (DS) organizations are accelerating the agile analytics development process using Databricks notebooks.  Fully leveraging the distributed computing power of Apache Spark™, these...

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Azure Databricks Achieves HITRUST CSF® Certification

We are excited to announce that Azure Databricks is now certified for the HITRUST Common Security Framework (HITRUST CSF®). Azure Databricks is already trusted by organizations such as Electrolux,...

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Engineering Interviews — A Hiring Manager’s Guide to Standing Out

Ask any engineering leader at a growth stage company what their top priority is, and they’ll likely say hiring. When we think about how big a decision taking a job is for both the company and...

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How Databricks makes distributed sites successful

Credit: Pexels.com Databricks recently announced signing a lease for new office space in Toronto. After Amsterdam, Toronto is our second geographically-distributed engineering site and a major...

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