Databricks

Databricks

Data + AI World Tour: Reckitt Keynote

Reckitt shares the story of their Lakehouse journey, from the drivers behind their shift to this new paradigm, to lessons learned along the way. From a starting point of a siloed, data warehouse centric architecture that had inherent challenges with scalability, performance and data duplication, Reckitt has standardized upon Databricks to serve as an open […]

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Databricks

Discover the Data Lakehouse

Arsalan Tavakoli-Shiraji, SVP of Field Engineering at Databricks explains the Data Lakehouse. Data is the focal point for innovation and disruption, but organizations are increasingly challenged with managing massive amounts of data to derive value. With new analytics and ML requirements, organizations need a flexible, multi-cloud data architecture that supports all data types, data teams, […]

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PowerBI

Artificial Intelligence (AI) With Power BI

Microsoft is heavily invested in bringing Artificial Intelligence capability to their business line of products like Power BI. With tools like AI Insights, you can gain access to a collection of pre-trained machine learning models that enhance your data preparation efforts. With AI visuals you can empower users to gain new insights in more interactive […]

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Databricks

Databricks Pyspark: Merge (Upsert) using Pyspark and Spark SQL

Here’s an interesting video on doing a merge operation with PySpark and Spark SQL.

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AI Databricks

Workshop: Geospatial Analytics and AI at Scale

Geospatial analytics has evolved beyond analyzing static maps. Today, enterprises have access to diverse geospatial data like high-res images, streaming video, and GPS data. By applying advanced analytics to these geospatial datasets, organizations can deliver on a broad range of use cases across all industries. Watch this video to learn how to build powerful geospatial […]

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Databricks

Ali Ghodsi Keynote from Data + AI World Tour

Open source, open standards, multicloud — lakehouse was made for the way the world works today. Hear Databricks co-founder and CEO Ali Ghodsi talk about his vision for the Databricks Lakehouse.

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Databricks

Databricks and Accenture: Fireside Chat with Ali Ghodsi and Karthik Narain

Hear Ali Ghodsi, CEO and Co-Founder of Databricks, and Karthik Narain, Lead of Accenture Cloud First, discuss how the Lakehouse architecture eliminates data silos and provides reliability, performance, and governance required to support all types of data workloads.

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Databricks Python

Developing Python Libraries with Databricks Repos

The addition of Databricks Repos changed a lot of our working processes around maintaining notebooks, but the process for building out our own python libraries hasn’t changed much over the years. With “Files for Databricks Repos”, we suddenly see a massive shift in how we can structure our library development, with some huge productivity boosts […]

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Databricks

Databricks SQL Demo

In order to support the use cases that are important to data analysts and business users, Databricks SQL provides data warehousing performance at data lake economics for up to 9x better price/performance for SQL workloads than traditional cloud data warehouses. In this demo, we walk through some of the features of the new Databricks SQL […]

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