Delta Lake Roadmap 2021 H2: Features Overview
Get a look at the feature roadmap for Delta Lake.
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Architect’s Open-Source Guide for a Data Mesh Architecture
Data Mesh is an innovative concept addressing many data challenges from an architectural, cultural, and organizational perspective. But is the world ready to implement Data Mesh? In this video, review the importance of core Data Mesh principles, what they can offer, and when it is a good idea to try a Data Mesh architecture.
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Databricks Lakehouse Overview Training
Databricks provides this course on Databricks Lakehouse. In this course, you’ll discover how the Databricks Lakehouse Platform can help you compete in the world of big data and artificial intelligence. In the first half of the course, we’ll introduce you to foundational concepts in big data, explain key roles and abilities to look for when […]
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Becoming a Data Driven Organization with Modern Lakehouse
I often say that “Data is the new oil,” but to transform it into anything useful, you need a high performing oil refinery. This talk by Databricks highlights the emerging “Lakehouse” pattern that’s taking enterprises by storm.
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Snowflake Snowpark Demo using ElectrifAi’s Pre-Built Machine Learning Models
ElectrifAi has teamed up with Snowflake to make it easier than ever for you to implement pre-built machine learning models on their platform – so you can accelerate your Ai projects and achieve strategic outcomes faster. My teammate Jim Marten shows how you can integrate your data in Snowflake with ElectrifAi’s pre-built ML models using […]
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Data + AI Summit 2021 – Full Thursday AM Keynote on Apache Spark, Data Sciencem and Machine Learning
Here is the entire AM keynote from the Data + AI Summit 2021. The pursuit of AI is one of the biggest priorities in data today. The Thursday morning keynote will be led by Databricks Co-founder and CEO Ali Ghodsi and cover advances in data science, machine learning, MLOps and more in both open source […]
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What is Delta Lake?
Delta Lake is an open format storage layer that delivers reliability, security and performance on your data lake — for both streaming and batch operations. By replacing data silos with a single home for structured, semi-structured and unstructured data, Delta Lake is the foundation of a cost-effective, highly scalable lakehouse. Learn more: https://databricks.com/product/delta-lake-on-databricks
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From BI to Lakehouse Part 2
Considering shifting gears into Spark Data Engineering, BI, and Lakehouses? Watch this fun session with Simon and Denny Lee as they continues to chat through their meandering journeys from SQL Server & BI to Apache Spark, Delta Lake and the emerging Data Lakehouse approach. Be prepared for a geeky, trans-Atlantic event from two data nerds. […]
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Azure Synapse and On-Demand Serverless Compute and Querying
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Frank
- June 22, 2020
- Azure Synapse
- Big Data analytics
- big data analytics tools
- big data processing
- Data Engineering
- data engineering projects
- enterprise data warehousing
- how serverless computing works
- on-demand serverless compute
- serverless computing
- serverless computing azure
- serverless computing benefits
- serverless computing examples
- what is serverless computing in azure
- which is a serverless compute service that runs code on-demand
Microsoft Mechanics learns how UK-based data engineering consultant, endjin, is evaluating Azure Synapse for on-demand serverless compute and querying. Endjin specializes in big data analytics solutions for customers across a range of different industries such as ocean research, financial services, and retail industries. Host Jeremy Chapman speaks with Jess Panni, Principal and Data Architect at […]
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Slowly Changing Dimensions (SCD) Type 2
Databricks recently streamed this tech chat on SCD, or Slowly Changing Dimensions. We will discuss a popular online analytics processing (OLAP) fundamental – slowly changing dimensions (SCD) – specifically Type-2. As we have discussed in various other Delta Lake tech talks, the reliability brought to data lakes by Delta Lake has brought a resurgence of […]
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