Performing Advanced Analytics on Relational Data with Spark SQL- Michael Armbrust (Databricks) Published 2014-07-17 Download video MP4 360p Download video MP4 720p Recommendations 12:18 Catalyst: A Query Optimization Framework for Spark and Shark - Michael Armbrust (Databricks) 30:56 Building Apps on the Lakehouse with Databricks SQL 12:15 How to Solve Job Interview Logical Reasoning Puzzles and Tricks 30:06 Building Real Time BI Systems with Kafka, Spark & Kudu: Spark Summit East talk by Ruhollah Farchtchi 1:27:52 Delta Live Tables A to Z: Best Practices for Modern Data Pipelines 06:50 Databricks SQL Demo 30:13 Apache Carbondata: An Indexed Columnar File Format for Interactive Query by Jacky Li/Jihong Ma 31:10 Effective Spark with Alluxio: Spark Summit East talk by Gene Pang and Haoyuan Li 20:58 Intro to Supported Workloads on the Databricks Lakehouse Platform 31:37 Building Realtime Data Pipelines with Kafka Connect & Spark Streaming by Ewen Cheslack-Postava 12:23 AI’s ‘Her’ Era Has Arrived 3:09:11 Power BI Dataflows Tutorial and Best Practices [Full Course] 📊 3:24:58 Agile Scrum Full Course In 4 Hours | Agile Scrum Master Training | Agile Training Video |Simplilearn 25:21 Utilizing Spark as the Analytical Core to an Open Source HTAP Relational Database: John Leach 26:20 Time Series Analytics with Spark: Spark Summit East talk by Simon Ouellette 1:35:47 Apache Spark Meet Up at Spark Summit East 2017 54:35 Decorator Pattern – Design Patterns (ep 3) 13:29 What are Distributed CACHES and how do they manage DATA CONSISTENCY? 3:58:31 PySpark Full Course [2024] | Learn PySpark | PySpark Tutorial | Edureka Similar videos 28:06 Fast distributed query processing with Shark - Michael Armbrust (Databricks) 30:01 Beyond SQL: Spark SQL Abstractions for the Common Spark Job - Michael Armbrust (Databricks) 02:35 Databricks Michael Armbrust 39:32 A Deep Dive into Query Execution Engine of Spark SQL - Maryann Xue 25:29 Spark DataFrames: Simple and Fast Analysis of Structured Data - Michael Armbrust (Databricks) 31:24 From Basic to Advanced Aggregate Operators in Apache Spark SQL 2 2 by Examples with Jacek Laskowski 57:15 Generating Surrogate Keys for your Data Lakehouse with Spark SQL and Delta Lake 31:19 A Tale of Three Apache Spark APIs: RDDs, DataFrames, and Datasets - Jules Damji 29:20 An Introduction to Higher Order Functions in Spark SQL with Herman van Hovell (Databricks) 28:37 Jaws Data Warehouse with Spark SQL 25:42 Extending Apache Spark SQL Data Source APIs with Join Push Down - Ioana Delaney & Jia Li 1:08:05 Developer Meet-up: The Spark SQL Optimizer and External Data Sources API 01:32 Spark Analytics Overview 11:50 Data + AI Summit Keynote, Thursday Part 3 - What's New with Delta Lake 3.0 07:03 Overview of Spark SQL 25:21 Structuring Spark: DataFrames, Datasets, and Streaming - Michael Armbrust (Databricks) More results