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1
Intro
2
Technical Assistance
3
What is a generic data lake?
4
Lambda Architecture
5
Azure Blob Storage
6
Azure Data Lake Store (ADLS)
7
Azure HDinsight
8
Batch Processing - Azure Data Lake Analytics
9
Data Lake Analytics Workloads
10
Federated Query
11
Store & Process: Azure SQL Data Warehouse
12
What is a DTU (Data Warehouse Unit)?
13
Partitioning Data
14
Non-supported data types
15
Unsupported Features
Description:
Explore Azure's big data and Massively Parallel Processing (MPP) offerings in this comprehensive conference talk from the PASS Data Community Summit. Dive into the concept of data lakes, Lambda Architecture, and various Azure services including Blob Storage, Data Lake Store, HDInsight, and Data Lake Analytics. Learn about batch processing, federated queries, and the intricacies of Azure SQL Data Warehouse, including Data Warehouse Units (DTUs), data partitioning, and important considerations for unsupported data types and features. Gain valuable insights into leveraging Azure's powerful tools for handling large-scale data processing and analytics workloads.

Azure Big Data and MPP Offerings - Summit Preview

PASS Data Community Summit
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