1. Microsoft Connect 2016 11/22/2018 9:50 PM
© 2016 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

2. Introduction to Azure Data lake Store – store all of your application data for processing and analytics
Jason Chen
Principal Program Manager

3. Agenda Introduction to Azure Data Lake Store (ADLS)
11/22/2018 9:50 PM
Agenda
Introduction to Azure Data Lake Store (ADLS)
Demo: create a new ADLS
Demo: process data in ADLS using Visual Studio
© 2016 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

4. Integrate data solutions into your applications
11/22/2018 9:50 PM
Integrate data solutions into your applications
Variety of data sources
Huge volume
High Speed
Store in a single place
Fast search and analytics
OLTP
ERP
CRM
LOB
Azure Data Lake Store
Social
Web
Sensors
Devices
© 2016 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

5. Introducing Azure Data Lake Store
11/22/2018 9:50 PM
Introducing Azure Data Lake Store
A No limits Data Lake that powers Big Data Analytics
No limits to SCALE
Store ANY DATA in its native format
Optimized for analytic workload PERFORMANCE
HADOOP FILE SYSTEM (HDFS) for the cloud
ENTERPRISE GRADE security
© 2016 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

6. Petabyte size files and Trillions of objects
11/22/2018 9:50 PM
Petabyte size files and Trillions of objects
No limits to data size
Petabyte-size files and Trillions of objects Analyze all of your data in a single place
Any type of data
Unstructured, semi-structured and structured data.
Speech, high-resolution video, genomic and seismic datasets, medical data
© 2016 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

7. Scalable throughput for massively parallel analytics
11/22/2018 9:50 PM
Scalable throughput  for massively parallel analytics
Massive throughput to run analytic jobs with 1,000+ concurrent executors that read and write hundreds of terabytes of data efficiently
Preparation, analytics and machine learning
Machine Learning
Data Lake Analytics
Azure
HDInsight
Hadoop
R Server R
HBASE
Spark
Azure Data Lake Store
© 2016 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

8. 11/22/2018 9:50 PM
HDFS for the Cloud
Apache Hadoop Distributed File System (HDFS) Compatible
Easily migrate your existing Hadoop and Spark data to the cloud
© 2016 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

9. Always encrypted, Role-based security & Auditing
11/22/2018 9:50 PM
Always encrypted, Role-based security & Auditing
Single sign-on (SSO), multi-factor authentication, OAuth
Fine-grained POSIX-based ACLs
Protects your data assets
Rich auditing
© 2016 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

10. Demo Create a new Azure Data Lake Store Microsoft Connect 2016
11/22/2018 9:50 PM
Demo
Create a new Azure Data Lake Store
© 2016 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

11. Demo Analyze data in Azure Data Lake Store using Visual Studio
Microsoft Connect 2016
11/22/2018 9:50 PM
Demo
Analyze data in Azure Data Lake Store using Visual Studio
© 2016 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

12. Microsoft Connect 2016
11/22/2018 9:50 PM
Azure Data Lake Store No limits Data Lake that powers Big Data Analytics
© 2016 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.