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.

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

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.