Speaker: Asad Khan

Introduction to Azure HDInsight – using Hadoop with your applications

Learn about HDInsight, which is a fully managed Cloud Hadoop offering that provides optimized Open Source analytics clusters for Spark, Hive, Map Reduce, HBase, Storm, Kafka and R-Server. Also learn about the latest release of features and workloads on HDInsight

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Azure data and analytics platform

Azure offers a variety of data services for relational, schema-free NoSQL and streaming for your applications. In this session you will learn how to combine Azure SQL Database, DocumentDB, Storm, and Search to ingest, process, and store documents, social data, and structured transaction data to build application with different data needs.

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New Services in the Cortana Analytics Suite: Spark, Azure Data Lake and Data Catalog

This session introduces the newest services in the Cortana Analytics family: Apache Spark™ is a powerful open source processing engine built around speed, ease of use and sophisticated analytics. It includes support for interactive queries (SQL), advanced analytics (e.g. ML) and streaming over large datasets. This session will show you how to use Apache Spark […]

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Real-Time Analytics at Scale for Internet of Things

This talk will provide the overview of the real time analytics infrastructure that can handle 1 million events per second and stores and scales to billions of data points. We will focus on architectures that incorporates both elements – Real time + Batch; since when they are put together they provide the most insights for […]

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Building Big Data Applications Using Azure HDInsight Service

Come to this session to learn how to use Azure HDInsight service to build solutions that can handle any shape data at massive scale. We will build an end to end application that uses both data in motion (Streaming) as well as data at rest (Batch). In this session we will use Big Data technologies […]

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