Breaking points of traditional approach
What if you could handle big data?
Introducing Apache Hadoop
Data volume
Data variety
Data velocity
1°°°°°°°°° °°°°°°°°°° °°°°°°°° ° ° N Hadoop is a platform with portfolio of projects
A Hadoop distribution is a package of projects
With many contributors
Business applications of Hadoop
New analytic applications from new data
Challenges with implementing Hadoop
Why Cloud + Big Data? Speed Scale Economics Always Up, Always On Open and flexibleTime to value Data of all Volume, Variety, Velocity Massive Compute and Storage Deployment expertise
Benefits of Cloud Unlimited elastic scale Auto geo redundancy No hardware costs Pay only for what you need $0 Why Hadoop in the Cloud?
Scenarios For Deploying Hadoop As Hybrid
Introducing Azure HDInsight
Microsoft contributions to Hadoop
HDInsight Built for Windows or Linux
HDInsight Supports Hive Hadoop 2.0
HDInsight Supports HBase Data Node Task Tracker Name Node Job Tracker HMaster Coordination Region Server
HDInsight Supports Mahout
HDInsight Supports Storm Stream processin g Search and query Data analytics (Excel) Web/thick client dashboards Devices to take action
HDInsight Supports Spark
HDInsight Allows You To Add Hadoop Projects
Microsoft Makes Hadoop Easier Deep Visual Studio Integration Debug Hive jobs through Yarn logs or troubleshoot Storm topologies Visualize Hadoop clusters, tables, and storage Submit Hive queries, Storm topologies (C# or Java spouts/bolts) IntelliSense
Introducing Azure HDInsight
Why Microsoft Azure? Azure Storage
No hardware challenges $0
Deployed in minutes
Mission Critical, Enterprise Ready
Maintenance done for you
Low Cost $£€¥
Introducing Azure HDInsight
Bringing Hadoop to a billion people
Cloud
Get Started
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