1. Microsoft Partner since 2011
Hortonworks: Hadoop for the Enterprise
100
745+
556
Founded in 2011 %
subscription
customers
ONLY 1
employees across ST
HADOOP
1350 17
open source
Apache Hadoop data platform
distribution to go public
countries TM
IPO Fall 2014 (NASDAQ: HDP)
technology partners
HDInsight 8 TH
largest consumption solution of Azure with millions of hours consumed monthly across hundreds of customers
2015
Cloud Partner of the Year
Microsoft Partner since 2011

2. Big Data Opportunities For Modern Enterprises
2.8 Zettabytes
in 2012
44 Zettabytes
in 2020
NEW
1 Zettabyte (ZB) = 1 million Petabytes (PB); Sources: IDC, IDG Enterprise, and AMR Research
Transform every industry via full fidelity of data and analytics
Opportunity
TRADITIONAL
LAGGARDS
LEADERS 2
Clickstream
ERP, CRM, SCM
Web & Social
Geolocation
Internet of Things
Server Logs
Files, s
New Data
Challenges
Constrains data to app
Can’t manage new data
Costly to Scale 1
Business Value
ERP
CRM
SCM
Question 1

3. HDP delivers an Open Enterprise Hadoop
Hortonworks Data Platform provides Hadoop for the Enterprise: a centralized architecture of core enterprise services, for any application and any data.
Completely Open
HDP incorporates every element required of an enterprise data platform: data storage, data access, governance, security, operations
All components are developed in open source and then rigorously tested, certified, and delivered as an integrated open source platform that’s easy to consume and use by the enterprise and ecosystem.
Hortonworks Data Platform 2.3
YARN: Data Operating System
(Cluster Resource Management) 1
Apache Pig
HDFS (Hadoop Distributed File System)
GOVERNANCE
BATCH, INTERACTIVE & REAL-TIME DATA ACCESS
Apache Falcon
Apache Hive
Cascading
Apache HBase
Apache Accumulo
Apache Solr
Apache Spark
Apache Storm
Apache Sqoop
Apache Flume
Apache Kafka
SECURITY
Apache Ranger
Apache Knox
OPERATIONS
Apache Ambari
Apache Zookeeper
Apache Oozie
Question 1
Our product, the Hortonworks Data Platform (or HDP for short) is a completely open source, enterprise-grade data platform that’s comprised of dozens of Apache open source projects including Apache Hadoop and YARN at its center.
We have a comprehensive engineering, testing, and certification process that integrates and packages all of these components into a cohesive platform that the enterprise can consume and deploy at scale. And our model enables us to proactively manage new innovations and new open source projects into HDP as they emerge.
To ensure the highest quality, we have a test suite, unique to Hortonworks, that is comprised of 10’s of thousands of system and integration tests that we run at scale on a regular basis including on the world’s largest Hadoop clusters at Yahoo! as part of our co-development relationship.
While our pure-play competitors focus on proprietary components for security, operations, and governance, we invest in new open source projects that address these areas.
For example, earlier in 2014, we acquired a small company called XA Secure that provided a comprehensive security and administration product. We flipped the technology in wholesale into open source as Apache Ranger.
Since our security, operations and governance technologies are open source projects, our partners are able to work with us on those projects to ensure deep integration within our joint solution architectures.
Apache Atlas

4. Hortonworks on Azure Infrastructure as a Service
Hortonworks Data Platform on Azure Gallery
Evaluation Configuration for rapid evaluation
5 node cluster
Uses cost efficient A3 Azure virtual machines
Standard Configuration for Proof of Concepts
Flexible choice of 6-45 nodes
Select from A7, A8, A9 Azure virtual machine sizes according to usage scenario
Hortonworks Sandbox on Azure Gallery
Hortonworks Sandbox for single-node learning environment
Question 1

5. Why Azure HDInsight? Microsoft’s cloud Hadoop-as-a-Service offering
100% open source Apache Hadoop - HDP
Built on the latest releases across Hadoop (2.6)
Up and running in minutes with no hardware to deploy
Harness existing .NET and Java skills
Utilize familiar BI tools for analysis including Microsoft Excel
Question 2 accessiblity to advanced analytics

6. Extending the Cloud Hybrid Deployment Choice Replicated Datasets
Windows, Linux, On-Premises and Cloud
Data “gravity” guides deployment
Replicated Datasets
Democratize Hadoop data access via automated sharing of datasets
Compatible Clusters
Run applications and data processing workloads wherever and whenever needed
More than just dev/test
Other Hadoop distributions promote only dev/test usage
Dev / Test
Microsoft Azure
IoT Apps
BI / ML
On-Premises
LEARN