Fireside Chat

Hortonworks

Kamal Brar, Vice President & GM APAC, Hortonworks

Moderator : John Ottman, Executive Chairman, Solix Technologies, Inc.

Panel

Data Driven Banking & Financial Services

Moderator : Mark Lee, Senior Vice President, Solix Technologies, Inc.

Panel Speakers

Atul Khanna, Vice President, Edelweiss Financial Services

Sivakumar Subbiah, VP, Enterprise Data & Analytics, Wells Fargo

Deepak Mudalgikar, Senior Vice President-IT, HDFC Bank

Udaya Shankar, Sales & Solutions Head, Analytics India, Wipro

Fireside Chat

MapR

Derek Judge, Senior Director – Alliances & Channel, APAC, MapR

Moderator : John Ottman, Executive Chairman, Solix Technologies, Inc.

Panel

Data Driven Healthcare

Moderator : Raj Popli, Director Healthcare Business, Solix Technologies, Inc.

Panel Speakers

Arvind Sivaramakrishnan, CIO, Apollo Hospitals

Vamsi Chandra Kasivajjala, Sr. VP, Practo and CEO & Co-founder of Enlightiks

Nandkishor Dhomne, CIO, Manipal Hospitals

Panel

Data Driven Enterprises

Moderator : Shekhar Dasgupta, Founder, GreenField Software Private Limited

Panel Speakers

Pradeep Menon, Vice President – Global Analytics & Data Domain, GE

Satyanarayana Kasturi, Chief Information Officer, Essar Projects Limited

Ashok Kannan, GM – IT, Jockey Apparel India

Sanjay Prasad, CIO, Tata Power

Panel

The Role of Cloud in Business Transformation

Moderator : Peter Evans, Senior Director Big Data Solutions, Solix Technologies, Inc.

Panel Speakers

Neeraj Goyal, VP Engineering Cloud Platform, Snapdeal

Subrata Mandal, CIO, Aliaxis Group of Companies, India

Syed Atif Umar, Senior Vice President & Head of Data Science Global Decision Management, Citigroup

Spark Core API vs. Spark Dataframes

Speaker: Durga Viswanatha Raju, Gadiraju, Founder and Technology Evangelist, IT Versity

This session will cover

* Overview of Spark

* Spark Modules

* Spark Execution modes – local, standalone, Mesos, YARN

* Spark Core API – Transformation and Actions

* Spark Dataframes

* Core API vs. Dataframes

Apache Zeppelin / Spark

Speaker: Prabhjyot Singh, Hortonworks, India

Zeppelin is a web-based notebook for interactive analysis that is very popular among Apache Spark users. Zeppelin provides a “Modern Data Science Studio” that supports Spark and Hive out of the box. Actually, Zeppelin supports multiple language backends which have support for a growing ecosystem of data sources. Zeppelin’s notebooks provide interactive snippet-at-time experience to data scientist.

Apache Ambari

Speaker: Venkatraman Poornalingam, Principal Engineer Automation, Hortonworks, India

Apache Ambari is the preferred way to Manage HDP clusters. Ambari is a top level Apache project and it helps in Creating, Maintaining and Upgrading the Hadoop cluster. In this session, we would see a brief introduction of Apache Ambari and how it works.

Cloudera Enterprise Data Hub: A New Way to Work with Data

Speaker: Vinay Rayker, Partner Sales Engineer, Cloudera

For organizations who want enterprise-grade Hadoop, Cloudera Enterprise is the smart choice. Join us at this session to learn about how our platform combines the best of the high-performance Hadoop ecosystem with enterprise tools and support that make Hadoop simple to manage and secure at scale in the most demanding environments.

Cloudera’s next generation BigData Hadoop products

Speaker: Vinay Rayker, Partner Sales Engineer, Cloudera

Learn about some of the exciting products that Cloudera has built to support BigData projects. In this session, we will cover some of the new products of Cloudera platform like KUDU (Storage engine for Real-time Analytics), Data Science Workbench (A modern platform for Data Science and BigData Analytics), Navigator Optimizer (To move right workloads onto Hadoop) and many more.

Streaming Analytics and Schema Registry

Speaker: Arun Iyer, Hortonworks, India

Speaker: Satish Duggana, Hortonworks, India

Stream processing has become the de-facto standard for building real-time ETL and Stream Analytics applications. We see batch workloads move into streaming to to act on the data and derive insights faster. This is evidenced by the explosion of Stream Processing frameworks, but users have to choose and try to understand the benefits of each of these frameworks, choose the right one, learn the new APIs and also operationalize their applications. To create value faster, we are introducing new open source tools – Streamline and Schema registry. Schema Registry is a central repository for storing and evolving schemas. It provides an API & tooling to help developers and users to register a schema and consume that schema without having any impact if the schema changes. Streamline is a self-service tool that will ease building streaming applications and deploy the streaming application across multiple frameworks/engines that users prefer in a snap.