#OCBigData Meetup #21

5:45 - 6:45
Socialize over food and adult beverages

6:45 - 7:30: Learn how to get a functioning Hadoop cluster on bare metal
Greg Bruno, StackIQ (https://www.stackiq.com/)

7:30-8:15: Data Prep using Spark
Kumar Kayaram, Paxata (http://www.paxata.com/)

Paxata (http://www.paxata.com/) will be sponsoring the food for this event.

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Speaker: Greg Bruno (http://t.sidekickopen04.com/e1t/c/5/f18dQhb0S7lC8dDMPbW2n0x6l2B9nMJW7t5XX48q5T4zW1q0Qn21qwvvvVQBb2Y56dS7ldcq1r202?t=https%3A%2F%2Fwww.linkedin.com%2Fin%2Fgreg-bruno-46558584%2F&si=4747341534330880&pi=3f9d2566-b39a-48c2-ee54-b3c1b8113a1b), VP Engineering and co-founder

Topic:

Step 1 of every Hadoop vendor’s documentation reads something like this: “First install a cluster.” Without a consistent group of installed machines, a Hadoop installation is prone to failure. Architected, developed, and built completely in the open, the Hortonworks Data Platform (HDP) provides Hadoop designed to meet the needs of enterprise data processing. The deployment of HDP on a cluster is a non-trivial task. And while Ambari is used to deploy HDP on a cluster, Ambari itself needs to be set up on a cluster too.

Stacki automates the deployment of Ambari in a few simple steps. Stacki is an open source bare metal provisioning tool that installs machines to a ping and a prompt enabling the consistency and configuration required for modern applications, including Hadoop. The StackIQ (http://t.sidekickopen04.com/e1t/c/5/f18dQhb0S7lC8dDMPbW2n0x6l2B9nMJW7t5XX48q5T4zW1q0Qn21qwvvvVQBb2Y56dS7ldcq1r202?t=http%3A%2F%2Fwww.stackiq.com%2F&si=4747341534330880&pi=3f9d2566-b39a-48c2-ee54-b3c1b8113a1b) engineering team recently released an open source Stacki Pallet for Hortonworks (http://t.sidekickopen04.com/e1t/c/5/f18dQhb0S7lC8dDMPbW2n0x6l2B9nMJW7t5XX48q5T4zW1q0Qn21qwvvvVQBb2Y56dS7ldcq1r202?t=http%3A%2F%2Fstackiq.com%2Fhortonworks%2F&si=4747341534330880&pi=3f9d2566-b39a-48c2-ee54-b3c1b8113a1b), which provides the software necessary to easily deploy Ambari and then HDP on a cluster.

This presentation will demonstrate how to the Stacki Pallet for Hortonworks can be used to give you a functioning Hadoop cluster on bare metal. You will learn how to set up Stacki (http://t.sidekickopen04.com/e1t/c/5/f18dQhb0S7lC8dDMPbW2n0x6l2B9nMJW7t5XX48q5T4zW1q0Qn21qwvvvVQBb2Y56dS7ldcq1r202?t=http%3A%2F%2Fstackiq.com%2Fdownloads%2F&si=4747341534330880&pi=3f9d2566-b39a-48c2-ee54-b3c1b8113a1b), the Pallet, Ambari, and then install Hadoop on a running cluster. You can download the necessary ISOs for the Pallet and view the documentation on the GitHub Repo: https://github.com/StackIQ/stacki-hdp-bridge

Speaker: Kumar Jayaram (https://www.linkedin.com/in/kumarjayaram/), Paxata (http://www.paxata.com)

Interactive applications on Spark? The how, what and why of taking Spark to the next level.

Paxata is built to satisfy those who want to dramatically increase their productivity of ever-increasing data volumes while reducing the trap of data chaos. Business analysts work within an intuitive, visual, self-service data preparation application to gather, prepare and publish data with clicks, not code, with complete governance and security. IT teams administer the scale of data volume and variety, data sources, and business scenarios for both ad-hoc and repeatable data service needs.