1) Data Story Telling:People & Industry | 2) Apache Druid: Speed Dating w Data

Agenda:

• Light food and appetizers
• Fireside Chat with Data Driven Experts

• Lee Blackwell : Big Data Engineer
• Andrea Loffert : Self-service Analytics and Strategy

• Imply & Apache Druid
• Raffle / Prizes
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  ** Panel Discussion with Data Driven Experts
  Lee Blackwell:
  A Data Engineer who enables Analysts and Scientists to achieve the best results with high quality, reliable, and rich data. She has the ability to understand business problems at the highest level and implement the systems to efficiently solve them from the ground up. Some specific skills and technologies she's most familiar with include the Cloudera Hadoop ecosystem, Spark, Java, Python, the big 3 cloud platforms, and various software automation tools.

Andrea Loffert:
Andrea has worked in Self Service Business Intelligence since 2013. Her focus and passion have always been helping communicate and enable the business with their data to help drive faster and more strategic business decisions. She's worked with numerous technologies (Tableau, PowerBI, Looker, Alteryx, etc) throughout this field and in many industries (such as telecommunications, driver risk management, interactive marketing, healthcare, retail and manufacturing)

** Apache Druid & Imply
Apache Druid is an open source distributed, high performance real-time analytics database. It enables fast-paced businesses to make critical decisions fast. Airbnb, Alibaba, Cisco, eBay, Hulu, Lyft, Netflix, Nielsen, PayPal, SK Telecom, Yahoo & Walmart are all using Druid to solve their business problems of today. We will discuss how these organizations are integrating Apache Druid as their “speed layer”, enabling them to slice and dice, drill down instantly on very large data sets.

Rommel Garcia is currently the Director of Solutions Engineering at Imply https://imply.io/ , a company founded by the same people that created Druid. He is an author of the book Virtualizing Hadoop - How to install. Deploy, and Optimize Hadoop in Virtualized Infrastructure. In the last 10 years, he had worked on Data Management both on-prem and in the cloud, distributed systems, Big Data analytics, and hardware accelerated computing using GPUs.

** Raffle / Prizes