Deliver Savings & Success with Amazon EMR

DURATION:

50 min

FORMAT:

Presentation

We know that the costs and complexity around transient clusters usage can sometimes seem unmanageable. It can be difficult to understand how to increase your data pipeline performance without increasing your expenses. That’s why knowing how to maximize the impact of Amazon Elastic MapReduce (EMR) can make the difference for your business. Learn how EMR can help you overcome Hadoop management and scalability challenges, decrease Hadoop costs, and improve your data pipeline performance.

JOIN SOFTSERVE AND AMAZON AWS IN UNDERSTANDING HOW AMAZON EMR DRIVES SAVINGS AND SUCCESS.

About Speakers:

Rodion Myronov, Data Architect and Consultant

Rodion Myronov has nearly 20 years of data technology experience. Beginning with FoxPro2.6 for DOS, he followed the traditional route of becoming an MS SQL Server and Oracle developer, DBA, and trainer before becoming a team leader and independent consultant. Rodion has also worked on data warehousing and ETL projects based on Redshift, Hadoop, Big Query, and Netezza. He’s collaborated on multiple projects as an architect and consultant, including data lake and data warehouse systems design, assessments, and complex migrations as well as developing data governance frameworks. Today, Rodion manages the direction of AWS projects within SoftServe’s Big Data and Analytics Center of Excellence.

Roy Hasson, Sr Mgr, World Wide Analytics GTM Specialist

Roy Hasson is World Wide Analytics Specialist leader at Amazon Web Services, where he helps transform organizations using data, analytics and machine learning. Roy serves as an expert advisor to customers across all industries to transform their business and become a data driven organization by building a cloud native modern data architecture on AWS. He is also a product leader driven by voice-of-the-customer to guide the development of new innovative services and user experiences for AWS. Prior to AWS, Roy spent 15 years working with tier 1 service providers to design and deploy large scale data systems used to serve today’s cable modem, voice over IP and wireless data services.