Join Pythian and DBTA for a live roundtable webinar
Architecting a Modern Data Warehouse
Live Roundtable Webinar
Thursday, November 16, 2017
11:00 am PT / 2:00 pm ET
Today, the world of decision-making, along with the data sources and technologies that support it, is evolving rapidly. Modern data warehousing is not only being shaped by the need for businesses to deliver data faster to more users. There is also a real need for a richer picture of their business operations enabled by a greater variety of data for analysis.
A growing number of organizations are modifying their data warehouse infrastructures with new technologies, from in-memory databases to Hadoop – and a flourishing market of cloud solutions. To accommodate the different types of data sources, workloads, applications, and users that big data presents us with, a variety of systems are needed. And to avoid data silos, these technologies need to be integrated under a common architecture.
On Thursday, November 16, Danil Zburivsky, Director of Big Data and Data Science at Pythian joins Kevin Petrie, Senior Director and Technology Evangelist at Attunity and DBTA for a roundtable webinar that will explore the topic of building a modern data warehouse – and beyond. In his presentation, Danil will explore key challenges and critical success factors in data warehousing today. He will also outline the business value, outcomes and other benefits to help you optimize your data warehouse. The webinar will wrap up with questions from the audience following the presentations.
About Danil Zburivsky
As Director of Big Data and Data Science at Pythian, Danil leads a team of big data architects and data scientists that help customers worldwide to achieve their most ambitious goals when it comes to large-scale data platforms. He is recognized for his expertise in architecting, and building and supporting large mission-critical data platforms using MySQL, Hadoop and MongoDB. Danil is a popular speaker at industry events and has authored a book titled Hadoop Cluster Deployment.
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