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Modern Enterprise Data Architecture

Data Science

The successful enterprises in today’s world economy are data-driven, and innovative companies like Tesla are looking for new ways to leverage data and information for strategic advantage. While the opportunities are vast, and the value has clearly been shown across a number of business development directions in using data to strategic advantage, the choices in technology can be extremely difficult and overwhelming. From classical Enterprise Data Warehouses to Big Data and Massively Parallel Processing (MPP) databases, from Business Intelligence to Artificial Intelligence and Machine Learning, Data Lakes and real-time analytics. Today, data related industries and developers communities are continually evolving to provide new and exciting technological solutions. We will discuss the data architectures & technologies available, and how we leveraging technology for business value and success. The case study will also be provided to show how Tesla has successfully built a data solution to support business goals while at the same time building towards a longer-term scalable and sustainable architecture.

Oleksiy Illyashov
Tesla
  • Principal Data Architect at Tesla
  • Experienced professional with deep knowledge in wide range of IT systems such as Business Intelligence, Databases, Data Warehouses, systems integration within Automotive, Semiconductor, Solar, Space and Aircraft industries.
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