Distinguish data lake vs data warehouse; modernize your data management and analytics with data platforms.
During this 40 min webinar, experts in Data, BI, and Analytics explain the difference of data lake vs data warehouse vs data hub in their purpose and capabilities.
Watch the video to learn the core principles, technologies, and benefits that different modern data management platforms can bring to your data solution.
Get insight on:
- Main types of modern data analytics architecture. Review reference architectures and patterns for specific use cases and learn the benefits each of them brings. Distinguish data lake vs data warehouse.
- Business drivers and benefits of modern data architecture Learn how scaling data lake architecture helps to reduce costs and ramp-up capabilities for unstructured and Big Data, advanced analytics, and real-time processing.
- Benefits, types, and use cases of Data Lake architecture Explore design principles to follow when choosing the right type of Data Lake for your set of use cases.
- The latest technology options to build Data Lake solutions Understand how Data Lakes fit into the overall data architecture and relate to its building blocks: data sourcing, data warehousing, data streaming, data governance, security, BI/reporting, data science, and machine learning tools.
- Best practices for Data Lake implementation Envision practical steps to modernize your data architecture with Data Lakes. Investigate the peculiarities of Azure data lake, AWS data lake, and other specific platforms.
Speakers:
- Alexey Utkin, Principal Solution Consultant at DataArt UK
- Oleg Komissarov, Principal Consultant at DataArt USA
