Transitioning from Data Warehousing to Big Data
Transitioning from Data Warehousing to Big Data
MP4 | Video: 720p | Duration: 1:50:03 | English | Subtitles: VTT | 251.5 MB
MP4 | Video: 720p | Duration: 1:50:03 | English | Subtitles: VTT | 251.5 MB
Big data and analytics have brought an entirely new era of data-driven insights to companies in all industries. Fortunately, those skilled in traditional business intelligence (BI) and data warehousing (DW) represent a fantastic pool of resources to help businesses adopt this new generation of technologies. This course will quickly educate BI/DW professionals in the key aspects of big data and analytics, including its evolution over the last two decades. Alan Simon shows how to take advantage of new architectures and technologies, such as Hadoop, and build on what you already know to plan a roadmap to a better big data solution for your business.
Topics include:
- Exploring big data, Hadoop, and analytics
- Examining the shortcomings of traditional data warehousing
- Comparing big data architectures for next-generation data warehousing
- Understanding alternatives
- Building a roadmap
- Managing big data-driven projects
- Monitoring and measuring success