An Excellent Guide to Big Data terms, concepts, technologies, and analytics. Part 1 introduces big data.
This three part Big Data e-Book provides an in-depth introduction to big data so CIOs can understand its key concepts and factors driving successful adoption in the enterprise. Excellent Read! (300 pages)
This guide to big data will help you understand:
- What is Big Data?
- What are the key terms and concepts in Big Data?
- Why is Big Data critical to enterprise value?
- How to take the first step towards Big Data implementation?
- What are the key technologies used in Big Data?
- How to analyze, visualize, and use Big Data?
CIOs can use this information to understand key concepts, analytics, and technologies powering Big Data. MUST Read!!
Part 1: What is Big Data?
This discussion explains the key concepts and terms in Big Data.
- What is Big Data?
- Why is Big Data important?
- How to get started with Big Data?
- What is Hadoop?
Part 2: How to use Big Data?
This discussion focuses on big data analytics and visualization.
- How does Big Data power business intelligence?
- How to build Big Data Warehouses?
- What is Big Data Analytics?
- What is Visualization in Big Data?
Part 3: How to implement Big Data?
This discussion focuses on the technologies that power Big Data.
- What is Hadoop? What has changed over the years?
- What are the key encoding technologies powering Big Data?
- What are the key ingestion technologies powering Big Data?
- What are the key storage technologies powering Big Data?
- What are the key processing technologies powering Big Data?
- How to put it all together?
