Blockchain is about to upend the world of data analytics just as it did financial record-keeping. Here's what you need to become an early adopted of blockchain as a big-data tool! Explore how blockchains store data and learn how this rich new source of data can enhance predictive analytics and real-time data analysis. You'll also find out how blockchains can help you manage your data and keep shared data more secure. Learn to implement blockchain analysis models, use third-party toolsets, assess your analysis needs, and more. -- From publisher's description.

Includes index.

Part 1: Intro to analytics and blockchain. Driving business with data and analytics ; Digging into blockchain technology ; Identifying blockchain data with value ; Implementing blockchain analytics in business ; Interacting with blockchain data. -- Part 2: Fetching blockchain chain. Parsing blockchain data and building the analysis dataset ; Building basic blockchain analysis models ; Leveraging advanced blockchain analysis models. -- Part 3: Analyzing and visualizing blockchain analysis data. Identifying clustered and related data ; Classifying blockchain data ; Predicting the future with regression ; Analyzing blockchain data over time. -- Part 4: Implementing blockchain analysis models. Writing models from scratch ; Calling on existing frameworks ; Using third-party toolsets and frameworks ; Putting it all together. -- Part 5: The part of tens. Ten tools for developing blockchain analytics models ; Ten tips for visualizing data ; Ten uses for blockchain analytics.