Data Just Right: Introduction to Large-Scale Data & Analytics

• Author: Michael Manoochehri
• Language: English
• Published: December 29, 2013
• Page: 245
• Size:  3 MB
• Format: pdf

Coverage includes

1. Mastering the four guiding principles of Big Data success—and avoiding common pitfalls
2. Emphasizing collaboration and avoiding problems with siloed data
3. Hosting and sharing multi-terabyte datasets efficiently and economically
4. “Building for infinity” to support rapid growth
5. Developing a NoSQL Web app with Redis to collect crowd-sourced data
6. Running distributed queries over massive datasets with Hadoop, Hive, and Shark
7. Building a data dashboard with Google BigQuery
8. Exploring large datasets with advanced visualization
9. Implementing efficient pipelines for transforming immense amounts of data
10. Automating complex processing with Apache Pig and the Cascading Java library
11. Applying machine learning to classify, recommend, and predict incoming information
12. Using R to perform statistical analysis on massive datasets
13. Building highly efficient analytics workflows with Python and Pandas
14. Establishing sensible purchasing strategies: when to build, buy, or outsource
15. Previewing emerging trends and convergences in scalable data technologies and the evolving role of the Data Scientist