Book description
Now in its sixth edition, O’Reilly’s annual Big Data Now report recaps the trends, tools, applications, and forecasts we’ve examined throughout 2016. This collection of blog posts, authored by leading thinkers and experts in the field, reflects a unique set of themes we’ve identified as gaining significant attention and traction.
Our list of topics for 2016 includes:
- Careers in data
- Tools and architecture for big data
- Intelligent real-time applications
- Cloud infrastructure
- Machine learning: models and training
- Deep learning and artificial intelligence
Table of contents
- Introduction
- 1. Careers in Data
-
2. Tools and Architecture for Big Data
-
Apache Cassandra for Analytics: A Performance and Storage Analysis
- Wide Spectrum of Storage Costs and Query Speeds
- Summary of Methodology for Analysis
- Scan Speeds Are Dominated by Storage Format
- Storage Efficiency Generally Correlates with Scan Speed
- A Formula for Modeling Query Performance
- Can Caching Help? A Little Bit.
- The Future: Optimizing for CPU, Not I/O
- Filtering and Data Modeling
- Cassandra’s Secondary Indices Usually Not Worth It
- Predicting Your Own Data’s Query Performance
- Conclusions
- Scalable Data Science with R
- Data Science Gophers
- Applying the Kappa Architecture to the Telco Industry
-
Apache Cassandra for Analytics: A Performance and Storage Analysis
- 3. Intelligent Real-Time Applications
- 4. Cloud Infrastructure
- 5. Machine Learning: Models and Training
- 6. Deep Learning and AI
Product information
- Title: Big Data Now: 2016 Edition
- Author(s):
- Release date: February 2017
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 9781491977484
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