Spark SQL provides the user with the ability to query data stored in Apache Hive using standard SQL commands. This adds an additional level of accessibility by providing developers with a means to interact with datasets via the Spark SQL interface using common SQL terminologies. The platform hosting the underlying data is not limited to Apache Hive, but can also include JSON, Parquet, and others.
- Preface
- Too Big or Not Too Big
- Big Data Mining for the Masses
- The Analytics Toolkit
- Big Data With Hadoop
- Big Data Mining with NoSQL
- Spark for Big Data Analytics
- An Introduction to Machine Learning Concepts
- What is machine learning?
- Factors that led to the success of machine learning
- Machine learning, statistics, and AI
- Categories of machine learning
- Subdividing supervised machine learning
- Common terminologies in machine learning
- The core concepts in machine learning
- Leveraging multicore processing in the model
- Summary
- Machine Learning Deep Dive
- Enterprise Data Science
- Enterprise data science overview
- A roadmap to enterprise analytics success
- Data science solutions in the enterprise
- Enterprise data science – machine learning and AI
- Enterprise infrastructure solutions
- Tutorial – using RStudio in the cloud
- Summary
- Closing Thoughts on Big Data
- External Data Science Resources
- Other Books You May Enjoy
Spark SQL
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