In-Memory Analytics with Apache Arrow (E-book) Rydułtowy

Apache Arrow is designed to accelerate analytics and allow the exchange of data across big data systems easily.In-Memory Analytics with Apache Arrow begins with a quick overview of the Apache Arrow format, before moving on to helping you to understand Arrow’s versatility and benefits as you walk through a variety of real-world use cases. Youll cover key tasks such as enhancing data science workflows with Arrow, using Arrow and Apache Parquet with Apache Spark and Jupyter for better performance and hassle-free data translation, as well as working with Perspective, an open source interactive graphical and tabular analysis tool for browsers. As you advance, youll explore the different data interchange and storage formats and become well-versed with the relationships between Arrow, Parquet, Feather, Protobuf, Flatbuffers, JSON, and CSV. In addition to understanding the basic structure of the Arrow Flight and Flight SQL protocols, youll learn about Dremio’s usage of Apache Arrow to enhance SQL analytics and discover how Arrow can be used in web-based browser apps. Finally, youll get to grips with the upcoming features of Arrow to help you stay ahead of the curve.By the end of this book, you will have all the building blocks to create useful, efficient, and powerful analytical services and utilities with Apache Arrow. Spis treści: 1. Getting Started with Apache Arrow 2. Working with Key Arrow Specifications 3. Data Science with Apache Arrow 4. Format and Memory Handling 5. Crossing the Language Barrier with the Arrow C Data API 6. Leveraging the Arrow Compute APIs 7. Using the Arrow Datasets API 8. Exploring Apache Arrow Flight RPC 9. Powered By Apache Arrow 10. How to Leave Your Mark on Arrow 11. Future Development and Plans