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In-Memory Analytics with Apache Arrow

You're reading from   In-Memory Analytics with Apache Arrow Perform fast and efficient data analytics on both flat and hierarchical structured data

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Product type Paperback
Published in Jun 2022
Publisher Packt
ISBN-13 9781801071031
Length 392 pages
Edition 1st Edition
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Author (1):
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Matthew Topol Matthew Topol
Author Profile Icon Matthew Topol
Matthew Topol
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Toc

Table of Contents (16) Chapters Close

Preface 1. Section 1: Overview of What Arrow Is, its Capabilities, Benefits, and Goals
2. Chapter 1: Getting Started with Apache Arrow FREE CHAPTER 3. Chapter 2: Working with Key Arrow Specifications 4. Chapter 3: Data Science with Apache Arrow 5. Section 2: Interoperability with Arrow: pandas, Parquet, Flight, and Datasets
6. Chapter 4: Format and Memory Handling 7. Chapter 5: Crossing the Language Barrier with the Arrow C Data API 8. Chapter 6: Leveraging the Arrow Compute APIs 9. Chapter 7: Using the Arrow Datasets API 10. Chapter 8: Exploring Apache Arrow Flight RPC 11. Section 3: Real-World Examples, Use Cases, and Future Development
12. Chapter 9: Powered by Apache Arrow 13. Chapter 10: How to Leave Your Mark on Arrow 14. Chapter 11: Future Development and Plans 15. Other Books You May Enjoy

ODBC takes an Arrow to the knee

Open Database Connectivity (ODBC) is a standardized Application Programming Interface (API) for accessing databases originally designed and built in the early 1990s. The development of ODBC intended to enable applications to be independent of their underlying database by having a standardized API to use that would be implemented by database-specific drivers. This allowed a developer to write their application and potentially easily migrate to a different database by simply specifying a different driver. In 1997, the Java Database Connectivity (JDBC) API was developed to provide a common API for Java programs to manage multiple drivers and connect either by bridging to an ODBC connection or by other types of connections, which all have different pros and cons. Almost 30 years later, these technologies are still the de facto standard way to communicate with Structured Query Language (SQL) databases.

That all being said, computing, and data in particular...

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