Book Image

In-Memory Analytics with Apache Arrow

By : Matthew Topol
Book Image

In-Memory Analytics with Apache Arrow

By: Matthew Topol

Overview of this book

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. You'll 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, you'll 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, you'll 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, you'll 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.
Table of Contents (16 chapters)
1
Section 1: Overview of What Arrow Is, its Capabilities, Benefits, and Goals
5
Section 2: Interoperability with Arrow: pandas, Parquet, Flight, and Datasets
11
Section 3: Real-World Examples, Use Cases, and Future Development

The basics and complications of gRPC

Arrow Flight is built on two things:

  • The Arrow IPC format (which we covered in Chapter 4, Format and Memory Handling)
  • gRPC (https://grpc.io), an open source remote procedure call (RPC) framework built on top of Protocol Buffers for high-performance services

Since we've already covered the Arrow IPC format, let's first quickly look at what gRPC is and how to use it. To do that, we need to talk about APIs.

Building modern APIs for data

We've used the word API a lot already in this book, and most of you are likely at least already conceptually familiar with the idea of an API, but let's quickly define what we're talking about.

While the term Application Programming Interface (API) has been around since at least the 1960s, the scope of what it refers to has broadened considerably. Initially, it was used solely to describe an end user-facing interface, at the time just called application programs...