June 25, 2021
Introduction
The weather in Vancouver is so hot, and I was so busy with NOK stock and sold 3000 shares this morning with gains around $1500 dollars. I like to work on my favorite Hadoop, and spend time to read books, and rush to complete so many projects related to data structure and algorithm, and also applications related to C#, SQL server.
Reading content
Programming Hive introduces Hive, an essential tool in the Hadoop ecosystem that provides an SQL (Structured Query Language) dialect for querying data stored in the Hadoop Distributed Filesystem (HDFS), other filesystems that integrate with Hadoop, such as MapR-FS and Amazon’s S3 and databases like HBase (the Hadoop database) and Cassandra.
Most data warehouse applications are implemented using relational databases that use SQL as the query language. Hive lowers the barrier for moving these applications to Hadoop. People who know SQL can learn Hive easily. Without Hive, these users must learn new languages and tools to become productive again. Similarly, Hive makes it easier for developers to port SQL-based applications to Hadoop, compared to other tool options. Without Hive, developers would face a daunting challenge when porting their SQL applications to Hadoop.
Still, there are aspects of Hive that are different from other SQL-based environments. Documentation for Hive users and Hadoop developers has been sparse. We decided to write this book to fill that gap. We provide a pragmatic, comprehensive introduction to Hive that is suitable for SQL experts, such as database designers and business analysts.
We also cover the in-depth technical details that Hadoop developers require for tuning and customizing Hive.
You can learn more at the book’s catalog page (http://oreil.ly/Programming_Hive).
No comments:
Post a Comment