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Have you ever wondered about different types of DDL Commands in Apache Hive? That's what we are going to discuss in this article.
In this guide, get a chance to explore the data warehouse using hive query language in details. If you're a beginner, follow through us.
In this article, we will understand in depth about how to briefly get into the world of Big Data & hadoop.
In this article, we will discuss everything about HDFS. Its name nodes and data nodes and different use cases of HDFS.
Performance tuning is an essential part of running hive queries as it helps in reducing the time and increase the efficiency of the code.
This article is focused on Apache Pig. It is a high-level platform for processing and analyzing a huge amount of data Also known as Big Data.
Hive is the replica of relational management tables in the Hadoop ecosystem. Learn about hive storage structure in this article.
In this blog, we will see how we can integrate the Big Data tools like Hadoop with Python which makes data processing easier and faster.
Tools for handling large datasets in data engineering, such as Apache Hive built on Hadoop. Discover its ease of use, ACID support, and more.
Partitioning and bucketing in Hive are storage techniques to get faster results for the search queries. Learn about bucketing vs partitioning
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