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In this article, we will explore partitioning and bucketing in Hive and how they can be implemented using HQL.
In this article, you will learn about Apache Hive and its advantages and benefits in the world of big data.
In this article, you will learn about the Apache Pig in details and analyze any type of data present in HDFS.
In this article, learn about the role of data engineering which is to design the pipeline in a way that we acquire the data without any loss.
In this article, you will learn to store a huge amount of data using Google Big Query to gain useful insights from the collected data.
We will look at the basics of how Apache Kafka handles streaming data through some coding exercises with Kafka-Python.
AWS S3, is an Object Level Storage service where the idea is to store different file types in a bucket and access them independently.
A big Query data warehouse provides global availability of data, can be connected to the other Google Services.
In this article we will be understanding about the apache pig, all about their high level data flow platform
In this article, you will learn how to build an ETL data pipeline to convert a CSV file into JSON File with Hierarchy and array.
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