April 2015
Beginner to intermediate
194 pages
4h 18m
English
Content preview from Hadoop EssentialsBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Chapter 6. Data Ingestion in Hadoop – Sqoop and Flume
Data ingestion is critical and should be emphasized for any big data project, as the volume of data is usually in terabytes or petabytes, maybe exabytes. Handling huge amounts of data is always a challenge and critical. As big data systems are popular to process unstructured or semi-structured data, this brings in complex and many data sources that have huge amount of data. With each data source, the complexity of system increases. Many domains or data types such as social media, marketing, genes in healthcare, video and audio systems, telecom CDR, and so on have diverse sources of data. Many of these produce or send data consistently on a large scale. The key issue is to manage the data consistency ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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