Data Infrastructure, Data Pipeline and Analytics – Reading List – Sep 20, 2016

Hadoop architectural overview
An Excellent series of posts – talking about Hadoop and Related components, Key metrics to monitor in Production
https://www.datadoghq.com/blog/hadoop-architecture-overview/
Surviving and Thriving in a Hybrid Data Management World
The vast majority of our customers who are moving to cloud applications also have a significant current investment in on premise operational applications and on premise capabilities around data warehousing, business intelligence and analytics. That means that most of them will be working with a hybrid cloud/on premise data management environment for the foreseeable future.
http://blogs.informatica.com/2016/08/19/surviving-thriving-hybrid-data-management-world/#fbid=dlbfZB7A1Sd
Data Compression in Hadoop
File compression brings two major benefits: it reduces the space needed to store files, and it speeds up data transfer across the network or to or from disk. When dealing with large volumes of data, both of these savings can be significant, so it pays to carefully consider how to use compression in Hadoop.
http://comphadoop.weebly.com/
 What is “Just-Enough” Governance for the Data Lake?
Just-enough governance is similar to the Lean Startup methodology concept of building of a Minimum Viable Product (MVP). From an enterprise perspective, just-enough governance means building only the process and control necessary to solve a particular business problem.
https://infocus.emc.com/rachel_haines/just-enough-governance-data-lake/
Mind map on SAP HANA
https://www.mindmeister.com/353051849/sap-hana-platform
Should I use SQL or NoSQL?
Every application needs persistent storage — data that persists across program restarts. This includes usernames, passwords, account balances, and high scores. Deciding how to store your application’s important data is one of first and most important architectural decisions to be made.
https://www.databaselabs.io/blog/Should-I-use-SQL-or-NoSQL
Happy Learning!

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