GitHub - sgdataguru/Big_Data_Workshop: Data engineering is an enabler in helping different business functions to get better insights from data by performing advanced analytics. Data engineering is also an integral part of the new world of big data which ensures effective collection of high quality, consistent and fit for purpose data. For example, data engineering helps financial institutions to improve data quality, accuracy and reliability for financial risk management. Data engineering platform helps retailers make sense of their customer data to optimize their merchandising tactics and personalize customer in-store experience. Manufacturing companies use data engineering to take a deep dive in their inventory and sales data to optimize its inventory management. Without proper data engineering processes in place, businesses would never be able to keep up with the influx of data or obtain reliable results from their analysis.

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Data engineering is an enabler in helping different business functions to get better insights from data by performing advanced analytics. Data engineering is also an integral part of the new world of big data which ensures effective collection of high quality, consistent and fit for purpose data. For example, data engineering helps financial ins…

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Name		Name	Last commit message	Last commit date
Latest commit History 15 Commits
Agenda		Agenda
Assessment Q_A		Assessment Q_A
Database setup		Database setup
Database		Database
Materials		Materials
Notebook/Lab-sql		Notebook/Lab-sql
Pentaho		Pentaho
Slides		Slides
Spark Code		Spark Code
.gitattributes		.gitattributes