Creating Agile Data Warehouse and Analytics in the Cloud– Customer (KMG Chemicals) Case Study

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Creating Agile Data Warehouse and Analytics in the Cloud– Customer (KMG Chemicals) Case Study

Duration
59 minutes

Date
August 31, 2018

Presenters
Frikkie Koen
SAP Solutions Lead, KMG Chemicals

Gopal Krishnamurthy
Founder/CEO, Visual BI Solutions

Short Description
In this webinar recording, we, along with our customer Frikkie Koen, SAP Solution Lead- KMG Chemicals, take you through the customer’s outlook of Data warehousing in the Cloud to gain insight from best practices implemented.

Why Data Warehousing and Data Lakes in the cloud?

Our Customer, Frikkie Koen, SAP Solution Lead- KMG Chemicals, joins Visual BI in explaining how to establish a cloud-based data warehouse that can handle the volume, velocity, and variety of types of data associated with Big Data. We take you through the customer’s outlook of Data warehousing in the Cloud to gain insight from best practices implemented. Also, to explore how running an SAP HANA enterprise data warehouse (EDW) in the SAP Cloud Platform enables low-cost and agile data management.

Watch this webinar replay to learn more on:

  • Data Warehouse (ETL) vs Data Lakes (ELT) and why data in various forms makes Cloud Platform a necessity
  • Agile Data Warehouse & Data Lakes in the Cloud (SCP)
  • How scalable is HANA Data Warehouse in the Cloud (SCP)?
  • Is SAP Analytics Cloud (SAC) Mature? Business adoption strategies for SAC
  • Journey of KMG’s Chemicals with Visual BI in executing bleeding edge cloud-based implementation
  • Interactive Q&A on Cloud Analytics Strategy and Challenges

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