Date post: | 28-Jul-2015 |
Category: |
Technology |
Upload: | lohith-gn |
View: | 132 times |
Download: | 2 times |
© 2015 Progress Software Corporation. All rights reserved.2
About me
• B.Tech from Pondicherry Engineering College, Pondicherry, India– 2010
• Software Engineer - Cordys Software (now OpenText Cordys) from 2011 – 2014
• Progress Hyderabad(2014 – Present). Part of the Easyl WebUI team.
• Primarily interested in web technologies like AngularJS, Bootstrap, ExtJS etc
© 2015 Progress Software Corporation. All rights reserved.3
Business Intelligence
This is what I have This is what I want
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Why is this so hard?
Data preparation can also involve enriching data.
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How can Data Preparation Be Performed
• Manual “Brute Force” Data Preparation
• Data Preparation through Large IT Projects
• Technology Solutions
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Manual “Brute Force” Data Preparation
Manual Exports
Manual Joins and Filters
Master List
Shared via email
Shared via Dropbox
Limitations With This Approach
• Every report starts from scratch
• Each export can reset the process
• Time intensive joins and filters
• No governance on sharing
• Reliance on other departments
• Not repeatable, not scalable
© 2015 Progress Software Corporation. All rights reserved.8
Data Preparation through Large IT Projects
• Large-scale IT projects can automate the handling of data before it goes into BI
• Involves creating “data marts” or “data warehouses.”
• Software developers and database administrators collaborate.
• Extremely fast after the initial setup.
• Initial setup can cost hundreds of thousands of dollars.
© 2015 Progress Software Corporation. All rights reserved.9
Data Preparation through Large IT Projects
• Large-scale IT projects can automate the handling of data before it goes into BI
• Involves creating “data marts” or “data warehouses.”
• Software developers and database administrators collaborate.
• Extremely fast after the initial setup.
• Initial setup can cost hundreds of thousands of dollars.
© 2015 Progress Software Corporation. All rights reserved.10
Technology Solutions
• It is in between the manual and project approach.
• New generation of data preparation tools.
• Quick and accurate without large investment.
• Collaborative approach between data analysts line-of-business decision-makers, and
systems administrators.
• Data preparation tools require new skill sets and a learning curve.
• Example : Easyl DataBlender
© 2015 Progress Software Corporation. All rights reserved.11
How Easyl Solves
Cloud Data Mart
On-premise Data
OpenEdge
SQL ServerBig Data
Union and Filter
Quality and
Enrich
Produce View
ODBC/JDBC
Publish as Excel
Easyl Gallery Dropbox-like report sharing
Favorite Dashboard or BI Tool For You or
Your Customer
SaaS Data