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You've made the move to MongoDB for its flexible schema and querying capabilities in order to enhance agility and reduce costs for your business. Shouldn't your data quality process be just as organized and efficient? Using QuerySurge for testing your MongoDB data as part of your quality effort will increase your testing speed, boost your testing coverage (up to 100%), and improve the level of quality within your data warehouse. QuerySurge will help you keep your team organized and on track too!
Citation preview
Webinar:automating the data testing
for
Bill HaydukCEO, President
RTTS
Jeff Bocarsly, PhDVP & Chief Architect
RTTS
Presenters
Ensuring MongoDB Data Quality
built by
QuerySurge ™
About FACTS
Software:developer of QuerySurge
Founded: 1996
Locations:
New York (HQ), Atlanta, Philadelphia, Phoenix
Primary expertise:Software quality & testing services and solutions
Customer profile:Fortune 1000 & mid-size> 600 customers
Strategic Partners:IBM, Microsoft, HP, Oracle, Teradata, HortonWorks
RTTS is the leading provider of software quality for critical business systems
about
built by
QuerySurge ™
What is MongoDB?
Name: MongoDB (from "humongous")
1NoSQL means now “not only SQL” 210gen changed its name to MongoDB, Inc.
Source: Wikipedia
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QuerySurge ™
• classified as a NoSQL1 database • does not implement the table-based relational db structure• cross-platform document-oriented database• makes the integration of data in certain types of apps easier & faster• free and open source• originally built by 10gen2 and released in 2009
“MongoDB is in 5th place as the most popular type of database management system, and 1st place for NoSQL database management systems.”
April 2014
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QuerySurge ™
• Online real-time processing• Data set is smaller• Measured in milliseconds
• Offline big data processing• Offline analytics• Measured in minutes & hours
MongoDB versus Hadoop
Source: classpattern.com
When use MongoDB? / When use Hadoop?
MongoDB Use Cases
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QuerySurge ™
Source: MongoDB, Inc.
Data Warehouse Batch Aggregation
ETL from MongoDB
ETL to MongoDB
Use Cases: Data Warehouse
Relational DB & Data Warehousing
Source Data
@
BI, Analytics & Reporting
built by
QuerySurge ™
Ingestion
Data Quality Issues
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QuerySurge ™
Data Quality Best Practices boost revenue by 66%.
The average organization loses $8.2 million annually through poor Data Quality.
46% of companies cite Data Quality as a barrier for adopting Business Intelligence products.
80% of organizations… will underestimate the costs related to the data acquisition tasks by an average of 50 percent.
News Headlines
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QuerySurge ™
Validating Data: 3 Big Issues
- need to verify more data and to do it faster
- need to automate the testing effort
- need to be able to test across different platforms
Need a testing tool!
built by
QuerySurge ™
What is QuerySurge ™?
a collaborative data testing tool that
finds bad data & provides a holistic view of your
data’s health
Data Testing
built by
QuerySurge ™
Improve the Health of your Data
• Reduce your costs & risks
• Improve your data quality
• Accelerate your testing cycles
• Share information with your team
with QuerySurge ™ you can:
built by
QuerySurge ™
Teamwork
Testers - functional testing - regression testing- result analysis
Developers - unit testing- result analysis
Data Analysts- review, analyze data - verify mappings & failures
Operations teams - monitoring- result analysis
Managers- oversight- result analysis
Share information on the health of your data
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QuerySurge ™
QuerySurge™ Architecture
Web-based Installs on...
Linux
Connects to…
built by
QuerySurge ™
…any JDBC compliant data source
Finding Bad Data
SQL
SQL
SQL
SQL
SQL
SQL
QS pulls data from data source(s) QS pulls data from data target(s) QS compares data in seconds QS generates reports, audit trails
How?
reports
built by
QuerySurge ™
Use Case: DWH & Automated Data Testing
Relational DB & Data Warehousing
Source Data
@
BI, Analytics & Reporting
Ingestion
built by
QuerySurge ™
Value-Add
QuerySurge provides value by either:
in testing data coverage from < 1% to upwards of 100%
in testing time by as much as 1,000 x
combination of in test coverage while in testing time
17built by
QuerySurge ™
Return on InvestmentQuerySurge provides an increase in better data due to shorter / more thorough testing cycle - saving $$$.
18built by
QuerySurge ™
Pharmaceutical Organization Saves $288,000 in Clinical Trials Data Migration Testing Project
1Since 2010, the pharmaceutical industry has been assessed over $13 billion in fines.
Source: wikipedia http://en.wikipedia.org/wiki/List_of_largest_pharmaceutical_settlements
This savings does not include savings from avoiding fines from regulatory bodies or lawsuits.1
Total Savings
built by
QuerySurge
built by
QuerySurge ™
Jeff Bocarsly, PhDVP & Chief Architect
RTTS
• Release date: Sept 22nd
• We will email all registrants• If you have an immediate need, contact us.
We can set you up manually for a trial now.
release
Contact us if your team would like:
(1) a Trial in the Cloud, including self-learning tutorial that works with sample data (3 days) or
(2) a downloaded Trial of QuerySurge, including self-learning tutorial with sample data or your data (15 days) or
(3) a Proof of Concept of QuerySurge, including a kickoff & setup meeting and weekly meetings with our team of experts (30 days)
http://www.querysurge.com/compare-trial-options for more information, Go here
QuerySurge
built by
QuerySurge ™
TRIAL IN THE CLOUD