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Big Data Testing
We get you past the bottlenecks!TM
QA CENTER OFEXCELLENCE SOA SERVICESFDA VALIDATIONFUNCTIONAL
PERFORMANCE AGILEBIG DATASECURITY
AUTOMATION LEGACYCLOUDMOBILE
FUNCTIONAL
QA CENTER OFEXCELLENCE SOA SERVICESFDA VALIDATIONFUNCTIONAL
PERFORMANCE AGILEBIG DATASECURITY
AUTOMATION LEGACYCLOUDMOBILE
FUNCTIONAL
solutions.pyramidci.com 2
Big Data Testing
Overview
Big data is a fast-growing marketplace that is driving demand for
specialized products. These products, in turn, require specialized
testing. Pyramid helps implement testing of massively scalable
solutions for big data infrastructures. Our QA designers bring
innovative new testing solutions to performance, security, and data
quality that provide fast feedback within development iterations.
What is Big Data?
Big data is large-volume unstructured and semi-structured data that
cannot be handled by standard database management systems like
DBMS, RDBMS, or ORDBMS. The components of big data can be
described as Volume, Variety and Velocity.
Velocity: Data moves extremely fast through various sources such as
online systems, sensors, social media, web clickstream capture, and
other channels.
Variety: Data comes from many sources; structured and
semi-structured, as well as unstructured (emails, text
messages, documents, etc.).
Volume: Data size may (but not always) be in the
terabytes to petabytes (and beyond).
Challenges in Big Data testing
Scale: Big data should be quickly and flexibly scalable.
Performance: Big data must move at extremely high
velocities, regardless of scale or database workloads.
Continuous Availability: Big data systems must be
“on” at all times.
Data Diversity: Big data schemas must accommodate a variety of
configurations.
Data Security: Credit card data, personal ID, other secure information
sensitive assets must be secure at all times.
QA Infrastructure: Complex QA infrastructures must be carefully
tailored.
Pyramid Big Data Testing Solutions
Pyramid’s robust Big Data Testing Solutions (BTDS) are built to
mitigate rapidly evolving data integrity challenges and ensure robust
quality assurance processes for big data implementations. To
address dynamic changes in big data ecosystems, Pyramid helps
organizations streamline their processes for data warehouse testing,
performance testing, and test data management.
QA CENTER OFEXCELLENCE SOA SERVICESFDA VALIDATIONFUNCTIONAL
PERFORMANCE AGILEBIG DATASECURITY
AUTOMATION LEGACYCLOUDMOBILE
FUNCTIONAL
QA CENTER OFEXCELLENCE SOA SERVICESFDA VALIDATIONFUNCTIONAL
PERFORMANCE AGILEBIG DATASECURITY
AUTOMATION LEGACYCLOUDMOBILE
FUNCTIONAL
> Performance Testing
> Load Test
> Velocity Testing
> Failover Testing
> Security Testing
> Testing Environment and
Infrastructure Testing
> Best Practices.
> Test Automation
> Test Management
> Compliance with Industry Standards.
> Data Integration Testing
> Extract, Transform, Load
and Quality Testing
> Data Repository Testing
> Analytic Layer Testing
> Reports Validation
> Pre-Hadoop Validation
> Map Reduce Validation
> Source Verification
> Data Warehouse Testing
FUNCTIONAL TESTING
TEST DATA TESTING TOOLS
PYRAMID BIG DATA TESTING SOLUTIONS (BDTS)
NON-FUNCTIONAL TESTING
OTHER SOLUTIONS
BIG DATATESTING
solutions.pyramidci.com 3
Pyramid Advantages
• Big data warehouses are organized into smaller units that are easily
testable, improving test coverage and optimizing big data test sets.
• QA designers perform parallel testing in a distributed environment.
• Test data quality is strengthened by thorough planning, designing,
and infrastructure setup process.
• Big data testing infrastructure requirements are assessed first, then
the infrastructure is designed and implemented.
• QA designer skills include white box testing and data analysis.
• More data is tested faster, using automated testing processes across
various platforms.
• Best-in-class big data testing solutions and strategies deliver more
business value.
• Pyramid brings deep testing experience across platforms, including
Hadoop, MongoDB, Oracle, Teradata, IBM, Microsoft, HortonWorks,
and all of the major vendors, along with flat files and XML.
Pyramid Big Data Testing Approach
Pyramid’s collaborative data testing solution finds bad data and provides a
holistic view of the “health” of a company’s data, ensuring that data extracted
from sources remains intact at the target by analyzing and quickly pinpointing
differences at every touch point.
Big Data Testing
QA CENTER OFEXCELLENCE SOA SERVICESFDA VALIDATIONFUNCTIONAL
PERFORMANCE AGILEBIG DATASECURITY
AUTOMATION LEGACYCLOUDMOBILE
FUNCTIONAL
QA CENTER OFEXCELLENCE SOA SERVICESFDA VALIDATIONFUNCTIONAL
PERFORMANCE AGILEBIG DATASECURITY
AUTOMATION LEGACYCLOUDMOBILE
FUNCTIONAL
Pyramid Consulting Inc. - World Headquarters
11100 Atlantis Place, Alpharetta, GA 30022
Phone: 678.514.3500, Toll Free: 877.248.0024
info@solutions.pyramidci.com
PYRAMID’S COLLABORATIVE
DATA TESTING SOLUTION FINDS
BAD DATA AND PROVIDES A
HOLISTIC VIEW OF THE “HEALTH” OF A
COMPANY’S DATA
LOAD SOURCE
PERFORMANCE MAP REDUCE
EXTRACT OUTPUT
> Pre-Load Process
Validation
> ETL Process Validation
> Validate Input Data File
> Performance Testing
> Security Testing
> Validate Data
Requirement
> Validate Business
Logic Nodes
> Data Quality Testing
> Validate Output
Data File
> Validate Aggregation
and Consolidation
> Validate Data Integrity
> Validate Transformation
Rules
> Validate Data Accuracy
> Reports Testing
> Cube Testing
> Dashboard Testing
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