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CASE STUDY
Transforming Data
Management with
Databricks for a
Health & Fitness Club
OVERVIEW
The client is a prominent health and fitness club franchise operating
across 50 countries in over 5,000 locations with more than 3,000,000
members worldwide.
CHALLENGES
US: +1-612-977-1700 www.contata.com
marketing@contata.com
The client’s increasing data volume led
to concurrency challenges during data
read and write operations, affecting data
consistency and operational efficiency.
Complex ETL processes hindered data
processing efficiency, requiring a robust
solution for smooth aggregation in the
Gold layer to streamline analytics and
reporting. Delays in data availability
impacted report generation and
incorporating new data sources was
cumbersome due to rigid schemas,
necessitating a unified platform for
analytics, business intelligence (BI), and
machine learning for flexibility.
• Health & Fitness
INDUSTRY
• Lakehouse
• Reporting
• Machine Learning
SERVICES
• Databricks Lakehouse
• Delta Lake Architecture
• Databricks SQL Warehouse
• Delta Sharing
TECHNOLOGY
US: +1-612-977-1700 www.contata.com
marketing@contata.com
SOLUTION
Contata addressed the challenges by leveraging Databricks. We
implemented Delta Lake as part of its Lakehouse architecture,
combining the best features of data lakes and data warehouses.
Delta Lakehouse
The implementation of Delta Lakehouse ensured schema integrity
on write, addressing the concurrency issue during data read and
write operations. The adoption of the open Delta Parquet file
format facilitated efficient CRUD operations and time travel
features, enhancing the gold layer's aggregation process.
Optimization features like data compaction and caching
significantly improved query performance, contributing to a more
efficient storage system.
Databricks Lakehouse
Utilizing Azure Data Lake Storage Gen2, Databricks Lakehouse
provided a key solution for cost-effective and scalable storage,
addressing challenges related to data accessibility and volume. The
unified analytics platform accommodated structured and semi-
structured/unstructured data, serving as a single platform for
analytics, business intelligence, and machine learning on top of
Delta Lake. The schema-on-read approach ensured enhanced
flexibility, while robust data governance features addressed
stringent security standards, ensuring data integrity.
Unity Catalog
The integration of Unity Catalog simplified metadata management,
aiding in the process of data discovery and maintaining consistent
governance practices. Unity Catalog's integration with Delta
Sharing enhanced secure data sharing, fostering collaboration
across organizations and platforms. Data masking techniques were
also implemented to ensure data security, protecting sensitive
information and complying with privacy regulations.
US: +1-612-977-1700 www.contata.com
marketing@contata.com
About Contata
Contata Solutions is a trusted leader in technology and digital innovation. Through our
work in data engineering, data analytics, machine learning, marketing automation and
app development, we deliver solutions that address complex problems in ways that are
simple, insightful and impactful.
Our promise and value proposition to our customers is simple: we leverage our deep
technical expertise and global presence to bring software products and data-driven
decision capabilities to life.
Founded in 2000, Contata is a privately-held company headquartered in Minneapolis that
serves clients globally from offices in the United States and India.
• Simplified Implementation: Faster data load and pipeline creation
due to the streamlined processes enabled by Databricks and Delta
Lake.
• Seamless Migration: Reporting table code seamlessly migrated
from SQL to Databricks Notebook, ensuring a smooth transition
and continuity in reporting.
• Cost-Effective Solution: Databricks provided a cost-effective and
faster solution compared to ADF + SQL, contributing to financial
savings for the client.
• Versatile Data Storage: Increased ability to store various data
types without concerns about cutting table sizes, enhancing data
storage flexibility and adaptability.
BENEFITS

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Transforming Data Management with Databricks for a Health & Fitness Club

  • 1. CASE STUDY Transforming Data Management with Databricks for a Health & Fitness Club OVERVIEW The client is a prominent health and fitness club franchise operating across 50 countries in over 5,000 locations with more than 3,000,000 members worldwide. CHALLENGES US: +1-612-977-1700 www.contata.com marketing@contata.com The client’s increasing data volume led to concurrency challenges during data read and write operations, affecting data consistency and operational efficiency. Complex ETL processes hindered data processing efficiency, requiring a robust solution for smooth aggregation in the Gold layer to streamline analytics and reporting. Delays in data availability impacted report generation and incorporating new data sources was cumbersome due to rigid schemas, necessitating a unified platform for analytics, business intelligence (BI), and machine learning for flexibility. • Health & Fitness INDUSTRY • Lakehouse • Reporting • Machine Learning SERVICES • Databricks Lakehouse • Delta Lake Architecture • Databricks SQL Warehouse • Delta Sharing TECHNOLOGY
  • 2. US: +1-612-977-1700 www.contata.com marketing@contata.com SOLUTION Contata addressed the challenges by leveraging Databricks. We implemented Delta Lake as part of its Lakehouse architecture, combining the best features of data lakes and data warehouses. Delta Lakehouse The implementation of Delta Lakehouse ensured schema integrity on write, addressing the concurrency issue during data read and write operations. The adoption of the open Delta Parquet file format facilitated efficient CRUD operations and time travel features, enhancing the gold layer's aggregation process. Optimization features like data compaction and caching significantly improved query performance, contributing to a more efficient storage system. Databricks Lakehouse Utilizing Azure Data Lake Storage Gen2, Databricks Lakehouse provided a key solution for cost-effective and scalable storage, addressing challenges related to data accessibility and volume. The unified analytics platform accommodated structured and semi- structured/unstructured data, serving as a single platform for analytics, business intelligence, and machine learning on top of Delta Lake. The schema-on-read approach ensured enhanced flexibility, while robust data governance features addressed stringent security standards, ensuring data integrity. Unity Catalog The integration of Unity Catalog simplified metadata management, aiding in the process of data discovery and maintaining consistent governance practices. Unity Catalog's integration with Delta Sharing enhanced secure data sharing, fostering collaboration across organizations and platforms. Data masking techniques were also implemented to ensure data security, protecting sensitive information and complying with privacy regulations.
  • 3. US: +1-612-977-1700 www.contata.com marketing@contata.com About Contata Contata Solutions is a trusted leader in technology and digital innovation. Through our work in data engineering, data analytics, machine learning, marketing automation and app development, we deliver solutions that address complex problems in ways that are simple, insightful and impactful. Our promise and value proposition to our customers is simple: we leverage our deep technical expertise and global presence to bring software products and data-driven decision capabilities to life. Founded in 2000, Contata is a privately-held company headquartered in Minneapolis that serves clients globally from offices in the United States and India. • Simplified Implementation: Faster data load and pipeline creation due to the streamlined processes enabled by Databricks and Delta Lake. • Seamless Migration: Reporting table code seamlessly migrated from SQL to Databricks Notebook, ensuring a smooth transition and continuity in reporting. • Cost-Effective Solution: Databricks provided a cost-effective and faster solution compared to ADF + SQL, contributing to financial savings for the client. • Versatile Data Storage: Increased ability to store various data types without concerns about cutting table sizes, enhancing data storage flexibility and adaptability. BENEFITS