contact@abzooba.com
Get In Touch
Why Abzooba
Industries
Retail
Advanced Analytics
Big Data and Cloud
Healthcare
Advanced Analytics
Big Data and Cloud
BFSI
Advanced Analytics
Big Data and Cloud
Others
Advanced Analytics
Big Data and Cloud
Technology
Big Data and Cloud
Advanced Analytics
Partners
Platform
xpresso.ai
Olive
Pine
Resources
10th Anniversary
COVID-19
Case Studies
Advanced Analytics
Retail
BFSI
Healthcare
Others
Big Data and Cloud
Retail
BFSI
Healthcare
Others
Blogs
White Papers
News & Events
Videos
AASTHA – Our Responsibility
Olive
Olive – Product Information
Olive – Product Information for Azure Marketplace
Home
>
Data Ingestion Framework
Case Study: Retail
Data Ingestion Framework
Client
For a US based multinational retail corporation
Business Problem
Our client wanted to
ingest data from
multiple RDBMS sources
They also wanted to develop an
ingestion framework to load data into
Hadoop environment
Abzooba’s Solution:
Batch processing framework to ingest the data from different sources to a managed data lake
ELT framework abstracting the complexity of process on Hadoop platform
Automic for scheduling and monitoring the orchestrated jobs(workflow)
Data is transferred from the source using Sqoop connecter for RDBMS, TDCH connector for Teradata and files are processed using Hadoop/HDFS
Hive with the powerful Tez engine is used for processing the files in HDFS
Business Benefits:
Improve developer productivity
Faster and error-free data movement from source to target
Unified customer view by ingestion of customer and sales data
Tech Stack