Canada
Puerto Rico
USA
Belgium
France
UK
India
Client Background
As a globally recognized leader in ready-to-assemble furniture, kitchen appliances, and home accessories, this European retailer operates with a strong presence across international markets.
Client Need
Despite having access to vast amounts of customer data ranging from website clickstream analytics and social media interactions to in-store transactions, the company faced several challenges, including:
Data Fragmentation: Information was scattered across numerous platforms such as relational databases, brick-and-mortar sales records, and different social media channels
Scalability Issues: Their existing system couldn’t efficiently manage or process the increasing volume of data
Limited Data Utilization: Without a unified data strategy, it was difficult to gain meaningful insights and personalize customer engagement
Solution
Our team designed and implemented cost-effective, high-performance data architecture to streamline data processing, storage, and analysis, including:
Data Lake Integration: A data lake built on the Hadoop cluster enables consumption across multiple applications
Data Lake Security & Access Control: Kerberos authentication secures data while Apache Ranger establishes comprehensive authorization rules to manage user access and auditing
Multi-Format Data Processing: The Hortonworks Data Platform 2.4 pulls and stores data in HDFS as ORC files from semi-structured, unstructured, and relational formats
Low-Cost, High-Availability Storage: Storage solutions built on a Hadoop environment ensure cost-effectiveness and high availability
Real-Time Analytics Data Pipeline: A real-time data pipeline incorporates Oozie, Pig, Hive, and Python for data cleaning, storage, and notifications
Realized Benefits
Seamless structured and unstructured information integration by leveraging unified data storage and processing
Efficiently managed large-scale datasets via a scalable, Hadoop-based infrastructure
Accelerated data processing and reporting with real-time analytics
Simplified system maintenance with a highly available infrastructure
Optimized resource allocation with a single, scalable system for storage and processing
Tools & Technologies
Hadoop
Hive
Oozie
Hortonworks Data Platform
Apache Ranger
Pig
Python
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