Big Data Engine
Leveraging Big Data to Empower Business
Navigating the complexities of vast and diverse datasets scattered across multiple locations and formats is a hurdle faced by many organizations today. At the intersection of innovation and practicality, our comprehensive Big Data solution emerges as the key to overcoming these challenges. Drawing upon our extensive expertise in developing successful Big Data projects, we crafted a solution designed to seamlessly enhance your organization’s capabilities in data access and processing.
CODESPHERIC SOLUTION
In an era where data reigns supreme, our cutting-edge approach promises not only to simplify but also to optimize the intricate landscape of managing large datasets. Welcome to a new era of efficiency and precision, where our innovative Big Data solution empowers your organization with the tools needed to unlock the full potential of your data resources.
Codespehric data integration engine supports various standard formats, saving time and reducing costs.
Our proven, ready-to-implement solution guarantees project scalability.
The user-friendly interface empowers individuals without advanced IT skills to work with data efficiently.
BIG DATA AT CODESPHERIC
Step into the future of data management with our cutting-edge solution – a game-changer crafted to revolutionize your approach to diverse data landscapes. Immerse yourself in the Codespheric experience, where challenges spark innovation, and solutions pave the way for unprecedented possibilities.
Unified Data Integration: Seamless integration of data from various sources and formats through our advanced data management engine.
Efficient Data Processing: Streamlined data processing achieved through a user-friendly interface, incorporating SQL-like queries for enhanced efficiency.
Seamless System Integration: Efficient integration with external systems facilitated by comprehensive API control.
Versatile Data Aggregation:The Codespheric engine offers the flexibility to serve as a dynamic data aggregator for seamless incorporation into other solutions.
WHY CHOOSE BIG DATA?
Substantial reduction in project duration.
Cost savings
for the project.
Enhanced scalability
of the solution.
Improved data
quality.
Flexibility to adapt
and expand the solution.
Case studies
1.REAL-TIME ADVERTISING MODULE
FOR AN AD TECH COMPANY
Our Big Data team collaborated to revolutionize business operations by introducing an innovative approach to align the company’s product line with customer expectations. Our tailored solution enables the launch of highly targeted and personalized advertising campaigns, enhancing their effectiveness while optimizing costs.
Thanks to this implementation, the client can effortlessly align products with customer expectations, precisely targeting high-potential clients based on their purchasing behavior.
KEY SYSTEM REQUIREMENTS:
Daily processing of terabytes of data.
Unified architecture catering to diverse business areas.
Linear scalability.
TECHNOLOGY STACK:
Scala
Spark
Hadoop
Flume
Slick
2.REAL-TIME AUCTION ENGINE
Our collaboration involved the design and creation of an advanced real-time auction platform. Operating on an innovative bidding system, auctions are broadcast live online, allowing logged-in participants to place bids in real time.
This dynamic platform boasts a remarkable response performance, ensuring a latency
of no more than 50ms.
KEY SYSTEM REQUIREMENTS:
20,000 requests per second per server.
Linear scalability.
Low latency response (<50ms).
TECHNOLOGY STACK:
Scala
Akka
Spray
Aerospike
Slick
3.BANKING RISK CALCULATION ENGINE
In our collaborative effort to enhance the banking business, we helped implement a new risk calculation engine. This implementation contributed to making better strategic decisions. Recognizing the growing availability and diversity of statistics, we leveraged Big Data analytics
to craft advanced risk management data visualization models.
Our team played a pivotal role in architecting and developing the solution in alignment with the analytical models provided by financial experts. The outcome was a transformative system that significantly reduced calculation time, from approximately 18 hours to just a few minutes.
KEY SYSTEM REQUIREMENTS:
Daily processing of terabytes of data.
Linear scalability.
Unified architecture accommodating multiple business areas.
TECHNOLOGY STACK:
Scala
Spark
Hadoop
Flume
Slick
This project ushered in a transformative era for this leading commercial bank, allowing our client to execute smarter risk mitigation strategies and make more precise strategic decisions in a fraction of the time previously required.
4.GDPR REGULATION IN A BANK BIG DATA ECOSYSTEM
Our collaboration with a leading commercial bank centered on implementing the key principles of the General Data Protection Regulation (GDPR), aimed at empowering consumers with greater control over their personal data collected by businesses. Our Team helped with enforcing limitations and rules governing the duration of customer information retention.
To ensure our client’s compliance with these regulations, we introduced a unified solution working with Big Data storage. This innovative solution’s primary objective was to integrate various applications and streamline the process of managing user data from diverse sources.
KEY SYSTEM REQUIREMENTS:
Execute search and delete operations in terabytes of data.
Handle thousands of requests per hour.
Ensure high reliability.
TECHNOLOGY STACK:
Java
Scala
Hadoop
HBase
Hive
This collaboration resulted in a robust system that met the stringent requirements of GDPR and gave the bank’s clients a sense of security regarding user data management.