Data Management
The DataLakeHouse solution for your analytics needs.
DATA ANALYTICS -- Big Data & Data Management
Our data integration services encompass both ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) approaches for data ingestion into DataWarehouse and DataLakeHouse platforms. We carefully select tools based on information sources, data types, processing speed, and specific needs. Our toolkit includes powerful solutions such as APACHE KAFKA, and more, ensuring effective data integration.
Our comprehensive services include designing, architecting, creating, and ‘hydrating’ Data Lakes. These Data Lakes serve as a centralized ‘Single Source of Truth’ for data storage, enabling efficient data discovery and management. Additionally, we specialize in data engineering, leveraging ML/AI algorithmic models for advanced data processing.
Data Visualization services through tools for creating dynamic dashboards with PowerBI, QuickSight, etc.
Scope of Data Management Services
Seamlessly integrating components and assembling resources demands a deep understanding of Data Lake architectures. It also necessitates the collaboration of cross-functional teams comprising Data Engineers and developers proficient in various programming languages.
Data Management Tools
erwin Data Modeler by Quest is an award-winning data modeling tool used to find, visualize, design, deploy, and standardize high-quality enterprise data assets
erwin FOGLIGHT for database monitoring with AI for behavior prediction and preventive maintenance.
erwin TOAD for the administration of environments with multiple different DBs (IBM DB2, Oracle, MSQL, MySQL, PostgreDB, etc.) where it is required to maintain data flows and integrated queries.
