Enterprises across the globe have always generated a huge amount of data. Unfortunately, till today, mature tools and technologies did not exist which could be leveraged to optimize and transform the data into useful business information
Our team of experienced Data Engineers help create high-performance infrastructure and data pipelines which optimize your data and help you make better business decisions
Our Data Engineering Services
Data Architecture
Data architecture deals with the design and implementation of the rules, and models related to the mechanism of data collection, storage, usage and management
Data Preparation
This phase deals with the process of preparing raw data so that it is usable for further processing
- Build ETL (Extract, Transform, Load) services
- Load data into the data models
Data Pipelines
This deals with the tools and processes involved in automating the data movement and transformation between repositories
- Design, implement end-to-end real-time and batch data pipelines
- Build data integration & maintenance services
- Build data standardization services
Data Lake Implementation
This deals with the building of repository required to store, and process large amounts of structured, semi-structured and unstructured data in a secure manner
- Build Data Lakes and Data Warehouses
Report
The final phase deals with the most efficient ways of communicating the summary of the research and analysis using data visualization tools
- Data Reporting
- Data Visualization
- Business Intelligence
- Decision Making
Tools and Technologies
Cloud Toolset
- Analytical Databases: Big Query, Redshift, Synapse
- ETL: Databricks, DataFlow, DataPrep
- Scalable Compute Engines: GKE, AKS, EC2, DataProc
- Process Orchestration: AirFlow / Composer
- Platform Deployment & Scaling: terraform, custom tools
Open Source
- Hadoop distributions: Cloudera, Hortonworks, MapR
- Hadoop tools: hdfs, hive, pig, spark, flink
- NoSQL Databases: Cassandra MongoDB, Hbase, Phoenix
- Process Automation: Oozie, Airflow
Visualisation Tools
- Tableau
- Data Studio
- D3.js
Programming
- Python: pandas, spark, pyspark
- Scala, Java
- SQL, T-SQL, H-SQL, PL/SQL
Retail
Insurance
Healthcare
Life Sciences
Investment Banking
Subject Matter Experts
360 degree perspective
Experienced team
Consulting mindset
