Our Portfolio of Analytics Services

Choose the right service to prioritize solutions to address your business challenge

Datawarehouse Migrations

Data warehouse migration to the cloud is the process of moving an organization's data warehouse from an on-premises or legacy IT system to a cloud-based infrastructure. The process involves moving the data, the database, and the processing from the current environment to a cloud-based platform such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).

The key objectives of data warehouse migration to the cloud are to:

Improve scalability as cloud provide separation of compute vs storage
Enhance performance with latest hardware
Increase flexibility with many application integration
Reduce costs

The data warehouse migration to the cloud process typically involves several key steps:

Assessing the current environment using our profilers
Identifying cloud solutions
Developing a migration strategy
Preparing for migration
Executing the migration
Post-migration testing and validation

Data & Analytics Pipelines

Data and Analytics pipelines are systems that automate the flow of data from its source to its destination, where it can be transformed, analyzed, and visualized. Pipelines can be used for a wide range of data and analytics processes, including data integration, data cleansing, data transformation, data warehousing, and machine learning.

The key benefits are:

Automate the data flow process
Improve data quality
Facilitate collaboration
Enhance data security
Enable real-time data processing

Tools we use:

Apache Airflow
Apache Kafka
AWS Glue
Microsoft Azure Data Factory
Google Cloud Dataflow
Databricks workflows

Business Intelligence

Our Business Intelligence (BI) services are a set of consulting services that help organizations design, implement, and optimize their BI systems. BI systems are used to collect, analyze, and present data in a way that helps organizations make data-driven decisions and drive business value.

Our services include:

Data Strategy Development
Data Architecture Design and Implementation
Data Integration and Management
Data Analysis and Visualization
BI Platform Implementation
BI Reporting and Dashboard Design
BI Performance Optimization

Hadoop Migration to Cloud

Hadoop is a popular open-source software framework for storing and processing large amounts of data across clusters of commodity hardware. Databricks, on the other hand, is a unified analytics platform that provides a suite of tools and services for building and managing data pipelines, data warehousing, machine learning, and business intelligence.

If you are considering migrating your Hadoop environment to Cloud, here are some key steps we can help with:

Analyis of current environment for migration feasibility
Planning the architecture for data ingestion, processing and transformation pipelines
Migrate data from Hadoop to Cloud storage and ensure format/schemas are correct
Test and validate target ETL pipelines
Optimize target environment to eliminate redundancies