Cloud Transformation

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Cloud Data & Analytics

Cloud native data and analytics enable new capabilities, improve performance, and increase scale at a reduced cost. We help in building EDW, data lakes, and analytical platforms using cloud native data and analytical services offered by AWS, GCP, Azure and Snowflake.

We help build data ingestion, reliable data pipelines, data warehouses, data lakes, and advanced analytics on all leading cloud platforms leveraging the cloud native data and analytics services offered by CSPs. Also, we have pretrained AI models (BFS and Healthcare) in the marketplace.

Data Warehouse

We simplify your ability to gain new insights from petabytes of data by building a scalable, and cost-effective cloud data warehouse to deliver actionable insights quicker.

Our DW capabilities span across –

Amazon Redshift

BigQuery

Azure Synapse Analytics

Data Lake

Simplify management of multiple data types from a wide variety of sources and easily build and run large scale data transformation programs on the cloud.

Our expertise include –

Amazon EMR, AWS Lake Formation

Cloud Dataproc (fully-managed Apache Spark and Apache Hadoop service)

Azure Databricks/Data Lake Store



WAY OF WORK

Check out our work process and our way of work

1

Choose a service

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Request a meeting

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3

Receive custom plan

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Let’s make it happen



WHAT WE DO

Check out our work process and our way of work

1

Find new ideas

A similar difference exists for those in the habit of generating new ideas and those who aren't.

2

Digital analysis

It provides a clear vision to the organization on how users or customers are behaving.

3

Marketing research

Market research is an organized effort to gather information about target markets and customers

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4

Product creative

Creativity is an essential skill for the 21st Century that is innate in all people and can be nurtured.

5

Product Analysis

Product analysis involves examining product features, costs, availability, quality, appearance and other aspects.

6

Get the output

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