CLOUD DATA AND ANALYTICS
New capabilities, improved speed, and
increased scale are all possible with cloud native data and analytics. Using
cloud native data and analytical services from AWS, GCP, Azure, and Snowflake,
we assist in the development of Enterprise Data warehouse (EDWs) , data lakes,
and analytical platforms.
We assist in
the development of data ingestion, dependable data pipelines, data warehouses,
data lakes, and sophisticated analytics on all major cloud platforms, utilizing
CSP-provided cloud native data and analytics services. We also have AI models
on the marketplace that have been pre-trained (BFS and Healthcare).
Data Warehouse
We make it
easier for you to get fresh insights from petabytes of data by creating a
scalable, cost-effective cloud data warehouse that delivers actionable insights
faster.
Our Data
Warehouse capabilities span across –
v Amazon Redshift
v BigQuery
v Azure Synapse Analytics
Data Lake
Simplify the
Management and administration of different data types from a range of
sources, as well as the creation and execution of large-scale data
transformation projects in the cloud.
Our Expertise
Includes:
v Amazon EMR, AWS Lake Formation
v Cloud Dataproc (Fully-managed Apache
Spark and Apache Hadoop Service)
v Azure Databrick / Data Lake Store
Artificial Intelligence (AI) / Machine
learning (ML)
Integrate AI
and machine learning into the heart of the business to empower organizations
with better decision-making and enhanced procedures, as well as to find new
prospects for success across all business areas.
Our expertise
includes –
v Amazon SageMaker
v AutoML, BigQuery ML, Cloud AI
v Azure Machine Learning
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