Converge Any Type of Data

Data Lake

Data silos are a bane for the organisation if you are not able to analyse them together. And once you add unstructured data into the mix and you are talking about giving a splitting headache for the CIOs.

Customer Analytics Reference Architecture for Data

AWS platform provides excellent options to get that data together. However, without a roadmap and plan to ingest that data and structure it in a way for the business users and data scientists to analyse it can lead to catastrophic failures.

Acrotrend’s Data Lake service aims to help you to plan and avoid such failures. Our 7+ years of experience of dealing with data on AWS and working on all relevant technologies, we can design your data lake in tune with your organisation realities.

We can implement the right tools within AWS to get started with the data lake. The right usage of S3 for ingesting all kinds of data and analysis using relevant tools like Athena can give companies relevant insights and ability to take the correct actions


The data lake can further be extended into structuring the data for reporting & analysis into Amazon Redshift.

What are the Benefits?

Converge all your customer data across the organisation into one single area.
Derive value from all types of data – structured or unstructured.
Cost savings as there is no need to structure beforehand and Apply the schema at the point of analysis.

Granular governance across users ensures alignment to privacy regulations across organisation.

Get Results Faster

Accelerator for Data Warehouse Modernisation
Amazon AWS select consulting partner
Snowflake partner. Snowflake is the leading cloud native data warehouse.
Talend partner. Talend's data integration platforms and Stitch solution delivers insight ready data at scale.

Steps to Success

1. Discovery

Determine use case and agree on use case to be developed.

2. Evaluate

Converge your data with a pilot for data lake on AWS.

3. Productionise

Plan & implement the full production data lake.


Our Cloud Data Warehousing services are power by process & technology accelerators like Gap Analysis Framework, readymade migrations to Amazon S3 for, Eloqua & SFMC, Data Integration Framework and Data Lake Quick Deployment Pack for AWS.

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