We provide a wide range of services

We bring Subject Matter Expertise in Cloud Computing 
Internet of Things Data Pipeline 
Machine Learning Data Pipeline 
Enterprise Data Integration 
Cloud Database Solutions 
AWS Backend Mobile Solutions 
Server Consolidation via Containerization 
Cloud Infrastructure Services 
| 12 Factor
aws

WE BRING SUBJECT MATTER EXPERTS IN CLOUD COMPUTING

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Internet of Things Data Pipeline
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Machine Learning Data Pipeline
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Enterprise Data Integration
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Cloud Database Solutions
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AWS Backend Mobile Solutions
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Server Consolidation via Containerization
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Cloud Infrastructure Services

AWS Cloud Services

Enterprise Data Lake

Bringing your corporate data to the cloud is the first important step. Data can be stored and retired in specialized data stores based on its type, no longer constrained by single RDBMS.

IoT Data Pipeline

AWS offers a rich set of features for IoT data pipeline, starting with Real Time OS, Edge computing, securely managing devices, MQTT bi-directional messaging, Real time transformations to KPI dashboard.

ML Data Pipeline

As always ML projects involve 70% data pipeline and 30% model development. AWS Sagemaker is a great tool to kickstart many ML solutions, its openness to TensorFlow is fully complimentary.

Data Integration

Data is scattered across systems. Key Digital Transformation activity is about bringing data to the cloud. Leverage Talend simi open source solutions and Databricks PySpark to process data.

Database Solutions

You are not constrained with a single RDBMS database for all types of data. By moving to AWS cloud, data can be stored and retrieved optimally with the right data store, No-SQL, SQL, Hive Tables, Network, Document DBs etc.,

Data Warehousing

Amazon Redshift, if it is carefully design can be a great solution for data warehousing, its MPP architecture can distribute query workload across servers. Leverage Tableau for visualization.

Mobile Backend

Bringing your corporate data to the cloud is the first important step. Data can be stored and retired in specialized data stores based on its type, no longer constrained by single RDBMS.

Containerization

Bringing your corporate data to the cloud is the first important step. Data can be stored and retired in specialized data stores based on its type, no longer constrained by single RDBMS.

Cloud Infrastructure

Bringing your corporate data to the cloud is the first important step. Data can be stored and retired in specialized data stores based on its type, no longer constrained by single RDBMS.

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