AWS | Partnerships | Tiger Analytics

Achieve Centralized Data Management and Agility with a Data Lakehouse on AWS

Disjointed systems and fragmented data leave traditional supply chains vulnerable. Tiger-SCAI, our Supply Chain Intelligence solution, solves this by creating a unified data foundation and applying targeted AI to unlock actionable insights. We prioritize user adoption with a human-centric design and deliver solutions in stages to minimize disruption. This lets you build resilience, agility, and true visibility, one use case at a time.

Achieve Centralized Data Management and Agility with a Data Lakehouse on AWS

Our capabilities

Data ingestion and orchestration

Automate a large part of your effort to ingest data and streamline pipelines with Tiger Analytics’ expertise in AWS Data Migration Service, AWS Transfer Family, AWS Glue, AWS Lambda, Amazon Kinesis Data Streaming, and AWS Data Pipeline.

Data storage

We help you optimize, organize, and configure access to your data with our expertise in Amazon Simple Storage Service, AWS Lake Formation, Amazon Dynamo DB, Amazon Redshift, and Amazon RDS.

Data processing

Add security and speed to your data processing with Tiger Analytics’ expertise in AWS EMR, AWS Glue, Amazon Athena, and Amazon EC2.

Model and serve

Prepare and visualize your data with ML modeling for better insights. We help you do this with our expertise in Amazon QuickSight, Amazon SageMaker, AWS IoT Greengrass, and Amazon Elastic Container Service.

Comsumption and egress

Gain the insights you need in near real-time with our expertise in AWS Glue, Amazon EMR, Amazon Athena, and Amazon Kinesis Data Analytics.

Management and governance

Let Tiger Analytics help you enable fine-grained access control, security, and compliance management with our expertise in AWS Glue Data Catalog, AWS IAM, AWS IAM Identity Center, Amazon CloudWatch, AWS Key Management Services, Amazon Guard Duty, and Amazon Mice.

DevOps

Fully automate your CI/CD deployment pipeline while keeping it flexible with Tiger Analytics’ expertise in AWS CodePipeline, AWS CodeDeploy, AWS CodeBuild, and AWS CodeCommit.

Our solutions

amazon redshift
aws glue
amazon quicksight
amazon emr
aws machine learning

Amazon Redshift

Amazon Redshift

With the applicationsgaining momentum, the amount of data that needs to be analyzed is growing enormously and massively every day. Many business operations are impacted by issues including less scalable systems, an inability to handle different types of structured and unstructured data, higher infrastructre and maintenance costs, etc.

AWS Glue

Businesses now rely on data for analytics, machine learning, decision making, etc. Data is stored and analyzed using a wide range of sources, such as data lakes, data warehouses, etc. The data needs to be processed first before it is loaded into these sources.

Amazon Quicksight

Today’s world depends heavily on data. Making analytical decisions based on the data is a
crucial part of improving and growing the business for many organizations where data is arriving
from diverse sources and producing insightful information.

Amazon EMR

Enterprises today have a large volume of data being produced and collected across various digital touch points. To maximize the value and deliver insights from this large volume of data, there is a need for a solution that can process and deliver interactive analytics and machine learning.

AWS Machine Learning

AWS Machine Learning provides a cloud-based platform for developing and managing Machine Learning (ML) solutions. Their service helps businesses extract insights from data, build models, and deploy ML applications to address operational challenges.