Enterprises today have large volume of data being produced and collected across various digital touch points. To maximise the value and deliver insights from this large volume of data, there is a need for solution that can process and deliver interactive analytics and machine learning. Amazon EMR is the leading cloud big data solution for processing vast amounts of data, deliver interactive analytics, and machine learning using open-source frameworks such as Apache Spark, Apache Hive, and Presto. Amazon EMR is a managed cluster platform that simplifies running big data frameworks, on AWS to process and analyse large volume of data. With more than 100+ certified AWS experts, Tiger Analytics has successfully implemented Amazon EMR and other AWS services for multiple customers across various industries.
Use Cases for EMR
Perform Big Data Analytics
Process Real-time Data Streams
Build Scalable Data Pipelines
Accelerate Data Science and ML Adoption
Features of EMR
Easy to Use and Low Cost
Amazon EMR simplifies building and operating big data environments and applications. It also designed to reduce the cost of processing large volume of data.
Highly Scalable and Elastic
With AWS EMR, capacity can be easily and quickly provisioned as per need and can be added or removed as per need.
Flexible Data Stores
With Amazon EMR, multiple data stores can be leverage like Amazon S3, HDF, and Amazon DynamoDB.
Support for Big Data Tools
Amazon EMR supports Apache Spark, Apache Hive, Presto, and Apache HBase.
Reliable Security
Through Amazon EMR security configurations encryption can be done at-rest and in-transit.
Our Accelerators
AWS Self-Service Data Lake Management
Provides end to end capability right from Data Ingestion, Data Quality and transformation capabilities required for a Data Lake. Accelerates data movement from source systems into AWS EMR thereby enabling quick onboarding of analytics and ML use cases.
Great Expectations – Data Quality Framework
Open-Source framework for Data Quality. It is highly configurable with table & field level rules, integrated with Airflow and monitoring tools.
Accelerate Innovation using
Tiger’s AI & Advanced
Analytics Solutions
Case Study
Enabling media and entertainment company, to ingest and process large volumes of data from different data sources and transform them into consumable format using AWS EMR. The solution was used to power the dashboards with insights to the business teams.
For a global manufacturing company, AWS EMR was used to deliver fast, fault-tolerant, and scalable solution. Data from across 20+ ERP systems were integrated and productionized to deliver a single view of all the data.
