AWS EMR

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.

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

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.

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.

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