• Home  >  
  • AWS  >  
  • Amazon EMR  
services-bg

A Big Data Platform

Industry-leading cloud big data solution

services-bg

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.

Amazon EMR is the leading cloud big data solution for processing vast amounts of data, delivering 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 analyze large volumes 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 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.

Amazon EMR is the leading cloud big data solution for processing vast amounts of data, delivering 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 analyze large volumes 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.

Features of Amazon 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 Amazon 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
Use Cases for EMR
01
Perform Big Data Analytics

Large-scale distributed data processing jobs, interactive SQL queries, and machine learning applications

02
Build Scalable Data Pipelines

Extraction of data from various sources and data processing

03
Process Real-time Data Streams

Real-time analysis to create long-running, highly available, streaming data pipelines.

04
Accelerate Data Science and ML Adoption

Supports open- source ML frameworks such as Apache Spark MLlib, TensorFlow, and Apache MXNet.

Our Accelerators

  • AWS Self-service Data Lake Management
  • Great Expectations – Data Quality Framework

AWS Self-service Data Lake Management

strength
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 Amazon EMR thereby enabling quick onboarding of analytics and ML use cases.

Great Expectations – Data Quality Framework

strength
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.

Copyright © 2024 Tiger Analytics | All Rights Reserved