Hadoop on AWS

How can we help you?

Scalable, secure and easily deployable solutions for Big data storage , processing  and building deep analytic applications.

With the increase in number of sensors per machine, we had gathered lot of data and it needed to be churned. Mactores with their analytics experts in IoT did it for us. They have an excellent approach to look at the problem and solve them progressively and effectively. We were able to explore unimaginable insights and gained a lot and lowered our operational costs as well.

Mark Phillips
Senior General Manager, Manufacturing Company

Mactores has experience helping customers across many industries use Amazon EMR to securely and confidently process large amounts of data quickly and efficiently. Our team has invested the time and resources into building solutions around Amazon EMR offerings to help run Petabyte-scale analysis for a fraction of the cost of on-premises clusters.  

Be smart about your big data strategy at every stage of your journey. Lean on our experienced experts to help you build real-world Hadoop solutions with leading industry technologies

Enterprise Solutions

Manage your data

We offer strategic options for organizations to engage with our team and quickly leverage expert resources to rapidly accelerate the analytical value of your data.

Data management

Store and process vast quantities of data in a storage layer that scales linearly.

Data Governance & Integration

Quickly and easily load data, and manage according to policy.

Data access

Interact with your data in a wide variety of ways – from batch to real-time.


Address requirements of authentication, authorization, accounting and data protection.

Optimize your data

Design, build the most optimal data flow: from integrating data sources and implement big data applications on Apache Hadoop with the latest open source tools.

Application development

We help you design, build and optimize your big data applications on Apache Hadoop with the latest open source tools.

Solution design

Designing and implementing comprehensive solutions including – hardware infrastructure, data sources, ecosystem software and operation considerations for optimum performance within your environment.


ETL plan includes identifying multiple data sources and file formats, transforming and loading them into data structures best suited for your needs.

Data aggregation

Data aggregation to quickly and accurately consolidate and fuse data from various sources.

Insights for smarter decisions

Assess your business needs, define the business case, and recommend the suitable machine learning methods. Get new insights to make confident decisions in minutes.

Use case discovery

Understand business priorities and data sources available for analytics and identify & roadmap for big data development and training.

Statistical method

Develop right algorithm and statistical model to meet your speed, reliability and maintenance goals.

Data modelling

Transform and structure raw data to create a custom data model for your business needs.

Machine learning

Assess your business needs, define the business case, and recommend the appropriate machine learning methods.

Customer Success

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