Big Data

Big data refers to the large, diverse sets of information that grow at ever-increasing rates.

Big data often comes from multiple sources and arrives in multiple formats.
Our practice
LRB development on Core Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively. This book fills the knowledge gap by showing how major companies are using big data every day, from an up-close, on-the-ground perspective.
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LRB has Organised for easy dip-in navigation, each chapter follows the same structure to give you the information you need quickly. For each company profiled, learn what data was used, what problem it solved and the processes put it place to make it practical, as well as the technical details, challenges and lessons learned from each unique scenario.
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Discover how big data is behind the success of Walmart, LinkedIn, Microsoft and more Learn how big data is changing medicine, law enforcement, hospitality, fashion, science and banking Develop your own big data strategy by accessing additional join our development team today to work closely with big data technology in Abu dhabi.
Easy Result Formats

Results are imperative parts of big data analytics model as they support in the decision-making process, that are made to decide future strategy and goals.

Raw data Processing

Data modeling takes complex data sets and displays them in the visual form or diagram or chart.

Prediction apps

The tool should be able to access any system and all related information that may be related to the computer hardware, software or any other individual computer.

Identity Management

Identity management is also a required and essential feature for any data analytics tool.

Reporting Feature

Businesses remain on top with the help of reporting features. Even time-to-time data should be fetched and represented in a well-organized manner.

Security Features

For any successful business, it is essential to save their data. The tools that are used for big data analytics should offer safety and security to the data.

Fraud management

A variety of fraud detection functionalities remain involved in the fraud analytics. Mainly when it comes to the fraud detection activities then it involves various fraud analytics.


Data will not the same all the times but it will grow as your organization is growing.

Quick Integrations

With integration capabilities, this is always easy to share data results with developers and data scientists.

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