Big Data Analytics

Turn your big data into vital insights to transform your business

Organizational Data is getting very big and complex, which means organizations are in danger of falling behind if they are unable to manage big data. Organizations must apply proper data governance mechanisms to their enterprise data which would ensure data visibility. At Hyperbeans, we provide BigData analytics solutions that can examine large amounts of data and uncover a lot of insight for you.

Data is coming at an exponentially increasing rate, from an explosion of data sources. But the amount of time you have available to do something with that data is shrinking. Develop a big data strategy to realize fast business outcomes — our experts, partners, and technology can help you succeed in a data-driven world.

We are trying our best to provide innovative and scalable BigData solutions to our clients in various industries. We blend our domain fluency, technology expertise, and strong experience to give our clients cost-effective and results-driven integration strategies, application implementation, upgrades, and continuous support.

We solve big data challenges for clients to help them become a truly digital businesses. Our big data consulting services encompass big data strategy, real-time big data processing services, machine learning, data platform management, and analytics solutions. Because we believe that every business can become a data-driven business, we help you implement a comprehensive big data strategy and shine the spotlight on big data analytics solutions.

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Our Big Data Analytics services

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Big Data Consulting

The explosion of big data and data-collecting devices offers great opportunities. But to take full advantage, you need faster computing in the data center and intelligent edge technologies. At HyperBeans we provide direction for the technical architecture capacity planning and performance and recommendation of competitive advantage from data assets and analytic capabilities to benefit the business.

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ETL for Analytics

Extracting data is about acquiring it from a particular source and to do so at all relevant data is needed to be collected. For ETL to work well, data needs to come directly from the source and in its rawest form. We provide ETL for Analytics which involves the transformation, cleaning, filtering, validating rules and loading of data into the organizational data warehouse.

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Data Lake

Data Lake is a big data solution that makes use of a centralized repository for the storage of structured and unstructured data. Our big data & data lakes solution is aimed at enabling enterprises to gain access to real-time business insights. It helps businesses reconfigure their data sources and co-develop a hybrid architecture, which unifies multi-structured data from disparate environments, for deriving high-value intelligence.

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Big Data Processing

Big data processing is a set of techniques or programming models to access large-scale data to extract useful information for supporting and providing decisions. Map and Reduce functions are programmed by users to process the big data distributed across multiple heterogeneous nodes. In Big Data processing, we employ algorithms for the manipulation and processing of data into the usable form using a predefined sequence of defined operations.

Why HyperBeans for Big Data Solutions

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High-Performance Computing

The power of supercomputing doesn’t just apply in the lab. High-performance computing solutions from HyperBeans scale-up or scale-out, on-premises or in the cloud, with purpose-built storage and the software you need to power innovation.

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Agile ML Workflows

Bring DevOps-like speed and agility to ML workflows with support for every stage of the machine learning lifecycle: from sandbox experimentation with your choice of ML/DL frameworks to model training on containerized distributed clusters to deploying and tracking models in production.

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Datacenter modernization

Overcome big data challenges and migration to the cloud by using the right compute — and expertise — to modernize your data center. Hybrid cloud helps you accelerate digital transformation and harness the power of your applications and data.

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Real-time analytics with SAP

SAP HANA performs business processing and analytics in real-time, which brings significant advantages. But you must replace existing databases; implement servers built for in-memory computing, and transition without disruption.

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Data-driven services

Tap the power of artificial intelligence, data, and advanced analytics to uncover insights, create trusted transactions, and employ intelligence in revolutionary, ethical, secure ways. Innovate and transform the way people and machines work together from Edge to Cloud.

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Data protection and retention

Keep your data safe and available while optimizing backup and recovery performance. Cost-effectively reduce your risk of data loss and rapid recovery from downtime. Improve the efficiency and reduce the complexity of your storage and data environment.

Our Big Data based app development process

1

Strategy

To remain as a world-leading organization in application development, we develop a strategy of continually researching new and latest technologies. We adopt an agile approach. Our approach ensures better performance, consistency, and an excellent user experience. With our apps, users can benefit from broader access to application programming interfaces and make limitless use of the app.

2

User Experience Design

The goal for app UI / UX design is to create excellent user experiences making your app interactive, intuitive, and user-friendly. Our mobile app and web developers focus on efficiency and discoverability when it comes to designing the user experience. Our experience with mobile app and web UX design ensures a positive experience for the users, regardless of the type of device and platform.

3

Mobile App and Web Development

No matter how complex product development is, our people deal with every challenge smartly. Our team will help you create practical and seamless experiences on any device and get the best of mobile and web technology for your business. We understand your specific business needs and deliver what you are looking for. Choose our easy-to-navigate and user-friendly mobile app development service.

4

Testing

The product undergoes a wide variety of checks for its functionality, usability as well as consistency. To ensure comprehensive QA testing of your app, you first need to prepare test cases that address all aspects of app testing. Our series of app testing processes ensure that your app is ready to hit the market and provide users with an unparalleled experience.

5

Launch

We help clients to introduce apps in the market in an effective way. We help you at every stage, whether it is launching a new application, updating the app, or a re-launch, we are here to help. From researching the market to understanding the audience for the final launch, we take care of every aspect in between.

6

Support and Maintenance

As the application gets in the hands of app users, feedback will pour in. For future versions of the app, you will need to incorporate that as an app update. Every app will need new features and technological updates. Our maintenance and support service makes your application up-to-date so that it remains competitive. It includes continuous app monitoring, usability review, app upgrades.

Tools and technologies we use for Big Data Solutions

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Xplenty

It is a platform to integrate, process, and prepare data for analytics on the cloud. It will bring all your data sources together. Its intuitive graphic interface will help you with implementing ETL, ELT, or a replication solution.

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Artificial Intelligence

A broad bandwidth of computer science that deals in designing smart machines capable of accomplishing various tasks that typically demand human intelligence is known as Artificial Intelligence.

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NoSQL Database

NoSQL incorporates a broad range of separate database technologies that are developing to design modern applications. It depicts a non SQL or nonrelational database that delivers a method for accumulation and retrieval of data.

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R Programming

R is the programming language and an open-source project. It is a free software highly used for statistical computing, visualization, unified developing environments like Eclipse, and Visual Studio assistance communication.

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Apache Spark

With in-built features for streaming, Apache Spark earns the cite as the speedest and common generator for big data transformation. It supports major languages of big data comprising Python, R, Scala, and Java.

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Apache Hadoop

It is a software framework employed for clustered file systems and the handling of big data. It processes datasets of big data using the MapReduce programming model. Hadoop is an open-source framework that provides cross-platform support.

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Apache Cassandra

It is free of cost and open-source distributed NoSQL DBMS constructed to manage huge volumes of data spread across numerous commodity servers, delivering high availability. It employs CQL (Cassandra Structure Language) to interact with the database.

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Konstanz Information Miner

It is an open-source tool that is used for Enterprise reporting, integration, research, CRM, data mining, data analytics, text mining, and business intelligence. It supports Linux, OS X, and Windows.

Our Key Offerings

Our developers are fully conversant with the cloud integration standards and rigorously follow interface guidelines to the core. Our developers are competent to build & deploy apps that excel in functional design, code performance, scalability, security. We also offer an engaging user experience.

BigData Solutions

BigData Solutions

ETL Analytics

ETL Analytics

Data Lake

Data Lake

BigData Processing

BigData Processing

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