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What is Big Data?

“Big Data” generally refers to data that is so large, fast or complex and quite difficult to process using traditional methods. Big data describes the large volume of data, including both structured and unstructured data to manage a business on a day-to-day basis. These data can be analyzed for insights that help in taking better decisions and strategic business moves.

Our Big Data Development Process


Strategic consulting


Architecture and design


Platform-based implementation





Big Data Development Services of AppStudio

Our big data experts make data science very easy for the enterprises. Our developers have expertise in working on all types of big data services, including the integration of your data into analytics-ready systems or building a scalable big data solution from scratch. We will help you maximize the return on your investment.

  • Consulting


Our experts use the tested and potential methodologies to deliver unbiased vendor-neutral suggestions, architecture blueprints, and implementation techniques. We help you select suitable technologies and vendors as per your requirements and budget.

  • Implementation


We offer dynamic, versatile, high-performance Big Data applications within less execution time and cost. Our team of experts collaborates with you to deliver proof-of-concept models using the latest Big Data technologies. AppStudio also offers cost-effective maintenance, support, and optimization of all your Big Data Solutions.

  • Data Science

    Data Science

We have experienced data scientists to implement advanced models and algorithms and to provide predictive perceptions. We have delivered services in a broad range of industries, including Healthcare, Gaming, Entertainment, Digital Media, E-commerce, and others.

  • Real-Time Data Streaming


Real-time Data streaming makes our big data solutions a lot more effective. It guarantees better e-Commerce, faster analysis, system monitoring and much more. It helps businesses to maintain a proper record of the actions of their customers.

  • Tracking & Monitoring


We provide you proper tracking & monitoring options that help you to track the resources and people working on your project easily. It helps business owners and fleet managers to secure, track and deploy their applications for maximum benefit. We conduct personalized and private tracking programs to prevent you from internal and external fraud.

  • Real-Time Reporting Solutions

    Real-Time Reporting Solutions

Real-time reporting helps users to control and manage their products. It is quite challenging for any organisation to provide data in real-time. Our services help us to increase the value of our application and business intelligence investments without any change on the performance of operational systems.

Industries That Are
Redefined by Big Data


Big data creates huge differences in the healthcare sector. It is used to retrieve and store abundant health-related data from numerous sources like electronic health records (EHRs), genomic sequencing, medical imaging, pharmaceutical research, payor records, wearables, and many others. Some apps collect data on users’ workouts, calories burned and act as a “virtual coach” to help users to meet their health goals.


Education sector generates huge amounts of data through courseware and learning methodologies. It offers better teaching strategies, identifies areas where students can get an effective learning environment, and transforms how the education is delivered. Increasingly educational technologies have been putting data into a segregated manner.


Various Big data solutions allow companies to collect performance metrics across various departments in real time. Some research from the banking sector reveals that about 30% of all work in banks are automated using technology, and mainly depends on big data.


Big data helps manufacturing sectors to eliminate inventory overruns and create better products under budget. Many companies are opting for lean manufacturing methodologies to turn routine production runs into data that makes a difference. One of the most exciting outcomes of big data in the manufacturing sector is to detect patterns inherent in the data.


Big Data is considered as yet another “game-changer” in the Information Technology sector. IT companies collaborate with the business side of the organization to handle Big Data easily and also to boost productivity by developing a proper data management strategy to deliver measurable results.


Big data provides Data-driven, personalized customer experiences that help retailers to enjoy outstanding service. To provide a better in-store experience, companies use sensor and Wi-Fi data to manage proper track of all the important information. Several applications allow companies to handle social media data from millions of followers; and thus improves marketing and product design.

We are trusted by brands
you believe in

What Sets Us Apart

Whether you want to integrate your data into an analytics-ready system or build a scalable big data solution from scratch, our team of dedicated big data engineers will help you maximize your return on investment.

Game development idea

Technology Expertise

We have experience working on various types of complex Big Data projects. We excel in technologies like Hadoop and Spark where we engage in high-end big data processing to achieve our customers' goals.

game idea

Quality control

Our Senior Developers and CTOs always participate in the Code Review process regardless of project size to ensure code quality.


Full Transparency

We use Jira and Confluence as the main project management systems, giving our clients the possibility to track developments online in real time 24/7 with no hidden jobs and payments.

Cross-Platform Game development

End-to-end Big Data Development Life Cycle

We offer an end-to-end big data application development cycle, from consulting and implementation to maintenance and support, we cover the entire scope of big data development.

Socialise the Mobile Game


We follow best PM practices & processes like Agile methodology using Kanban and Scrum.

Test the Game Rigorously

Offer Full Development Service

AppStudio provides an extensive range of services around big data for businesses in Advertising, Retail, Telecommunications, FinTech, Healthcare and many more.

Recognized by The Best

Asked Questions

How much data can be considered as Big Data?+
Who are your clients of the BIG DATA services and solutions?+
What kind of analytic tools do your developers use to manage big data projects?+

Our Mobile App Development
Services Includes...

Excellent Quality Delivered on Time

Excellent Quality Delivered on Time

Full Confidentiality


Effective & Continuous

Effective & Continuous Communication

Friendly & Cordial in Nature

Friendly & Cordial in Nature

Experienced Team


Why Choose

We have expertise in big data consulting, tools and processes. AppStudio helps its clients to arrive at strategic decisions and actionable insights from multiple data sources collected each day. Our team of professional experts have championed big data analytics services for our clients to add more value to their business.

Absolute Support


Complete Technical Competency

Complete Technical Competency


Excellent Customer Service!

The developers at AppStudio are very careful to deliver a quality product from the start. The team doesn't let errors slip through. It’s been a good, high-quality experience so far.

  • Samantha

Helpful and Friendly

We consider AppStudio to be a strategic partner and an integral part of what we're doing at this time. They delivered exactly what we needed. I was really satisfied with our working partnership with this company.

  • Walter

Great People

The AppStudio developers are very experienced and can explain the steps of a new process to improve. I am very satisfied with their modeling of big data as it is accurate, and I enjoyed their work attitude and environment.

  • Kohler

Nominated in 2018, 2019, 2020
as the best agency of the year.

AppStudio always keeps pace with innovative technologies. This makes us the best mobile application solution providers.

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in the Studio?

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Manage your Business Efficiently with Our Big Data Development

Big Data Security Solutions

We include Big Data Consulting Services at AppStudio while offering Big Data Analysis, Strategies for Big Data Issues Use Case. Big Data analysis and strategy will list the various components expected from the Big Data environment and the methods and processes to be implemented into the Big Data Strategy and Big Data Implementation.

Big Data Infrastructure Automation

AppStudio Big Data System supports Apache Hadoop, Apache Spark Cluster, and Similar Components that enable network Automation. Big Data Services supports Reactive programming in the Akka framework to build streaming and event-driven Big Data applications. Big Data Services can deliver Big Data applications that are effectively massively scalable and integrated.

Big Data Integration Solutions

AppStudio is the leading global provider of Big Data Management Solutions to help businesses face Big Data Challenges by making Big Data Integration simple, quick and economical. Facilitate the process of interacting with Big Data Integration Solutions, Apache Hadoop, MapReduce, Hive, HDFS.

Data Warehouse and Database Design Architecture

Big Data Advisory services provide consulting, deployment with NoSQL servers to build Real-Time Data Lake and Data Warehouse. Custom Big Data tools enable you to update the Big Data Warehouse and move from traditional databases to modern databases. Cassandra, Hbase, MongoDB, and Druid are integrated into Big Data Solutions.

Services Provided By US

Consulting & Strategy

We will provide solutions to specific business needs with a simple overview and develop a custom-fit design to accommodate them. We will identify important internal and external sources of data that contribute to actionable insight.

Architecture & Framework

We build a contemporary Big Data approach and apply it in a completely functional manner in your existing business ecosystem.

Data exploration & Analysis

We conduct an investigative and thorough data analysis from which we develop and validate specific predictive models for your company.

Data collection & Preparation

We gather data from a wide variety of servers, applications, and systems. We then customize it to match your target system's correct configuration and load it into a list of destinations.

Integration & Monitoring

We incorporate our Big Data solution into your business without affecting your current business. The practical knowledge gained from your data will be interpreted and made available in usable formats to decision-makers.

Our approach


AppStudio teams work in shifts to study the market and your business and evaluate the scope of big data solutions tailored for you.

Data Preparation

After the initial process, we start preparing your data into catalogues for future endeavours'. We efficiently manage your big data.

Data Exploration

We envision and break down a complex data type system, discover insights buried in unstructured data, and form comprehensive analytics.

Building Architecture

We develop a comprehensive system designed to extract critical business data resulting in higher income and lower risks.


AppStudio integrates Big Data solutions into your company's policies and strategies.

Strengthen Your Value with Big Data Development

Big Data is a term that describes the large volume of data, both structured & unstructured, that flood business every day. But it is not the amount of data that is important. What matters most is the vast opportunities it presents to businesses. Hence, an increase in revenue, efficiency, and profits.

Appstudio offers solutions for business development and deployment of resources to define critical data, protect and handle it with frameworks, tools, and processes for proper management and visualization. Big Data Services' range involves discovering business-relevant analytical tools and skills to create a data-driven culture, break database silos, and obtain actionable insights.

At present, the Big Data concept gains strength and interest in companies, academia, and marketing, however, according to a survey conducted by LogLogic, 38% of people do not understand what it is, and 27% say which has a partial understanding. In comparison, 59% of organizations lack the necessary tools to manage the data of their Information Technology systems. Therefore, to understand the potential of Big Data, it is first necessary to define the concept.

Big Data is a term that applies to all information that cannot be processed or analyzed by traditional processes; that is, the massive amounts of data accumulated over time are difficult to analyze and handle using standard database management tools. Likewise, some more extensive definitions also include the treatment and Analysis of these vast data repositories.

Although there is still no consensus on an exact definition of Big Data, many experts agree that this term is related to volume, variety, and speed of data.

Where does all the information come from?

It is estimated that the digital information available in the world today is 5 Zettabytes (one hundred trillion bits), and this is doubled every two and a half years; the volume is such that it is said that, if all this information is put in books, 9 thousand piles of books would be achieved that would reach the sun.

This information is found throughout cyberspace. However, it is of no use without the technology necessary to handle such an amount of unstructured or semi-structured data, so processing technologies such as MapReduce or Hadoop have been developed.

Hadoop is software for intensive distributed data applications and is currently one of the most popular technologies for storing structured, semi-structured and unstructured data that make up Big Data. For its part, MapReduce works to process large amounts of petabytes of information.

Google Cloud Platform offers the most expensive and simplest form of Hadoop software available to everyone to collect, process, store, and analyze data on a single platform. Google Cloud Dataproc is a low-cost Hadoop service that manages to process large data sets effortlessly using the powerful open tools of the Apache Big Data ecosystem (creators of Hadoop).

Type of data

While there are many categories of information within Big Data, the International Business Machines Corporation (IBM) classifies five types of data within Big Data:

Web and Social Media

Includes web content and information obtained from social networks such as Facebook, Twitter, LinkedIn, Instagram, Uber, etc.

Machine to machine (M2M):

This refers to the technologies that allow connecting to other devices. M2M uses sensors or meters that capture a particular event (speed, temperature, pressure, meteorological variables, chemical variables) that transmit through wired, wireless or hybrid networks to other applications that translate these events into meaningful information.

Large data transaction:

Includes billing records in telecommunications as detailed records of the phone calls we make.


Information that includes fingerprints, retinal scanning, facial recognition, and genetics.

Generated by humans:

We generate large amounts of data for the storage we use, for example, a phone call, voice memos, emails, electronic documents, among others.

Ratification and Analytics

As mentioned at the beginning, the expression Big Data also refers to the treatment of large volumes of data through mathematical algorithms to establish correlations between them, predict trends and make decisions.

The algorithms currently used can find common patterns in the data to obtain the information and, if possible, that can be processed quickly and in real-time.

That is why the need arises to gather information about how much exists under the sun and transform it into quantifying it. This is called the ratification. This allows us to give new users the information, such as the case of predictive Analysis that, for example, it allows us to detect if an engine is prone to mechanical failures based on the vibrations it emits.

An even clearer example is that thanks to this datification, Deep Learning or what we know today as artificial intelligence is achieved. Siri de Apple and Cortana de Microsoft use the data as if it were neural networks, only that artificial intelligence uses Big Data and data to achieve its main functions.

After the datification comes to the Analysis of the information collected, which goes hand in hand with the current way of storing and processing macro data, the Anglo-Saxon word Analytics began to gain strength at the beginning of this new millennium for companies, mainly being understood as the discovery and communication of significant patterns of information or conceived as a method of logical analysis of information.

The computer techniques used in the detection, extraction, and Analysis of business data, have an main objective, to help improve business decision making. However, Big Data and its Analysis for commercial, political and economic purposes, but the majority of the population facing enormous risks in privacy protection.

For example, Google, whose number of users exceeds one billion, has an impressive number of sensors to recognize each user's behaviour, and its search engine lets you know where the Internet user is, what they are looking for and at what time.

That is, with each "click" we make, unlocking our mobile phone, payments with credit or debit cards, and with the searches we do through internet browsing, we provide a lot of information about each of us. Information that, as we will see, can be used for unethical purposes.

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