To put it simply, big data is the massive chunk of uncategorized and unstructured data sets. Due to its huge size and complexity, big data cannot be processed using traditional methods. It is ever-increasing and always changing as more and more data is collected, something which is referred to as datafication. Therefore, to handle this massive amount of unmanageable data, new technologies, tools, and methods have been devised.
As an award-winning big data company, AppStudio has expertise in providing all kinds of big data services including Hadoop application development. Our big data experts and data scientists maximize your ROI by delivering robust digital solutions for your organization.
We leverage our extensive knowledge and years of experience in the domain of big data when offering consultation services. Our team provides unbiased suggestions on suitable technologies, big data architecture, and implementation techniques.
Our big data team offers seamless big data implementation services. They make use of the latest technologies to create dynamic, versatile, and high-output business solutions while keeping the overall development costs down.
AppStudio has an experienced team of skilled data scientists who offer highly effective predictive perceptions and are familiar with the implementation of advanced models. They can deliver high-quality services for a wide range of industries and verticals.
AppStudio offers real-time data streaming services to boost the efficiency of our big data solutions for businesses. With the help of real-time data streaming, you can keep track of customers, maintain proper records, monitor systems and analyze faster.
Big data tracking and monitoring tools that make resource management simpler. Completely personalized tracking solutions to securely manage, track and deploy your applications, employees, and business resources.
Efficient data collection and delivery solutions for easier control and management of the organization’s data. Increase the value of your products and services by leveraging big data software development and business intelligence.
Big data has impacted the healthcare industry hugely. It has revolutionized the way healthcare institutions store and recall medical records, patient information, prescriptions, and other data. The technology is responsible for bringing forth tremendous changes in medical imaging, pharmaceutical records, and user devices like fitness trackers.
It’s a no-brainer that the education sector is one of the biggest producers of data. The sheer number of people involved and the courses available contribute to the huge amount of data being generated. Big data streamlines all the data by segregating and structuring it, therefore reforming the learning environment and how knowledge is shared, collected, and imparted.
The banking sector deals with massive ledgers and financial records of all sorts. They collect personal information, process loans, and analyze various financial performance indicators of individuals as well as entire organizations. Big data is one of the most disruptive and transformative technologies in the world of banking due to its ability to facilitate automation.
The manufacturing sector is one of the biggest sectors to be impacted by the inception of big data. Organizations can refine their products with the help of big data to detect patterns that are generated by production routines. They can improve their processes by strategizing their manufacturing methodologies and hence boost productivity, efficiency, and costs.
In the IT domain, big data has introduced many drastic changes and is widely considered as one of the most disruptive technology ever conceived. Companies rely on big data technology to increase their productivity, products, and services. They devise reliable business strategies to adapt to their market in a more suitable and results-driven way.
The implementation of advanced technology like big data in consumer-centric sectors like the retail sector is a boon to all. Retail brands track a variety of information such as spending habits, in-store experiences, brand loyalty, and user reviews to constantly improve their offerings. Big data also allows them to gather and store a huge amount of data from social media and other digital platforms to devise an effective marketing approach.
AppStudio is a renowned big data software development company from Canada. We offer unmatched big data consulting services as well as big data application development solutions for organizations big and small. Our team of experienced big data developers is highly skilled in delivering scalable business solutions.
We have been active in the domain of big data for business and have catered to many clients over the years. With our technical expertise and familiarity with the domain, we have earned our place as the most reputed big data development company.
Our experts work with the latest technology and methodologies to build high-quality business solutions. They conduct regular quality checks to ensure the application code is flawless and every other aspect is working as intended.
AppStudio follows a completely transparent big data web development process. We provide our clients with real-time tracking options to stay updated with the development process using project management systems like Jira and Confluence.
As a big data agency, we offer a comprehensive end-to-end big data development cycle. All the elements of big data development are covered by us, from start to finish as well as post-deployment services like technical support and maintenance.
Here at AppStudio, we follow the advanced Agile methodology to speed up our entire development cycle and improve product quality at the same time. It allows us to streamline operations, boost efficiency and drive productivity.
We offer a complete suite of big data development services for organizations seated in various industries and verticals. Our team devises custom digital solutions for businesses that are designed to cater to their unique requirements and challenges.
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It is quite impossible to answer exactly, as it depends on the infrastructure on the market. Traditionally, Big Data is characterized by three attributes known as VVV rule. These attributes include Velocity, Variety, & Volume. Our developers consider all these attributes to develop Bida data solutions as your business requirements.
Nowadays, Big data services are required by almost every sector. Our developers have developed mobile applications for organisations dealing with huge amounts of data, including healthcare companies to financial firms. Our developers use their own strategy to use big data.
We use the latest technologies and methodologies to manage SQL queries, statistical analysis, data mining, fact clustering, natural language processing, data visualization, text analytics, artificial intelligence, and many more.
Excellent Quality Delivered on Time
Effective & Continuous Communication
Friendly & Cordial in Nature
Appstudio has delivered hundreds of effective and successful big data development solutions for our clients. We have catered to startups, businesses, and large-scale firms all over the globe. With the help of our strategic product development, domain expertise, and technological advancements we have addressed various challenges and industry requirements. AppStudio offers ultra-modern healthcare software development services as well as mobile and web application development for all industries and business verticals. We offer value-added big data solutions that are reliable, robust, and remarkable.
Complete Technical Competency
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.
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.
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.
Our substantial R&D budget and innovation labs, spreaded across North America, ensure that we are up to date with the latest technologies & trends. This has been a key factor in helping us retain the title of the best-in-class mobile application development company.
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.
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.
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.
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.
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.
We build a contemporary Big Data approach and apply it in a completely functional manner in your existing business ecosystem.
We conduct an investigative and thorough data analysis from which we develop and validate specific predictive models for your company.
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.
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.
AppStudio teams work in shifts to study the market and your business and evaluate the scope of big data solutions tailored for you.
After the initial process, we start preparing your data into catalogues for future endeavours'. We efficiently manage your big data.
We envision and break down a complex data type system, discover insights buried in unstructured data, and form comprehensive analytics.
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.
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.
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).
While there are many categories of information within Big Data, the International Business Machines Corporation (IBM) classifies five types of data within Big Data:
Includes web content and information obtained from social networks such as Facebook, Twitter, LinkedIn, Instagram, Uber, etc.
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.
Includes billing records in telecommunications as detailed records of the phone calls we make.
Information that includes fingerprints, retinal scanning, facial recognition, and genetics.
We generate large amounts of data for the storage we use, for example, a phone call, voice memos, emails, electronic documents, among others.
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.