Choose eSource Software as your preferred Big Data company in India and get secure, scalable and advanced Big Data. Our team of talented developers and designers will work one-on-one with you to take your Big Data from idea to reality. At eSource Software we can transform complex business processes in to simplified systems that reduce manual interference. The term “big data” refers to data that is so large, fast or complex that it’s difficult or impossible to process using traditional methods. The act of accessing and storing large amounts of information for analytics has been around a long time. But the concept of big data gained momentum in the early 2000s when industry analyst Doug Laney articulated the now-mainstream definition of big data as the three V’s: Volume: Organizations collect data from a variety of sources, including business transactions, smart (IoT) devices, industrial equipment, videos, social media and more. In the past, storing it would have been a problem – but cheaper storage on platforms like data lakes and Hadoop have eased the burden. Velocity: With the growth in the Internet of Things, data streams in to businesses at an unprecedented speed and must be handled in a timely manner. RFID tags, sensors and smart meters are driving the need to deal with these torrents of data in near-real time. Variety: Data comes in all types of formats – from structured, numeric data in traditional databases to unstructured text documents, emails, videos, audios, stock ticker data and financial transactions.
Big Data pages associate and react with client's demands, not at all like essential website pages where pages are all pre-designed. The most widely recognized model is internet shopping applications. Most business Big Data use a database to store changeless data, for example, item depictions/expenses, and client orders. This stands out from conventional work area applications, which are introduced on a nearby PC.
For instance, most of us know about Microsoft Word, a typical word-preparing application that is a work area application. On the other hand, Google Docs is likewise a word-handling application yet clients play out all the capacities utilizing a web program as opposed to utilizing programming introduced on their PC. This implies it is a web-based application. Google applications are presumably the most notable among web-based applications.
Big Data services are essential for any business that wants to get the most out of their investments. Big Data analytics helps organize and visualize real-time the patterns present in your machine-generated data like reports, system logs, and CRM records. This data is a goldmine of knowledge hiding multiple actionable insights that your business can use to minimize spending, pursue the profit opportunities and improve your workflows.
How can this be done? Big Data technologies utilize a wide range of Apache products like Apache Spark, Cassandra, Storm, Hadoop, and others. Big Data architects work with tools like Tableau, D3.js, and JuPyteR Notebook to visualize the results of the analysis performed by Machine Learning models and Artificial Intelligence algorithms. There are multiple methodologies used for training ML models, like Deep Neural Networks (DNNs), Naive Bayesian algorithms, Decision Forests and several dozen more pieces of ML & AI technology that can monitor and analyze your data real-time.
There are three main approaches to building data analytics solutions using Big Data technologies. A company might subscribe to Big Data analytics solutions from cloud computing providers, might try to attract Big Data architects to their in-house team or try to work by outsourcing Big Data projects to a reliable Big Data consulting company. All variants are viable and below we explain the benefits and shortcomings of each approach.
eSource Software has been rendering a full range of big data services, including consulting, implementation, support and big data as a service to help clients benefit from the big data environment.
Improved user experience and satisfaction, improved focus on innovations that meet new market needs.
Quality & consistency, time saving, improved operational efficiency
Competitive advantage, increased employee productivity, universal access to enterprise resources
We at eSource Software are ready to partner and empower you with our impeccable Web Development capabilities and stature. Get in touch to experience the comfort, conviction and competence at their best. services to build the perfect teams using the frameworks that are developer friendly.
Our Core Big Data Services render unique, dynamic and highly functional strategy. To develop competent, powerful and interactive applications, we operate in Model View Controller (MVC) architecture that separates business logic and GUI of the development cycle and render more stable performance base and better control on it to the developers.
eSource Software is trusted by Companies, Universities and Government agencies. Read our latest customer testimonials.
We thank eSource Software for the wonderful job in helping us develop our program. Everyone was professional, excellent and hard working. Thanks to them, we were able to achieve our goal on time, and we look forward to continue working with them in the future. I would like to recommend dealing with eSource Software due to their wide expertise, holistic approach and friendly communication. Keep up the good work and I'm looking forward to a long partnership!
eSource Software has been supporting our business for the past 9 months in both the creation and implementation of new and tailored software. They are reliable, thorough, smart, available, extremely good communicators and very friendly! We would recommend hiring them to anyone looking for a highly productive and solution driven team. We plan to continue to work with them for the long term. Thanks eSource Software!
We had a brilliant experience working with eSource. They delivered great solutions using cutting edge techniques. The quality of their work was excellent and was all delivered on time. Most importantly, everyone was fully able to understand technical design and development, techniques and constraints with the confidence, vision, and capabilities to manage our project from the planning to the implementation and delivery stages cost effectively and on-time.
Hadoop is an open-source framework for storing, processing, and analyzing complex unstructured data sets for deriving insights and intelligence.
Commodity Hardware refers to the minimal hardware resources needed to run the Apache Hadoop framework. Any hardware that supports Hadoop’s minimum requirements is known as ‘Commodity Hardware.’
The JPS command is used for testing the working of all the Hadoop daemons. It specifically tests daemons like NameNode, DataNode, ResourceManager, NodeManager and more.
Hadoop helps in exploring and analyzing large and unstructured data sets. Hadoop offers storage, processing and data collection capabilities that help in analytics.
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