Explaining Which big data technology is in demand With Suitable Examples

Big Data Technology is a type of software utility that is created to analyze, process, and extract information from huge and complicated data sets that are too complex for traditional data processing software to handle. Big data is a specialized indicator for the massive collection of data that is growing exponentially and in quantity with time. Big Data Technologies are software tools that analyze, process and extract data from extraordinarily vast and complicated data sets that are too difficult for typical management tools to handle. Big Data technologies can be divided generally into two groups.

Operational big data technologies

This refers to the amount of data produced daily, including that from online transactions, social media, or any information from a specific company used for analysis by big data technology-based software. The technology for big data analysis uses it as raw data. Information on MNC management, Amazon, Flipkart, Walmart, and online ticketing for movies, flights, trains, and other services are just a few examples of Operational Big Data Technologies instances.

• Reservations are made online utilizing a booking system for movies, trains, airplanes, and other transportation.

• Trading or purchasing products online through e-commerce platforms like Amazon, Ajio, Myntra, etc.

• Online information from social networking sites like Facebook, Instagram, WhatsApp, Messenger, etc.

• Executive details or Employee data of MNCs.

Analytical Big Data Technologies

In contrast to operational big data, analytical big data technologies focus on the more complex modification of big data technologies. Real Big Data analysis, which is crucial to business choices, falls under this category. Stock marketing, weather forecasting, time series, and medical records analysis are a few examples in this domain.

• Info on marketing stock.

• Data on weather forecasts.

• Keeping meticulous records of space missions, where every aspect of a mission is mentioned.

• Doctors can keep track of a patient’s health condition to record.

Big Data’s top 8 technologies

The most common question asked in the corporate sector in which big data technology is in demand currently, here the following is the list of top big data technology

Hadoop Ecosystem

In a distributed data processing environment, the Hadoop Framework was created to store and process data using a straightforward programming style. Data can be stored and examined on a variety of systems. In the past year, Hadoop has been widely used by businesses for their data warehousing needs. The tendency appears to persist and even intensify in the upcoming year. Companies that haven’t looked into Hadoop yet are likely to realize its benefits and uses.

Artificial intelligence

The field of artificial intelligence deals with the creation of intelligent machines that are capable of performing a variety of tasks that generally require human intelligence. AI is advancing quickly, from Apple’s Siri to autonomous vehicles. As an interdisciplinary field of study, it considers a variety of strategies, including greater machine learning and deep learning, to create a significant change in the majority of tech businesses. The current Big Data Technologies are being revolutionized by AI.

NoSQL Database

Different Big Data Technologies, created to design contemporary applications, are included in the NoSQL database. It demonstrates how a non-SQL or non-relational database can be used to acquire and restore data. Real-time Web and Big Data analytics employ them. It addresses a variety of data formats, including MongoDB, Redis, and Cassandra, while storing unstructured data and providing quicker speed and flexibility. Design integrity, better horizontal scaling, and control over opportunities across a variety of platforms are all provided by it. It uses distinct data structures than those used by databases by default, which accelerates NoSQL calculations.

R Programming

One of the open-source programming languages and big data technologies is R. The open-source software is frequently used for statistical computing, visualization, and assistance communication in unified development environments like Eclipse and Visual Studio. Experts claim that it has long been persistent in the world for a considerable time. Data miners and statisticians also frequently use this to create statistical applications, mostly for data analysis.

Data Lakes

A centralized repository for the storage of all data formats at all levels, including both structured and unstructured data, is referred to as a “data lake.” During data accumulation, data can be saved in its raw form without being converted into structured data. It allows for the real-time execution of many different sorts of Big Data transformation, from dashboards and data visualization to business intelligence.

Utilizing new log file sources, data from social media and click-streaming, businesses who employ data lakes keep one step ahead of the competition and perform cutting-edge analytics, such as machine learning.

By comprehending and involving customers, sustaining productivity, actively maintaining devices, and using familiar decision-making processes, this Big Data technology aids businesses in responding to improved commercial growth prospects.

Analytical Prediction

One of the most well-liked and widely used big data technologies is this one. Predictive analytics, a subset of Big Data analytics, uses historical data to forecast upcoming events and behavior. The following technologies are employed:

• Computer learning.

• Modeling data.

• Modeling using statistics and mathematics.

Blockchain

The main technology underlying cryptocurrencies is blockchain. Its ability to capture structured data in a way that can never be changed or erased is what makes it special. This feature makes the Banking, Finance, Securities, and Insurance (BFSI) sector’s environment exceptionally secure and dependable. Blockchains not only have uses in the BFSI industry, but also fields related to social welfare, such as education and healthcare.

In-Memory Database

Data engineers must have a solid understanding of database design and architecture. Nevertheless, it’s crucial to stay current and experiment with new technology. In-memory Computing (IMC) is one instance where numerous computers dispersed across various sites share data processing activities. Wide-scale and fast access to data is possible. 

Various IT companies are already thriving in the IoT, retail, and healthcare industries. It is being used by businesses for network-driven drug development also. While in-memory databases have enabled online clothes retailers to manage growing data quantities with greater flexibility.

As a result of increased adoption and use of the existing big data technologies as well as the introduction of fresher approaches to big data security, cloud integrations, data mining, etc., big data is still rapidly expanding. Rootfacts is ever ready to guide your enterprise by answering which big data technology is in demand and helping the incorporation of various big data technology into the workforce