Big Data is a new technology in the world of information technology which allows the processing, storage and analysis of data in various forms / formats, large amounts and very fast data addition. Processing and analyzing data in very large quantities requires a relatively much shorter time using Big Data than previous data technology, for example. Relational databases like MySQL.

Data characteristics handled by Big Data:

  • The amount is very large (volume). Usually the total size of data in terabytes and above.
  • The data growth is very fast (Velocity) so that the data increases in very large amounts in a relatively short period of time.
  • The shape or format of the data is diverse (Variety). The format here can be data in relational database tables such as MySQL, plain text files, Excel files or any form.

The benefits that can be given from Big Data, among others, can provide a more complete picture than before because usually the data analyzed is structured data such as database relational data.

Examples of scenarios where Big Data is used such as data utilization from social media, twitter, facebook etc. are combined with data from the company itself such as sales data or customer data already in relational database. This allows you to get analysis to do a good marketing strategy. For example by analyzing people on social media who are influential in marketing their products.

Data, in today’s business and technology world, is indispensable. Big Data technologies and initiatives are developing to analyze this data to gain insights that can help them make strategic decisions. This concept has evolved in the early 21st century, and every technology giant is now using Big Data technology. Big Data refers to large and large data sets that may be structured or unstructured. Huge amounts of data are generated daily by businesses and consumers. Big Data Analysis is the process of examining large sets of data to give a clear picture and pattern. The analytical field of data itself is very broad.

Big Data and Big Data Analytics fields grow day by day. Let’s take a look at Big Data Trends in 2020.

Importance of Big Data Analytics

Big Data Analysis is a revolution in the field of Information Technology. Data usage by companies has increased every year. The main focus of the company is on the customer. As a result, this field is expanding into the Business to Consumer (B2C) application. We divide the analysis into different types by nature. We have three sections of Big Data analysis: Surveillance Analytics, Predictive Analytics, and Descriptive Analytics. This field offers great potential, and in this blog, we will discuss four perspectives to explain why big data analytics is so important today?

  • Perspectives on Data Science
  • Business Perspective
  • Perspectives of Real-Time Use
  • The Workplace Perspective

Big Data Analysis and Data Science

The analysis involves the application of advanced techniques and analytical tools to data obtained from different sources in different sizes. Big data has many features, volume, and high speed. Data sets come from a variety of online networks, websites, audio and video devices, social media, logs and many other sources.

Big Data Analysis involves the use of analytical techniques such as machine learning, data mining, natural language processing, and statistics. The data is extracted, prepared and mixed to provide analysis for the business. Large corporations and multinational organizations use this technique widely today in different ways.

Data Scientists to deal with Big Data in business. Let’s explore Data Science Tools and Technologies that Enhance Productivity.

Data analysis involves both qualitative and quantitative techniques to enhance business productivity and profitability. Data analytics tools are used by researchers, analysts, and engineers for business organizations to access data efficiently.

There are specialized analytics tools that use this technique to analyze data sources to gain new insights. Data is usually real-time data generated on a large scale. This data is unstructured, and tools help capture this data and store it for analysis. Therefore, big data and business analytics tools are very advanced.

This tool can be of two types: Storage and Analysis of Big Data analytical tools. Among the data analysis tools include Apache Hadoop, Hive, Storm, Cassandra, Mongo DB and more.

Business and Big Data Analytics

Big Data analytics tools and techniques are increasing due to the use of Big Data in business. Organizations are able to find new opportunities and gain new insights to run their business efficiently. This tool helps provide valuable information for better business decisions.

Companies can improve their strategy by keeping in mind customer focus. Big data analysis helps operations become more efficient. This helps in increasing the company’s profitability.

Big data analysis tools like Hadoop help in reducing storage costs. This improves business efficiency. With the latest analytics tools, data analysis is easier and faster. This, in turn, leads to faster decisions to save time and energy.

Want to expand your knowledge of Big Data? This list of the Big Data Big Data of 2018 will help you find the best Big Data.

The Benefits of Today’s Big Data Analytics

There is huge growth in Big Data analytics with the benefit of technology. This has led to the use of big data in various industries since

  • Banking
  • Health care
  • Energy
  • Technology
  • Manufacturing
  • Blockchain

There are many other industries that use big data analysis. Banking is seen as a field that makes maximum use of Big Data Analytics.

The education sector is also using massive data analysis. There are new options for research and analysis using data analytics. Institutional data can be used for innovation by today’s technical tools. Due to the huge opportunity, Data analysis has become an attractive learning option for students as well.

The feedback provided by big data analytics tools helps to better understand customer needs. This helps develop new and better products. Improved products and services with new insights can help a large firm. This can help customers as they get better offers that meet their needs effectively.

All in all, Data analysis has become an integral part of companies today.

Conclusion

The importance of big data analysis leads to intense competition and increased demand for big data professionals. Data Science and Analysis is a growing field with great potential. Data analytics helps in analyzing business value chains and gaining insights. The use of analytics can enhance the industry knowledge of analysts. Data analytics specialists give organizations an opportunity to learn about business opportunities.

Paul Rajan P.
Author

He writes articles for her passion and knowledge sharing. A good thing about her article is that she includes multiple perspectives on a particular topic and draws a constructive conclusion.

1 Comment

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    Great article. I will be dealing with some of these issues as well..

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