Big Data Analytics Seminar
Big Data Analytics Seminar
- January 2, 2019
- Posted by: New Horizons Singapore
The concept of big data has been around for years; most organizations now understand that if they capture all the data that streams into their businesses, they can apply analytics and get significant value from it. But even in the 1950s, decades before anyone uttered the term “big data,” businesses were using basic analytics (essentially numbers in a spreadsheet that were manually examined) to uncover insights and trends.
Data, in today’s business and technology world, is indispensable. The Big Data technologies and initiatives are rising to analyze this data for gaining insights that can help in making strategic decisions. The concept evolved at the beginning of 21st century, and every technology giant is now making use of Big Data technologies. Big Data refers to vast and voluminous data sets that may be structured or unstructured. This massive amount of data is produced every day by businesses and users. Big Data analytics is the process of examining the large data sets to underline insights and patterns. The Data analytics field in itself is vast.
The new benefits that big data analytics brings to the table, however, are speed and efficiency. Whereas a few years ago a business would have gathered information, run analytics and unearthed information that could be used for future decisions, today that business can identify insights for immediate decisions. The ability to work faster – and stay agile – gives organizations a competitive edge they didn’t have before.
The analytics involves the use of advanced techniques and tools of analytics on the data obtained from different sources in different sizes. Big data has the properties of high variety, volume, and velocity. The data sets come from various online networks, web pages, audio and video devices, social media, logs and many other sources.
Big Data analytics involves the use of analytics techniques like machine learning, data mining, natural language processing, and statistics. The data is extracted, prepared and blended to provide analysis for the businesses. Large enterprises and multinational organizations use these techniques widely these days in different ways.
Data analytics involves qualitative as well as quantitative techniques to improve business productivity and profits. There are special analytics tools that use these techniques to analyze the data sources for fresh insights. The data is usually real-time data produced at a huge scale. This data is unstructured, and the tools help to capture this data and store it for analysis. Hence the big data and business analytics tools are very advanced and help business organizations to access the data efficiently.
These tools can be two types: Storage and Analysis Big Data analytics tools. Some of these data analytics tools include Apache Hadoop, Hive, Storm, Cassandra, Mongo DB and many more.
Want to know more? Come on down and attend this seminar with us. Register now!