Big DataIn today’s world, data-driven enterprises rely entirely on data analysis to make well informed and swift decisions thanks to the advent of big data and digital transformation. Contact Us
What Is Big Data?
Big data is a term that describes large, hard-to-manage volumes of data – both structured and unstructured – that inundate businesses on a day-to-day basis. But it’s not just the type or amount of data that’s important, it’s what organizations do with the data that matters.
Huge data size - terabytes, petabytes
Various data sources (social, mobile, M2M, structured and unstructured data)
High speed of data flow, change and processing
Various levels of data uncertainly and reliability
Why Use Big Data?
It is difficult to analyze huge data accurately and efficiently with traditional solutions. Nowadays, big data tools and technologies such as KNIME, Apache Hadoop, and Apache Spark make it easier.
Big Data Applications
The process of using data to guide business strategy is known as data analytics. Our data analytics experts at Tractus assist companies in overcoming all obstacles by offering high-quality data analytics services.
4 Stages of Data Analytics
One of the advantages of machine learning systems over rule-based systems is that they process data faster and need less manual labor. Smart algorithms, for example, work well with behavior analytics to help minimize the number of verification steps
Explains what happened
Explains why it happened
Forecasts what might happen
Recommends an action based on the forecast