Big Data Explained Simply
A super simple explanation of this important data analytics tool hadoop spark tensorflow python the number of platforms frameworks and technologies which have emerged to help us handle and learn from the ever growing amount of data available to businesses can be overwhelming.
Big data explained simply. This video explains big data characteristics technologies and opportunities. Learn about what it is how it works and the benefits it can offer. Big data has been buzzing around for quite some time but there are a lot of misconceptions surrounding it. Big data is a phrase that echoes across all corners of the business.
Check out what is the meaning of big data. Big data is a field that treats ways to analyze systematically extract information from or otherwise deal with data sets that are too large or complex to be dealt with by traditional data processing application software data with many cases rows offer greater statistical power while data with higher complexity more attributes or columns may lead to a higher false discovery rate. The term big data refers to the collection of all this data and our ability to use it to our advantage across a wide range of areas including business. Big data works on the principle that the more you know about anything or any situation the more reliably you can gain new insights and make predictions about what will happen in the future.
In addition such integration of big data technologies and data warehouse helps an organization to offload infrequently accessed data. Big data is the next big thing in computing. In this post i would try my best to explain big data in the simplest way i can. Don t forget to take the quiz at 04 03.
What is big data a simple explanation. Comment below what you think is the right answer to be one of the 3 lucky winners who can win amazon vouchers worth. Big data is defined as data that is huge in. A big data strategy sets the stage for business success amid an abundance of data.
Big data refers to the huge data you own and that you can use for different purposes using different methods. Big data technologies can be used for creating a staging area or landing zone for new data before identifying what data should be moved to the data warehouse. This calls for treating big data like any other valuable business asset rather than just a byproduct of applications.