Now you know what big data is and how it works, we’re going to look at the different types of big data. Below is an overview of different types of big data assets: Unstructured dataStructured dataSemi-structured data A type of data that doesn’t have a structureddatabaseformat. This i...
In simple terms, Big data refers to the very massive collection of information that can be subjected to basic and complex analysis to identify patterns and trends for decision-making. This information can revolve around issues as simple as Windows update problems or as complex as environmental trig...
In simple terms,"Big Data"consists of very large volumes of heterogeneous data that is being generated, often, at high speeds. These data sets cannot be managed and processed using traditional data management tools and applications at hand. Big Data requires the use of a new set of tools, a...
In simple terms, MapReduce is a way of aggregating large stores of data. The Map step executes on many distributed processing server nodes. It usually executes a task on each distributed server node to retrieve data from the data nodes, and can optionally transform or pre-process the data wh...
Business Intelligence, in simple terms, is the collection of systems, software, and products that can import large data streams and use them to generate meaningful information that points toward the specific use case or scenario. Big data is the most buzzing word in the business. Big Data is ...
integrity (i.e., Big Garbage in; Big Garbage out), and of injudicious data analyses, there are a wide assortment of problems that can lead to the demise of any Big Data project. This chapter describes past failures and suggests some simple measures that can increase the Big Data success ...
Data streams, such as error logs, clickstream instrumentation and Web server logs, can easily accumulate at the rate of gigabytes or terabytes a week. The Web logs can accumulate in any form of storage, including SQL Azure, Azure Blob Storage, Amazon Si...
Learn the technology of big data, this tutorial will clear you how to application and analysis big data in the cloud.
Academicians and practitioners have recently begun to accord Artificial Intelligence (AI) and Big Data Analytics (BDA) significant consideration when exploring emerging research trends in different fields. The technique of bibliometric review has been extensively applied to the AI and BDA literature to ...
TheNew York Stock Exchangeis an example of Big Data that generates aboutone terabyteof new trade data per day. Social Media The statistic shows that500+terabytesof new data get ingested into the databases of social media siteFacebook, every day. This data is mainly generated in terms of phot...