What is an example of big data? brainly? (2023)

What is an example of a Big data?

What are examples of big data? Big data comes from myriad sources -- some examples are transaction processing systems, customer databases, documents, emails, medical records, internet clickstream logs, mobile apps and social networks.

1}entering and tracking a company's daily transaction records in a spreadsheet. 2)tracking the work hours of 100 employees with a real-time dashboard. 3)providing real-time data feeds on millions of people with wearable devices. 4)sending user survey responses from various store branches to a single, central database.

Example of Big Data Application In Healthcare

Wearable devices and sensors have been introduced in the healthcare industry which can provide real-time feed to the electronic health record of a patient. One such technology is Apple. Apple has come up with Apple HealthKit, CareKit, and ResearchKit.

Big data refers to data that is so large, fast or complex that it's difficult or impossible to process using traditional methods. The act of accessing and storing large amounts of information for analytics has been around for a long time.

Data typically comes in the form of graphs, numbers, figures, or statistics.

Big data is a collection of data from many different sources and is often describe by five characteristics: volume, value, variety, velocity, and veracity.

Google uses big data to understand what we want from it based on several parameters such as search history, locations, trends, and many more.

Big Data allows smart meters to self-regulate energy consumption for the most efficient energy use. Smart meters collect data from sensors all over an urban space. They determine where energy ebbs and flows are highest at any given time, much like transportation planners do with people.

Where is big data mostly used?

Big data is the set of technologies created to store, analyse and manage this bulk data, a macro-tool created to identify patterns in the chaos of this explosion in information in order to design smart solutions. Today it is used in areas as diverse as medicine, agriculture, gambling and environmental protection.

Big data refers to data that is so large, fast or complex that it's difficult or impossible to process using traditional methods. The act of accessing and storing large amounts of information for analytics has been around for a long time.

1) Hadoop:

The Apache Hadoop software library is a big data framework. It allows distributed processing of large data sets across clusters of computers. It is one of the best big data tools designed to scale up from single servers to thousands of machines.

Structured and unstructured are two important types of big data.

The goal of big data is to increase the speed at which products get to market, to reduce the amount of time and resources required to gain market adoption, target audiences, and to ensure customers remain satisfied.

Big Data is a collection of data that is huge in volume, yet growing exponentially with time. It is a data with so large size and complexity that none of traditional data management tools can store it or process it efficiently. Big data is also a data but with huge size.

What are the 3 major characteristics that describe big data?

What are the Characteristics of Big Data? Three characteristics define Big Data: volume, variety, and velocity. Together, these characteristics define “Big Data”.

Big Data has 9V's characteristics (Veracity, Variety, Velocity, Volume, Validity, Variability, Volatility, Visualization and Value). The 9V's characteristics were studied and taken into consideration when any organization need to move from traditional use of systems to use data in the Big Data.

Walmart has a broad big data ecosystem. The big data ecosystem at Walmart processes multiple Terabytes of new data and petabytes of historical data every day. The analysis covers millions of products and 100's of millions customers from different sources.

While many associate big data with huge technology companies like Apple and Microsoft, McDonald's has begun to use data to create meaningful insights and leverage themselves against their rising competition.

Right from the prediction of the type of content to recommending the content for the users, Netflix does it all through big data analytics. Netflix started collecting data from the time they were distributing the DVDs which later when they started their streaming service in 2007 shaped into something more.

Big data refers to data that is so large, fast or complex that it's difficult or impossible to process using traditional methods. The act of accessing and storing large amounts of information for analytics has been around for a long time.

Big data analytics helps organizations harness their data and use it to identify new opportunities. That, in turn, leads to smarter business moves, more efficient operations, higher profits and happier customers. Businesses that use big data with advanced analytics gain value in many ways, such as: Reducing cost.

Big data is now generally defined by four characteristics: volume, velocity, variety, and veracity. At the same time, these terms help us to understand what kind of data big data actually consists of (ABN Amro, 2018).

While traditional data is based on a centralized database architecture, big data uses a distributed architecture. Computation is distributed among several computers in a network. This makes big data far more scalable than traditional data, in addition to delivering better performance and cost benefits.

How big data change our life?

Big data helps us save money on what we eat too with loyalty card schemes, cashback sites and money-off coupons all designed to reduce the weekly food bill. The same goes for transport, recreation & leisure and holidays. A staggering 90% of the world's data has been created in the past two years.