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Big Data Interview Questions & Answers - Learning Mode

Big Data Interview Questions & Answers - Learning Mode

Big data is a term that describes the large volume of data ? both structured and unstructured ? that inundates a business on a day-to-day basis. But it is not the amount of data that?s important. It is what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and strategic business moves. Big data is a term for data sets that are so large or complex that traditional data processing applications are inadequate to deal with them. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, querying, updating and information privacy. The term "Big Data" often refers simply to the use of predictive analytics, user behavior analytics, or certain other advanced data analytics methods that extract value from data, and seldom to a particular size of data set. Accuracy in big data may lead to more confident decision-making, and better decisions can result in greater operational efficiency,

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Big Data Interview Questions & Answers - Learning Mode
Try Big Data Interview Questions & Answers - Exam Mode
Question: What is the impact of Big Data on Media Industry?

Answer: To understand how the media utilizes Big Data, it is first necessary to provide some context into the mechanism used for media process. It has been suggested by Nick Couldry and Joseph Turow that practitioners in Media and Advertising approach big data as many actionable points of information about millions of individuals. The industry appears to be moving away from the traditional approach of using specific media environments such as newspapers, magazines, or television shows and instead tap in Source:
Question: What is the impact of Big Data on Information Technology Industry?

Answer: Especially since 2015, Big Data has come to prominence within Business Operations as a tool to help employees work more efficiently and streamline the collection and distribution of Information Technology (IT). The use of Big Data to attack IT and data collection issues within an enterprise is called IT Operations Analytics (ITOA).

By applying Big Data principles into the concepts of machine intelligence and deep computing, IT departments can predict potential issues and move to provide s Source:
Question: What is the impact of Big Data on Internet of Things (IoT) Industry?

Answer: Big Data and the IoT work in conjunction. From a media perspective, data is the key derivative of device inter-connectivity and allows accurate targeting. The Internet of Things, with the help of big data, therefore transforms the media industry, companies and even governments, opening up a new era of economic growth and competitiveness. The intersection of people, data and intelligent algorithms have far-reaching impacts on media efficiency. The wealth of data generated allows an elaborate laye Source:
Question: What is the 6C System for Big Data, followed in Factory work and Cyber-physical systems?

Answer: Factory work and Cyber-physical systems may have a 6C system:-

1. Connection (sensor and networks)
2. Cloud (computing and data on demand)
3. Cyber (model and memory)
4. Content/context (meaning and correlation)
5. Community (sharing and collaboration)
6. Customization (personalization and value)

Data must be processed with advanced tools (analytics and algorithms) to reveal meaningful information. For example, to manage a factory one must consider both visible and i Source:
Question: What is the impact of Big Data on Sports Industry?

Answer: Big data can be used to improve training and understanding competitors, using sport sensors. Besides, it is possible to predict winners in a match using big data analytics. Future performance of players could be predicted as well. Thus, players' value and salary is determined by data collected throughout the season.

The movie MoneyBall demonstrates how big data could be used to scout players and also identify undervalued players.

In Formula One races, race cars with hundreds of Source:
Question: What is Gartner's definition of the 3Vs for Big Data?

Answer: In a 2001 research report and related lectures, META Group (now Gartner) analyst Doug Laney defined data growth challenges and opportunities as being three-dimensional, i.e. increasing volume (amount of data), velocity (speed of data in and out), and variety (range of data types and sources). Gartner, and now much of the industry, continue to use this "3Vs" model for describing big data.

In 2012, Gartner updated its definition as follows:-

"Big data is high volume, high velocity, a Source:
Question: What is the impact of Big Data on Healthcare Industry?

Answer: Big data analytics has helped healthcare improve by providing personalized medicine and prescriptive analytics, clinical risk intervention and predictive analytics, waste and care variability reduction, automated external and internal reporting of patient data, standardized medical terms and patient registries and fragmented point solutions. The level of data generated within healthcare systems is not trivial. With the added adoption of mHealth, eHealth and wearable technologies the volume of da Source:
Question: What is the impact of Big Data on Real estate Industry?

Answer: Windermere Real Estate uses anonymous GPS signals from nearly 100 million drivers to help new home buyers determine their typical drive times to and from work throughout various times of the day. Source:
Question: Why Is Big Data Important?

Answer: The importance of big data does not revolve around how much data you have, but what you do with it. You can take data from any source and analyze it to find answers that enable 1) cost reductions, 2) time reductions, 3) new product development and optimized offerings, and 4) smart decision making. When you combine big data with high-powered analytics, you can accomplish business-related tasks such as:-

1. Determining root causes of failures, issues and defects in near-real time.

2. Source:
Question: What is the impact of Big Data on Education Industry?

Answer: A McKinsey Global Institute study found a shortage of 1.5 million highly trained data professionals and managers and a number of universities including University of Tennessee and UC Berkeley, have created masters programs to meet this demand. Private bootcamps have also developed programs to meet that demand, including free programs like The Data Incubator or paid programs like General Assembly. Source:
Question: What is the impact of Big Data on Retail Banking Industry?

Answer: FICO Card Detection System protects accounts world-wide.
The volume of business data worldwide, across all companies, doubles every 1.2 years, according to estimates. Hence, Big Data is very important for these Retail Banking functions. Source:
Question: What are some real-world examples of Big Data and how it is used?

Answer: There are many examples, but here?s just a few:-

? In the energy sector, the Weather Company is currently using big data analytics to help utility company managers better predict, plan for, and respond to weather-related risks to infrastructure assets, thereby improving efficiency and delivering better service to customers.

? In the health care sector, big data analytics is being used to help sequence and analyze genomes to assist in the fight against cancer, infections, and non-co Source:
Question: What is the difference between Business Intelligence and Big Data?

Answer: The growing maturity of the concept more starkly delineates the difference between big data and Business Intelligence:-

Business Intelligence uses descriptive statistics with data with high information density to measure things, detect trends, etc. while Big data uses inductive statistics and concepts from nonlinear system identification to infer laws (regressions, nonlinear relationships, and causal effects) from large sets of data with low information density to reveal relationships and Source:
Question: What does a Big Data analyst do?

Answer: Analysts working in the field of big data use a mix of business knowledge, analytical abilities, technical expertise, and communication skills to collect, interpret and communicate findings from the analysis of big data to support decision-making, often within organizations. Many analysts work for larger business and government organizations (with large datasets to analyze and the resources to do it), though opportunities also exist in smaller technology-based companies or business consultancies Source:
Question: What are the mean features of Big Data?

Answer: While the term "Big Data" is relatively new, the act of gathering and storing large amounts of information for eventual analysis is ages old. The concept gained momentum in the early 2000s when industry analyst Doug Laney articulated the now-mainstream definition of big data as the three Vs:-

Volume - Organizations collect data from a variety of sources, including business transactions, social media and information from sensor or machine-to-machine data. In the past, storing it would?ve b Source:
Question: What is meant by the term Big Data?

Answer: Big data is a term that describes the large volume of data ? both structured and unstructured ? that inundates a business on a day-to-day basis. But it's not the amount of data that's important. It's what organizations do with the data that matters.

Big data is a term for data sets that are so large or complex that traditional data processing applications are inadequate to deal with them. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, Source:
Question: Why Big Data is becoming so important?

Answer: Big data analytics has been dubbed "the best job of the 21st century" according to a 2012 article published in the Harvard Business Review.
An analysis of labor market trends conducted by the Information and Communications Technology Council of Canada in 2015 suggests that one in five new data-related jobs will involve a big data component, and that the number of people employed in big data analytics will increase by 29 per cent (from 33,600 to 43,300) between 2016 and 2020 alone.

Ther Source:
Question: What is Big Data Analytics?

Answer: Simply put, big data analytics refers to the process of extracting meaningful insights that support decision-making by examining very large and complex sets of data. One of the main things that set big data analytics apart from other forms of analysis is sheer size of the datasets being examined.

Big data also can exist in different formats (e.g., a mix of text, numeric, and video data) or in different places (e.g., separate technologies, systems, or databases). So here, we are talking ab Source:
Question: What is a Private Cloud? Do we need one to handle Big Data?

Answer: A private cloud is an in-house implementation of cloud architecture, allowing internal IT to provide compute, storage, and other services to the business with cloud characteristics such as self-service, on-demand provisioning, pay as you go charges for resource use, and elastic consumption separate from acquisition of underlying infrastructure.

IT wants to offer the business lines (and IT staff) the kind of simplicity folks get in using a public cloud, meaning they can go to a management Source:
Question: What are the main Characteristics Big Data?

Answer: Big data can be described by the following Characteristics:-

The quantity of generated and stored data. The size of the data determines the value and potential insight- and whether it can actually be considered big data or not.

The type and nature of the data. This helps people who analyze it to effectively use the resulting insight.

In this context, the speed at which the data is generated and processed to meet the demands and ch Source:

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Latest 20 Questions
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