Comprehensive Guide to Big Data and Analytics Concepts and Tools

Flashcard

Learn Mode

Match

Library

Create

Flashcards

Library

Match (Coming Soon)

Computer Science - Software Engineering

user_lira_cofre Created by 7 mon ago

Cards in this deck(37)

What is the use of advanced analytic techniques against very large, diverse big data sets called?

What term describes data sets whose size or type is beyond the ability of traditional relational databases to capture, manage, and process with low latency?

What refers to the massive volume of structured, semi-structured, and unstructured data that inundates a business on a day-to-day basis?

What is the process of examining data sets to uncover hidden patterns, correlations, trends, and other useful information?

Which data analytics approach focuses on understanding what happened in the past?

Which data analytics approach is used to understand why something happened?

Which data analytics approach is used to predict what will happen in the future?

Which data analytics approach suggests what should be done about a situation?

By analyzing large datasets, organizations can uncover valuable insights that can inform decision-making, improve processes, and drive innovation. What is this benefit called?

How does data analytics help decision-makers in organizations?

By analyzing customer data, organizations can better understand customer needs, preferences, and behaviors. What is this process called?

How can big data and analytics help organizations optimize various aspects of their operations?

What does predictive analytics enable organizations to do based on historical data?

What refers to collecting, processing, cleaning, and analyzing large datasets to help organizations operationalize their big data?

What process involves gathering both structured and unstructured data from a variety of sources?

Once data is collected and stored, what must be done to ensure accurate results on analytical queries?

What processing method looks at large data blocks over time and is useful when there is a longer turnaround time between collecting and analyzing data?

What processing method looks at small batches of data at once, shortening the delay time between collection and analysis?

What process involves scrubbing data to improve quality and eliminate duplicative or irrelevant data?

What is the process of turning big data into big insights once it is in a usable state?

What process sorts through large datasets to identify patterns and relationships by identifying anomalies and creating data clusters?

What uses an organization's historical data to make predictions about the future, identifying upcoming risks and opportunities?

What imitates human learning patterns by using artificial intelligence and machine learning to find patterns in complex data?

What are the types of big data analytics?

What refers to data that can be easily read and interpreted, helping create reports and visualize information?

What helps companies understand why a problem occurred by mining and recovering data?

What looks at past and present data to make predictions using AI, machine learning, and data mining?

What provides a solution to a problem by relying on AI and machine learning for risk management?

What is an open-source framework that stores and processes big data sets, handling both structured and unstructured data?

What is an open-source cluster computing framework used for real-time processing and analyzing data?

What programs allow big data to be streamlined across different platforms like MongoDB, Apache, and Amazon EMR?

What systems filter, aggregate, and analyze data stored in different platforms and formats, such as Kafka?

What databases can split data across multiple servers and identify lost or corrupt data, such as Cassandra?

What systems process large amounts of complex data using machine learning algorithms to predict future outcomes?

What programs allow users to search within structured and unstructured big data?

What are non-relational data management systems ideal for dealing with raw and unstructured data?

What is the storage for large amounts of data collected from many different sources, typically using predefined schemas?

Ask Our AI Tutor

Get Instant Help with Your Questions

Need help understanding a concept or solving a problem? Type your question below, and our AI tutor will provide a personalized answer in real-time!

How it works

Ask any academic question, and our AI tutor will respond instantly with explanations, solutions, or examples.

Get Started

Browse questions and discover topic-based flashcards
Practice with engaging flashcards designed for each subject
Strengthen memory with concise, effective learning tools

Discover By Topic

Comprehensive Guide to Big Data and Analytics Concepts and Tools

Related Decks