Big Data Overview and Trends
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Questions and Answers

Which programming languages are mentioned as basic skills for data integration and analytics?

  • Python and Ruby
  • Scala and C++
  • JavaScript and PHP
  • R and Java (correct)

    • Which tool is primarily associated with in-memory data processing?

  • Hadoop
  • Storm
  • MySQL
  • Spark (correct)

    • What type of programming model is designated for batch processing in big data?

  • Batch Parallel Programming (correct)
  • Sequential Programming
  • Streaming Programming
  • Real-time Programming

    • Which tool is NOT part of the big data tools mentioned for data management?

    <p>SQL Server</p> Signup and view all the answers

    What role do 'actionable insights' play in the context of big data?

    <p>They facilitate decision making and learning.</p> Signup and view all the answers

    Which of the following best describes 'Knowledge Transformation into Actions' in big data?

    <p>It involves converting insights into practical applications.</p> Signup and view all the answers

    Which of the following technologies is associated with streaming programming in big data environments?

    <p>Kafka</p> Signup and view all the answers

    What background is expected for individuals working with big data analytics?

    <p>Mathematical and quantitative capabilities.</p> Signup and view all the answers

    Which of the following best describes the skill set essential for a Data Scientist?

    <p>Expertise in programming, analytical skills, and business needs</p> Signup and view all the answers

    Which of the following tools is NOT traditionally associated with Data Mining?

    <p>JavaScript</p> Signup and view all the answers

    What is a primary role of a Data Analyst?

    <p>Performing data quality cleansing and preprocessing</p> Signup and view all the answers

    Which of the following is a major cloud-based IaaS provider?

    <p>Amazon</p> Signup and view all the answers

    What is an essential soft skill for professionals in data mining?

    <p>Social intelligence and teamwork</p> Signup and view all the answers

    What combination of data is used in the Ford Challenge project?

    <p>Vehicular, environmental, and driver physiological data</p> Signup and view all the answers

    Which of the following skills is NOT related to the Data Mining lifecycle?

    <p>Scripting in HTML</p> Signup and view all the answers

    What is Yarn primarily used for in IT infrastructures?

    <p>Cluster management</p> Signup and view all the answers

    What is an example of unstructured data?

    <p>A poem by William Carlos Williams</p> Signup and view all the answers

    Which task involves formulating strategies to achieve objectives?

    <p>Planning</p> Signup and view all the answers

    What is a common challenge in data collection from sensors?

    <p>Needs dedicated infrastructure</p> Signup and view all the answers

    Which process involves selecting a logical choice from available options?

    <p>Decision making</p> Signup and view all the answers

    Which of the following is not a factor influencing commute time?

    <p>Personal preferences</p> Signup and view all the answers

    What is the primary purpose of problem-solving?

    <p>To reach a solution</p> Signup and view all the answers

    In the context of big data, which task is aimed at using meaningful information?

    <p>Planning</p> Signup and view all the answers

    What influences the accessibility of data collected from sensors?

    <p>The availability of specialized infrastructure</p> Signup and view all the answers

    What are the primary characteristics that define Big Data?

    <p>High volume, variety, velocity, and value</p> Signup and view all the answers

    Which of the following best describes the concept of an analytic sandbox?

    <p>A secure environment for data experimentation</p> Signup and view all the answers

    How does Business Intelligence (BI) primarily differ from Data Science?

    <p>BI focuses on descriptive analytics, while Data Science emphasizes predictive analytics</p> Signup and view all the answers

    Which of the following is a challenge faced by data scientists in the current analytical architecture?

    <p>Complex data integration and processing</p> Signup and view all the answers

    Which of the following best captures the progression within the Knowledge Cycle?

    <p>Data → Information → Knowledge → Intelligence</p> Signup and view all the answers

    What does the term 'value' refer to in the context of Big Data?

    <p>The positive utility that data can provide</p> Signup and view all the answers

    What is meant by the 'Skill – Rule – Knowledge Triangle' in data processing capabilities?

    <p>A framework for the relationship between data and knowledge acquisition</p> Signup and view all the answers

    What role does cloud computing play in the context of Big Data?

    <p>It enables scalable storage and processing capabilities</p> Signup and view all the answers

    What is one of the key requirements for handling big data?

    <p>New data architectures</p> Signup and view all the answers

    Which of the following captures the most data daily among the mentioned platforms?

    <p>Facebook</p> Signup and view all the answers

    What issue may arise due to the vast connection of devices in smart technology?

    <p>Communication bottlenecks</p> Signup and view all the answers

    What is a characteristic of unstructured data?

    <p>No inherent structure</p> Signup and view all the answers

    Which type of data is generally semi-structured?

    <p>XML data files</p> Signup and view all the answers

    What technology focuses on the processing and analyzing aspect of big data?

    <p>Middleware</p> Signup and view all the answers

    What does the Internet of Things (IoT) refer to?

    <p>A network of interconnected computing devices</p> Signup and view all the answers

    Which aspect distinguishes quasi-structured data from fully unstructured data?

    <p>Erratic data formats</p> Signup and view all the answers

    What device generates half of the total data traffic as mentioned?

    <p>Smartphones</p> Signup and view all the answers

    What is the potential bottleneck caused by processing large volumes of data?

    <p>Processing bottleneck</p> Signup and view all the answers

    Which keyword is associated with embedded intelligence in the context of data technology?

    <p>Smart devices</p> Signup and view all the answers

    Which data is considered structured data?

    <p>Transaction data</p> Signup and view all the answers

    What is a possible challenge of achieving a balance between quality of life and quality of service in data usage?

    <p>Consumer privacy concerns</p> Signup and view all the answers

    What analytical methodology is essential for big data analysis?

    <p>Predictive analytics</p> Signup and view all the answers

    Study Notes

    Big Data Characteristics

    • Big Data is data that is large in volume, arrives from diverse sources, changes rapidly, and has positive value.
    • Big Data requires new data architectures, unique analytics tools and methodologies, and a team with diverse skillsets.
    • The amount of data being generated is exploding due to the Internet of Things, Web 3.0, and ubiquitous sensor devices.
    • Smart phones and mobile devices generate a significant portion of data traffic.
    • New technologies are emerging to address the challenges of sensing, networking, analyzing, and applying big data.

    Big Data Structures

    • Data growth is increasingly unstructured, with structured, semi-structured, and unstructured data types becoming prevalent.

    Big Data Usage and Typical Tasks

    • Big data is used for problem-solving, learning, decision making, and planning.
    • Typical scenarios involve utilizing data from various sources to predict and analyze real-life situations.

    Expected Background for Big Data Professionals

    • Knowledge of mathematics, statistics, and statistical software (R, Python) is essential.
    • Basic programming skills are expected.

    Big Data Tools and Sandbox

    • A variety of tools are available for processing big data, including:
      • Data analytics tools (Mahout, R, Python)
      • High-level programming languages (Hive, Pig)
      • Batch and streaming programming models (Hadoop, Storm, Kafka)
      • In-memory data processing platforms (Spark, Giraph)
      • Data management systems (Hbase, MongoDB, MySQL)
      • Distributed coordination frameworks (Zookeeper)
      • Cluster management systems (Yarn)
      • File systems (HDFS, GPFS)
      • Infrastructure as a Service (IaaS) providers (Amazon, Azure, OpenStack, Docker)
      • Monitoring tools (Ganglia, Nagios)

    Data Mining Professions

    • There are various roles in the data mining industry:
      • Manager (business/domain expert)
      • Data Science Solution Architect
      • Data Mining Application Programmer (Data Scientist)
      • Data Analyst
      • Data Infrastructure Specialist (storage, cloud, computation)

    Skills Required for Data Mining

    • Competences:
      • Data Machine Learning
      • Data Management (query, format, quality, cleansing, preprocessing)
      • Scientific/Research Methods
      • Business knowledge relevant to the application domain
      • Mathematics and Statistics
    • Data Mining Tools and Platforms:
      • Data analytics platforms
      • Math & Stats apps & tools
      • Databases (SQL and NoSQL)
      • Data Management and Curation platforms
      • Data visualization tools
      • Cloud-based platforms and tools
    • Programming Languages and IDEs:
      • General and specialized development platforms for data analysis and statistics
    • Soft Skills:
      • Personal and interpersonal communication, team work

    Stay Alert: The Ford Challenge

    • The Ford Challenge focuses on using data to develop a classifier that can detect driver alertness.
    • The challenge utilizes vehicular, environmental, and driver physiological data to prevent accidents.

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    Related Documents

    Programming for Big Data - Introduction (1).pptx

    Description

    Explore the essential characteristics, trends, and technologies associated with big data. Learn about the types of data structures and typical tasks that leverage big data for real-world applications. This quiz is designed to deepen your understanding of the evolving landscape of big data.

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