CPE413: Data Science Concepts

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Questions and Answers

What is the main characteristic that distinguishes data from information?

  • Information is collected from various sources, while data is gathered from specific sources.
  • Information is always more valuable than data, regardless of its context.
  • Data is always numerical, while information can be both numerical and textual.
  • Data is unprocessed facts and figures, while information is processed data with context. (correct)

What is an example of data representation?

  • A report summarizing the impact of sales trends.
  • A decision made by a manager based on sales figures.
  • A graph visualizing sales trends over time.
  • A spreadsheet containing sales figures for different products. (correct)

What is the primary purpose of data processing?

  • To present data in a visually appealing format.
  • To organize and structure data for easier understanding. (correct)
  • To collect data from various sources.
  • To analyze data and extract meaningful insights.

What are the three fundamental stages of the data processing cycle?

<p>Input, processing, output. (B)</p> Signup and view all the answers

What stage of the data processing cycle involves transforming raw data into a useful format?

<p>Input (A)</p> Signup and view all the answers

What is the goal of the processing stage in the data processing cycle?

<p>To generate meaningful and practical information from the input data. (B)</p> Signup and view all the answers

What are the common types of storage media used for storing data during the input stage when using electronic computers?

<p>Hard disks, CDs, and flash disks. (B)</p> Signup and view all the answers

How can data be represented?

<p>Through images, audio, and video, in addition to characters, numerals, and symbols. (B)</p> Signup and view all the answers

Which of these components within the Hadoop ecosystem is responsible for the storage of extensive datasets, regardless of structure?

<p>HDFS (D)</p> Signup and view all the answers

What is the primary purpose of 'Yet Another Resource Negotiator' (YARN) within the Hadoop ecosystem?

<p>Scheduling and coordinating jobs in the cluster (A)</p> Signup and view all the answers

Within the Hadoop ecosystem, which component plays a crucial role in managing the cluster and ensuring smooth operation?

<p>Zookeeper (A)</p> Signup and view all the answers

Which of these Hadoop components is directly associated with providing a NoSQL database for unstructured data?

<p>HBase (A)</p> Signup and view all the answers

Within the Hadoop ecosystem, what is the primary function of the MapReduce programming framework?

<p>Programming-based data processing across distributed nodes (C)</p> Signup and view all the answers

Which of these components is responsible for processing data in-memory within the Hadoop ecosystem, providing faster execution speeds compared to traditional disk-based processing?

<p>Spark (B)</p> Signup and view all the answers

What is the primary purpose of the Oozie component in the Hadoop ecosystem?

<p>Scheduling and coordinating jobs in the cluster (C)</p> Signup and view all the answers

Which of the following Hadoop components is NOT directly involved in managing or processing data in any way?

<p>Zookeeper (C)</p> Signup and view all the answers

What is the primary role of the Name Node in HDFS?

<p>It stores the metadata about the data stored in the system. (B)</p> Signup and view all the answers

What is the primary function of the YARN framework within Hadoop?

<p>It is used to schedule and allocate resources across the Hadoop cluster. (C)</p> Signup and view all the answers

What is the role of the Resource Manager in YARN?

<p>It distributes resources across applications within the Hadoop system. (C)</p> Signup and view all the answers

Which of the following is NOT a component of the YARN framework?

<p>Data Node (B)</p> Signup and view all the answers

What is the primary function of the Map() function in the MapReduce framework?

<p>It sorts and filters data, dividing data into groups. (D)</p> Signup and view all the answers

What is the primary function of the Reduce() function in the MapReduce framework?

<p>It summarizes data by aggregating the mapped data. (A)</p> Signup and view all the answers

Which statement best describes the relationship between HDFS and MapReduce?

<p>HDFS provides the storage layer for data used by MapReduce to perform parallel processing. (A)</p> Signup and view all the answers

What is the primary advantage of using commodity hardware in Hadoop?

<p>It offers a cost-effective way to build large-scale distributed systems. (A)</p> Signup and view all the answers

What is the primary objective of data preprocessing?

<p>To ensure that the data is ready for analysis and decision-making. (D)</p> Signup and view all the answers

Which of the following is NOT a characteristic of infrastructure required for data acquisition in big data?

<p>Ability to handle static data structures. (C)</p> Signup and view all the answers

What is the main goal of data analysis in the context of big data?

<p>To identify and extract valuable insights and knowledge from data. (A)</p> Signup and view all the answers

Which of these activities is NOT typically considered part of data curation?

<p>Data analysis and prediction. (B)</p> Signup and view all the answers

What is the key role of a data curator?

<p>Enhancing the quality, accessibility, and usability of data. (B)</p> Signup and view all the answers

What does data persistence and management refer to in the context of big data storage?

<p>Ensuring data is stored and organized for efficient retrieval and analysis. (C)</p> Signup and view all the answers

Which area is directly related to the identification of patterns and trends from data?

<p>Data analysis. (D)</p> Signup and view all the answers

What is the main challenge in data acquisition for big data?

<p>The need for robust infrastructure to handle massive data volumes. (B)</p> Signup and view all the answers

What is the primary reason for utilizing clustered computing when handling big data?

<p>To overcome the limitations of individual computers in managing large datasets. (D)</p> Signup and view all the answers

What is the primary benefit of resource pooling within a clustered computing environment?

<p>It allows for the efficient allocation of available resources, optimizing performance and reducing downtime. (C)</p> Signup and view all the answers

In the context of clustered computing for big data, why is high availability crucial?

<p>To prevent data loss due to hardware or software failures, maintaining data integrity and availability. (C)</p> Signup and view all the answers

What is the main advantage of using clusters for horizontal scalability in big data processing?

<p>It allows for the seamless addition of new machines to the cluster, increasing processing power and storage capacity as needed. (C)</p> Signup and view all the answers

Which of the following is NOT a key characteristic of big data, as described in the 3V's and beyond?

<p>Versatility (C)</p> Signup and view all the answers

What is the role of software like Hadoop's YARN in a clustered computing environment?

<p>It handles cluster membership and resource allocation, coordinating the utilization of resources across individual nodes. (A)</p> Signup and view all the answers

Which component within the Hadoop ecosystem is specifically designed for managing coordination and synchronization across Hadoop's resources and components, addressing potential inconsistencies?

<p>Zookeeper (A)</p> Signup and view all the answers

Which of the following is NOT a benefit of using clustered computing for managing big data?

<p>Enhanced data security through centralized control and access management. (B)</p> Signup and view all the answers

What is the primary role of a computing cluster in the context of big data processing?

<p>To provide a foundation for other software to interact with for data processing. (B)</p> Signup and view all the answers

What distinguishes Oozie's Coordinator jobs from its Workflow jobs?

<p>Coordinator jobs are triggered by external stimuli, while Workflow jobs follow a defined sequence. (C)</p> Signup and view all the answers

Apache HBase is characterized as a NoSQL database. What key characteristic sets it apart from traditional SQL databases?

<p>HBase excels at handling unstructured data, whereas traditional SQL databases are better suited for structured data. (D)</p> Signup and view all the answers

Which component of the Hadoop ecosystem offers features comparable to Google's BigTable?

<p>Apache HBase (A)</p> Signup and view all the answers

What is the primary purpose of Solr and Lucene in the Hadoop ecosystem?

<p>Providing efficient search and indexing capabilities. (D)</p> Signup and view all the answers

What is the primary advantage of using HBase when searching for specific elements within a massive database?

<p>HBase allows for quick and efficient data retrieval. (A)</p> Signup and view all the answers

Why is Hadoop considered well-suited for processing structured data over unstructured data?

<p>Hadoop's architecture is optimized for handling large volumes of structured data. (B)</p> Signup and view all the answers

Flashcards

Data

Codified representation of facts and concepts for communication.

Information

Processed data that is meaningful and useful for decision-making.

Data Processing Cycle

The process of transforming input data through stages: input, processing, and output.

Input

The first stage of the data processing cycle where raw data is collected.

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Processing

The stage in the data processing cycle where input data is transformed into meaningful information.

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Output

The final stage of the data processing cycle where processed information is made available.

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Data Representation

The format used to display and organize data, such as characters and symbols.

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Big Data

Large volumes of data that require advanced methods for processing and analysis.

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Data Preprocessing

The systematic procedures of collecting, filtering, and refining data before storage.

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Data Acquisition

The process of collecting large-scale data efficiently with low latency.

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Data Analysis

The examination and modeling of data to extract valuable knowledge and insights.

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Data Lifecycle Management

The proactive administration of data through its entire lifespan.

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Data Curation

Enhancing the accessibility and quality of data through various activities.

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Data Curators

Proficient individuals responsible for the reliability and accessibility of data.

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Big Data Trends

Utilizing community and crowdsourcing methodologies in data management.

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Data Storage

Organizing and preserving data for efficient and rapid retrieval.

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3V's of Big Data

Three key characteristics of big data: Volume, Velocity, Variety.

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Volume

Large amounts of data measured in Zeta bytes or massive datasets.

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Velocity

The speed at which data is generated and processed, often in real-time.

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Variety

The different forms and types of data sourced from various origins.

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Veracity

The trustworthiness or accuracy of data being processed.

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Clustered Computing

The aggregation of multiple computer systems to manage big data effectively.

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Resource Pooling

Consolidating storage, CPU, and memory resources in clustered computing.

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Hadoop's YARN

A software that manages cluster membership and allocates resources in clustered computing.

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Hadoop

An open-source platform for processing large datasets across clusters.

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HDFS

Hadoop Distributed File System; it stores large datasets over many nodes.

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Scalable

Ability of a system to expand easily by adding nodes.

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Reliable

System maintains data copies to prevent loss from hardware failure.

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Economic

Cost-effectiveness by using standard computers for processing.

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Flexible

Stores both structured and unstructured data as per user needs.

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MapReduce

Programming model used for processing data within Hadoop.

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YARN

Yet Another Resource Negotiator; manages resources in Hadoop.

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Apache HBase

A NoSQL database that handles various data types within Hadoop.

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Real-time Data Processing

Spark is optimized for processing data as it streams in.

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Hadoop's Batch Processing

Hadoop is better suited for processing structured data in bulk.

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Lucene

A Java library for search and indexing, includes spell-check.

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Solr

A search platform that uses Lucene to index and search data efficiently.

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Zookeeper

Manages coordination and synchronization among Hadoop components.

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Oozie

A workflow scheduler for managing Hadoop jobs and tasks.

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Oozie Workflow vs Coordinator

Workflow has tasks in order; Coordinator activates jobs from data/events.

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Name Node

The central node in HDFS storing metadata about files and directories.

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Data Node

Nodes in HDFS responsible for storing actual data blocks.

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Resource Manager

Component of YARN that allocates resources across applications.

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Node Manager

Manages resources like CPU and memory at each node in YARN.

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Application Manager

Acts as a middle manager between resource and node managers in YARN.

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Study Notes

Module: Emerging Technologies in CPE413

  • Course offered by Pamantasan ng Lungsod ng San Pablo
  • Academic year 2023-2024
  • Instructors: Dr. Teresa A. Yema and Engr. Mario Jr. G. Brucal

Data Science

  • Defines data science as encompassing algorithms, systems, and scientific methodologies to extract insights from various data types (structured, semi-structured, and unstructured)
  • Differentiates data from information, describing information as processed data with significance and worth for decision-making.
  • Outlines the data processing cycle: Input, Processing, Output.
  • Explains that data types are categorized as structured, semi-structured, and unstructured.

Data and Information

  • Data is a coded representation of factual information, conceptual ideas, or instruction, effectively communicated or processed.
  • Information is processed data, significant for making choices and actions.
  • Data Processing Cycle includes Input, Processing, and Output phases.

Data Value Chain

  • The Data Value Chain details the progression of information through stages to derive insights from the data: Acquisition, Analysis, Curation, Storage, Usage.
  • Involves data's lifecycle management across many data systems by adhering to quality criteria, and efficient utilization.
  • Data curation activities involve content creation, selection, classification, transformation, validation, preservation to ensure accessibility and quality of data.

Big Data

  • Refers to large and complex datasets challenging traditional data processing tools.
  • Key characteristics of big data are volume (massive amounts), velocity (data in motion), variety (different forms), and veracity (trustworthiness).

Clustered Computing and Hadoop Ecosystem

  • Clustered computing addresses the limitations of single computers by aggregating the computational capabilities of smaller machines.
  • This approach offers resource pooling, high availability, and fault tolerance.
  • Hadoop is an open-source platform for handling and analyzing large datasets.
  • Key components of the Hadoop ecosystem include HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator), MapReduce, Pig, Hive, HBase, and others, such as Solr, Lucene, Oozie.

Data Storage

  • Data persistence and management refers to the effective storage, organization, and data retrieval mechanisms for applications needing efficient access.
  • Relational database management systems (RDBMS) have served as data storage solutions for a long time but are limited in handling complex big data scenarios.
  • NoSQL technologies provide alternative ways to achieve maximum scalability.

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