Podcast
Questions and Answers
Which application is commonly used for processing data streams?
Which application is commonly used for processing data streams?
What is a primary function of web scraping?
What is a primary function of web scraping?
Which of the following is NOT a popular web scraping tool?
Which of the following is NOT a popular web scraping tool?
Data streams can include information from which of the following sources?
Data streams can include information from which of the following sources?
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What is a common application used to leverage real-time data for threat detection?
What is a common application used to leverage real-time data for threat detection?
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Which of the following describes a feature of RSS feeds?
Which of the following describes a feature of RSS feeds?
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In which scenario is web scraping most likely to be beneficial?
In which scenario is web scraping most likely to be beneficial?
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Which of the following types of data is NOT typically associated with data streams?
Which of the following types of data is NOT typically associated with data streams?
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What is one application of sensor data feeds?
What is one application of sensor data feeds?
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What kind of information can web scrapers typically extract?
What kind of information can web scrapers typically extract?
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Study Notes
Data Sources Overview
- Organizations utilize a variety of dynamic and diverse data sources for business operations and analysis.
- Common data sources include Relational Databases, Flat Files, XML Datasets, APIs, Web Services, Web Scraping, Data Streams, and Feeds.
Relational Databases
- Internal applications manage activities such as customer transactions and HR functions using relational databases.
- Popular relational database systems: SQL Server, Oracle, MySQL, IBM DB2.
- Data from transactions and CRM systems can be analyzed for sales and forecasting.
Flat Files and XML Datasets
- External datasets are publicly and privately available, including government demographic and economic data.
- Flat files store data in plain text with records per line, using delimiters like commas (CSV) or tabs.
- Spreadsheets, a type of flat file, allow multiple worksheets to store data in a tabular format, capable of containing formatting and formulas.
- XML files support hierarchical data structures, marked by tags, and are commonly used for surveys and unstructured datasets.
APIs and Web Services
- APIs allow users and applications to interact with data sources, returning data in various formats (XML, JSON, HTML).
- Examples of popular APIs: Twitter and Facebook for sentiment analysis, Stock Market APIs for financial data, and Data Lookup APIs for validation and cleaning data.
- APIs are essential for accessing both internal and external database sources.
Web Scraping
- Web scraping extracts data from web pages based on defined parameters, also known as screen scraping or web harvesting.
- Common applications include gathering product details for price comparison, generating sales leads, and collecting datasets for machine learning.
- Popular web scraping tools: BeautifulSoup, Scrapy, Pandas, Selenium.
Data Streams
- Data streams provide constant data flow from sources such as IoT devices, GPS, and social media, often timestamped and geo-tagged.
- Uses include financial trading, supply chain management, threat detection, and monitoring web performance.
- Applications for processing data streams: Apache Kafka, Apache Spark Streaming, Apache Storm.
RSS Feeds
- RSS feeds capture updated data from forums and news sites, refreshing content continuously and allowing users to stay updated.
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Description
Explore the diverse data sources available today, including relational databases, flat files, XML datasets, APIs, web services, web scraping, and data streams. Understand how organizations leverage these sources to manage their internal applications and daily business activities effectively.
