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Questions and Answers
What is a characteristic of NoSQL databases?
What is a characteristic of NoSQL databases?
What type of database focuses on the relation between stored data elements?
What type of database focuses on the relation between stored data elements?
What is a common use of big data analytics?
What is a common use of big data analytics?
What is an example of a relational database?
What is an example of a relational database?
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What type of database stores data in nodes and edges?
What type of database stores data in nodes and edges?
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What is a characteristic of big data?
What is a characteristic of big data?
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What is a feature of document databases?
What is a feature of document databases?
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What is a common data size range in big data analytics?
What is a common data size range in big data analytics?
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What is the primary function of Hadoop in Big Data Analytics?
What is the primary function of Hadoop in Big Data Analytics?
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Which of the following databases is used to handle chunks of data?
Which of the following databases is used to handle chunks of data?
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What is the primary function of Talend in Big Data Analytics?
What is the primary function of Talend in Big Data Analytics?
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What is the primary function of Spark in Big Data Analytics?
What is the primary function of Spark in Big Data Analytics?
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What is the primary function of Kafka in Big Data Analytics?
What is the primary function of Kafka in Big Data Analytics?
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What is the Internet of Things (IoT) primarily used for?
What is the Internet of Things (IoT) primarily used for?
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What is the purpose of the sensing layer in IoT Architecture?
What is the purpose of the sensing layer in IoT Architecture?
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What is the purpose of the Internet gateways and Data Acquisition Systems in IoT Architecture?
What is the purpose of the Internet gateways and Data Acquisition Systems in IoT Architecture?
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What is the primary goal of Artificial Intelligence?
What is the primary goal of Artificial Intelligence?
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What is the main difference between Machine Learning and Artificial Intelligence?
What is the main difference between Machine Learning and Artificial Intelligence?
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What is the primary inspiration behind Deep Learning?
What is the primary inspiration behind Deep Learning?
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What is the definition of Data?
What is the definition of Data?
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What is the primary function of a Database Management System (DBMS)?
What is the primary function of a Database Management System (DBMS)?
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What is one of the benefits of using a Database Management System (DBMS)?
What is one of the benefits of using a Database Management System (DBMS)?
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What is the definition of a Database?
What is the definition of a Database?
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What is the primary goal of Data Management?
What is the primary goal of Data Management?
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Study Notes
Artificial Intelligence (AI) and Machine Learning (ML)
- AI involves machines that can perform tasks characteristic of human intelligence.
- Machine Learning (ML) is a way to achieve AI by "training" algorithms to learn from huge amounts of data.
- Deep Learning (DL) is an approach to ML, inspired by the brain's structure and function.
- Artificial Neural Networks (ANNs) mimic the biological structure of the brain.
Database Management for Data Science
- Data refers to individual facts, statistics, or items of information, often numeric.
- A database is a structured set of data held in a computer's memory or on the cloud.
- Database Management Systems (DBMS) optimize and manage data storage and retrieval.
Types of Databases
- Relational databases focus on relationships between stored data elements.
- Examples of relational databases include Microsoft SQL Server, Oracle, MySQL, and IBM DB2.
- NoSQL databases store data differently than relational tables, with types including:
- Document databases (e.g., MongoDB)
- Key-value databases
- Wide-column databases
- Graph databases
Big Data Analytics
- Big Data refers to massive amounts of data that cannot be stored, processed, or analyzed using traditional tools.
- Big data analytics uses advanced techniques against large, diverse data sets, including structured, semi-structured, and unstructured data.
- Tools used in big data analytics include Hadoop, MongoDB, Talend, Cassandra, Spark, STORM, and Kafka.
Internet of Things (IoT)
- The Internet of Things (IoT) describes physical objects embedded with sensors, processing ability, software, and other technologies that connect and exchange data with other devices and systems over the Internet or other communications networks.
- IoT is an evolution of mobile, home, and embedded applications interconnected to each other.
- Examples of IoT include adjusting lighting and controlling devices remotely using mobile devices.
IoT Architecture
- The four stages of IoT Architecture are:
- Sensors and actuators – Sensing layer for Data Gathering
- Internet gateways and Data Acquisition Systems – Network layer for Data Transmission
- (not specified in the text)
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Description
Learn the fundamentals of Artificial Intelligence, Machine Learning, and Deep Learning. Understand the differences between AI, ML, and DL and how they are used in decision making.