Database systems
Universidad Nacional Autónoma de México via Coursera Specialization
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Overview
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This specialized program is aimed at computer people who want to enter the field of information systems and learn their different types of requirements, architectures, performance, techniques and tools so you can know when to use business intelligence, data mining, data science, databases , databases in memory or big data in order to have reliable, maintainable and scalable data intensive systems. Through 4 courses, you will cover [transactional relational databases, business intelligence and Data warehousing, NoSQL technologies, and reliable, scalable and maintainable data intensive applications that will prepare you for a specialized information system consultant or data scientist.
Syllabus
Course 1: Relational database systems
- Offered by Universidad Nacional Autónoma de México. Welcome to the specialization course Relational Database Systems. This course will be ... Enroll for free.
Course 2: Business intelligence and data warehousing
- Offered by Universidad Nacional Autónoma de México. Welcome to the specialization course Business Intelligence and Data Warehousing. This ... Enroll for free.
Course 3: NoSQL systems
- Offered by Universidad Nacional Autónoma de México. Welcome to the specialization course of NoSQL Systems. This course will be completed on ... Enroll for free.
Course 4: Designing data-intensive applications
- Offered by Universidad Nacional Autónoma de México. Welcome to the specialization course of Designing data-intensive applications. This ... Enroll for free.
- Offered by Universidad Nacional Autónoma de México. Welcome to the specialization course Relational Database Systems. This course will be ... Enroll for free.
Course 2: Business intelligence and data warehousing
- Offered by Universidad Nacional Autónoma de México. Welcome to the specialization course Business Intelligence and Data Warehousing. This ... Enroll for free.
Course 3: NoSQL systems
- Offered by Universidad Nacional Autónoma de México. Welcome to the specialization course of NoSQL Systems. This course will be completed on ... Enroll for free.
Course 4: Designing data-intensive applications
- Offered by Universidad Nacional Autónoma de México. Welcome to the specialization course of Designing data-intensive applications. This ... Enroll for free.
Courses
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Welcome to the specialization course of NoSQL Systems. This course will be completed on six weeks, it will be supported with videos and exercises that will allow you to identify the differences between the relational and NoSQL databases. As part of these alternative technologies the student will learn the main characteristics and how to implement the typical NoSQL databases, such as Key-value, columnar, document and graph. Let's start! After completing this course, a learner will be able to ● Identify what type of NoSQL database to implement based on business requirements (key-value, document, full text, graph, etc.) ● Apply NoSQL data modeling from application specific queries ● Use Atomic Aggregates and denormalization as data modelling techniques to optimize query processing Software to download: MongoDB Neo4j SAPIQ Cassandra In case you have a Mac / IOS operating system you will need to use a virtual Machine (VirtualBox, Vmware).
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Welcome to the specialization course Business Intelligence and Data Warehousing. This course will be completed on six weeks, it will be supported with videos and various documents that will allow you to learn in a very simple way how to identify, design and develop analytical information systems, such as Business Intelligence with a descriptive analysis on data warehouses. You will be able to understand the problem of integration and predictive analysis of high volume of unstructured data (big data) with data mining and the Hadoop framework. After completing this course, a learner will be able to ● Create a Star o Snowflake data model Diagram through the Multidimensional Design from analytical business requirements and OLTP system ● Create a physical database system ● Extract, Transform and load data to a data-warehouse. ● Program analytical queries with SQL using MySQL ● Predictive analysis with RapidMiner ● Load relational or unstructured data to Hortonworks HDFS ● Execute Map-Reduce jobs to query data on HDFS for analytical purposes Programming languages: For course 2 you will use the MYSQL language. Software to download: Rapidminer MYSQL Excel Hortonworks Hadoop framework In case you have a Mac / IOS operating system you will need to use a virtual Machine (VirtualBox, Vmware).
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Welcome to the specialization course of Designing data-intensive applications. This course will be completed on four weeks, it will be supported with videos and exercises. By the end of this specialization, learners will be able to propose, design, justify and develop high reliable information systems according to type of data and volume of information, response time, type of processing and queries in order to support scalability, maintainability, security and reliability considering the last information technologies. Software to download: MySQL Workbench Rapidminer Hadoop framework Hortonworks MongoDB In case you have a Mac / IOS operating system you need to perform an action called VirtualBox.
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Welcome to the specialization course Relational Database Systems. This course will be completed on six weeks, it will be supported with videos and various documents that will allow you to learn in a very simple way how several types of information systems and databases are available to solve different problems and needs of the companies. Objective: A learner will be able to design, test, and implement analytical, transactional or NoSQL database systems according to business requirements by programming reliable, scalable and maintainable applications and resources using SQL and Hadoop ecosystem. Programming languages: For course 1 you will use the MYSQL language. Software to download: MySQL Workbench In case you have a Mac / IOS operating system you will need to use a virtual Machine (VirtualBox, Vmware).
Taught by
María del Pilar Ángeles