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Alex Korban

In almost every database you will find time values and temporal data. This course will teach you how to deal with time, time zones, and more complex temporal data in PostgreSQL effectively.

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In almost every database you will find time values and temporal data. This course will teach you how to deal with time, time zones, and more complex temporal data in PostgreSQL effectively.

When your data has a temporal aspect, dealing with time, time zones, and time-based relationships gets very complicated quickly. In this course, PostgreSQL 9: Time and Temporal Data, you'll learn how to handle the time dimension of your data in a structured way. First, you'll learn about the date and time related types, and functions built into PostgreSQL. Next, you'll explore how to work with time zones. Finally, you'll discover how to design temporal tables, and how to query and maintain data in them. When you’re finished with this course, you'll have the skills and understanding of temporal data and time representations needed to manage temporal data effectively. Software required: PostgreSQL.

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What's inside

Syllabus

Course Overview
Getting Started with Times, Dates, and Intervals
Working with Ranges, Current Time, and Sequences
Dealing with Time Zones
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Keeping Track of Changing Entities
Querying and Maintaining Temporal Data
Interacting with Client Applications
Managing Time Related Configuration

Good to know

Know what's good
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, and possible dealbreakers
Provides a structured approach to managing temporal data in SQL databases, especially PostgreSQL
Covers essential concepts like date and time types, functions, and time zones, crucial for handling temporal data effectively
Guides learners through designing and querying temporal tables, a specialized data structure for managing time-varying data
Taught by experienced instructors, Alex Korban, who specializes in PostgreSQL and temporal data management
Requires familiarity with PostgreSQL, which may limit accessibility for beginners
May not cover all advanced concepts and techniques related to temporal data management

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in PostgreSQL 9: Time and Temporal Data with these activities:
Review your notes on date and time functions in SQL
Reviewing your notes on date and time functions in SQL will help you refresh your memory on the basics before starting the course.
Browse courses on Date and Time Functions
Show steps
  • Gather your notes on date and time functions in SQL.
  • Read through your notes and make sure you understand the concepts.
Review Introduction to SQL
Review the fundamentals of SQL before taking the course can provide a solid foundation and prepare for success in the more advanced topics covered.
Browse courses on SQL
Show steps
  • Read through the chapter on SQL in a textbook or online resource.
  • Watch video tutorials on SQL basics.
  • Complete interactive exercises or quizzes to test understanding.
Gather resources on temporal data in PostgreSQL
Gathering resources on temporal data in PostgreSQL will help you build a strong foundation for the course.
Show steps
  • Search for articles, tutorials, and documentation on temporal data in PostgreSQL.
  • Organize the resources in a central location.
  • Review the resources regularly.
Eight other activities
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Join a study group to discuss temporal data concepts
Joining a study group to discuss temporal data concepts will help you understand the material better and connect with other students.
Show steps
  • Find a study group or create your own.
  • Meet regularly to discuss the course material.
  • Share your knowledge and insights with the group.
Practice converting between different time formats
Practicing converting between different time formats will help you understand how to work with time data in PostgreSQL effectively.
Show steps
  • Find a list of different time formats.
  • Write a script that converts between different time formats.
  • Test your script with different sets of data.
Experiment with different time zone settings
Experimenting with different time zone settings will help you understand how to handle time zones in PostgreSQL.
Browse courses on Time Zones
Show steps
  • Create a database with different time zone settings.
  • Insert data into the database with different time zone values.
  • Query the data and observe the effects of different time zone settings.
Time Zone Exercise
Practicing time zone conversions and calculations can enhance comprehension and improve problem-solving abilities when working with time-based data within PostgreSQL.
Browse courses on Time Zones
Show steps
  • Solve practice problems involving time zone conversions.
  • Create a table with different time zones and practice querying and manipulating the data.
  • Write a function to convert time zones.
Follow a tutorial on temporal data modeling
Following a tutorial on temporal data modeling will help you understand how to design and implement temporal tables in PostgreSQL.
Browse courses on Temporal Tables
Show steps
  • Find a tutorial on temporal data modeling in PostgreSQL.
  • Follow the tutorial step-by-step.
  • Create your own temporal table based on what you learned in the tutorial.
Create test cases with time-based constraints
Creating test cases with time-based constraints will help you understand how to design and query temporal tables.
Browse courses on Temporal Tables
Show steps
  • Identify the time-based constraints for your test cases.
  • Create a temporal table with the appropriate columns and constraints.
  • Insert data into the temporal table.
  • Write queries to test the time-based constraints.
Build a dashboard that visualizes temporal data
Building a dashboard that visualizes temporal data will help you understand how to present and analyze time-based information effectively.
Browse courses on Data Visualization
Show steps
  • Gather the data you want to visualize.
  • Choose a visualization tool.
  • Design the dashboard.
  • Deploy the dashboard.
Temporal Data Modeling Project
Creating a temporal data model and implementing it in PostgreSQL will reinforce the concepts learned in the course and provide practical experience in designing and managing temporal data.
Browse courses on Temporal Tables
Show steps
  • Identify a scenario that requires temporal data management.
  • Design the temporal data model using the concepts learned in the course.
  • Implement the temporal data model in PostgreSQL.
  • Query and manipulate the temporal data using SQL.

Career center

Learners who complete PostgreSQL 9: Time and Temporal Data will develop knowledge and skills that may be useful to these careers:
Database Administrator
Database Administrators (DBAs) play a crucial role in ensuring the reliability, performance, and security of organizational databases. With a deep understanding of database management systems like PostgreSQL, DBAs are responsible for tasks such as database design, performance tuning, backup and recovery, and data integrity maintenance. The PostgreSQL 9: Time and Temporal Data course provides valuable knowledge and skills specific to managing time-related data in PostgreSQL. By mastering the concepts of time zones, temporal tables, and time-based queries, you will be well-equipped to handle the unique challenges of working with time-sensitive data in a database environment.
Data Architect
Data Architects design and manage data architectures that meet the needs of an organization. Time-related data is often a critical component of data architectures, as businesses need to store and manage data over time for various purposes. The PostgreSQL 9: Time and Temporal Data course provides Data Architects with a comprehensive understanding of time-related data management, enabling them to design and implement data architectures that effectively handle time-sensitive data and support the organization's business objectives.
Data Engineer
Data Engineers play a vital role in designing, building, and maintaining data pipelines and infrastructure. They ensure that data is properly collected, processed, and stored for efficient access and analysis. Timeliness and data freshness are critical aspects of data engineering, as businesses rely on up-to-date data for decision-making. The PostgreSQL 9: Time and Temporal Data course provides Data Engineers with the knowledge and skills to effectively manage time-related data, ensuring that data pipelines deliver timely and accurate information to stakeholders.
Actuary
Actuaries use mathematical and statistical techniques to assess and manage financial risks and uncertainties. Time plays a crucial role in actuarial work, as actuaries must consider the impact of time on financial outcomes, such as the value of insurance policies and pension plans. The PostgreSQL 9: Time and Temporal Data course provides Actuaries with a strong foundation in time-related data management, enabling them to effectively analyze time series data, develop actuarial models, and make informed decisions that manage financial risks and protect the interests of policyholders.
Financial Analyst
Financial Analysts provide valuable insights and advice to businesses and individuals regarding investment decisions, financial planning, and risk management. Time plays a critical role in financial analysis, as analysts must consider the impact of time value of money, historical trends, and future projections. The PostgreSQL 9: Time and Temporal Data course offers a comprehensive understanding of time-related data management, enabling Financial Analysts to effectively analyze financial data over time, perform time series analysis, and make informed decisions based on temporal insights.
Business Analyst
Business Analysts are responsible for analyzing business processes, identifying areas for improvement, and developing solutions to enhance efficiency and productivity. Time management is a key aspect of business analysis, as analysts must understand how time impacts business operations, customer behavior, and market trends. The PostgreSQL 9: Time and Temporal Data course provides a strong foundation in time-related data management, helping Business Analysts effectively analyze time-dependent data, conduct time-based forecasting, and make data-driven recommendations that optimize business outcomes.
Statistician
Statisticians apply mathematical and statistical techniques to analyze and interpret data, providing valuable insights for decision-making in various fields. Time series analysis is a specialized area of statistics that focuses on analyzing data collected over time. The PostgreSQL 9: Time and Temporal Data course offers a solid foundation in time-related data management, equipping Statisticians with the skills to effectively analyze time series data, identify trends and patterns, and make accurate forecasts.
Data Scientist
Data Scientists delve deep into large volumes of data in order to extract meaningful insights and trends. In this role, you will leverage powerful algorithms and statistical models to uncover hidden patterns and correlations within complex datasets. By understanding how to effectively manage time-related data, as taught in PostgreSQL 9: Time and Temporal Data, you will be better equipped to analyze time series data, conduct time-based forecasting, and identify temporal trends with greater accuracy. This course provides a solid foundation for building robust data analysis models that harness the power of time-related information.
Operations Analyst
Operations Analysts are responsible for analyzing and improving the efficiency and effectiveness of business operations. Time management is crucial in this role, as analysts must identify bottlenecks, optimize processes, and ensure smooth operations. The PostgreSQL 9: Time and Temporal Data course provides Operations Analysts with a solid understanding of time-related data management, enabling them to analyze time-dependent operational data, identify areas for improvement, and develop data-driven solutions to enhance operational performance.
Market Researcher
Market Researchers analyze market trends, customer behavior, and competitive landscapes to provide insights for business decision-making. Time plays a critical role in market research, as analysts must understand how market trends change over time and how consumers' preferences evolve. The PostgreSQL 9: Time and Temporal Data course offers Market Researchers a strong foundation in time-related data management, enabling them to effectively analyze time series data, identify emerging trends, and make data-driven recommendations that support successful marketing campaigns.
Software Engineer
Software Engineers design, develop, and maintain software applications that meet the needs of users. Time management is an essential aspect of software engineering, as developers must estimate development timelines, track project progress, and ensure timely delivery. The PostgreSQL 9: Time and Temporal Data course provides Software Engineers with a foundation in time-related data management, enabling them to effectively track and manage time-sensitive software development tasks, improve project planning, and enhance software quality.
Budget Analyst
Budget Analysts plan, develop, and monitor budgets to ensure efficient and responsible use of financial resources. Time plays a critical role in budget analysis, as analysts must track budget execution over time, forecast future financial needs, and identify areas for optimization. The PostgreSQL 9: Time and Temporal Data course provides Budget Analysts with a foundation in time-related data management, enabling them to effectively analyze time-dependent budget data, identify spending trends, and make data-driven recommendations for budget planning and allocation.
Risk Analyst
Risk Analysts identify, assess, and mitigate risks that may impact an organization's operations, reputation, or financial stability. Time is a key factor in risk analysis, as analysts must consider the potential impact of risks over time and develop strategies to minimize their impact. The PostgreSQL 9: Time and Temporal Data course provides Risk Analysts with a solid understanding of time-related data management, enabling them to effectively analyze historical risk data, identify emerging risks, and develop proactive risk management plans.
Compliance Analyst
Compliance Analysts ensure that organizations comply with relevant laws, regulations, and industry standards. Time is often a critical factor in compliance, as organizations must track compliance activities over time and demonstrate adherence to regulations. The PostgreSQL 9: Time and Temporal Data course provides Compliance Analysts with a solid understanding of time-related data management, enabling them to effectively track compliance activities, analyze compliance data over time, and generate reports that demonstrate compliance with regulatory requirements.
Project Manager
Project Managers are responsible for planning, organizing, and executing projects to achieve specific goals within defined constraints. Time management is a critical aspect of project management, as projects must be completed on schedule and within budget. The PostgreSQL 9: Time and Temporal Data course equips Project Managers with the skills to effectively manage time-related aspects of projects, including project planning, scheduling, risk management, and progress tracking.

Reading list

We've selected ten books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in PostgreSQL 9: Time and Temporal Data.
Provides a comprehensive overview of PostgreSQL, including detailed coverage of temporal data types and functions. It valuable resource for beginners and experienced users alike who want to deepen their understanding of PostgreSQL's temporal capabilities.
Provides a comprehensive collection of practical recipes and solutions for common SQL problems, including working with dates and times. It can serve as a valuable reference for PostgreSQL users looking to enhance their skills in handling temporal data.
Delves into the theoretical foundations of temporal data management, providing a comprehensive understanding of the concepts and techniques involved in representing and querying temporal data. It valuable resource for those seeking a deeper theoretical understanding of the subject matter covered in the course.
This cookbook provides a collection of practical recipes for administering PostgreSQL 9, including several recipes for working with time and temporal data. It valuable resource for anyone who wants to learn more about how to manage PostgreSQL effectively.
Practical guide to PostgreSQL, covering all aspects of the database, including time and temporal data. It valuable resource for anyone who wants to learn more about how to use PostgreSQL in practice.
Provides a comprehensive introduction to PostgreSQL, including a chapter on working with time and temporal data. It valuable resource for anyone who is new to PostgreSQL or who wants to learn more about its basic features.
Comprehensive guide to PostgreSQL, covering all aspects of the database, including time and temporal data. It valuable reference for anyone who wants to learn more about PostgreSQL.
Dieses Lehrbuch bietet eine umfassende Einführung in Datenbanksysteme, einschließlich eines Kapitels über die Arbeit mit Zeit und temporalen Daten. Es ist eine wertvolle Ressource für alle, die neu in Datenbanken sind oder mehr über ihre grundlegenden Funktionen erfahren möchten.
Practical guide to PostgreSQL, covering all aspects of the database, including time and temporal data. It valuable resource for anyone who wants to learn more about how to use PostgreSQL in practice.
Guide to developing high-performance PostgreSQL databases. It covers topics such as query optimization, indexing, and concurrency control. It valuable resource for anyone who wants to learn more about how to optimize PostgreSQL databases.

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