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Presto Zone

Welcome to this course: PrestoDB: The Ultimate PrestoDB Course. Presto is an open-source software project to develop a database query engine using the standard Structured Query Language (SQL). It is a distributed system that runs on a cluster of machines. A full installation includes a coordinator and multiple workers. Queries are submitted from a client such as the Presto CLI to the coordinator. It can be visualized as one coordinator node working in sync with multiple worker nodes. Clients submit SQL statements that get parsed and planned following which parallel tasks are scheduled to workers. Workers jointly process rows from the data sources and produce results that are returned to the client.

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Welcome to this course: PrestoDB: The Ultimate PrestoDB Course. Presto is an open-source software project to develop a database query engine using the standard Structured Query Language (SQL). It is a distributed system that runs on a cluster of machines. A full installation includes a coordinator and multiple workers. Queries are submitted from a client such as the Presto CLI to the coordinator. It can be visualized as one coordinator node working in sync with multiple worker nodes. Clients submit SQL statements that get parsed and planned following which parallel tasks are scheduled to workers. Workers jointly process rows from the data sources and produce results that are returned to the client.

In this course, you'll learn:

  • Gain an in-depth understanding of PrestoDB

  • Learn and understand Presto architecture

  • Learn how to install and configure Presto

  • Learning Hadoop integrations

  • Learn how to query data

  • Understanding Presto Administration and Monitoring

  • Learn and understand Presto security

At the end of this course,  you will be equipped with all the required industry skills and knowledge to become a PrestoDB developer and administrator.

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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops skills and knowledge needed to become a PrestoDB developer and administrator
Offers in-depth understanding of PrestoDB architecture
Equips learners with industry-relevant skills
Teaches integration of Hadoop
Course curriculum includes installing and configuring PrestoDB
Covers querying data using SQL

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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 PrestoDB: The Ultimate PrestoDB Course with these activities:
Review SQL
Ensure you understand the basics of SQL since this course builds upon that knowledge.
Browse courses on SQL
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Create a study guide for PrestoDB concepts
Improve your understanding of PrestoDB concepts by creating a comprehensive study guide.
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  • Review course materials, textbooks, and online resources.
  • Summarize key concepts, definitions, and formulas.
  • Organize the study guide into logical sections and subsections.
  • Include practice questions and exercises for self-assessment.
Follow tutorials on PrestoDB basics
Reinforce your understanding of PrestoDB concepts and develop a solid foundation.
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Five other activities
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Show all eight activities
Participate in a study group or discussion forum on PrestoDB
Engage with peers to exchange knowledge, ask questions, and reinforce your understanding.
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Solve SQL querying challenges using PrestoDB
Enhance your practical skills in querying data using PrestoDB.
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  • Identify a dataset that aligns with your interests or professional goals.
  • Design and execute SQL queries using PrestoDB to extract insights from the dataset.
  • Analyze the results and draw meaningful conclusions.
  • Iterate on your queries to optimize performance and accuracy.
Develop a data analytics solution for a real-world problem using PrestoDB
Apply your PrestoDB skills to solve a real-world problem and create a valuable solution.
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  • Identify or define a specific problem that can be addressed using data analytics.
  • Gather and preprocess the necessary data using PrestoDB.
  • Develop and implement a data analytics pipeline using PrestoDB to process and analyze the data.
  • Visualize and interpret the results to identify patterns, trends, and insights.
  • Create a report or presentation to communicate your findings and recommendations.
Build a data analytics dashboard using PrestoDB
Apply your PrestoDB skills to create a practical and valuable data analytics dashboard.
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  • Choose a specific business or personal problem that you want to address with data.
  • Identify the relevant data sources and gather the required data.
  • Design and develop a data model using PrestoDB to structure and query the data.
  • Create interactive visualizations and dashboards using tools such as Tableau or Power BI.
  • Deploy and share your dashboard for use by stakeholders or end-users.
Contribute to the PrestoDB open-source project
Make a valuable contribution to the PrestoDB community and further enhance your skills.
Show steps
  • Identify an issue or feature request in the PrestoDB repository.
  • Research and develop a solution or implementation.
  • Create a pull request and submit your changes for review.
  • Collaborate with maintainers to address feedback and iterate on your contribution.
  • Get your contribution merged into the official PrestoDB codebase.

Career center

Learners who complete PrestoDB: The Ultimate PrestoDB Course will develop knowledge and skills that may be useful to these careers:
Database Administrator
A Database Administrator must have a strong understanding of database management systems in order to set up, configure, and maintain them. As PrestoDB is an open-source software project to develop a database query engine using the standard Structured Query Language (SQL), it is an important database management system that a Database Administrator should understand. This course provides a comprehensive overview of PrestoDB, which should make it easier for a Database Administrator to understand how to work with the software in a professional setting, thus making this course highly relevant to a Database Administrator.
Data Architect
A Data Architect designs and builds the architecture for an organization's data infrastructure. A Data Architect may work with a variety of data sources, data management tools, and data technologies to develop a data architecture that meets the organization's needs. This course may be helpful to a Data Architect as it provides a deep dive into the PrestoDB software, which is a popular data management tool that can be used to build a scalable and efficient data architecture.
Quantitative Analyst
A Quantitative Analyst uses mathematical and statistical methods to analyze and interpret financial data. A Quantitative Analyst may work with hedge funds, investment banks, and other financial institutions to develop and implement investment strategies. This course may be helpful to a Quantitative Analyst as it provides a deep dive into the PrestoDB software, which can be used to efficiently organize and analyze large and complex datasets, which is a common task for Quantitative Analysts.
Data Scientist
A Data Scientist uses statistical methods, machine learning, data visualization, and programming to extract insights from data. A Data Scientist may work on a variety of projects, including building predictive models and developing new algorithms. This course may be helpful to a Data Scientist as it provides a deep dive into the PrestoDB software, which is often used by Data Scientists to perform large-scale data analysis.
Machine Learning Engineer
A Machine Learning Engineer designs, builds, and maintains machine learning models. A Machine Learning Engineer may work with a variety of data sources and machine learning algorithms to develop models that can be used to solve a variety of business problems. This course may be helpful to a Machine Learning Engineer as it provides a deep dive into the PrestoDB software, which can be used to efficiently organize and analyze large and complex datasets, which is a common task for Machine Learning Engineers.
Software Developer
A Software Developer designs, builds, and maintains software applications. A Software Developer may work with a variety of programming languages and software development tools to develop applications that meet the needs of users. This course may be helpful to a Software Developer as it provides a deep dive into the PrestoDB software, which can be used to develop data-intensive applications that can efficiently process and analyze large amounts of data.
Data Engineer
A Data Engineer develops, constructs, and maintains the infrastructure used to store and process data for an organization. A Data Engineer may work with a database management system to create and maintain data pipelines that can pull raw data from disparate sources and convert it into a format that is more useful to end users. This course may be helpful to a Data Engineer as it provides comprehensive training on the PrestoDB database management software, which can be used to create an efficient data pipeline and to work effectively with large and complex datasets.
Business Intelligence Analyst
A Business Intelligence Analyst provides insights and recommendations to business stakeholders. A Business Intelligence Analyst may analyze and interpret an organization's data assets and other relevant information in order to develop actionable insights and to create visualizations that are helpful to decision makers. This course may be helpful to a Business Intelligence Analyst as it provides a deep dive into the PrestoDB software, which can be used to efficiently organize and analyze large and complex datasets, which is a common task for Business Intelligence Analysts.
Market Researcher
A Market Researcher conducts research on consumer markets and provides insights to help businesses make informed decisions. A Market Researcher may use a variety of methods, including surveys, focus groups, and data analysis, to collect and analyze data. This course may be helpful to a Market Researcher as it provides a deep dive into the PrestoDB software, which can be used to efficiently organize and analyze large and complex datasets, which is a common task for Market Researchers.
Operations Research Analyst
An Operations Research Analyst uses mathematical and analytical methods to improve the efficiency and effectiveness of an organization's operations. An Operations Research Analyst may work on a variety of projects, including developing new production schedules, improving customer service, and designing new products. This course may be helpful to an Operations Research Analyst as it provides a deep dive into the PrestoDB software, which can be used to efficiently organize and analyze large and complex datasets, which is a common task for Operations Research Analysts.
Statistician
A Statistician uses statistical methods to collect, analyze, interpret, and present data. A Statistician may work with data from a variety of sources, including surveys, experiments, and observational studies. This course may be helpful to a Statistician as it provides a deep dive into the PrestoDB software, which can be used to efficiently organize and analyze large and complex datasets, which is a common task for Statisticians.
Actuary
An Actuary uses mathematical and statistical methods to assess risk and uncertainty. An Actuary may work with insurance companies, pension funds, and other organizations to develop and implement risk management strategies. This course may be helpful to an Actuary as it provides a deep dive into the PrestoDB software, which can be used to efficiently organize and analyze large and complex datasets, which is a common task for Actuaries.
Financial Analyst
A Financial Analyst provides insights and recommendations to businesses on financial matters. A Financial Analyst may analyze financial data, such as income statements, balance sheets, and cash flow statements, to develop recommendations for investment and other business decisions. This course may be helpful to a Financial Analyst as it provides a deep dive into the PrestoDB software, which can be used to efficiently organize and analyze large and complex datasets, which is a common task for Financial Analysts.
Data Analyst
A Data Analyst uses SQL and other programming languages to clean and transform raw data and to run analysis on it. A Data Analyst may be charged with writing automated reports and may also be responsible for visualizing the results of their analyses to support decision making by stakeholders. This course may be helpful to a Data Analyst as it provides a deep dive into the PrestoDB software, which can be used to efficiently organize and analyze large and complex datasets.
Software Engineer
A Software Engineer designs, builds, and maintains software systems. A Software Engineer may work with a variety of software development tools, technologies, and languages in order to complete a given project. This course may be helpful to a Software Engineer as it provides a comprehensive overview of the PrestoDB software stack. A Software Engineer may choose to specialize in the development of tools and applications that can be used in data science and analytics.

Reading list

We've selected eight 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 PrestoDB: The Ultimate PrestoDB Course.
Comprehensive guide to PrestoDB, covering everything from installation and configuration to query optimization and performance tuning.
This comprehensive reference guide covers the full range of PrestoDB features and best practices, from installation and configuration to advanced query optimization and performance tuning.
Provides a comprehensive overview of Hadoop, including its architecture, components, and ecosystem.
Hadoop key component of the PrestoDB ecosystem, and this book provides a comprehensive overview of Hadoop, including its architecture, installation, configuration, and usage. It valuable resource for anyone who wants to learn more about Hadoop or use it in their own projects.
Provides a comprehensive overview of data warehousing, covering everything from data modeling to performance optimization.
Provides a comprehensive guide to big data analytics with Apache Spark, covering everything from data ingestion to machine learning.
Provides a comprehensive guide to Hadoop operations, covering everything from installation and configuration to performance tuning and security.
Provides a gentle introduction to SQL, covering everything from basic SELECT statements to complex joins and subqueries.

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