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Xavier Morera

Big Data is a natural evolution of data analysis, scaling beyond the limits of conventional databases. However, they're still an important part of a Hadoop cluster. Learn how to setup databases for Cloudera CDH and install a production grade cluster.

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Big Data is a natural evolution of data analysis, scaling beyond the limits of conventional databases. However, they're still an important part of a Hadoop cluster. Learn how to setup databases for Cloudera CDH and install a production grade cluster.

Big Data is a natural evolution of data analysis, scaling beyond the limits of conventional databases. However, this does not mean that databases are dead. On the contrary, they are still an important part of a Hadoop cluster and used to store all kinds of information by multiple services. In this course, Preparing a Production Hadoop Cluster with Cloudera: Databases, you'll learn how to setup databases for Cloudera CDH and install a production grade cluster using Cloudera's Installation Path B. First, you'll discover how to select, initialize, and install a supported database. Next, you'll explore how to configure a database with Cloudera's recommended settings, and how to create databases with CDH services. Finally, you'll learn how to complete a CDH deployment. By the end of this course, you'll be able to deploy a production grade cluster.

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What's inside

Syllabus

Course Overview
Understanding Databases in Big Data and with Cloudera CDH
Setting up a Production Database for Your Hadoop Cluster
Configuring Your MySQL Database for Cloudera Manager (Path B)
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Preparing Your Databases and Deploying CDH
Preparing Your Database for High Availability
Final Takeaway

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Provides expertise in installing and configuring Cloudera CDH, preparing a production grade Hadoop Cluster, and configuring MySQL Databases, giving learners a deep understanding of the subject matter
Xavier Morera, a recognized instructor in Big Data and Hadoop, provides instruction, increasing the course's credibility
Meant for learners with prior experience, as it delves into advanced database management with Hadoop Clusters
Requires familiarity with Hadoop and its ecosystem, which may not be suitable for complete beginners
Focuses on practical implementation, providing learners with hands-on experience in setting up and configuring a Hadoop cluster
Specifically designed for Cloudera CDH, making it less applicable to other Hadoop distributions

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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 Preparing a Production Hadoop Cluster with Cloudera: Databases with these activities:
Review Databases and Big Data Basics
Revisit key concepts of databases and Big Data to establish a foundation for the course.
Browse courses on Database Fundamentals
Show steps
  • Read introductory articles or textbooks on database basics
  • Review online tutorials or videos on Big Data concepts
  • Familiarize yourself with the Cloudera CDH platform
Create a Study Guide for Key Concepts and Terminology
Enhance your understanding by creating a study guide that summarizes key concepts and terminology, facilitating efficient revision and retention.
Browse courses on Cloudera CDH
Show steps
  • Identify important terms and concepts covered in the course
  • Gather definitions, explanations, and examples
  • Organize and present the information in a clear and concise format
Install MySQL Database for Cloudera Manager
Follow guided instructions to set up a MySQL database for Cloudera Manager, gaining hands-on experience.
Show steps
  • Locate and follow official Cloudera documentation on MySQL installation
  • Configure MySQL settings according to Cloudera's recommendations
  • Test and verify the successful installation of the MySQL database
Five other activities
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Show all eight activities
Practice Setting Up Databases in Cloudera CDH
Reinforce your learning by practicing the setup of databases in Cloudera CDH, solidifying your practical skills.
Browse courses on Big Data Analytics
Show steps
  • Create a sandbox environment for practicing database setup
  • Follow step-by-step instructions to set up multiple databases in CDH
  • Troubleshoot any errors or issues encountered during the setup process
Attend a Workshop on Hadoop Cluster Deployment
Deepen your understanding through a workshop focused on deploying Hadoop clusters, enhancing your practical skills.
Show steps
  • Search for upcoming workshops on Hadoop cluster deployment
  • Register for a workshop aligned with your learning goals
  • Actively participate in the workshop, asking questions and engaging in discussions
Develop a Production Grade Hadoop Cluster Plan
Apply your knowledge to create a comprehensive plan for deploying a production-grade Hadoop cluster, enhancing your design capabilities.
Show steps
  • Research best practices for Hadoop cluster design
  • Determine the specific requirements and goals for your planned cluster
  • Design the architecture of the cluster, including hardware, software, and network configuration
  • Document your plan and present it to peers or mentors for feedback
Mentor Junior Data Analysts on Hadoop Basics
Consolidate your understanding by mentoring junior data analysts, reinforcing your knowledge and developing leadership skills.
Show steps
  • Identify opportunities to mentor junior data analysts
  • Prepare materials and resources to support their learning
  • Provide guidance and feedback on Hadoop basics and Cloudera CDH
Contribute to Open Source Hadoop Projects
Gain real-world experience and showcase your skills by contributing to open source Hadoop projects, expanding your knowledge and building your network.
Browse courses on Data Analytics
Show steps
  • Identify open source Hadoop projects that align with your interests
  • Research the project's codebase and documentation
  • Suggest and implement improvements or bug fixes

Career center

Learners who complete Preparing a Production Hadoop Cluster with Cloudera: Databases will develop knowledge and skills that may be useful to these careers:
Database Administrator
A Database Administrator (DBA) is responsible for the installation, configuration, maintenance, and performance of databases. They ensure that databases are available, secure, and performant. This course provides a strong foundation in databases, which is essential for DBAs.
Database Consultant
A Database Consultant provides advice and guidance on database design, implementation, and management. They work with organizations to help them improve the performance and efficiency of their databases. This course provides a strong foundation in databases, which is essential for Database Consultants.
Data Architect
A Data Architect designs and manages the architecture of data systems. They work to ensure that data systems are efficient, scalable, and secure. This course may be useful for aspiring Data Architects as it provides a foundation in databases, which is essential for designing and managing data systems.
Software Engineer
A Software Engineer designs, develops, and maintains software systems. They use programming languages and software development tools to create software applications. This course may be useful for aspiring Software Engineers as it provides a foundation in databases, which is essential for storing and managing data.
Data Analyst
A Data Analyst helps organizations make informed decisions based on data. They collect, analyze, interpret, and present data to help businesses understand their customers, improve their products and services, and make better decisions. This course may be useful for aspiring Data Analysts as it provides a foundation in databases, which is essential for managing and analyzing data.
Information Security Analyst
An Information Security Analyst protects an organization's data and information systems from unauthorized access, use, disclosure, disruption, modification, or destruction. This course may be useful for aspiring Information Security Analysts as it provides a foundation in databases, which is essential for protecting data and information systems.
Data Scientist
A Data Scientist uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data. They use data to solve problems, make predictions, and develop new products and services. This course may be useful for aspiring Data Scientists as it provides a foundation in databases, which is essential for managing and analyzing data.
DevOps Engineer
A DevOps Engineer bridges the gap between development and operations teams. They work to automate and streamline the software development and deployment process. This course may be useful for aspiring DevOps Engineers as it provides a foundation in databases, which is essential for managing and analyzing data.
Cloud Engineer
A Cloud Engineer designs, builds, and manages cloud computing systems. They use cloud computing platforms to create and deploy applications and services. This course may be useful for aspiring Cloud Engineers as it provides a foundation in databases, which is essential for managing and analyzing data in the cloud.
IT Manager
An IT Manager plans, implements, and manages an organization's IT systems and infrastructure. They work to ensure that IT systems are efficient, reliable, and secure. This course may be useful for aspiring IT Managers as it provides a foundation in databases, which is essential for managing and analyzing data.
CIO
A CIO is responsible for the overall IT strategy and operations of an organization. They work to ensure that IT systems and services align with the organization's business goals. This course may be useful for aspiring CIOs as it provides a foundation in databases, which is essential for managing and analyzing data.
Big Data Engineer
A Big Data Engineer designs, builds, and manages big data systems. They use big data technologies to process and analyze large volumes of data. This course may be useful for aspiring Big Data Engineers as it provides a foundation in databases, which is essential for managing and analyzing big data.
CTO
A CTO is responsible for the technology strategy and operations of an organization. They work to ensure that technology investments align with the organization's business goals. This course may be useful for aspiring CTOs as it provides a foundation in databases, which is essential for managing and analyzing data.
Data Engineer
A Data Engineer designs, builds, maintains, and manages data pipelines and infrastructure. They work with data from various sources to create a unified and consistent data set. This course may be useful for aspiring Data Engineers as it provides a foundation in databases, which is essential for managing and analyzing data.
Business Analyst
A Business Analyst helps organizations understand their business needs and develop solutions to meet those needs. They use data to analyze problems, make recommendations, and improve business processes. This course may be useful for aspiring Business Analysts as it provides a foundation in databases, which is essential for managing and analyzing data.

Reading list

We've selected 14 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 Preparing a Production Hadoop Cluster with Cloudera: Databases.
Provides a comprehensive reference for the MySQL database server. It covers all aspects of MySQL, including installation, configuration, security, and performance tuning.
A practical guide to designing and implementing highly available MySQL deployments. Covers topics such as replication, failover, and load balancing, which are crucial for ensuring database reliability in Hadoop clusters.
Provides a comprehensive overview of the principles and best practices of big data systems, including data processing, storage, and analytics. Offers valuable insights into the challenges and opportunities of managing large-scale data in Hadoop environments.
Covers the full spectrum of Hadoop topics, from fundamentals to advanced topics like security and data warehousing. It's a great resource for anyone who wants to learn more about Hadoop and how to use it in a production environment.
A comprehensive textbook on database systems, covering fundamental concepts, design principles, and implementation techniques. Provides a strong foundation for understanding the underlying principles of databases used in Hadoop environments.
Provides a comprehensive overview of big data analytics, covering topics such as data collection, processing, analysis, and visualization. Offers valuable insights into the practical challenges and opportunities of managing and analyzing large-scale data.
Provides a comprehensive overview of data-intensive application design, covering topics such as data modeling, storage, and processing. Offers valuable insights into the architectural considerations and trade-offs involved in building scalable and reliable data systems.
Provides a comprehensive overview of data management fundamentals, covering topics such as data quality, data governance, and data integration. Offers valuable insights into the principles and best practices of managing data effectively in both traditional and big data environments.
Good resource for learning how to use Hadoop in a production environment. It covers a wide range of topics, including data processing, data analysis, and security.
Provides a practical introduction to data science and analytics, covering topics such as data exploration, predictive modeling, and communication. Offers valuable insights into the role of databases in data science and how to effectively leverage data for business decision-making.
Provides a hands-on guide to using Hadoop. It covers all aspects of Hadoop, including installation, configuration, programming, and troubleshooting.
Provides a comprehensive overview of Spark and its ecosystem. It covers the core concepts of Spark, including RDDs, transformations, and actions. It also discusses how to use Spark for data processing, machine learning, and other big data applications.
Provides a comprehensive guide to using Python for data science. It covers all aspects of data science, including data manipulation, data analysis, and machine learning.
Provides a comprehensive guide to operating a Hadoop cluster. It covers all aspects of cluster operation, including installation, configuration, monitoring, and troubleshooting.

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