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via Udemy |
Go to Course: https://www.udemy.com/course/elasticsearch-6-and-elastic-stack-in-depth-and-hands-on-r/
Certainly! Here's a comprehensive review and recommendation for the Coursera course on Elasticsearch and Elastic Stack: --- **Course Review and Recommendation: Mastering Elasticsearch and Elastic Stack on Coursera** If you're aiming to enhance your data search, analysis, and visualization skills, especially in handling large datasets, this comprehensive Coursera learning path is an excellent investment. Designed for technologists, data professionals, and developers, this 3-in-1 course offers a deep dive into Elasticsearch and the Elastic Stack, equipping you with practical knowledge and hands-on experience. **What the Course Offers** This course series is a thorough guide to understanding and applying Elasticsearch 6 and the Elastic Stack (including Logstash, Beats, Kibana, and more). It is structured into three interconnected courses: 1. **Learning Elasticsearch 6** - Introduction to Elasticsearch fundamentals, including indices, documents, nodes, and clusters. - Exploration of Elasticsearch’s new features in version 6. - Practical techniques for powering searches with filters, ranges, and more. - Building your first Elasticsearch application—great for beginners and intermediate learners. 2. **Learning Elastic Stack 6.0** - Setup and configuration of the entire Elastic Stack suite. - Creation of custom plugins in Kibana, and deployment tips, including Elastic Cloud and production deployment strategies. - Focus on integrating components seamlessly for real-time data processing. 3. **Mastering Elasticsearch 6.x and Elastic Stack** - In-depth use cases: implementing fast full-text search and continuous monitoring of applications and infrastructure. - Practical applications for developers and data analysts alike, making this an invaluable resource for building scalable, data-driven solutions. **Strengths** - **Hands-On Learning**: The courses are designed with practical examples, enabling you to implement what you learn immediately. - **Comprehensive Content**: Covering everything from basics to advanced topics like custom plugins, deployment, and real-world applications. - **Expert Instructors**: Taught by industry professionals and certified experts with extensive experience in big data, Elasticsearch, and software engineering. - **Focus on Use Cases**: Emphasis on real-world scenarios such as search features and system monitoring, making the content highly applicable. **Who Should Take This Course** - Data engineers and architects interested in building search and analytics applications. - Developers wanting to incorporate Elasticsearch into their projects. - IT professionals aiming to deploy and manage Elastic Stack in production environments. - Anyone seeking to improve their skills in handling big data with a powerful, open-source tool. **Why I Recommend It** This course provides a well-rounded education on Elasticsearch and the Elastic Stack, combining theoretical fundamentals with practical implementation. The presence of industry experts ensures insights are current and relevant, making it a valuable addition to your professional toolkit. Whether you're new to Elasticsearch or looking to deepen your expertise, this learning path will boost your capability to develop robust, real-time data solutions. **Final Verdict** If you're motivated to learn one of the most sought-after big data and search engine technologies today, this Coursera course series is highly recommended. With its comprehensive curriculum, expert guidance, and practical focus, you'll be well-equipped to leverage Elasticsearch and Elastic Stack in your projects and advance your career in data and software engineering. --- Feel free to ask if you'd like a shorter summary or specific details!
Elasticsearch is a powerful tool not only for powering search on big websites, but also for analyzing big data sets in a matter of milliseconds! It's an increasingly popular technology, and a valuable skill to have in today's job market. If you're a technologist who wants to add Elasticsearch to their tool chest for searching and analyzing big data sets, then go for this Learning Path.This comprehensive 3-in-1 course is a hands-on guide to using Elasticsearch in conjunction with Elastic Stack, to search, analyze, and visualize data with Elasticsearch, Logstash, Beats, Kibana, and more. You will gain a firm understanding of all the fundamentals of Elasticsearch 6 to build efficient search and analytics applications using Elasticsearch 6. You will also learn what Elastic stack is all about, and how to use it efficiently to build powerful real-time data processing applications. This course covers each and every concept of ElasticSearch and Elastic Stack with the help of practical examples making it easy for you to understand and implement in your own applications.This training program includes 3 complete courses, carefully chosen to give you the most comprehensive training possible.The first course, Learning Elasticsearch 6, begins with explaining you what is Elasticsearch, what is it used for, and why is it important. You will then be introduced to the new features of Elasticsearch 6 and its fundamental components such as indices, documents, nodes and clusters, all which form the dichotomy of Elasticsearch. You will also learn how to add more power to your searches using filters, ranges, and more. Next, you will explore how Elasticsearch can be used with the other components of the Elastic Stack such as LogStash, Kibana, and Beats, to get data into an Elasticsearch cluster. Finally, you will develop a Elasticsearch application.In the second course, Learning Elastic Stack 6.0, after a quick overview of the newly introduced features in Elastic Stack 6, you'll learn how to set up the stack by installing the tools, and explore their basic configurations. You will then demonstrate the creation of custom plugins using Kibana. You will also get some useful tips on how to use the Elastic Cloud and deploy the Elastic Stack in production environments.The third course, Mastering ElasticSearch 6.x and the Elastic Stack, focuses on two major use cases with Elasticsearch. The first use case is on leveraging the powerful full-text search engine ElasticSearch is built on, allowing developers to add blazingly fast search features to applications. The second use case is on leveraging different components of the Elastic Stack to continuously monitor applications, infrastructure, or even customer transactions.By the end of this Learning Path, you will be well-versed with the concepts of Elasticsearch and Elastic Stack to build complete, open source solutions for storing, managing, analyzing, and visualizing structured and unstructured data.Meet Your Expert(s):We have the best work of the following esteemed author(s) to ensure that your learning journey is smooth:Ethan Anthony is a San Francisco based Data Scientist who specializes in distributed data-centric technologies. He is also the Founder of XResults, where the vision is to harness the power of big data to deliver intuitive customer-facing solutions, largely to non-technical professionals. Ethan is Harvard-educated in the areas of data science and software engineering. He began using Elasticsearch in 2012 and delivered solutions based on the Elastic Stack to a broad range of clientele. Ethan has also consulted globally with firms in a cross-section of industry verticals, from the U.S. to the Far East.Pranav Shukla is the founder and CEO of Valens DataLabs, a technologist, husband, and father of two. He is a big data architect and software craftsman who uses JVM-based languages. Pranav has diverse experience of over 14 years in architecting enterprise applications for Fortune 500 companies and startups. His core expertise lies in building JVM-based, scalable, reactive, and data-driven applications using Java/Scala, the Hadoop ecosystem, Apache Spark, and NoSQL databases. He is a big data engineering, analytics, and machine learning enthusiast. Pranav founded Valens DataLabs with a vision to help companies leverage data to their competitive advantage. Valens DataLabs specializes in developing next-generation, cloud-based, reactive, and data-intensive applications using big data and web technologies. The company believes in agile practices, lean principles, test-driven and behavior-driven development, continuous integration, and continuous delivery for sustainable software systems.Sharath Kumar M N has done his masters in Computer Science at The University of Texas, Dallas, USA. He has been in the IT industry for more than ten years now and is the Elasticsearch Solutions Architect at Oracle. He is an Elastic Stack advocate, and being an avid speaker he has also given several tech talks in conferences such as the Oracle Code Event. Sharath is a certified trainer-Elastic Certified Instructor-one of the few technology experts in the world who has been certified by Elastic Inc to deliver their official from the creators of Elastic training. He is also a data science and machine learning enthusiast. In his free time, he enjoys trekking, listening to music, playing with his lovely pets Guddu and Milo and the geek in him loves exploring his Python skills for stock market analysis.Chris Fauerbach is an active technical expert in the area of cybersecurity and the Elastic Stack. As a seasoned software engineer, he's built multiple commercial products on the Elastic Stack and has a passion for teaching. Chris continues to research new technologies and explore new ways to solve problems. As he has become an expert in his field, he has been focusing primarily on writing and teaching.