What Is Programming? And How To Get Started
January 28, 2025
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Instructor: Board Infinity
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(14 reviews)
Recommended experience
Beginner level
Familiarity with Databases
Familiarity with a programming language
Basic knowledge of web development and APIs would also be helpful.
(14 reviews)
Recommended experience
Beginner level
Familiarity with Databases
Familiarity with a programming language
Basic knowledge of web development and APIs would also be helpful.
Acquire hands-on skills in setting up Elasticsearch, diving deep into its architecture, and creating the initial data index.
Understand the pivotal role of query optimization and discover techniques to notably improve search relevancy and performance in Elasticsearch.
Navigate the complexities of advanced querying, mastering mechanisms like Boolean and nested queries, ensuring precision in search results.
Equip yourself with holistic Elasticsearch expertise, empower you to craft efficient, scalable, and real-time search solutions for diverse datasets.
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Embark on a comprehensive journey into the realm of Elasticsearch with this thoughtfully crafted course, divided into three distinct modules. Ideal for beginners or those aiming to reinforce their foundational understanding, this course offers a clear and progressive path to mastering Elasticsearch.
In the first module, Introduction to Elasticsearch, participants dive into Elasticsearch's core. They will understand its architecture, explore its foundational elements, and gain hands-on experience creating indices and understanding nodes and clusters. The second module, Query Mechanism, and Optimization, offers a journey through Elasticsearch queries. Learners will familiarize themselves with the Explain API, explore key query tuning techniques, and enhance their search performance skills. In the third module, Advanced Elasticsearch Techniques, attendees delve into sophisticated facets of Elasticsearch. They will master advanced query mechanisms, appreciate the significance of aggregation, and discern the role of nested queries and facets in comprehensive data interpretation. Upon course completion, attendees will have forged a comprehensive understanding of Elasticsearch, standing poised to deploy efficient search solutions and ready to tackle more nuanced Elasticsearch challenges.
This module is designed to provide an introduction to Elasticsearch, a powerful search and analytics engine widely used for data exploration, log analysis, and real-time search applications. In this module, you will learn the basics of Elasticsearch, including how to install and configure the software, index data, and create mappings. You will also explore the different types of data that can be indexed in Elasticsearch, such as text, numerical, and geospatial data. Additionally, you will gain a basic understanding of Elasticsearch's architecture, including its distributed nature and its use of sharding and replication to ensure high availability and fault tolerance.
15 videos4 readings3 assignments1 discussion prompt
This module is designed to teach you how to optimize search-based queries in Elasticsearch for improved performance and relevance. You will start by learning how to use Elasticsearch's Explain API to understand how queries are executed and identify potential bottlenecks. You will then explore different techniques for improving query performance, such as using filters instead of queries, limiting the number of fields returned, and caching query results.
12 videos3 readings4 assignments
This module is designed to teach you advanced query mechanisms in Elasticsearch, enabling you to build complex queries that deliver highly relevant results. You will start by learning about the different types of query mechanisms available in Elasticsearch, such as Boolean queries, fuzzy queries, and proximity queries. You will then explore advanced query mechanisms such as nested queries, script queries, and join queries. Additionally, you will learn how to use Elasticsearch's search templates to build and reuse complex queries.
8 videos3 readings3 assignments
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Board Infinity is a full-stack career platform, founded in 2017 that bridges the gap between career aspirants and industry experts. Our platform fosters professional growth, delivering personalized learning experiences, expert career coaching, and diverse opportunities to help individuals fulfill their career dreams. Board Infinity has successfully facilitated over 20,000 career transitions, marking a significant impact in the career development landscape.
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University of California, Davis
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This course is designed to educate learners about the capabilities of Elasticsearch, specifically in efficiently analyzing large volumes of text data. By the end, participants should be able to construct efficient and scalable search applications leveraging Elasticsearch's full-text search capabilities.
This course is suitable for data analysts, software developers, IT professionals, and anyone keen on enhancing their skills in search and analytics using Elasticsearch.
Familiarity with basic database concepts and a foundational understanding of data analytics would be beneficial, though not mandatory.
Participants will gain insights into Elasticsearch basics, its architecture, search-based query optimization, and advanced querying mechanisms such as aggregation, facets, and nested queries.
In the first module, you'll learn about the basics of Elasticsearch, its purpose, features, and use cases. You'll also be guided on how to install and configure Elasticsearch and understand its distributed architecture.
The second module delves into optimizing search-based queries in Elasticsearch. Topics include using Elasticsearch's Explain API, improving query performance techniques, and understanding Elasticsearch's scoring algorithm.
This module introduces learners to advanced query mechanisms, including Boolean, fuzzy, and proximity queries. They'll also explore nested queries, script queries, join queries, and the use of Elasticsearch's search templates.
Learners will get practical experience, including installing Elasticsearch on their machines, creating indices, formulating various queries, optimizing search processes, and implementing advanced querying mechanisms.
The course takes approximately 12 hours to complete. This estimate includes time for lectures, hands-on exercises, and projects, but the actual time may vary depending on individual pace and understanding.
Absolutely, the course is designed for self-paced learning. This allows you to progress through the material at a pace that suits your individual needs and schedule.
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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