Elasticsearch 7 and the Elastic Stack – In Depth and Hands On! – Frank Kane
Elasticsearch 7 and the Elastic Stack – In Depth and Hands On! – Frank Kane Download. What you’ll learn
Install and configure Elasticsearch 7 on a cluster…
Salepage link: At HERE. Archive:
What you’ll learn
- Install and configure Elasticsearch 7 on a cluster
- Create search indices and mappings
- Search full-text and structured data in several different ways
- Import data into Elasticsearch using several different techniques
- Integrate Elasticsearch with other systems, such as Spark, Kafka, relational databases, S3, and more
- Aggregate structured data using buckets and metrics
- Use Logstash and the “ELK stack” to import streaming log data into Elasticsearch
- Use Filebeats and the Elastic Stack to import streaming data at scale
- Analyze and visualize data in Elasticsearch using Kibana
- Manage operations on production Elasticsearch clusters
- Use cloud-based solutions including Amazon’s Elasticsearch Service and Elastic Cloud
- You need access to a Windows, Mac, or Ubuntu PC with 20GB of free disk space
- You should have some familiarity with web services and REST
- Some familiarity with Linux will be helpful
- Exposure to JSON-formatted data will help
New for 2020! We’ve teamed up with Coralogix to co-produce the most comprehensive Elastic Stack course we’ve seen. Elasticsearch 7 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. This course covers it all, from installation to operations, with over 100 lectures including 11 hours of video.
We’ll cover setting up search indices on an Elasticsearch 7 cluster (if you need Elasticsearch 5 or 6 – we have other courses on that), and querying that data in many different ways. Fuzzy searches, partial matches, search-as-you-type, pagination, sorting – you name it. And it’s not just theory, every lesson has hands-on examples where you’ll practice each skill using a virtual machine running Elasticsearch on your own PC.
We’ll explore what’s new in Elasticsearch 7 – including index lifecycle management, the deprecation of types and type mappings, and a hands-on activity with Elasticsearch SQL. We’ve also added much more depth on managing security with the Elastic Stack, and how backpressure works with Beats.
We cover, in depth, the often-overlooked problem of importing data into an Elasticsearch index. Whether it’s via raw RESTful queries, scripts using Elasticsearch API’s, or integration with other “big data” systems like Spark and Kafka – you’ll see many ways to get Elasticsearch started from large, existing data sets at scale. We’ll also stream data into Elasticsearch using Logstash and Filebeat – commonly referred to as the “ELK Stack” (Elasticsearch / Logstash / Kibana) or the “Elastic Stack“.
Elasticsearch isn’t just for search anymore – it has powerful aggregation capabilities for structured data. We’ll bucket and analyze data using Elasticsearch, and visualize it using the Elastic Stack’s web UI, Kibana and Kibana Lens.
You’ll learn how to manage operations on your Elastic Stack, using X-Pack to monitor your cluster’s health, and how to perform operational tasks like scaling up your cluster, and doing rolling restarts. We’ll also spin up Elasticsearch clusters in the cloud using Amazon Elasticsearch Service and the Elastic Cloud.
Elasticsearch is positioning itself to be a much faster alternative to Hadoop, Spark, and Flink for many common data analysis requirements. It’s an important tool to understand, and it’s easy to use! Dive in with me and I’ll show you what it’s all about.
Who this course is for:
Any technologist who wants to add Elasticsearch to their toolchest for searching and analyzing big data sets.
+Installing and Understanding Elasticsearch
+Mapping and Indexing Data
+Searching with Elasticsearch
+Importing Data into your Index – Big or Small
+Analyzing Log Data with the Elastic Stack
+Elasticsearch in the Cloud
+You Made It!
Here's an overview of the prominent keywords and a list of famous authors:
Business and Sales: Explore business strategies, sales skills, entrepreneurship, and brand-building from authors like Joe Wicks, Jillian Michaels, and Tony Horton.
Sports and Fitness: Enhance athleticism, improve health and fitness with guidance from experts like Shaun T, Kayla Itsines, and Yoga with Adriene.
Personal Development: Develop communication skills, time management, creative thinking, and enhance self-awareness from authors like Gretchen Rubin, Simon Sinek, and Marie Kondo.
Technology and Coding: Learn about artificial intelligence, data analytics, programming, and blockchain technology from thought leaders like Neil deGrasse Tyson, Amy Cuddy, and Malcolm Gladwell.
Lifestyle and Wellness: Discover courses on holistic health, yoga, and healthy living from authors like Elizabeth Gilbert, Bill Nye, and Tracy Anderson.
Art and Creativity: Explore the world of art, creativity, and painting with guidance from renowned artists like Bob Ross and others.
All the courses on WSOlib are led by top authors and experts in their respective fields. Rest assured that the knowledge and skills you acquire are reliable and highly applicable.
Only logged in customers who have purchased this product may leave a review.