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Elasticsearch

Elasticsearch Essentials

Submitted by heartin on Sun, 04/29/2018 - 21:46

This is a practical approach to learning Elasticsearch using Kibana with minimal theory and maximum recipes. Second part of this book will have more theory and explanations on simple and advanced concepts. We will use Elastic Cloud for practicing the recipes, which is a managed version of elasticsearch from elastic.co. You may also install elasticsearch and Kibana locally and follow the notes and recipes. 

Book Tags: 

Elasticsearch

Elasticsearch Notes

Elasticsearch - Beyond The Basics

Submitted by heartin on Sun, 06/03/2018 - 15:26

We already learned Elasticsearch Essentials and got our hands dirty with Elasticsearch on Elastic Cloud. This book goes beyond the basics, discussion more on the internals of most of the examples seen already. We will also have labs on advanced topics.

Book Tags: 

Elasticsearch

Elasticsearch Notes

Elasticsearch Java Clients - Jest, Low Level, High Level

Submitted by heartin on Sun, 05/20/2018 - 00:21

There are different ways to communicate with Elasticsearch such as a standard rest client or a Java client for Elasticsearch. Some of the common clients include: jest client, Java API client from ES, low level Java client from ES and the latest high level client from ES. We will try to look into all of these in this book. 

Book Tags: 

Elasticsearch

Elasticsearch Notes

Amazon Elasticsearch Service Essentials

Submitted by heartin on Sun, 03/18/2018 - 20:21

Amazon Elasticsearch Service (Amazon ES) is an AWS managed Elasticsearch on the AWS Cloud. You may read first read  Elasticsearch Essentials to get familiarized with Elasticsearch in general.

After setting up Amazon ES you can practice the recipes available within notes at  Elasticsearch Essentials (except the ones tagged explicitely as Elastic Cloud). 

Book Tags: 

Amazon Web Services

Amazon Web Services

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CloudMaterials is my blog to share notes and learning materials on Cloud and Data Analytics. My current focus is on Microsoft Azure and Amazon Web Services (AWS).

I like to write and I try to document what I learn to share with others. I believe that knowledge is useless unless you share it; the more you share, the more you learn.

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