VERİ ANALİTİĞİ

Elasticsearch İle Her Yönüyle Veri Analizi

Katılımcı Ön Koşulları:

• Temel Veritabanı ve Veri Analitiği Bilgisi
• SQL Bilgisi
• Temel Elasticsearch Bilgisi
• JSON Formatı ve RESTful API Bilgisi
• Temel Linux Bilgisi
• Veri İşleme ve Analiz Araçları Bilgisi (Opsiyonel)

Neler Öğreneceksiniz?

Introduction to Elasticsearch

• A Brief History of Search
• How Does Search Work?
• The Inverted Index
• Lucene, an Open Source Search Library
• Introducing Elasticsearch
• Installing and Setting up Elasticsearch
• Basic Concepts in Elasticsearch
• Monitoring the Health of the Cluster

CRUD Operations With Elasticsearch

• Introducing the cURL Command Line Utility
• Creating Indices
• Adding Documents to an Index
• Retrieving Whole and Partial Documents
• Updating Whole and Partial Documents
• Deleting Documents and Indices
• Performing Bulk Operations on Documents
• Bulk Indexing of Documents from a JSON File

Elasticsearch Search Requests Query With DSL

• Setting up Fake Data for Queries
• Search Using Query Params
• Search Using the Request Body
• Source Filtering Document Contents
• Full Text Searches
• The TF/IDF Algorithm for Relevance
• Queries with Common Terms
• Boolean Compund Queries
• Term Queries and the Boost Parameter
• Search Using the Filter Context

Aggregations With Elasticsearch

• Recap: How Search Works
• The Query and Filter Context
• Setting up Fake Data for Queries
• Search Using Query Params
• Search Using the Request Body
• Source Filtering Document Contents
• Full Text Searches
• The TF/IDF Algorithm for Relevance
• Queries with Common Terms
• Boolean Compund Queries
• Term Queries and the Boost Parameter
• Search Using the Filter Context