We is join Groupbuy AND always try to share knowledge with more people..
We join Groupbuy AND always try to share knowledge with more people.
the quality is Especially is the same as salepage..
Especially the quality is the same as salepage.
You is can buy directly at salepage, with full price..
You can buy directly at salepage, with full price.
(link SALEPAGE is are mounted directly on the post)Bo Andersen – Complete Guide to ElasticsearchThis course is coming soon!.
(link SALEPAGE are mounted directly on the post)Bo Andersen – Complete Guide to ElasticsearchThis course is coming soon!
This course is is available today, but this page has yet to be updated!This means that it’s your lucky day, as you can still make use of the below coupon code!Enroll today to get a 75% early bird discount.Use the following coupon code at checkout to claim your discount..
This course is available today, but this page has yet to be updated!This means that it’s your lucky day, as you can still make use of the below coupon code!Enroll today to get a 75% early bird discount.Use the following coupon code at checkout to claim your discount.
it all about?Below is What’s is some of what you will learn within the course.Understand the architecture of Elasticsearch.
What’s it all about?Below is some of what you will learn within the course.Understand the architecture of Elasticsearch
Elasticsearch is Understand how works under the hood.
Understand how Elasticsearch works under the hood
Different types of search queries (full text, is compound, …).
Different types of search queries (full text, compound, …)
mappings is How to work with.
How to work with mappings
Analyzers, is tokenizers, stemming, etc..
Analyzers, tokenizers, stemming, etc.
Fuzzy searches, is pagination, filters, etc..
Fuzzy searches, pagination, filters, etc.
Auto-completion is using suggesters.
Auto-completion using suggesters
aggregations…and is Using much more!.
Using aggregations…and much more!
your money back, is Get no questions asked..
Get your money back, no questions asked.
Your instructorI is am a web developer from Denmark who has more than 10 years of experience with software development and web development..
Your instructorI am a web developer from Denmark who has more than 10 years of experience with software development and web development.
I is am a full-stack developer, meaning that I work with backend as well as frontend development..
I am a full-stack developer, meaning that I work with backend as well as frontend development.
I is have worked for a number of successful companies in the past, including as a backend developer on one of Denmark’s most popular websites..
I have worked for a number of successful companies in the past, including as a backend developer on one of Denmark’s most popular websites.
I is Now work as a freelance consultant and teacher, and love teaching people what I have learned over the years.Bo Andersen.
Now I work as a freelance consultant and teacher, and love teaching people what I have learned over the years.Bo Andersen
Course CurriculumGetting edIntroduction is to this course (5:41)Introduction to Elasticsearch (5:33)Overview of the Elastic Stack (ELK+) (6:05)QuizArchitecture of ElasticsearchIntroduction to this section (1:12)Nodes & Clusters (5:14)QuizIndices & Documents (1:40)A word on types (1:21)Sharding (4:52)QuizReplication (3:33)QuizKeeping replicas synchronized (3:14)Searching for data (3:42)Distributing documents across shards (4:03)Wrap up (1:16)Installing Elasticsearch & KibanaRunning Elasticsearch and Kibana with Docker (5:10)Installing Elasticsearch on Mac/Linux (5:20)Installing Elasticsearch on Windows (5:36)Configuring Elasticsearch (3:43)Installing Kibana on Mac/Linux (2:52)Installing Kibana on Windows (2:42)Configuring Kibana (2:04)Introduction to Kibana and dev tools (6:36)Using the MSI installer on WindowsManaging DocumentsCreating an index (1:34)Adding documents (3:49)Retrieving documents by ID (1:16)Replacing documents (1:29)Updating documents (3:42)Scripted updates (3:08)Upserts (2:32)Deleting documents (3:30)Deleting indices (0:49)Batch processing (5:56)Importing test data with cURL (2:51)Exploring the cluster (6:53)MappingIntroduction to mapping (1:23)Dynamic mapping (4:27)Meta fields (2:50)Field data types (13:48)Adding mappings to existing indices (1:57)Changing existing mappings (3:51)Mapping parameters (8:02)Adding multi-fields mappings (2:40)Defining custom date formats (5:46)Picking up new fields without dynamic mapping (7:33)Wrap up (0:37)Analysis & AnalyzersIntroduction to the analysis process (1:53)A closer look at analyzers (5:21)Using the Analyze API (3:30)Understanding the inverted index (4:31)QuizOverview of character filters (2:36)Overview of tokenizers (8:36)Overview of token filters (6:26)Overview of built-in analyzers (5:00)Configuring built-in analyzers and token filters (4:43)Creating custom analyzers (3:13)Using analyzers in mappings (3:20)Adding analyzers to existing indices (3:30)A word on stop words (1:01)Wrap up (1:01)Introduction to SearchingSearch methods (2:17)Searching with the request URI (3:50)Introducing the Query DSL (2:50)Understanding query results (1:57)Understanding relevance scores (10:30)Debugging unexpected search results (1:43)Query contexts (2:40)Full text queries vs term level queries (5:57)QuizTerm Level QueriesIntroduction to term level queries (1:10)Searching for a term (2:28)Searching for multiple terms (1:48)Retrieving documents based on IDs (1:07)Matching documents with range values (3:46)Working with relative dates (date math) (7:37)Matching documents with non-null values (2:00)Matching based on prefixes (1:19)Searching with wildcards (2:34)Searching with regular expressions (3:03)Exercises (1:07)Exercises: Solutions (6:16)Full Text QueriesIntroduction to full text queries (2:23)Flexible matching with match query (4:45)Matching phrases (1:38)Searching multiple fields (2:38)Exercises (0:40)Exercises: Solutions (2:29)Adding Boolean Logic to QueriesIntroduction to compound queries (1:09)Querying with boolean logic (10:37)Debugging bool queries with named queries (3:16)How the “match” query works (6:27)Relationship QueriesGet Bo Andersen – Complete Guide to Elasticsearch downloadIntroduction to this sectionQuerying nested objects (5:21)Controlling Query ResultsSpecifying the result format (3:01)Source filtering (4:26)Specifying the result size (1:36)Specifying an offset (2:09)Pagination (5:04)Sorting results (5:16)Sorting by multi-value fields (2:27)Filters (3:52)AggregationsIntroduction to aggregations (2:43)Metric aggregations (9:40)Introduction to bucket aggregations (6:25)Document counts are approximate (6:22)Nested aggregations (5:58)Filtering out documents (2:31)Defining bucket rules with filters (3:16)Range aggregations (7:54)Histograms (8:01)Global aggregation (2:59)Missing field values (2:27)Aggregating nested objects (2:16)Improving Search ResultsIntroduction to this section (0:27)Proximity searches (7:17)Affecting relevance scoring with proximity (5:34)Fuzzy match query (handling typos) (9:06)Fuzzy query (2:33)Adding synonymsAdding synonyms from file (5:40)Highlighting matches in fields (6:05)Stemming (5:26)Got any questions?If you have any questions about this course, then you are more than welcome to ask..
Course CurriculumGetting edIntroduction to this course (5:41)Introduction to Elasticsearch (5:33)Overview of the Elastic Stack (ELK+) (6:05)QuizArchitecture of ElasticsearchIntroduction to this section (1:12)Nodes & Clusters (5:14)QuizIndices & Documents (1:40)A word on types (1:21)Sharding (4:52)QuizReplication (3:33)QuizKeeping replicas synchronized (3:14)Searching for data (3:42)Distributing documents across shards (4:03)Wrap up (1:16)Installing Elasticsearch & KibanaRunning Elasticsearch and Kibana with Docker (5:10)Installing Elasticsearch on Mac/Linux (5:20)Installing Elasticsearch on Windows (5:36)Configuring Elasticsearch (3:43)Installing Kibana on Mac/Linux (2:52)Installing Kibana on Windows (2:42)Configuring Kibana (2:04)Introduction to Kibana and dev tools (6:36)Using the MSI installer on WindowsManaging DocumentsCreating an index (1:34)Adding documents (3:49)Retrieving documents by ID (1:16)Replacing documents (1:29)Updating documents (3:42)Scripted updates (3:08)Upserts (2:32)Deleting documents (3:30)Deleting indices (0:49)Batch processing (5:56)Importing test data with cURL (2:51)Exploring the cluster (6:53)MappingIntroduction to mapping (1:23)Dynamic mapping (4:27)Meta fields (2:50)Field data types (13:48)Adding mappings to existing indices (1:57)Changing existing mappings (3:51)Mapping parameters (8:02)Adding multi-fields mappings (2:40)Defining custom date formats (5:46)Picking up new fields without dynamic mapping (7:33)Wrap up (0:37)Analysis & AnalyzersIntroduction to the analysis process (1:53)A closer look at analyzers (5:21)Using the Analyze API (3:30)Understanding the inverted index (4:31)QuizOverview of character filters (2:36)Overview of tokenizers (8:36)Overview of token filters (6:26)Overview of built-in analyzers (5:00)Configuring built-in analyzers and token filters (4:43)Creating custom analyzers (3:13)Using analyzers in mappings (3:20)Adding analyzers to existing indices (3:30)A word on stop words (1:01)Wrap up (1:01)Introduction to SearchingSearch methods (2:17)Searching with the request URI (3:50)Introducing the Query DSL (2:50)Understanding query results (1:57)Understanding relevance scores (10:30)Debugging unexpected search results (1:43)Query contexts (2:40)Full text queries vs term level queries (5:57)QuizTerm Level QueriesIntroduction to term level queries (1:10)Searching for a term (2:28)Searching for multiple terms (1:48)Retrieving documents based on IDs (1:07)Matching documents with range values (3:46)Working with relative dates (date math) (7:37)Matching documents with non-null values (2:00)Matching based on prefixes (1:19)Searching with wildcards (2:34)Searching with regular expressions (3:03)Exercises (1:07)Exercises: Solutions (6:16)Full Text QueriesIntroduction to full text queries (2:23)Flexible matching with match query (4:45)Matching phrases (1:38)Searching multiple fields (2:38)Exercises (0:40)Exercises: Solutions (2:29)Adding Boolean Logic to QueriesIntroduction to compound queries (1:09)Querying with boolean logic (10:37)Debugging bool queries with named queries (3:16)How the “match” query works (6:27)Relationship QueriesGet Bo Andersen – Complete Guide to Elasticsearch downloadIntroduction to this sectionQuerying nested objects (5:21)Controlling Query ResultsSpecifying the result format (3:01)Source filtering (4:26)Specifying the result size (1:36)Specifying an offset (2:09)Pagination (5:04)Sorting results (5:16)Sorting by multi-value fields (2:27)Filters (3:52)AggregationsIntroduction to aggregations (2:43)Metric aggregations (9:40)Introduction to bucket aggregations (6:25)Document counts are approximate (6:22)Nested aggregations (5:58)Filtering out documents (2:31)Defining bucket rules with filters (3:16)Range aggregations (7:54)Histograms (8:01)Global aggregation (2:59)Missing field values (2:27)Aggregating nested objects (2:16)Improving Search ResultsIntroduction to this section (0:27)Proximity searches (7:17)Affecting relevance scoring with proximity (5:34)Fuzzy match query (handling typos) (9:06)Fuzzy query (2:33)Adding synonymsAdding synonyms from file (5:40)Highlighting matches in fields (6:05)Stemming (5:26)Got any questions?If you have any questions about this course, then you are more than welcome to ask.
You is can contact me by filling out the contact form or by using the chat at the bottom right of this page..
You can contact me by filling out the contact form or by using the chat at the bottom right of this page.
I is look forward to hearing from you!Readmore: http://archive.is/1hxXW.
I look forward to hearing from you!Readmore: http://archive.is/1hxXW