"Good introduction to Apache Spark. The trainer was great at talking us through the information, specifically optimisation methods. He spoke slowly and concisely which really got his points across. He effectively tailored the course to our specifications which we also appreciated."
RL, Financial Crime Technologist, Apache Spark, April 2021
Elasticsearch
Logstash
Beat Agents
Kibana
Important notions
Nodes
Shards
Indices
Datastreams
Mappings
Documents
o Discover Tab Usage
o The Date & Timepicker
o The Center Main Table
o Filtering and Searching Data
o Language Based Search queries (KQL, Lucene & ES|QL)
o Saving and Sharing Searches
o Metric Aggregations
o Bucket Aggregations
o Pipeline Aggregations
o Vega
o Maps
o Graphs
o Legacy Visualisations
o Key Principles of Data Visualization
o Dashboards Features and Settings
o Dashboard Controls
o Transform indices
o Adding Fields to documents with Runtime Fields
o Anomaly Detection & Machine Learning
o Alerting and Reporting with Kibana
o Lab 1 - Discover Tab (1)
o Lab 2 - Discover Tab (2) – Query Languages
o Lab 3 - Visualizations (1) - Lens
o Lab 4 - Visualizations (2) – TSVB, Maps & Graph
o Lab 5 - Dashboards
o Lab 6 - Transform Indices
Data Analysts / Scientists
Statisticians
Business Analysts
DevOps / SecOp
"Good introduction to Apache Spark. The trainer was great at talking us through the information, specifically optimisation methods. He spoke slowly and concisely which really got his points across. He effectively tailored the course to our specifications which we also appreciated."
RL, Financial Crime Technologist, Apache Spark, April 2021
“JBI did a great job of customizing their syllabus to suit our business needs and also bringing our team up to speed on the current best practices. Our teams varied widely in terms of experience and the Instructor handled this particularly well - very impressive”
Brian F, Team Lead, RBS, Data Analysis Course, 20 April 2022
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A powerful search and analytics engine needs an equally powerful user interface for creating advanced visualizations and performing deeper analysis. This course focuses on exactly that, using Kibana to analyze data in Elastic. Starting with the fundamentals, you will learn the core concepts of
data analysis using Kibana — from simple aggregation-based charts to complex geo-based visualizations to results of machine learning jobs of complex time series data — through lectures, labs, and Q&A sessions. You will also learn how to create visualizations and interactive dashboards across a variety of data sets, as well as how to manage Kibana by handling saved objects and creating spaces. By the end of this course, you will be able to easily find answers and anomalies in your Elasticsearch data sets using Kibana
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