TN-512: Essential Business Analysis Course

Course Overview:

This course covers the key elements required to understand and apply business analysis techniques in an IT-centric business environment. It identifies key best practices to deal with the challenges of eliciting, analyzing, and specifying project requirements. The key material in each section of this course is reinforced with a student driven lab scenario allowing each participant hands-on practice with the key business analysis concepts that are introduced in this course. At the end of the focused sections on business analysis techniques, the students will engage in a student-driven business analysis case study blending all the learned techniques into a finished product. This course is approximately 60% lecture and 40% lab time.

Attendees to TN-512: Essential Business Analysis Course will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 Days

Course Objectives:

Overview of Business Analysis Workshop
Eliciting Project Workshop
Case Study
Analyzing Requirements and Writing Case Studies
Case Study

Prerequisites:

None

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General Unix

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TN-430: Elasticsearch Engineer (ELK)

Course Overview:

Getting started with the Elastic Stack (ELK), optimizing search performance and building efficient clusters. Ingest and process data, writing complex search requests and response utilization, scaling of clusters up or down, managing indices in large clusters and multiple clusters, management of clusters and troubleshooting recommendations.

Attendees to TN-430: Elasticsearch Engineer (ELK) will receive TechNow approved course materials, expert instruction, and prepare you to take ELK exam.

Dates/Locations:

No Events

Duration: 5 Days

Course Outline:

Data Management

Define an index that satisfies a given set of requirements
Define and use an index template for a given pattern that satisfies a given set of requirements
Define and use a dynamic template that satisfies a given set of requirements
Define an Index Lifecycle Management policy for a time-series index
Define an index template that creates a new data stream

Searching Data

Write and execute a search query for terms and/or phrases in one or more fields of an index
Write and execute a search query that is a Boolean combination of multiple queries and filters
Write an asynchronous search
Write and execute metric and bucket aggregations
Write and execute aggregations that contain sub-aggregations
Write and execute a query that searches across multiple clusters
Write and execute a search that utilizes a runtime field

Developing Search Applications

Highlight the search terms in the response of a query
Sort the results of a query by a given set of requirements
Implement pagination of the results of a search query
Define and use index aliases
Define and use a search template

Data Processing

Define a mapping that satisfies a given set of requirements
Define and use a custom analyzer that satisfies a given set of requirements
Define and use multi-fields with different data types and/or analyzers
Use the Reindex API and Update By Query API to reindex and/or update documents
Define and use an ingest pipeline that satisfies a given set of requirements, including the use of Painless to modify documents
Define runtime fields to retrieve custom values using Painless scripting