Header Fragment
Logo

A career growth machine

Home All Students
AI Resume & Interview
Intelligent AI Resume Builder Manage Jobs Manage your candidature for Job Match Resume against Job Setup Interview for a Job Generate Full Study Guide for a Job
Certifications Training
Books
All Books Books By Categories
Interview Plans Contact Us
FAQ
Recruiter FAQ Learner FAQ
  
× Login Plans Home All Students
AI Resume & Interview
Intelligent AI Resume Builder Manage Jobs Manage your candidature for Job Match Resume against Job Setup Interview for a Job Generate Full Study Guide for a Job
Certifications Training
Books
All Books Books By Categories
Interview Contact Us
FAQ
Recruiter FAQ Learner FAQ
$9.99 or 999 INR only

Don't Miss Out!

On QuickTechie, you can:

Don't leave yet — start building your career today on QuickTechie.com!

Unlimited Learning, One Price
$299 / INR 23,999

All Content for $99 / INR 7,999

Offer valid for the next 3 days.

Subscribe

Chapter 1: Implement and manage an analytics solution-Configure Microsoft Fabric workspace settings-Configure Spark workspace settings
Chapter 2: Implement and manage an analytics solution-Configure Microsoft Fabric workspace settings-Configure domain workspace settings
Chapter 3: Implement and manage an analytics solution-Configure Microsoft Fabric workspace settings-Configure OneLake workspace settings
Chapter 4: Implement and manage an analytics solution-Configure Microsoft Fabric workspace settings-Configure data workflow workspace settings
Chapter 5: Implement and manage an analytics solution-Implement lifecycle management in Fabric-Configure version control
Chapter 6: Implement and manage an analytics solution-Implement lifecycle management in Fabric-Implement database projects
Chapter 7: Implement and manage an analytics solution-Implement lifecycle management in Fabric-Create and configure deployment pipelines
Chapter 8: Implement and manage an analytics solution-Configure security and governance-Implement workspace-level access controls
Chapter 11: Implement and manage an analytics solution-Configure security and governance-Implement dynamic data masking
Chapter 12: Implement and manage an analytics solution-Configure security and governance-Apply sensitivity labels to items
Chapter 14: Implement and manage an analytics solution-Orchestrate processes-Choose between a pipeline and a notebook
Chapter 15: Implement and manage an analytics solution-Orchestrate processes-Design and implement schedules and event-based triggers
Chapter 16: Implement and manage an analytics solution-Orchestrate processes-Implement orchestration patterns with notebooks and pipelines, including parameters and dynamic expressions
Chapter 17: Ingest and transform data-Design and implement loading patterns-Design and implement full and incremental data loads
Chapter 18: Ingest and transform data-Design and implement loading patterns-Prepare data for loading into a dimensional model
Chapter 19: Ingest and transform data-Design and implement loading patterns-Design and implement a loading pattern for streaming data
Chapter 20: Ingest and transform data-Ingest and transform batch data-Choose an appropriate data store
Chapter 21: Ingest and transform data-Ingest and transform batch data-Choose between dataflows, notebooks, and T-SQL for data transformation
Chapter 22: Ingest and transform data-Ingest and transform batch data-Create and manage shortcuts to data
Chapter 24: Ingest and transform data-Ingest and transform batch data-Ingest data by using pipelines
Chapter 25: Ingest and transform data-Ingest and transform batch data-Transform data by using PySpark, SQL, and KQL
Chapter 26: Ingest and transform data-Ingest and transform batch data-Denormalize data
Chapter 27: Ingest and transform data-Ingest and transform batch data-Group and aggregate data
Chapter 28: Ingest and transform data-Ingest and transform batch data-Handle duplicate, missing, and late-arriving data
Chapter 29: Ingest and transform data-Ingest and transform streaming data-Choose an appropriate streaming engine
Chapter 30: Ingest and transform data-Ingest and transform streaming data-Process data by using eventstreams
Chapter 31: Ingest and transform data-Ingest and transform streaming data-Process data by using Spark structured streaming
Chapter 32: Ingest and transform data-Ingest and transform streaming data-Process data by using KQL
Chapter 33: Ingest and transform data-Ingest and transform streaming data-Create windowing functions
Chapter 34: Monitor and optimize an analytics solution -Monitor Fabric items-Monitor data ingestion
Chapter 35: Monitor and optimize an analytics solution -Monitor Fabric items-Monitor data transformation
Chapter 36: Monitor and optimize an analytics solution -Monitor Fabric items-Monitor semantic model refresh
Chapter 37: Monitor and optimize an analytics solution -Monitor Fabric items-Configure alerts
Chapter 38: Monitor and optimize an analytics solution -Identify and resolve errors-Identify and resolve pipeline errors
Chapter 39: Monitor and optimize an analytics solution -Identify and resolve errors-Identify and resolve dataflow errors
Chapter 40: Monitor and optimize an analytics solution -Identify and resolve errors-Identify and resolve notebook errors
Chapter 41: Monitor and optimize an analytics solution -Identify and resolve errors-Identify and resolve eventhouse errors
Chapter 42: Monitor and optimize an analytics solution -Identify and resolve errors-Identify and resolve eventstream errors
Chapter 43: Monitor and optimize an analytics solution -Identify and resolve errors-Identify and resolve T-SQL errors
Chapter 44: Monitor and optimize an analytics solution -Optimize performance-Optimize a lakehouse table
Chapter 47: Monitor and optimize an analytics solution -Optimize performance-Optimize eventstreams and eventhouses
Chapter 48: Monitor and optimize an analytics solution -Optimize performance-Optimize Spark performance
Chapter 49: Monitor and optimize an analytics solution -Optimize performance-Optimize query performance

Combo Packages at a Discount: Get one that best fits your learning needs.