CBTNuggets - DP-600 Implementing Analytics Solutions Using Microsoft Fabric

[dkmdkm]

Free Download CBTNuggets - DP-600 Implementing Analytics Solutions Using Microsoft Fabric
Released 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 129 Lessons ( 13h 2m ) | Size: 4.1 GB
This intermediate DP-600 training prepares learners to integrate diverse data sources, create and deploy data models, implement advanced analytics, and optimize performance with Microsoft Fabric.

Microsoft Fabric comes equipped with some of the industry's most powerful tools and services for designing, creating and deploying enterprise-scale analytics solutions. But without deliberate and thorough training like this course, those tools are just complicated and expensive buttons that no one really understands.
This course puts the enormous power of Microsoft Fabric into your hands. Learn how to design and deploy powerful data solutions that tackle complex challenges. And all the while prepare for the Fabric Analytics Engineer Associate certification.
For IT managers, this Azure training can be used to onboard new data engineers, curated into individual or team training plans, or as a Azure reference resource.
DP-600: What You Need to Know
This DP-600: Implementing Analytics Solutions Using Microsoft Fabric training has videos that cover topics including
Integrating diverse data sources for ingest
Creating robust data modules in Power BI
Implementing advanced analytics with Azure
Improving data models with machine learning and AI
Optimizing enterprise-scale data solutions
Who Should Take DP-600 Training?
This PCEP training is considered foundational-level Python training, which means it was designed for junior software developers. This Python skills course is valuable for new IT professionals with at least a year of experience with software development and experienced junior software developers looking to validate their Python skills.
New or aspiring junior software developers. This course gives brand new software developers a perfect foundation for landing your first Python job. It covers essential Python skills and terminology while giving chances to practice writing clean and efficient code. The projects you'll code in this course will look great in a portfolio and the certification will be great on a resume.
Experienced junior software developers.This is a good course for software developers who have a few years of experience but no formal training in coding. You'll be familiar with most of the concepts on this course, but learning them from the ground up will ensure your foundations are thoroughly covered and you're ready to advance to advanced Python courses or start learning other languages.
Homepage

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

No Password - Links are Interchangeable

 

[0dayddl]

4.03 GB | 00:14:12 | mp4 | 1920X1080 | 16:9
Genre:eLearning |Language:English​

Files Included :

Spoiler

1 Introducing Microsoft Fabric (37.47 MB)
2 Understand OneLake Architecture (66.97 MB)
3 License and Explore Fabric (And Power BI) (103.32 MB)
4 Explore the Admin Settings (74 MB)
5 Other Administrative Dev Tools (58.1 MB)
6 CHALLENGE (15.93 MB)
1 Introducing Semantic Model Design (44.63 MB)
2 Dimensions and Facts (25.31 MB)
3 Star and Snowflake Schema (15.08 MB)
4 1st Form Normalization (26.44 MB)
5 2nd and 3rd Form Normalization (21.46 MB)
6 What Works Best for Analytics (10.25 MB)
7 Merge Queries in Power Query (14.93 MB)
8 CHALLENGE (9.19 MB)
1 Introducing DAX and DAX Studio (37.45 MB)
10 Datetime Functions (13.94 MB)
11 CHALLENGE (9.54 MB)
2 Install DAX Studio (13.61 MB)
3 EVALUATE (26.85 MB)
4 ORDER BY and FILTER (17.4 MB)
5 SUMMARIZECOLUMNS (20.41 MB)
6 Basic DAX Aggregations (13.42 MB)
7 DEFINE (14.33 MB)
8 Iterator (or X) Functions (11.48 MB)
9 CALCULATE (12.08 MB)
1 Introducing External Modeling Tools (54.91 MB)
2 DAX Studio Performance Analysis (29.65 MB)
3 DAX Studio VertiPaq Analyzer (21.53 MB)
4 ALM Toolkit (29.96 MB)
5 Install and Browse Tabular Editor (21.39 MB)
6 Use Tabular Editor Best Practices Analyzer (15.18 MB)
7 Object Level Security (15.34 MB)
8 Row Level Security (35.16 MB)
9 CHALLENGE (13.05 MB)
1 Introduction (92.03 MB)
2 Understand Measure Sprawl (22.37 MB)
3 Create a Calculation Group (10.08 MB)
4 Create Calculation Items (19.83 MB)
5 Use Calculation Groups in a Report (29.85 MB)
6 Add Field Parameters to Switch Measures (17.24 MB)
7 Create Calculation Groups in Power BI (12.84 MB)
8 CHALLENGE (13.5 MB)
1 Introducing the XMLA Endpoint (35.47 MB)
2 Understand the Point of XMLA (18.79 MB)
3 Governance and Configuration (10.18 MB)
4 Connect and Query with SSMS (18.78 MB)
5 Download and Deploy Models with Tabular Editor (19.46 MB)
6 Query Models with DAX Studio (12.27 MB)
7 Compare and Ship Models with ALM Toolkit (26.01 MB)
8 CHALLENGE (12.81 MB)
1 Introducing the Analytics Lifecycle (52.67 MB)
2 Connect a Workspace to Git (34.75 MB)
3 Use Source Control within Fabric (32.63 MB)
4 Use Power BI Project (pbip) Files (13.47 MB)
5 Use Power BI Template (pbit) Files (12.41 MB)
6 Implement a Power BI Deployment Pipeline (25.4 MB)
7 CHALLENGE (17.76 MB)
1 Introducing Fabric Optimization (31.99 MB)
2 Profiling Data (70.93 MB)
3 Storage Modes (18.27 MB)
4 File Partitioning (30.35 MB)
5 Partition Existing Tables (12.66 MB)
6 High Capacity Notebook Sessions (10.57 MB)
7 OPTIMIZE and VACUUM (5.61 MB)
8 V-Order and Optimized Writes (17.51 MB)
9 CHALLENGE (14.76 MB)
1 Introducing Dataflows (76.04 MB)
2 Extract Data (62.12 MB)
3 Aggregate Data (74.09 MB)
4 Merge Data (41.88 MB)
5 Filter Data (23.96 MB)
6 Rank Data (16.24 MB)
7 Publish Data to a Lakehouse (38.1 MB)
8 Schedule Automatic Data Refreshes (15.84 MB)
9 CHALLENGE (33.22 MB)
1 Introducing Data Factory Pipelines (28.74 MB)
2 Create a Data Source in Azure (67.31 MB)
3 Create Your Dataflow to Transform Data (53.31 MB)
4 Prep the Data Destinations (61.29 MB)
5 Set the Data Destination and Create a Pipeline (53.73 MB)
6 Validate and Run the Pipeline (19.36 MB)
7 CHALLENGE (30.53 MB)
1 Introducing Fabric Lakehouses (27.96 MB)
2 Recall Why OneLake and Lakehouses Matter (67.83 MB)
3 Get Some Sample Data (19.45 MB)
4 Create a Lakehouse and Upload Data Files (42.8 MB)
5 Load Data Into Delta Tables (57.57 MB)
6 Explore the SQL Analytics Endpoint (60.22 MB)
7 Create a Shortcut (54.51 MB)
8 CHALLENGE (27.75 MB)
1 Introducing Lakehouse Frontend Data Analysis (36.66 MB)
2 Understand Where Frontend Analytics Comes In (32.6 MB)
3 Create a Visual Query (34.66 MB)
4 Filter and Organize Data (36.16 MB)
5 Transform and Add Columns (34.97 MB)
6 Work with Semantic Models (78.5 MB)
7 Create Reports (26.31 MB)
8 CHALLENGE (26.26 MB)
1 Introducing Data Warehouses (41 MB)
2 Creating a Data Warehouse (42.52 MB)
3 Perform DDL Operations (49.28 MB)
4 INSERT and UPDATE Operations (49.15 MB)
5 Alter Tables Sort of (33.49 MB)
6 Update Records with Calculations (24.1 MB)
7 Copy Data From External Sources with COPY INTO (40.32 MB)
8 CHALLENGE (22.52 MB)
1 Introducing Fabric Notebooks (42.01 MB)
2 What Spark Really Is (37.37 MB)
3 Load Data Into Spark Notebooks (96.85 MB)
4 Set and Alter Schema Data Types and Columns (82.04 MB)
5 Filter Data (35.31 MB)
6 Aggregate, Group, and Sort Data (39.64 MB)
7 CHALLENGE (20.83 MB)
1 Introducing Data Querying and Writing in Notebooks (31.98 MB)
2 Join Dataframes (41.69 MB)
3 Write Files to a Lakehouse (33.57 MB)
4 Write Data to Delta Tables (25.39 MB)
5 Querying with SQL and Python (34.44 MB)
6 Scheduling and Orchestrating Notebooks (15.27 MB)
7 CHALLENGE (11.67 MB)
1 Introducing Semantic Models (57.55 MB)
2 Get Some Data (30.96 MB)
3 Create Semantic Model Relationships (25.04 MB)
4 Auto-Generate a Report from Your Model (11.71 MB)
5 Create DAX Measures (12.25 MB)
6 Connect to Fabric with Power BI Desktop (20.52 MB)
7 Connect to the SQL Analytics Endpoint (12.73 MB)
8 Publish Apps (31.88 MB)
9 CHALLENGE (13.9 MB)

Screenshot

Spoiler

​

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!