A Deeper Dive
A deeper dive into data engineering, data science, real-time analytics, Power BI, Spark, Data Warehousing and more
Lo que serás capaz de hacer
A deeper dive into what you might ask? A deeper dive than what our initial Microsoft Fabric course covers. We go more deeply into data engineering, data science, data warehousing, Spark, Power BI with DirectLake, Power BI with Semantic Link with end-to-end examples and studies. If you are a Power BI developer, you will love our deep dive into DirectLake where we use a 170 million row fact table to show that DirectLake is every bit as fast as tabular import mode. Hard to believe but true. We also cover Semantic Link with Power BI allowing Spark notebooks to interact with Power BI datasets. If data engineering is your specialty we go through and end-to-end project demonstrating how to use Dataflows Gen2 and Data Factory Copy Activity, with pipelines to build an ingestion process. If your interest is data science we go through an end-to-end machine learning project to demonstrate how Fabric and notebooks can be used or predict how long a taxi ride might take in New York City. If you have a need to learn more about real-time analytics and KQL, we go through a project where we simulate taxi data being ingested using event streams and KQL. If you are interested in building a data warehouse, we have an end-to-end data warehouse project showing how this can be done in Microsoft Fabric. Interested in Apache Spark? We cover the important areas of Spark and how it integrates into Microsoft Fabric. By the time you complete this 10+ hour course you will feel completely comfortable using all the most commonly used experiences in Microsoft Fabric.
- Power BI with DirectLake. A 170 million row fact table is used to demonstrate we don't need import mode any more!
- Apache Spark Integration into Microsoft Fabric
- Data science in Microsoft Fabric attempting to predict how long a taxi ride in New York City might take
- Ingesting data using the power and flexibility of data pipelines with DataFlows Gen2 and Data Factory
- Building a data warehouse in Microsoft Fabric
- Building a real-time analytics solution using New York City taxi data and Event Streams with KQL
Temario
UNIDAD 1 - Introduction · 3 leccionesUNIDAD 1 - Introduction
UNIDAD 1 - Introduction
- Introduction
- Exercises and Quizzes in this Course - Please Watch!
- Getting Started with Microsoft Fabric
UNIDAD 2 - Direct Lake and Power BI · 8 leccionesUNIDAD 2 - Direct Lake and Power BI
UNIDAD 2 - Direct Lake and Power BI
- Overview - Part 1
- Overview - Part 2
- XMLA-Write Support
- Putting Direct Lake to the Test - Part 1
- Putting Direct Lake to the Test - Part 2
- Power BI Desktop and Direct Lake
- On-Demand Loading
- Default Semantic Model vs. Custom Model
UNIDAD 3 - Data Science in Microsoft Fabric · 18 leccionesUNIDAD 3 - Data Science in Microsoft Fabric
UNIDAD 3 - Data Science in Microsoft Fabric
- Introduction to Data Science
- Data Science in Microsoft Fabric
- Notebooks
- Experiments
- Models
- Preparing Data - Data Wrangling
- End-to-End Project: Getting Set Up
- End-to-End Project: Ingesting Data
- End-to-End Project: Exploring the Data Part 1
- End-to-End Project: Exploring the Data Part 2
- End-to-End Project: Exploring the Data Part 3
- End-to-End Project: Exploring the Data Part 4
- End-to-End Project: Train and Evaluate the Data Part 1
- End-to-End Project: Train and Evaluate the Data Part 2
- End-to-End Project: Train and Evaluate the Data Part 3
- End-to-End Project: Train and Evaluate the Data Part 4
- End-to-End Project: Reporting Part 1
- End-to-End Project: Reporting Part 2
UNIDAD 4 - Real-Time Analytics in Microsoft Fabric · 9 leccionesUNIDAD 4 - Real-Time Analytics in Microsoft Fabric
UNIDAD 4 - Real-Time Analytics in Microsoft Fabric
- Introduction to Real-Time Analytics in Microsoft Fabric
- Event Stream
- Creating a KQL Database
- Creating an Event Stream
- Getting Location Data
- Adding the Data to the Lakehouse
- Exploring the Data
- More Data Exploration
- Real-Time Analytics becomes Real-Time Intelligence
UNIDAD 5 - Data Factory in Microsoft Fabric · 6 leccionesUNIDAD 5 - Data Factory in Microsoft Fabric
UNIDAD 5 - Data Factory in Microsoft Fabric
- Introduction to Data Factory in Microsoft Fabric
- Building a Pipeline - Part 1
- Building a Pipeline - Part 2
- Building a Pipeline - Part 3
- Building a Pipeline - Part 4
- Building a Pipeline - Part 5
UNIDAD 6 - Data Warehouse in Microsoft Fabric · 7 leccionesUNIDAD 6 - Data Warehouse in Microsoft Fabric
UNIDAD 6 - Data Warehouse in Microsoft Fabric
- Introduction to the Microsoft Fabric Data Warehouse
- Building a Data Warehouse - Part 1
- Building a Data Warehouse - Part 2
- Building a Data Warehouse - Part 3
- Building a Data Warehouse - Visual Query Builder
- Using Shortcuts to Analyze Data in a Lakehouse
- Modeling the Data and Auto-Generating a Power BI Report
UNIDAD 7 - Apache Spark in Microsoft Fabric · 15 leccionesUNIDAD 7 - Apache Spark in Microsoft Fabric
UNIDAD 7 - Apache Spark in Microsoft Fabric
- Introduction to Apache Spark in Fabric
- Spark Libraries
- Dataframe Basics - Part 1
- Dataframe Basics - Part 2
- Dataframe Basics - Part 3
- Common Operations with Dataframes
- Filtering Data
- Aggregating Data
- Joining Dataframes
- Working with Dates
- SQL Statements and Spark
- Machine Learning
- Microsoft Fabric 1.1. / Spark Runtime
- Spark Configuration
- Spark Autotuning
UNIDAD 8 - Miscellaneous Topics · 7 leccionesUNIDAD 8 - Miscellaneous Topics
UNIDAD 8 - Miscellaneous Topics
- Semantic Link for Power BI - Part 1
- Semantic Link for Power BI - Part 2
- Semantic Link for Power BI - Part 3
- Data Activator - Part 1
- Data Activator - Part 2
- Microsoft Fabric Licensing and Pricing
- Microsoft Fabric Licensing and Pricing July 2024 Update
UNIDAD 9 - Microsoft Fabric Updates · 3 leccionesUNIDAD 9 - Microsoft Fabric Updates
UNIDAD 9 - Microsoft Fabric Updates
- January - June 2025 Part 1
- January - June 2025 Part 2
- Bonus Offer
Tu certificado lo emite la SEP, no solo una plataforma
Al demostrar la competencia recibes un certificado emitido por la Secretaría de Educación Pública a través del Gobierno del Estado de México: un documento oficial que puedes presentar con confianza ante cualquier empleador o institución.
Tu certificado con INEC
- Lo emite la Secretaría de Educación Pública (SEP), a través del Gobierno del Estado de México
- Documento oficial con folio verificable en línea
- Lo otorga la Universidad Tecnológica Fidel Velázquez
Otras plataformas en línea
- Constancia privada emitida por la misma plataforma
- Solo acredita horas cursadas o asistencia
- Sin respaldo de una autoridad educativa
Tu itinerario, de la inscripción al certificado
- 1
Inscripción con pago único
Pagas $2,800 MXN una sola vez y entras de inmediato al curso.
- 2
Estudias a tu ritmo
9 unidades con videos, lecturas y actividades, disponibles 24/7 durante 12 meses.
- 3
Cuestionarios por unidad
Cuestionarios para comprobar lo aprendido.
- 4
Certificado
Emitido por la SEP a través del Gobierno del Estado de México, con folio verificable.
Un certificado oficial de la SEP
Muestra · verificable por folio y QR
- Emitido por la Secretaría de Educación Pública (SEP), a través del Gobierno del Estado de México. No es una constancia privada: es un documento oficial, y ese respaldo marca la diferencia frente a otras plataformas en línea.
- Contenido impartido por Randy Minder.
- Folio y QR verificables para compartirlo con quien te contrate.
Empieza hoy, a tu ritmo
Un solo pago y acceso inmediato al curso completo durante 12 meses.
- 9 unidades · 76 lecciones · 45 h
- 12 meses de acceso
- Certificado emitido por la SEP (Gob. del Estado de México) con folio verificable
Sobre tu inscripción
¿Cómo es el pago?
Un solo pago de $2,800 MXN. No hay mensualidades ni cargos recurrentes.
¿Cuánto tiempo tengo acceso?
12 meses desde tu inscripción, 24/7, para avanzar a tu ritmo.
¿Quién imparte el contenido?
El curso es impartido por Randy Minder; INEC gestiona tu inscripción, evaluación y certificado.
¿Qué pasa cuando vence mi acceso?
Puedes renovar tu cuenta tú mismo desde la plataforma, sin trámites ni esperas.
