TechBrothersIT
TechBrothersIT YouTube Channel is your trusted hub for step-by-step tutorials in data engineering, cloud platforms, and enterprise tools. We cover SQL Server, Azure Data Factory, Databricks, PySpark, GCP Cloud SQL, BigQuery, Kusto Query Language (KQL), and T-SQL. Dive into hands-on guides for SQL Server DBA, SSIS, SSRS, Data Warehousing, Microsoft Dynamics AX, Azure, AWS, and Team Foundation Server. Learn from real-world projects, master interview questions, and sharpen your skills with practical scenarios. Whether you're a data engineer, BI developer, or cloud architect, this channel helps you stay ahead of the curve.
Fix “File Cannot Be Opened” Error in Azure Synapse | File Not Found or In Use Issue Explained
Aggregate Functions in Fabric Warehouse – SUM, AVG, MAX, MIN, COUNT | Microsoft Fabric Tutorial
Top PySpark Built-in DataFrame Functions Explained | col(), lit(), when(), expr(), rand() & More
Mount ADLS Gen2 Storage Using Linked Service in Azure Synapse Analytics | Azure Synapse Tutorial
Create, Modify & Manage Tables with T-SQL in Fabric Warehouse | Microsoft Fabric Tutorial
PySpark Date and Timestamp Types - DateType, TimestampType, Interval Types | PySpark Tutorial
Join CSV & Parquet Files in PySpark | Filter, Aggregate & Save to CSV in Synapse Notebook
Microsoft Fabric Warehouse Tutorial – Schemas, Tables & SELECT Queries | Microsoft Fabric Tutorial
PySpark Complex Data Types Explained : ArrayType, MapType, StructType & StructField for Beginners
Incrementally Write Data to Delta Lake in Azure Synapse Analytics | Azure Synapse Tutorial
Load Data to Warehouse Table from ADLS Gen2 Using Dataflow Gen2 | Microsoft Fabric Tutorial
Core Data Types in PySpark Explained -IntegerType, FloatType, DoubleType, DecimalType, StringType
Read CSV, Parquet & JSON Files Using Apache Spark Pool in Azure Synapse | #azuresynapse
Load Data to Warehouse Table from ADLS Gen2 Using Pipeline | Microsoft Fabric Tutorial
Working with Structs and Nested Fields in PySpark getField, getItem, withField, dropFields
Write Single CSV, Parquet, JSON Files Using Apache Spark Pool in Azure Synapse | #azuresynapse
Table Creation & Data Ingestion in Fabric Warehouse Using T-SQL | Microsoft Fabric Tutorial
PySpark String Functions Explained | contains(), startswith(), substr(), endswith() #pyspark
Using Magic Commands in Azure Synapse Notebooks | Examples & Tips | #azuresynapse #pyspark
Create Warehouse in Microsoft Fabric, First Table & Load Data | Microsoft Fabric Tutorial
PySpark when() and otherwise() Explained |Apply If-Else Conditions to DataFrames #pysparktutorial
How to Create Your First Azure Synapse Notebook | Step-by-Step Tutorial for Synapse Analytics
Microsoft Fabric Warehouse Tutorial for Beginners Lakehouse vs Warehouse | Microsoft Fabric Tutorial
PySpark Null & Comparison Functions : Between(), isNull(), isin(), like(), rlike(), ilike()
How to Create and Configure Spark Pools in Azure Synapse Analytics -Azure Synapse Analytics Tutorial
Monitor Long Running & Frequent Queries in Lakehouse Tables | Microsoft Fabric Tutorial
PySpark cast() vs astype() Explained |Convert String to Int, Float & Double in DataFrame #pyspark
What Are Apache Spark Pools in Azure Synapse Analytics | Overview & Use Cases | #azuresynapse
Connect to SQL Analytics Endpoint Using SQL Server Management Studio | Microsoft Fabric Tutorial
PySpark Sorting Explained | ASC vs DESC | Handling NULLs with asc_nulls_first & desc_nulls_last