AWS EMR Studio and EMR Serverless: A Guide to Creating and Managing Applications
Create and manage applications with AWS EMR Studio and EMR Serverless: setup, running Spark jobs, monitoring and cost considerations.
AWS Database Migration Service (DMS): A Complete Guide to Seamless Data Migration
A complete guide to AWS Database Migration Service (DMS): plan, configure and run database migrations to AWS with minimal downtime.
AWS Glue: A Comprehensive Guide to ETL and Data Integration in the Cloud
AWS Glue explained: crawlers, Data Catalog, ETL jobs and triggers to integrate and transform data in a fully managed, serverless service.
Empowering Data Analytics and AI: A Deep Dive into Databricks’ Innovations
A deep dive into Databricks innovations for data analytics and AI: lakehouse, Unity Catalog, Delta Lake and generative AI features.
Mastering Data Workflows: Dynamic Customer Data Pipelines with Azure Data Factory Parameterization (2024 Update)
Build dynamic customer data pipelines with Azure Data Factory parameterisation: parameters, dynamic file names and reusable pipeline patterns.
Posted inAzure Big data Microsoft Fabric
A Comprehensive Guide to Microsoft Fabric: Unifying Data and Analytics in the Cloud
A comprehensive guide to Microsoft Fabric: data integration, engineering, warehousing, real-time analytics and Power BI in one unified platform.
A Comprehensive Guide to Azure Cosmos DB: The Ultimate NoSQL Database for Modern Applications
Azure Cosmos DB explained: global distribution, consistency levels, APIs and pricing for building fast, modern NoSQL applications.
A Comprehensive Guide to Azure Databases and Services
An overview of Azure database services, from Azure SQL and Cosmos DB to Azure Database for PostgreSQL and MySQL, and when to use each one.
How Big Companies Scale Data Engineering Pipelines for Massive Data Volumes
How big companies scale data engineering pipelines for massive data volumes: distributed processing, streaming, partitioning and storage design.
Delta Live Tables: A New Era for Data Pipeline Automation in Databricks
Delta Live Tables in Databricks: build reliable, automated data pipelines with declarative ETL, data quality expectations and monitoring.