DataOps - Deploy SQL Server Databases Using Azure Pipelines
Learn to automate SQL Server database deployments using Azure Pipelines and Visual Studio Database Projects. Covers creating projects, manual deployments, and setting up automated pipelines with secure credential management.
How Spotify Leverages Flyte to Coordinate Financial Analytics Company-Wide
Explore Spotify's use of Flyte for financial analytics, covering MLOps/DataOps needs, best practices for ML/data apps, and how Flyte bridges technical gaps for users of varying proficiency.
DataOps as a Service - Applying DevOps Practices to Data Engineering
Explore DevOps practices in data engineering, addressing challenges and showcasing the Versatile Data Kit for implementing DataOps principles.
How Dashboards as Code Can Help You Develop and Validate Your Analytics
Explore DataOps practices for efficient dashboard development. Learn code-based approaches to streamline BI processes, improve accuracy, and enhance the analytics lifecycle at Glean.
The Implementation of DataOps in Unicom Digital Division: Building Integrated Data Capabilities
Explore Unicom's DataOps implementation using Apache DolphinScheduler, including challenges and solutions for large-scale Hadoop task scheduling.
Automating Azure Data Factory for Rapid Data Ingestion - 20-Minute Solution
Automate Azure Data Factory ingestion into Data Lake using BimlFlex accelerators in just 20 minutes. Learn efficient data loading techniques and DataOps automation.
What Playing Minecraft Taught Me About DevOps
Discover parallels between Minecraft and DevOps, exploring how gaming principles can enhance software development practices and team collaboration.
SQL Server 2022 Migrations with dbatools
Migrate databases to SQL Server 2022 using dbatools, streamlining the process with PowerShell automation for efficient and seamless upgrades.
Data Modernization in a Hybrid World
Explore the data journey from consolidation to hybrid cloud, covering modern architectures, Linux, containers, and a holistic model approach for data management.
Data Observability with HEDDA.IO
Integrate HEDDA.IO for continuous data quality monitoring, error detection, and parameter change alerts across systems, enhancing data observability in your processes and platforms.
The Data Professional in the Era of Generative AI
Explore the convergence of DataOps, MLOps, and LLMs in the era of generative AI. Learn how data analytics and machine learning applications are evolving and creating value for organizations.
All About Ops: DataOps, MLOps, DevOps, AIOps
Explore DataOps, MLOps, DevOps, and AIOps with Michelle and Andreea. Discover how these practices optimize enterprise data, machine learning, and AI projects for improved efficiency and quality.
Power Up Your Lakehouse with Git Semantics and Delta Lake
Enhance data versioning in lakehouses using Delta Lake and lakeFS, enabling git-like semantics for improved time travel, data quality, and operational economics.
Full-link Data Monitoring in Xiaomi Data Integration
Discover comprehensive data monitoring strategies and integration practices used at Xiaomi, focusing on full-link monitoring systems and DataOps implementation techniques.
DataOps 101 - A Better Way to Develop and Deliver Data Analytics
Discover DataOps principles for reliable, timely, and trustworthy Power BI analytics. Learn to continuously improve data development and delivery processes.
Chaos Engineering for SQL Server
Explore Chaos Engineering concepts and methodologies to identify potential weaknesses in SQL Server, enhancing system resilience and reliability.
Merging Power BI into Azure DevOps - Version Control and CI/CD Pipelines
Integrate Power BI with Azure DevOps for centralized version control, change tracking, and streamlined deployment in team development environments.
Code Repos and Automated Deployment with Azure DevOps
Implement Azure DevOps for efficient code management and automated deployment, from concept to execution.