AI & Data
Snowflake Advanced Data Engineer: Snowpark for Data Engineering
Snowpark brings DataFrame-style programming into Snowflake so engineers can build transformations in languages such as Python while keeping execution close…
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Browse practical guides, technical explanations and certification coverage.
AI & Data
Databricks Data Engineer Associate: CI/CD for Data Engineering
CI/CD for data engineering is the practice of treating notebooks, Python packages, SQL, job definitions, pipeline resources, tests, and environment…
AI & Data
Databricks Data Engineer Associate: Lakehouse Architecture
A lakehouse architecture combines data-lake scale and openness with warehouse-style reliability, governance, and analytics. On Databricks, the architecture is not…
AI & Data
Databricks Data Engineer Associate: SQL Warehouses for Analytics
Databricks SQL warehouses provide managed compute for SQL analytics, dashboards, BI tools, and ad hoc queries over lakehouse data. The…
AI & Data
Databricks Data Engineer Associate: Delta Transactions & Medallion Design
Delta Lake transactions and the medallion pattern solve two different problems that become more valuable when they are used together.…
AI & Data
Databricks Data Engineer Associate: Incremental Delta Lake Processing
Within Databricks, incremental data processing is the practice of computing what changed instead of repeatedly rebuilding everything. At small scale,…
AI & Data
Databricks Data Engineer Associate: Lakeflow Jobs and Orchestration
Lakeflow Jobs is Databricks' workflow orchestration layer for coordinating notebooks, Python code, SQL, pipelines, and other tasks as dependable production…
AI & Data
Databricks Data Engineer Associate: PySpark DataFrames
PySpark DataFrames are one of the main programming interfaces for transforming structured and semi-structured data on Databricks. They let engineers…
AI & Data
Databricks Data Engineer Associate: Schema Evolution & Data Quality
Schema change is normal in data engineering. Sources add fields, rename concepts, change optionality, widen numeric ranges, and occasionally send…
AI & Data
Databricks Data Engineer Associate: Troubleshooting Slow Spark Jobs
A slow Spark job is rarely fixed by immediately choosing a larger cluster. Performance problems usually come from a specific…
AI & Data
Databricks Data Engineer Associate: Unity Catalog Governance
Unity Catalog is the governance layer that connects identity, permissions, lineage, auditing, discovery, and policy across data and AI assets…
AI & Data
Databricks GenAI Engineer Associate: Building RAG Systems
Retrieval-augmented generation, or RAG, improves a generative AI application by retrieving relevant enterprise information and placing that information into the…
AI & Data
Databricks GenAI Engineer Associate: Unity Catalog for GenAI
Generative AI governance must cover more than model access. Production applications depend on prompts, evaluation datasets, vector indexes, tools, functions,…
AI & Data
Databricks GenAI Engineer Associate: MLflow GenAI Evaluation
Generative AI evaluation is difficult because many important qualities are not captured by one accuracy number. A response can be…
AI & Data
Databricks GenAI Engineer Associate: Serving & Monitoring GenAI Models
Putting a generative AI model behind an endpoint is only the start of production operations. A reliable serving design must…