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36 articles tagged with "Etl"

How to Build AI Streams with Kafka and Flink

How to Build AI Streams with Kafka and Flink

Low-latency AI streams: use Kafka to ingest, Flink to build features and score, with replay, lateness handling, and exactly-once delivery.

⦁ 12 min read
AI Engineering
7 Signs Python Pipelines Need Performance Profiling

7 Signs Python Pipelines Need Performance Profiling

Seven practical signals that reveal when your Python data pipeline needs profiling to find code, orchestration, or infrastructure bottlenecks.

⦁ 20 min read
Data Engineering
Serverless Allocation Models For ETL And AI Workloads

Serverless Allocation Models For ETL And AI Workloads

Match serverless settings to each workload's tightest limit: latency for inference, throughput for ETL, dbt warehouse, joins for features.

⦁ 15 min read
Data Engineering
Apache Spark Certification Exam Topics List

Apache Spark Certification Exam Topics List

Checklist of Spark exam essentials: DataFrames/SQL, joins, partitions, performance, streaming, and testing for hands-on prep.

⦁ 10 min read
Data Engineering
30 Snowflake Interview Questions for Data Engineers

30 Snowflake Interview Questions for Data Engineers

Core Snowflake interview topics: architecture, warehouses, recovery, loading, and security — emphasize trade-offs in cost, speed, and risk.

⦁ 9 min read
Data Engineering
How to Use Context Mapping for Data Architecture

How to Use Context Mapping for Data Architecture

Map bounded contexts, classify relationships, and choose integration patterns to reduce rework, schema drift, and pipeline breakage.

⦁ 10 min read
Data Engineering
How CQRS Works with Event Sourcing

How CQRS Works with Event Sourcing

Commands change state, events record facts, and projections build read models—covers aggregates, snapshots, concurrency, and replay.

⦁ 10 min read
Data Engineering
ETL vs ELT: Pros, Cons, and Use Cases

ETL vs ELT: Pros, Cons, and Use Cases

Quickly compare ETL and ELT: when to transform data, plus trade-offs in cost, security, scalability, and use cases.

⦁ 8 min read
Data Engineering
AWS Data Engineer Practice Questions Explained

AWS Data Engineer Practice Questions Explained

Matching AWS services to workload beats memorization—use access pattern, latency, and control to choose S3, Glue, Redshift, or Athena.

⦁ 13 min read
Data Engineering
ETL Pipeline Benchmarking: Metrics to Track

ETL Pipeline Benchmarking: Metrics to Track

Measuring the right ETL metrics—throughput, freshness, quality, cost, and scalability—prevents silent failures and runaway cloud spend.

⦁ 15 min read
Data Engineering
How to Tune Concurrency in Apache Airflow

How to Tune Concurrency in Apache Airflow

Tune Airflow concurrency across global, DAG, task, and executor levels using pools, metrics, and incremental tests to remove scheduling bottlenecks.

⦁ 13 min read
Data Engineering
Databricks ETL Optimization for Petabyte Data

Databricks ETL Optimization for Petabyte Data

Guide to tuning Databricks for petabyte ETL: cluster sizing, Delta Lake layout, Auto Loader, AQE, and predictive optimization.

⦁ 15 min read
Data Engineering
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