Etl

40 articles tagged with "Etl"

How AWS IoT Core Processes IoT Event Streams

How AWS IoT Core Processes IoT Event Streams

Explains how IoT Core ingests, filters, and routes device events, plus guidance on scaling, replay, and reliability.

⦁ 7 min read
Data Engineering
Airflow DAGs: Core Concepts and Task Design

Airflow DAGs: Core Concepts and Task Design

Design Airflow DAGs for safe retries and idempotent publishing: task boundaries, sensors, schedules, timeouts, and testing.

⦁ 10 min read
Data Engineering
Security and Compliance in Data Migration

Security and Compliance in Data Migration

Checklist for secure data migration: planning, encryption, access controls, logging, testing, cleanup, and post-move governance.

⦁ 13 min read
Data Engineering
12 ClickHouse Architecture Interview Questions

12 ClickHouse Architecture Interview Questions

Guide to ClickHouse architecture: columnar storage, MergeTree parts, partitions, shards, replicas, Distributed tables, and query flow.

⦁ 9 min read
Data Engineering
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
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