Skip to content
  • Sunday, 15 June 2025
  • 3:42 pm
  • Follow Us
Data Engineer

Data/ML Engineer Blog

  • Home
  • AL/ML Engineering
    • AWS AI/ML Services
    • Compute & Deployment
    • Core AI & ML Concepts
      • Data Processing & ETL
      • Decision Trees
      • Deep Learning
      • Generative AI
      • K-Means Clustering
      • Machine Learning
      • Neural Networks
      • Reinforcement Learning
      • Supervised Learning
      • Unsupervised Learning
    • Database & Storage Services
    • Emerging AI Trends
    • Evaluation Metrics
    • Industry Applications of AI
    • MLOps & DevOps for AI
    • Model Development & Optimization
    • Prompting Techniques
      • Adversarial Prompting
      • Chain-of-Thought Prompting
      • Constitutional AI Prompting
      • Few-Shot Prompting
      • Instruction Prompting
      • Multi-Agent Prompting
      • Negative Prompting
      • Prompt Templates
      • ReAct Prompting
      • Retrieval-Augmented Generation (RAG)
      • Self-Consistency Prompting
      • Zero-Shot Prompting
    • Security & Compliance
      • AWS KMS
      • AWS Macie
      • Azure Key Vault
      • Azure Purview
      • BigID
      • Cloud DLP
      • Collibra Privacy & Risk
      • HashiCorp Vault
      • Immuta
      • Okera
      • OneTrust
      • Privacera
      • Satori
  • Data Engineering
    • Cloud Platforms & Services
      • Alibaba Cloud
      • AWS (Amazon Web Services)
      • Azure Microsoft
      • Google Cloud Platform (GCP)
      • IBM Cloud
      • Oracle Cloud
    • Containerization & Orchestration
      • Amazon EKS
      • Apache Oozie
      • Azure Kubernetes Service (AKS)
      • Buildah
      • Containerd
      • Docker
      • Docker Swarm
      • Google Kubernetes Engine (GKE)
      • Kaniko
      • Kubernetes
      • Podman
      • Rancher
      • Red Hat OpenShift
    • Data Catalog & Governance
      • Amundsen
      • Apache Atlas
      • Apache Griffin
      • Atlan
      • AWS Glue
      • Azure Purview
      • Collibra
      • Databand
      • DataHub
      • Deequ
      • Google Data Catalog
      • Google Dataplex
      • Great Expectations
      • Informatica
      • Marquez
      • Monte Carlo
      • OpenLineage
      • OpenMetadata
      • Soda SQL
      • Spline
    • Data Ingestion & ETL
      • Apache Kafka Connect
      • Apache NiFi
      • Census
      • Confluent Platform
      • Debezium
      • Fivetran
      • Hightouch
      • Informatica PowerCenter
      • Kettle
      • Matillion
      • Microsoft SSIS
      • Omnata
      • Polytomic
      • Stitch
      • StreamSets
      • Striim
      • Talend
    • Data Lakes & File Standards
      • Amazon S3
      • Azure Data Lake Storage
      • Cloudera Data Platform
      • Databricks Delta Lake
      • Dremio
      • Google Cloud Storage
    • Data Platforms
      • Cloud Data Warehouses
        • ClickHouse
        • Databricks
        • Snowflake
          • Internal and External Staging in Snowflake
          • Network Rules in Snowflake
          • Procedures + Tasks
          • Snowflake administration and configuration
          • Snowflake Cloning
      • NoSQL Databases
      • On-Premises Data Warehouses
        • DuckDB
      • Relational Databases
        • Amazon Aurora
        • Azure SQL Database
        • Google Cloud SQL
        • MariaDB
        • Microsoft SQL Server
        • MySQL
        • Oracle Database
        • PostgreSQL
    • Data Streaming & Messaging
      • ActiveMQ
      • Aiven for Kafka
      • Amazon Kinesis
      • Amazon MSK
      • Apache Kafka
      • Apache Pulsar
      • Azure Event Hubs
      • Confluent Platform
      • Google Pub/Sub
      • IBM Event Streams
      • NATS
      • RabbitMQ
      • Red Hat AMQ Streams
    • Data Warehouse Design
      • Data Governance and Management (DGaM)
        • Compliance Requirements
        • Data Lineage
        • Data Retention Policies
        • Data Stewardship
        • Master Data Management
      • Data Warehouse Architectures (DWA)
        • Enterprise Data Warehouse vs. Data Marts
        • Hub-and-Spoke Architecture
        • Logical vs. Physical Data Models
        • ODS (Operational Data Store)
        • Staging Area Design
      • Data Warehouse Schemas (DWS)
        • Data Vault
        • Galaxy Schema (Fact Constellation)
        • Inmon (Normalized) Approach
        • Kimball (Dimensional) Approach
        • Snowflake Schema
        • Star Schema
      • Database Normalization
      • Dimensional Modeling Techniques (DMT)
        • Bridge Tables
        • Conformed Dimensions
        • Degenerate Dimensions
        • Junk Dimensions
        • Mini-Dimensions
        • Outrigger Dimensions
        • Role-Playing Dimensions
      • ETL/ELT Design Patterns
        • Change Data Capture (CDC)
        • Data Pipeline Architectures
        • Data Quality Management
        • Error Handling
        • Metadata Management
      • Fact Table Design Patterns(FTDP)
        • Accumulating Snapshot Fact Tables
        • Aggregate Fact Tables
        • Factless Fact Tables
        • Periodic Snapshot Fact Tables
        • Transaction Fact Tables
      • Modern Data Warehouse Concepts (MDWC)
        • Data Lakehouse
        • Medallion Architecture
        • Multi-modal Persistence
        • Polyglot Data Processing
        • Real-time Data Warehousing
      • Performance Optimization (PO)
        • Compression Techniques
        • Indexing Strategies
        • Materialized Views
        • Partitioning
        • Query Optimization
      • Slowly Changing Dimensions(SCD)
        • SCD Type 0
        • SCD Type 1
        • SCD Type 2
        • SCD Type 3
        • SCD Type 4
        • SCD Type 6
        • SCD Type 7
    • Distributed Data Processing
      • Apache Beam
      • Apache Flink
      • Apache Hadoop
      • Apache Hive
      • Apache Pig
      • Apache Pulsar
      • Apache Samza
      • Apache Spark
      • Apache Storm
      • Presto/Trino
      • Spark Streaming
    • Infrastructure as Code & Deployment
      • Ansible
      • Argo CD
      • AWS CloudFormation
      • Azure Resource Manager Templates
      • Chef
      • CircleCI
      • GitHub Actions
      • GitLab CI/CD
      • Google Cloud Deployment Manager
      • Jenkins
      • Pulumi
      • Puppet: Configuration Management Tool for Modern Infrastructure
      • Tekton
      • Terraform
      • Travis CI
    • Monitoring & Logging
      • AppDynamics
      • Datadog
      • Dynatrace
      • ELK Stack
      • Fluentd
      • Graylog
      • Loki
      • Nagios
      • New Relic
      • Splunk
      • Vector
      • Zabbix
    • Operational Systems (OS)
      • Ubuntu
        • Persistent Tasks on Ubuntu
      • Windows
    • Programming Languages
      • Go
      • Java
      • Julia
      • Python
        • Dask
        • NumPy
        • Pandas
        • PySpark
        • SQLAlchemy
      • R
      • Scala
      • SQL
    • Visualization Tools
      • Grafana
      • Kibana
      • Looker
      • Metabase
      • Mode
      • Power BI
      • QuickSight
      • Redash
      • Superset
      • Tableau
    • Workflow Orchestration
      • Apache Airflow
      • Apache Beam Python SDK
      • Azkaban
      • Cron
      • Dagster
      • DBT (data build tool)
      • Jenkins Job Builder
      • Keboola
      • Luigi
      • Prefect
      • Rundeck
      • Temporal
  • Home
  • Data Mesh vs. Data Lakehouse
Data Mesh vs. Data Lakehouse: Which Architecture Fits Your Business?
DataLake Structure

Data Mesh vs. Data Lakehouse

Alex Mar 16, 2025 0

Data Mesh vs. Data Lakehouse: Which Architecture Fits Your Business? Breaking Down Two Modern Data Paradigms—and How to Choose Wisely…

Read More
Real-Time Analytics with Snowflake Streams, Tasks, and Power BI
Analytics Snowflake

Real-Time Analytics with Snowflake Streams, Tasks, and Power BI

Alex Mar 14, 2025 0

Real-Time Analytics with Snowflake Streams, Tasks, and Power BI: Building Near Real-Time Reporting Solutions In today’s fast-paced business environment, waiting…

Read More
Open-Source Analytics Databases
DuckDB OpenSource

Open-Source Analytics Databases

Alex Mar 5, 2025 0

Open-Source Analytics Databases: Powerful Options for Data Engineers In today’s data-driven world, open-source analytics databases have become indispensable tools for…

Read More
StarRocks vs. Snowflake
Data Snowflake StarRock

StarRocks vs. Snowflake

Alex Mar 2, 2025 0

StarRocks vs. Snowflake: Choosing the Right Platform for Your Data Workloads In the rapidly evolving world of data engineering, choosing…

Read More
The AI Revolution
Data Monthly

The AI Revolution in Data Engineering

Alex Mar 2, 2025 0

The AI Revolution in Data Engineering: What’s New in February 2025? Data engineering has always been about wrangling chaos into…

Read More
From Data to Insights
Structure

From Data to Insights

Alex Feb 26, 2025 0

From Data to Insights: Supporting AI, Machine Learning, and Visualization with AWS In today’s fast-paced, data-driven world, transforming raw data…

Read More
From Digital Native to AI Native
AI

From Digital Native to AI Native

Alex Feb 14, 2025 0

From Digital Native to AI Native: The Evolution Every IT Professional Must Make You’re staring at another 200-line SQL query…

Read More
10 Free AI-Powered Apps
AI

10 Free AI-Powered Apps

Alex Jan 25, 2025 0

10 Free AI-Powered Apps You Should Start Using Today Artificial Intelligence (AI) is no longer a futuristic concept; it’s a…

Read More
Building Cost-Efficient Data Pipelines in 2025
Data ETL/ELT

Building Cost-Efficient Data Pipelines in 2025

Alex Jan 14, 2025 0

Building Cost-Efficient Data Pipelines in 2025: Strategies for Modern Workloads In 2025, as organizations continue to scale their data operations,…

Read More
Amazon Athena vs. Traditional
AWS Data VS

Amazon Athena vs. Traditional CSV Analysis

Alex Nov 24, 2024 0

Amazon Athena vs. Traditional CSV Analysis: Why Serverless Querying Wins in Modern Data Workflows In the world of modern data…

Read More

Posts pagination

1 … 4 5 6 … 8

Recent Posts

  • GenAI-Assisted Data Cleaning
  • Iceberg vs. Hudi vs. Delta Lake
  • The Great Cloud Vendor War
  • Observability-Driven Data Engineering
  • Mastering Slowly Changing Dimensions

Recent Comments

  1. Ustas on The Genius of Snowflake’s Hybrid Architecture: Revolutionizing Data Warehousing

Archives

  • June 2025
  • May 2025
  • April 2025
  • March 2025
  • February 2025
  • January 2025
  • November 2024
  • October 2024
  • September 2024
  • August 2024
  • July 2024
  • June 2024
  • May 2024
  • April 2024
  • March 2024
  • February 2024
  • January 2024
  • December 2023
  • November 2023
  • October 2023
  • September 2023
  • August 2023
  • July 2023
  • June 2023
  • May 2023

Categories

  • AI
  • Analytics
  • AWS
  • ClickHouse
  • Data
  • Databricks
  • DataLake
  • DuckDB
  • ETL/ELT
  • Future
  • ML
  • Monthly
  • OpenSource
  • Snowflake
  • StarRock
  • Structure
  • VS
YOU MAY HAVE MISSED
GenAI-Assisted Data Cleaning: Beyond Rule-Based Approaches
AI Data
GenAI-Assisted Data Cleaning
Alex Jun 14, 2025
Iceberg vs. Hudi vs. Delta Lake
Data VS
Iceberg vs. Hudi vs. Delta Lake
Alex Jun 13, 2025
The Great Cloud Vendor War
Data VS
The Great Cloud Vendor War
Alex Jun 12, 2025
Observability-Driven Data Engineering
Data
Observability-Driven Data Engineering
Alex Jun 10, 2025

(c) Data/ML Engineer Blog