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January 21, 2026

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Month: January 2026

dataopsschool January 17, 2026 0

Jaeger Training: Build Essential Observability Skills

Introduction Modern applications are no longer simple, single-layer systems. They are built using microservices, containers, APIs, and cloud-native architectures. While this approach improves scalability and flexibility, it also introduces a…

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dataopsschool January 17, 2026 0

Mastering Jacoco for Professional Java Development

In the modern software development lifecycle, the speed of delivery is often prioritized. However, speed without quality is a recipe for technical debt and production failures. For Java developers and…

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dataopsschool January 17, 2026 0

Mastering DevOps & Different Tools for Real-World Success

In the modern era of software engineering, the traditional boundaries between writing code and managing infrastructure have almost entirely vanished. For years, organizations struggled with the “wall of confusion”—a metaphorical…

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dataopsschool January 17, 2026 0

DevOps Trainers and Consultants: A Professional Guide to Mastering Automation

Navigating the Complex DevOps Landscape with Expert Guidance In today’s rapidly evolving technology landscape, organizations face mounting pressure to deliver software faster, more reliably, and with greater security. The DevOps Trainers…

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dataopsschool January 17, 2026 0

Mastering Grafana: A Practical Guide to Better Data Insights

Introduction Most teams today collect large volumes of metrics, logs, and events, yet still lack clear visibility into how their systems truly behave in production. Dashboards are often inconsistent, difficult…

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dataopsschool January 16, 2026 0

Gradle Course in Pune for Practical Build Automation Skills

Introduction If you write Java, Kotlin, Android, or JVM-based services, your build tool quietly decides how fast you ship and how stable your releases feel. Gradle sits at the center…

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dataopsschool January 16, 2026 0

Gradle Training Pune: Practical Build Automation for Real Projects

Introduction Build failures, slow pipelines, and confusing dependency issues are common in real software teams. You may have strong coding skills, but if your build system is unreliable, delivery becomes…

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dataopsschool January 16, 2026 0

Gradle Training in Bangalore: Practical Build Automation Skills for Real Projects

Introduction If you write code for a living, you already know the pain: builds that behave differently on each laptop, dependencies that break without warning, and release pipelines that fail…

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dataopsschool January 16, 2026 0

GitLab Course Guide for Real-World CI/CD and Team Workflows

Introduction Many teams today ship code faster than ever, but they also face more pressure: shorter release cycles, higher quality expectations, and stronger security needs. In that environment, gitlab becomes…

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dataopsschool January 16, 2026 0

github Training Course (GitHub Trainer) — Practical Skills for Real Team Work

Introduction Most teams do not struggle because they lack talent. They struggle because their work is not organized, not reviewable, and not repeatable. Code changes get lost in chat messages,…

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Recent Posts

  • About DataOps Certified Professional (DOCP)
  • Top 10 DataOps Tools in 2025
  • Databricks Lab & Excercise
  • Databricks: User Management in Databricks
  • Databricks: Databricks Secret Management & Secret Scopes
  • Databricks: Truncate-and-Load as a streaming source, Full Refresh of a DLT pipeline, Workflow file-arrival triggers
  • Databricks: hands-on tutorial for DLT Data Quality & Expectations
  • Databricks: DLT SCD2 & SCD1 table | Apply Changes | CDC | Back-loading SCD2 | Delete/Truncate SCD
  • Databricks: DLT Append Flow (Union) & Auto Loader
  • Databricks: Delta Live Tables (DLT) Internals & Incremental Load
  • Databricks: DLT Introduction
  • Databricks: Medallion Architecture in Data Lakehouse
  • Databricks: Databricks Auto Loader Tutorial
  • Databricks: Databricks COPY INTO Command – Idempotent & Exactly-Once Data Loading
  • Databricks: Databricks Workflows (Jobs, Tasks, Passing Values, If/Else, Re-runs, and Loops)
  • Databricks: Custom Cluster Policies & Instance Pools in Databricks
  • Databricks: Databricks Compute (Clusters, Access Modes, Policies, and Permissions)
  • Orchestrating and Scheduling Notebooks in Databricks
  • Databricks: Databricks Utilities (dbutils) – Complete Guide
  • Databricks: Using Volumes in Databricks with Unity Catalog
  • Databricks: Delta Tables – Deletion Vectors & Liquid Clustering
  • Databricks: Delta Tables MERGE & UPSERT (SCD1 + Soft Deletes)
  • Databricks: Delta Tables, Catalogs, Views, and Clones
  • Databricks – Catalog, Schemas & Tables with External Location
  • Databricks Lab – Managed vs External Tables + UNDROP (with External Location setup)
  • Databricks Lab – Working with Schemas and External Locations
  • Databricks Lab – Catalog with External Location, & Storage Credentials in Unity Catalog
  • Databricks Lab – Create an Azure Databricks workspace
  • Databricks: Unity Catalog vs Catalogs vs Workspace vs Metastore
  • Databricks Components
  • Databricks: Service Principal in Databricks using Azure?
  • Databricks: What is Databricks workspace?
  • Databricks: Set Up Metastore & Map Azure Storage Account with Access Connector, Enable Unity Catalog
  • Databricks: Step-by-Step Commands: Managed vs. External Table in Databricks
  • Databricks: File Storage Options on Databricks
  • Databricks: Working with Different Types of Tables
  • Databricks: dbutils is a utility library
  • Databricks: Unity Catalog
  • Databricks Account Console
  • Databricks Lab & Excercise – Notebook – Unity Catalog → schema → table

Popular Tutorials

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  • Data Orchestration in DevSecOps: A Comprehensive Tutorial
  • Data Lineage in DevSecOps: A Comprehensive Tutorial
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Recent Posts

  • Jaeger Training: Build Essential Observability Skills
  • Mastering Jacoco for Professional Java Development
  • Mastering DevOps & Different Tools for Real-World Success
  • DevOps Trainers and Consultants: A Professional Guide to Mastering Automation
  • Mastering Grafana: A Practical Guide to Better Data Insights

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