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December 8, 2025

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Month: August 2025

Rajesh Kumar August 9, 2025 0

Databricks Data Engineer Professional – Recommended Study Order

Got it — I’ll arrange these topics into a logical learning order so you build knowledge step-by-step, starting from fundamentals and moving toward advanced Databricks optimization topics. Databricks Data Engineer…

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priteshgeek August 8, 2025 0

Schema Evolution in DataOps: A Comprehensive Tutorial

Introduction & Overview Schema evolution is a critical concept in DataOps, enabling data systems to adapt to changing requirements while maintaining integrity and compatibility. This tutorial provides an in-depth exploration…

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priteshgeek August 8, 2025 0

Comprehensive Tutorial on Data Masking in DataOps

Introduction & Overview Data masking is a critical technique in modern data management, ensuring sensitive data is protected while maintaining its utility for development, testing, and analytics. In the context…

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priteshgeek August 8, 2025 0

Tokenization in DataOps: A Comprehensive Tutorial

Introduction & Overview What is Tokenization? Tokenization is the process of replacing sensitive data elements, such as credit card numbers or personal identifiers, with non-sensitive equivalents called tokens. These tokens…

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priteshgeek August 8, 2025 0

Comprehensive Tutorial on Anonymization in DataOps

Introduction & Overview Data anonymization is a critical practice in DataOps, ensuring sensitive data is protected while maintaining its utility for analysis and development. This tutorial provides an in-depth exploration…

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priteshgeek August 8, 2025 0

Comprehensive Tutorial on Normalization in DataOps

Introduction & Overview Normalization in DataOps is a critical process for structuring data to ensure consistency, efficiency, and reliability in data pipelines. It plays a pivotal role in enabling organizations…

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priteshgeek August 8, 2025 0

Comprehensive Tutorial on Data Cleansing in DataOps

Introduction & Overview Data cleansing, also known as data cleaning or data scrubbing, is a critical process in DataOps that ensures data quality by identifying and correcting errors, inconsistencies, and…

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priteshgeek August 8, 2025 0

Comprehensive Tutorial on Data Aggregation in DataOps

Introduction & Overview Data aggregation is a cornerstone of modern data management, particularly within the DataOps framework, which emphasizes agility, collaboration, and automation in data workflows. This tutorial provides an…

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priteshgeek August 8, 2025 0

Comprehensive Tutorial on Data Enrichment in DataOps

Introduction & Overview Data enrichment is a pivotal process in DataOps, enhancing raw data with additional context to make it more valuable for analytics, decision-making, and operational efficiency. In the…

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priteshgeek August 8, 2025 0

Comprehensive Tutorial on Data Transformation in DataOps

Introduction & Overview Data transformation is a cornerstone of DataOps, enabling organizations to convert raw data into actionable insights. This tutorial provides an in-depth exploration of data transformation within the…

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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

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