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Data Science and Data Engineering Bootcamp

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Data Science and Data Engineering Bootcamp (Size: 2.2 GB)
  1 - Introduction to Data Observability.mp4 10.3 MB
  1 - What is Data Lineage.mp4 6.8 MB
  1 - What is Data Quality.mp4 17.6 MB
  1 - What is Data Reliability.mp4 21.7 MB
  1 - What is a Data Warehouse.mp4 7.5 MB
  10 - Advanced Features of Data Lineage.mp4 26.1 MB
  10 - Data Accuracy.mp4 40.2 MB
  10 - Data Integrity vs. Data Quality.mp4 11.4 MB
  10 - Industry Use Cases.mp4 5.9 MB
  11 - Coarse-Grained vs. Fine-Grained Data Lineage.mp4 8.2 MB
  11 - Data Availability.mp4 25.5 MB
  11 - Data Profiling.mp4 70.9 MB
  11 - Data Quality vs. Data Observability.mp4 10.9 MB
  12 - Data Downtime.mp4 43.9 MB
  12 - Data Integrity.mp4 24.3 MB
  12 - Data Lineage Methods & Techniques.mp4 9.9 MB
  12 - Data Monitoring vs. Data Observability.mp4 11.4 MB
  13 - Data Governance and Data Observability.mp4 14.4 MB
  13 - Data Quality Metrics.mp4 19.9 MB
  13 - Data Usability.mp4 18.5 MB
  14 - Data Completeness.mp4 13.8 MB
  14 - Data Freshness.mp4 11 MB
  14 - Signs Your Organization Needs a Data Observability Platform.mp4 4.7 MB
  15 - Activities Needed for Data Observability.mp4 8.9 MB
  15 - Data Uniqueness.mp4 17.2 MB
  15 - Root Cause Analysis for Data Quality.mp4 25.2 MB
  16 - Data Validity.mp4 14.1 MB
  16 - Ensuring Data Quality in your ETL Pipelines.mp4 66.2 MB
  17 - Data Durability.mp4 23 MB
  17 - Data Quality Frameworks.mp4 30.1 MB
  18 - Data Scalability.mp4 30.8 MB
  18 - How to Improve Data Quality.mp4 3.8 MB
  19 - Data Quality Checks.mp4 67.1 MB
  19 - Data Resilience.mp4 30.4 MB
  2 - Causes of Unreliable Data.mp4 14 MB
  2 - Data Quality Dimensions.mp4 40.8 MB
  2 - History of Data Warehouse.mp4 6.9 MB
  2 - The Evolution of Data Observability.mp4 29.1 MB
  2 - Why is Data Lineage Important.mp4 24.2 MB
  20 - Characteristics of Good Data Quality.mp4 58.7 MB
  20 - Root Cause Analysis for Data Quality.mp4 26.6 MB
  21 - An Introduction to Data Reliability Engineering.mp4 55.9 MB
  21 - Data Quality vs Reliability.mp4 16.2 MB
  22 - Automating Data Quality for Modern Architecture.mp4 61.8 MB
  22 - Introduction to Site Reliability Engineering.mp4 27.3 MB
  23 - Crucial Elements of a Data Quality Framework.mp4 52.1 MB
  23 - Service Level Agreements (SLAs).mp4 32.1 MB
  24 - Data Incident Managers.mp4 36 MB
  24 - Data Service Level Agreements (Data SLAs).mp4 28.1 MB
  25 - Data Trust Score.mp4 25.9 MB
  25 - Service Level Objectives (SLOs).mp4 26.7 MB
  26 - Service Level Indicators (SLIs).mp4 36.3 MB
  27 - Error Budgets.mp4 37.1 MB
  28 - Error Rate.mp4 12.8 MB
  29 - Data Quality of Service (Data QoS).mp4 18.5 MB
  3 - Benefits of Data Reliability.mp4 19.3 MB
  3 - Importance of Data Quality.mp4 14.8 MB
  3 - The Anatomy of Data Lineage.mp4 21.5 MB
  3 - The Three-Tier Data Warehouse Architecture.mp4 25.2 MB
  3 - What is Data Observability.mp4 8.4 MB
  30 - Data Quality as a Service (Data QaaS).mp4 2.9 MB
  31 - Mean Time To Detection (MTTD).mp4 33.3 MB
  32 - Mean Time To RecoverRepair (MTTR).mp4 26.3 MB
  33 - Mean Time Between Failures (MTBF).mp4 31.9 MB
  34 - Mean Time to Failure (MTTF).mp4 23.9 MB
  35 - RAG Status.mp4 44.7 MB
  4 - Data Quality Best Practices.mp4 15.9 MB
  4 - Data Reliability Assessment.mp4 14.8 MB
  4 - The Pillars of Observability.mp4 39.3 MB
  4 - Types of Data Lineage.mp4 20.9 MB
  4 - Types of Data Warehouse Architectures.mp4 25.2 MB
  5 - Challenges While Implementing Data Lineage.mp4 8.3 MB
  5 - Data Observability Dimensions.mp4 50.8 MB
  5 - Data Quality Benefits.mp4 24.5 MB
  5 - Data Reliability Framework.mp4 19.3 MB
  6 - Benefits of Data Observability.mp4 41 MB
  6 - Data Reliability Engineering.mp4 17.7 MB
  6 - How to Create a Data Quality Strategy.mp4 23.8 MB
  6 - Use Cases and Applications of Data Lineage.mp4 30.7 MB
  7 - Challenges of Data Observability.mp4 15.2 MB
  7 - Data Relevancy and Irrelevancy.mp4 40 MB
  7 - Practical Examples of Data Lineage in Action.mp4 17.1 MB
  7 - What is Data Quality Monitoring.mp4 7.6 MB
  8 - Data FreshnessTimeliness.mp4 12.7 MB
  8 - Hierarchy of Data Observability.mp4 21.6 MB
  8 - The Benefits of Data Lineage.mp4 23.9 MB
  8 - What is Data Quality Management.mp4 53.9 MB
  9 - Common Data Quality Issues and their Solutions.mp4 52.6 MB
  9 - Data Monitoring.mp4 29.1 MB
  9 - Data Observability Use Cases.mp4 10.1 MB
  9 - Key Components of Data Lineage.mp4 14.4 MB
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 93 total files

Description


Data Science and Data Engineering Bootcamp

https://WebToolTip.com

Published 11/2025
Created by Taimur Zahid
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 91 Lectures ( 6h 43m ) | Size: 2.24 GB

Deep-dive into Data Quality, Reliability, Architecture, Warehousing, Dimensional Modeling, and more!

What you'll learn
Understand the underlying principles and core concepts of working with data.
Take an in-depth and holistic look into the requirements of today’s data scientists and data engineers.
Understand the legal aspect of working with data like GDPR, CCPA, and more.
Understand the trade-offs of choosing different approaches when designing data architectures covering various use-cases.

Requirements
Some programming with Python and SQL will be beneficial for the users.

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