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Скачать или смотреть Delta Table vs Delta Live Table || PySpark with DataBricks Interview Questions and Answers Series

  • Analytics Studio
  • 2025-01-09
  • 732
Delta Table vs Delta Live Table || PySpark with DataBricks Interview Questions and Answers Series
DeltaTableDeltaLiveTableDatabricksDataEngineeringBigDataDataPipelinesDataManagementACIDTransactionsDataQualityStreamingDataDataLineageBatchProcessingDataAutomationDeltaLakeRealTimeProcessingDataStorageDataTransformationDatabricksTutorialPySparkDataEngineeringWithPySparkApacheSparkSparkSQLDataStreamingRealTimeDataProcessingBatchAndStreamingSparkETLDataAnalyticsDatabricksDeltaTableDeltaLiveTableInPySparkDataPipelineAutomationACIDComplianceTimeTravelWithDeltaTable
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Описание к видео Delta Table vs Delta Live Table || PySpark with DataBricks Interview Questions and Answers Series

🎥 Video Description: Delta Table vs Delta Live Table in Databricks | Complete Guide

🚀 Welcome to our comprehensive guide on Delta Table and Delta Live Table (DLT) in Databricks! Whether you're a beginner or an experienced data engineer, this video covers everything you need to know about these technologies and how to use them effectively in your data workflows.

🔑 Chapters Overview:
1️⃣ What is a Delta Table?
🌟 Discover the power of Delta Tables as a storage layer that supports ACID transactions, schema enforcement, and time travel for data management.

2️⃣ Delta Table Example
💻 Watch a practical example on how to write to and read from a Delta Table using PySpark, with step-by-step code explanations.

3️⃣ Delta Table Use Cases
📊 Explore real-world scenarios where Delta Table shines, including incremental data updates, batch processing, and analytics workflows.

4️⃣ What is a Delta Live Table (DLT)?
🛠️ Learn about Delta Live Table as a declarative framework that automates data pipeline creation, quality enforcement, and monitoring.

5️⃣ Delta Live Table Example
✍️ See how to define a DLT pipeline using SQL or Python, complete with automated data quality checks via "Expectations."

6️⃣ Delta Live Table Use Cases
🔄 Discover the top use cases of DLT, such as real-time streaming pipelines, automated ETL workflows, and collaborative data engineering.

7️⃣ Key Differences
⚖️ A detailed comparison of Delta Table vs DLT, focusing on:
Purpose
Data Management
Pipeline Monitoring
Flexibility

8️⃣ Delta Table: Advantages and Limitations
✅ Learn why Delta Tables are ideal for fine-grained control and custom transformations but require more manual effort for monitoring and quality enforcement.

9️⃣ Delta Live Table: Advantages and Limitations
🌐 Explore how DLT simplifies pipeline creation, enforces data quality, and tracks lineage, but might lack flexibility for low-level operations.

🔟 Scenarios and Recommendations
🧐 Understand when to use Delta Table or DLT based on real-world scenarios:
Automating data quality checks in healthcare 🏥
Incremental updates in financial workflows 💵
Real-time pipelines for e-commerce 🛒
Integrating with external tools like Presto 🔌

1️⃣1️⃣ Conclusion
✨ Recap the key takeaways:
Use Delta Table for customized, low-level control.
Use Delta Live Table for automated, production-grade pipelines.

💡 Who is this video for?
✔️ Data Engineers exploring Databricks Delta Lake.
✔️ Analysts and Developers building ETL pipelines.
✔️ Teams seeking better data quality enforcement and lineage tracking.

Chapter Timecodes-
00:00 - Intro
00:30 - What is a Delta Table?
03:10 - Delta Table example.
05:02 - Delta Table Use Cases
10:29 - What is a Delta Live Table (DLT)?
11:03 - Delta Live Table example.
12:06 - Delta Live Table Use Cases
16:25 - Key Differences
20:26 - Delta Table: Advantages and Limitations
20:58 - Delta Live Table: Advantages and Limitations
21:31 - Scenarios and Recommendations
25:00 - Conclusion

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