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种子名称： [LinkedIn Learning] Master Data Engineering - Complete 7 Courses
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文件数目： 241个文件
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[LinkedIn Learning] Master Data Engineering - Complete 7 Courses.torrent

5. Python for Data Engineering from Beginner to Advanced/8 - Capstone Project/2. Solution Capstone project.mp438.69MB

1. Apache Kafka Essential Training Building Scalable Applications/0 - Introduction/1. Building robust Kafka applications.mp43.43MB

1. Apache Kafka Essential Training Building Scalable Applications/1 - Introduction to Kafka/1. What is Kafka.mp42.6MB

1. Apache Kafka Essential Training Building Scalable Applications/1 - Introduction to Kafka/2. Prerequisites for the course.mp41.76MB

1. Apache Kafka Essential Training Building Scalable Applications/1 - Introduction to Kafka/3. Kafka scaling and resiliency.mp42.52MB

1. Apache Kafka Essential Training Building Scalable Applications/1 - Introduction to Kafka/4. Setting up the exercise files.mp43.26MB

1. Apache Kafka Essential Training Building Scalable Applications/2 - Kafka Scaling Concepts/1. A Kafka cluster.mp43.15MB

1. Apache Kafka Essential Training Building Scalable Applications/2 - Kafka Scaling Concepts/2. Kafka controllers.mp42.68MB

1. Apache Kafka Essential Training Building Scalable Applications/2 - Kafka Scaling Concepts/3. Replication.mp44.34MB

1. Apache Kafka Essential Training Building Scalable Applications/2 - Kafka Scaling Concepts/4. Partition leaders.mp45.03MB

1. Apache Kafka Essential Training Building Scalable Applications/2 - Kafka Scaling Concepts/5. Security.mp42.13MB

1. Apache Kafka Essential Training Building Scalable Applications/3 - Building a Kafka Cluster/1. Kafka cluster setup.mp49.09MB

1. Apache Kafka Essential Training Building Scalable Applications/3 - Building a Kafka Cluster/2. Running the cluster.mp44.31MB

1. Apache Kafka Essential Training Building Scalable Applications/3 - Building a Kafka Cluster/3. Creating topics with replication.mp44.76MB

1. Apache Kafka Essential Training Building Scalable Applications/3 - Building a Kafka Cluster/4. Kafka clusters in action.mp48.99MB

1. Apache Kafka Essential Training Building Scalable Applications/3 - Building a Kafka Cluster/5. Kafka resiliency in action.mp49.49MB

1. Apache Kafka Essential Training Building Scalable Applications/4 - Building Scalable Producers/1. Producer internals.mp43.35MB

1. Apache Kafka Essential Training Building Scalable Applications/4 - Building Scalable Producers/2. Producer publishing options.mp44.57MB

1. Apache Kafka Essential Training Building Scalable Applications/4 - Building Scalable Producers/3. Acknowledgments in Kafka.mp43.37MB

1. Apache Kafka Essential Training Building Scalable Applications/4 - Building Scalable Producers/4. Additional producer parameters.mp42.7MB

1. Apache Kafka Essential Training Building Scalable Applications/4 - Building Scalable Producers/5. Java producer options example.mp49.84MB

1. Apache Kafka Essential Training Building Scalable Applications/5 - Building Scalable Consumers/1. How consumer works.mp43.27MB

1. Apache Kafka Essential Training Building Scalable Applications/5 - Building Scalable Consumers/2. Batching message consumption.mp43.72MB

1. Apache Kafka Essential Training Building Scalable Applications/5 - Building Scalable Consumers/3. Committing messages.mp43.73MB

1. Apache Kafka Essential Training Building Scalable Applications/5 - Building Scalable Consumers/4. Java consumer example.mp47.38MB

1. Apache Kafka Essential Training Building Scalable Applications/5 - Building Scalable Consumers/5. Multi-threaded consumers.mp49.15MB

1. Apache Kafka Essential Training Building Scalable Applications/6 - Kafka Best Practices/1. Managing partition counts.mp43.47MB

1. Apache Kafka Essential Training Building Scalable Applications/6 - Kafka Best Practices/2. Managing messages.mp41.8MB

1. Apache Kafka Essential Training Building Scalable Applications/6 - Kafka Best Practices/3. Managing consumer settings.mp41.8MB

1. Apache Kafka Essential Training Building Scalable Applications/6 - Kafka Best Practices/4. Managing resiliency.mp41.94MB

1. Apache Kafka Essential Training Building Scalable Applications/7 - Use Case Project/1. Kafka applications use case Problem definition.mp42.11MB

1. Apache Kafka Essential Training Building Scalable Applications/7 - Use Case Project/2. Setting up topics.mp41.02MB

1. Apache Kafka Essential Training Building Scalable Applications/7 - Use Case Project/3. Producing data in Java.mp43.99MB

1. Apache Kafka Essential Training Building Scalable Applications/7 - Use Case Project/4. Consuming data in Java.mp44.35MB

1. Apache Kafka Essential Training Building Scalable Applications/8 - Conclusion/1. How do you extend your Kafka learning journey.mp41.05MB

2. Troubleshooting and Debugging Kafka/0 - Introduction/1. Overview of troubleshooting and debugging Kafka.mp46.28MB

2. Troubleshooting and Debugging Kafka/1 - Introducing Cloud-Native Kafka on Confluent/1. Prerequisites.mp41.33MB

2. Troubleshooting and Debugging Kafka/1 - Introducing Cloud-Native Kafka on Confluent/2. An overview of Apache Kafka.mp43.56MB

2. Troubleshooting and Debugging Kafka/1 - Introducing Cloud-Native Kafka on Confluent/3. The Confluent platform.mp48.69MB

2. Troubleshooting and Debugging Kafka/1 - Introducing Cloud-Native Kafka on Confluent/4. Downloading the Confluent platform binaries.mp410.01MB

2. Troubleshooting and Debugging Kafka/1 - Introducing Cloud-Native Kafka on Confluent/5. Running the Confluent platform locally.mp46.64MB

2. Troubleshooting and Debugging Kafka/1 - Introducing Cloud-Native Kafka on Confluent/6. Overview of the control center.mp413.05MB

2. Troubleshooting and Debugging Kafka/2 - Observing Consumers and Brokers/1. Observing message production and consumption.mp48.23MB

2. Troubleshooting and Debugging Kafka/2 - Observing Consumers and Brokers/2. Produce messages using the control center.mp47.96MB

2. Troubleshooting and Debugging Kafka/2 - Observing Consumers and Brokers/3. Using datagen to generate synthetic data.mp46.22MB

2. Troubleshooting and Debugging Kafka/2 - Observing Consumers and Brokers/4. Observing consumers.mp412.93MB

2. Troubleshooting and Debugging Kafka/3 - Processing Kafka Streams/1. Understanding ksqlDB.mp43.85MB

2. Troubleshooting and Debugging Kafka/3 - Processing Kafka Streams/2. Creating streams and tables using ksqlDB.mp413.14MB

2. Troubleshooting and Debugging Kafka/3 - Processing Kafka Streams/3. Performing join and windowing operations.mp49.43MB

2. Troubleshooting and Debugging Kafka/3 - Processing Kafka Streams/4. Viewing streams and tables.mp43.01MB

2. Troubleshooting and Debugging Kafka/4 - Monitoring Consumer Groups/1. Programmatically produce messages using Python.mp415.11MB

2. Troubleshooting and Debugging Kafka/4 - Monitoring Consumer Groups/2. Troubleshooting partition usage.mp411.82MB

2. Troubleshooting and Debugging Kafka/4 - Monitoring Consumer Groups/3. Consumer groups.mp43.42MB

2. Troubleshooting and Debugging Kafka/4 - Monitoring Consumer Groups/4. Monitoring consumption in a consumer group.mp411.01MB

2. Troubleshooting and Debugging Kafka/4 - Monitoring Consumer Groups/5. Debugging consumption lag.mp48.01MB

2. Troubleshooting and Debugging Kafka/4 - Monitoring Consumer Groups/6. Monitoring consumer group rebalancing.mp413.23MB

2. Troubleshooting and Debugging Kafka/5 - Monitoring Multi-Broker Clusters/1. Configuration properties for a multi-broker cluster.mp422.28MB

2. Troubleshooting and Debugging Kafka/5 - Monitoring Multi-Broker Clusters/2. Running a multi-broker cluster on the Confluent platform.mp412.56MB

2. Troubleshooting and Debugging Kafka/5 - Monitoring Multi-Broker Clusters/3. Monitoring brokers.mp43.73MB

2. Troubleshooting and Debugging Kafka/5 - Monitoring Multi-Broker Clusters/4. Observing partitions and replication.mp44.64MB

2. Troubleshooting and Debugging Kafka/5 - Monitoring Multi-Broker Clusters/5. Monitoring broker throughput and latency.mp413.3MB

2. Troubleshooting and Debugging Kafka/6 - Debugging Brokers and Consumers/1. Debugging failed brokers, part 1.mp412.04MB

2. Troubleshooting and Debugging Kafka/6 - Debugging Brokers and Consumers/2. Debugging failed brokers, part 2.mp410.4MB

2. Troubleshooting and Debugging Kafka/6 - Debugging Brokers and Consumers/3. Debugging slow consumers.mp47.15MB

2. Troubleshooting and Debugging Kafka/7 - Configuring Alerts/1. Configuring alerts.mp48.55MB

2. Troubleshooting and Debugging Kafka/7 - Configuring Alerts/2. Configuring email settings for alerts.mp414.58MB

2. Troubleshooting and Debugging Kafka/8 - Conclusion/1. Summary and next steps.mp43.35MB

3. Tuning Kafka OneHack.us/0 - Introduction/1. Tuning Kafka.mp45.18MB

3. Tuning Kafka OneHack.us/1 - Introducing Kafka Tuning/1. Prerequisites.mp41.51MB

3. Tuning Kafka OneHack.us/1 - Introducing Kafka Tuning/2. An overview of Kafka.mp49.35MB

3. Tuning Kafka OneHack.us/1 - Introducing Kafka Tuning/3. Producers and consumers.mp46.03MB

3. Tuning Kafka OneHack.us/1 - Introducing Kafka Tuning/4. Kafka optimization theorem.mp49.92MB

3. Tuning Kafka OneHack.us/1 - Introducing Kafka Tuning/5. End-to-end latency in Kafka.mp43.8MB

3. Tuning Kafka OneHack.us/1 - Introducing Kafka Tuning/6. Install and set up Apache Kafka.mp48.04MB

3. Tuning Kafka OneHack.us/1 - Introducing Kafka Tuning/7. Publish and consume messages using console scripts.mp43.77MB

3. Tuning Kafka OneHack.us/2 - Tuning Kafka Producers/1. Running a Kafka cluster with three brokers.mp416.59MB

3. Tuning Kafka OneHack.us/2 - Tuning Kafka Producers/2. Running basic producer performance tests.mp415.57MB

3. Tuning Kafka OneHack.us/2 - Tuning Kafka Producers/3. Effects of partitioning on producers.mp413.5MB

3. Tuning Kafka OneHack.us/2 - Tuning Kafka Producers/4. Effects of replication on producers.mp48.87MB

3. Tuning Kafka OneHack.us/2 - Tuning Kafka Producers/5. Tuning producer acks.mp413.14MB

3. Tuning Kafka OneHack.us/2 - Tuning Kafka Producers/6. Tuning producer compression.mp414.55MB

3. Tuning Kafka OneHack.us/2 - Tuning Kafka Producers/7. Tuning batch size and linger time.mp49.66MB

3. Tuning Kafka OneHack.us/2 - Tuning Kafka Producers/8. Effect of message size and record count.mp415.31MB

3. Tuning Kafka OneHack.us/3 - Tuning Kafka Consumers/1. Running a basic consumer performance test.mp411.42MB

3. Tuning Kafka OneHack.us/3 - Tuning Kafka Consumers/2. Tuning fetch bytes and wait time for consumers.mp414.53MB

3. Tuning Kafka OneHack.us/3 - Tuning Kafka Consumers/3. Tuning session timeout and heartbeat interval.mp47.79MB

3. Tuning Kafka OneHack.us/3 - Tuning Kafka Consumers/4. Tuning max poll interval and max poll records.mp49.71MB

3. Tuning Kafka OneHack.us/4 - Tuning Kafka Brokers/1. End-to-end latency with replication.mp415.22MB

3. Tuning Kafka OneHack.us/4 - Tuning Kafka Brokers/2. Tuning throughput.mp415.68MB

3. Tuning Kafka OneHack.us/4 - Tuning Kafka Brokers/3. Tuning log retention.mp410.51MB

3. Tuning Kafka OneHack.us/5 - Performance Testing with Python/1. Producer performance testing using Python.mp48.78MB

3. Tuning Kafka OneHack.us/5 - Performance Testing with Python/2. Consumer perf testing using Python.mp46.49MB

3. Tuning Kafka OneHack.us/6 - Conclusion/1. Summary and next steps.mp41.31MB

4. Architecting Big Data Applications Batch Mode Application Engineering/0 - Introduction/1. Architecting big data applications.mp41.94MB

4. Architecting Big Data Applications Batch Mode Application Engineering/1 - Introduction to Big Data Applications/1. Characteristics of batch processing.mp42.94MB

4. Architecting Big Data Applications Batch Mode Application Engineering/1 - Introduction to Big Data Applications/2. Challenges building batch applications.mp41.81MB

4. Architecting Big Data Applications Batch Mode Application Engineering/1 - Introduction to Big Data Applications/3. Technologies for batch big data engineering.mp43.42MB

4. Architecting Big Data Applications Batch Mode Application Engineering/1 - Introduction to Big Data Applications/4. Use cases for batch big data.mp43.34MB

4. Architecting Big Data Applications Batch Mode Application Engineering/1 - Introduction to Big Data Applications/5. Architecture process for data engineering.mp44.04MB

4. Architecting Big Data Applications Batch Mode Application Engineering/2 - Big Data Architecture Principles/1. Making the choice Real-time vs. batch.mp46.36MB

4. Architecting Big Data Applications Batch Mode Application Engineering/2 - Big Data Architecture Principles/2. Horizontal scaling.mp46.6MB

4. Architecting Big Data Applications Batch Mode Application Engineering/2 - Big Data Architecture Principles/3. Distributed processing.mp43.48MB

4. Architecting Big Data Applications Batch Mode Application Engineering/2 - Big Data Architecture Principles/4. Technology selection.mp46.45MB

4. Architecting Big Data Applications Batch Mode Application Engineering/2 - Big Data Architecture Principles/5. Technology integrations.mp43.64MB

4. Architecting Big Data Applications Batch Mode Application Engineering/3 - Batch Application Architecture Principles/1. Schedule selection.mp44.43MB

4. Architecting Big Data Applications Batch Mode Application Engineering/3 - Batch Application Architecture Principles/2. Minimizing data volumes.mp44.42MB

4. Architecting Big Data Applications Batch Mode Application Engineering/3 - Batch Application Architecture Principles/3. Uniform load distribution.mp46.13MB

4. Architecting Big Data Applications Batch Mode Application Engineering/3 - Batch Application Architecture Principles/4. Using caches.mp43.06MB

4. Architecting Big Data Applications Batch Mode Application Engineering/3 - Batch Application Architecture Principles/5. Reprocessing.mp43.61MB

4. Architecting Big Data Applications Batch Mode Application Engineering/4 - Use Case 1 Audit Trail Data Archive/1. Audit trail Define the problem.mp44.64MB

4. Architecting Big Data Applications Batch Mode Application Engineering/4 - Use Case 1 Audit Trail Data Archive/2. Audit trail Study requirements.mp44.93MB

4. Architecting Big Data Applications Batch Mode Application Engineering/4 - Use Case 1 Audit Trail Data Archive/3. Audit trail Create a workflow.mp42.75MB

4. Architecting Big Data Applications Batch Mode Application Engineering/4 - Use Case 1 Audit Trail Data Archive/4. Audit trail Scale the workflow.mp43.73MB

4. Architecting Big Data Applications Batch Mode Application Engineering/4 - Use Case 1 Audit Trail Data Archive/5. Audit trail Select technologies.mp46.91MB

4. Architecting Big Data Applications Batch Mode Application Engineering/4 - Use Case 1 Audit Trail Data Archive/6. Audit trail Review final architecture.mp43.07MB

4. Architecting Big Data Applications Batch Mode Application Engineering/5 - Use Case 2 Advertising Analytics/1. Advertising analytics Define the problem.mp44.29MB

4. Architecting Big Data Applications Batch Mode Application Engineering/5 - Use Case 2 Advertising Analytics/2. Advertising analytics Study requirements.mp44.81MB

4. Architecting Big Data Applications Batch Mode Application Engineering/5 - Use Case 2 Advertising Analytics/3. Advertising analytics Create a workflow.mp42.86MB

4. Architecting Big Data Applications Batch Mode Application Engineering/5 - Use Case 2 Advertising Analytics/4. Advertising analytics Scale the workflow.mp44.55MB

4. Architecting Big Data Applications Batch Mode Application Engineering/5 - Use Case 2 Advertising Analytics/5. Advertising analytics Select technologies.mp47.33MB

4. Architecting Big Data Applications Batch Mode Application Engineering/5 - Use Case 2 Advertising Analytics/6. Advertising analytics Review final architecture.mp42.24MB

4. Architecting Big Data Applications Batch Mode Application Engineering/6 - Use Case 3 Product Recommendations/1. Product recommendations Define the problem.mp43.32MB

4. Architecting Big Data Applications Batch Mode Application Engineering/6 - Use Case 3 Product Recommendations/2. Product recommendations Study requirements.mp44.64MB

4. Architecting Big Data Applications Batch Mode Application Engineering/6 - Use Case 3 Product Recommendations/3. Product recommendations Create a workflow.mp42.13MB

4. Architecting Big Data Applications Batch Mode Application Engineering/6 - Use Case 3 Product Recommendations/4. Product recommendations Scale the workflow.mp44.7MB

4. Architecting Big Data Applications Batch Mode Application Engineering/6 - Use Case 3 Product Recommendations/5. Product recommendations Select technologies.mp46.26MB

4. Architecting Big Data Applications Batch Mode Application Engineering/6 - Use Case 3 Product Recommendations/6. Product recommendations Review the final architecture.mp42.46MB

4. Architecting Big Data Applications Batch Mode Application Engineering/7 - Conclusion/1. Continuing to architect big data applications.mp41.83MB

5. Python for Data Engineering from Beginner to Advanced/0 - Introduction/1. Welcome to the course.mp41.18MB

5. Python for Data Engineering from Beginner to Advanced/0 - Introduction/2. What you should know.mp41.75MB

5. Python for Data Engineering from Beginner to Advanced/0 - Introduction/3. CoderPad tour.mp43.59MB

5. Python for Data Engineering from Beginner to Advanced/1 - Python Basics/1. Introduction to Python and data engineering.mp45.39MB

5. Python for Data Engineering from Beginner to Advanced/1 - Python Basics/2. Setting up your Python environment.mp45.1MB

5. Python for Data Engineering from Beginner to Advanced/1 - Python Basics/3. Explore a Google Colab worksheet.mp47.49MB

5. Python for Data Engineering from Beginner to Advanced/1 - Python Basics/4. Variables and data types.mp48.29MB

5. Python for Data Engineering from Beginner to Advanced/1 - Python Basics/5. Operators and expressions.mp411.49MB

5. Python for Data Engineering from Beginner to Advanced/1 - Python Basics/6. Control structures.mp49.79MB

5. Python for Data Engineering from Beginner to Advanced/1 - Python Basics/7. Functions.mp410.58MB

5. Python for Data Engineering from Beginner to Advanced/1 - Python Basics/8. Modules and packages.mp49.03MB

5. Python for Data Engineering from Beginner to Advanced/1 - Python Basics/9. String manipulation.mp413.84MB

5. Python for Data Engineering from Beginner to Advanced/1 - Python Basics/10. Error handling.mp49.39MB

5. Python for Data Engineering from Beginner to Advanced/1 - Python Basics/11. Solution String Manipulation.mp42.33MB

5. Python for Data Engineering from Beginner to Advanced/2 - Python Collections/1. Collection overview.mp43.78MB

5. Python for Data Engineering from Beginner to Advanced/2 - Python Collections/2. Python collections Tuples.mp410MB

5. Python for Data Engineering from Beginner to Advanced/2 - Python Collections/3. Python collections Lists.mp410.07MB

5. Python for Data Engineering from Beginner to Advanced/2 - Python Collections/4. Python collections Sets.mp48.32MB

5. Python for Data Engineering from Beginner to Advanced/2 - Python Collections/5. Python collections Dictionaries.mp414.1MB

5. Python for Data Engineering from Beginner to Advanced/2 - Python Collections/6. Solution Analyze list.mp41.77MB

5. Python for Data Engineering from Beginner to Advanced/3 - Python File Handling/1. File IO overview.mp44.48MB

5. Python for Data Engineering from Beginner to Advanced/3 - Python File Handling/2. Working with CSV files.mp414.62MB

5. Python for Data Engineering from Beginner to Advanced/3 - Python File Handling/3. Working with JSON files.mp49.71MB

5. Python for Data Engineering from Beginner to Advanced/3 - Python File Handling/4. Solution ReadWrite text to file.mp44.5MB

5. Python for Data Engineering from Beginner to Advanced/4 - pandas DataFrame API/1. Introduction to pandas.mp46MB

5. Python for Data Engineering from Beginner to Advanced/4 - pandas DataFrame API/2. Read files as DataFrames.mp413.38MB

5. Python for Data Engineering from Beginner to Advanced/4 - pandas DataFrame API/3. Data cleaning and preprocessing.mp417.84MB

5. Python for Data Engineering from Beginner to Advanced/4 - pandas DataFrame API/4. Data manipulation and aggregation.mp412.65MB

5. Python for Data Engineering from Beginner to Advanced/4 - pandas DataFrame API/5. Data visualization.mp411.67MB

5. Python for Data Engineering from Beginner to Advanced/4 - pandas DataFrame API/6. Write DataFrames as files.mp48.99MB

5. Python for Data Engineering from Beginner to Advanced/4 - pandas DataFrame API/7. Solution Play with pandas.mp42.81MB

5. Python for Data Engineering from Beginner to Advanced/5 - NumPy/1. Introduction to NumPy.mp46.1MB

5. Python for Data Engineering from Beginner to Advanced/5 - NumPy/2. Array creation and attributes.mp411MB

5. Python for Data Engineering from Beginner to Advanced/5 - NumPy/3. Array operations.mp411.69MB

5. Python for Data Engineering from Beginner to Advanced/5 - NumPy/4. Indexing and slicing.mp413.73MB

5. Python for Data Engineering from Beginner to Advanced/5 - NumPy/5. Linear algebra and statistics.mp49.52MB

5. Python for Data Engineering from Beginner to Advanced/5 - NumPy/6. Write DataFrames as files.mp48.35MB

5. Python for Data Engineering from Beginner to Advanced/5 - NumPy/7. Solution NumPy Array Operation.mp42.74MB

5. Python for Data Engineering from Beginner to Advanced/6 - OOP with Python/1. Understanding classes and objects.mp43.25MB

5. Python for Data Engineering from Beginner to Advanced/6 - OOP with Python/2. Implementation Classes and objects in Python.mp47.21MB

5. Python for Data Engineering from Beginner to Advanced/6 - OOP with Python/3. Understand OOP features Abstraction, inheritance, and more.mp44.51MB

5. Python for Data Engineering from Beginner to Advanced/6 - OOP with Python/4. Solution Accessing Object attributes.mp44.83MB

5. Python for Data Engineering from Beginner to Advanced/7 - Advanced Data Engineering/1. Tips to write efficient Python code.mp44.82MB

5. Python for Data Engineering from Beginner to Advanced/7 - Advanced Data Engineering/2. What is ETL in the data engineering world.mp45.02MB

5. Python for Data Engineering from Beginner to Advanced/7 - Advanced Data Engineering/3. What is Hadoop.mp43.69MB

5. Python for Data Engineering from Beginner to Advanced/7 - Advanced Data Engineering/4. Understand PySpark for data engineering.mp45.18MB

5. Python for Data Engineering from Beginner to Advanced/7 - Advanced Data Engineering/5. Importance of visualization tools in DE.mp46.83MB

5. Python for Data Engineering from Beginner to Advanced/7 - Advanced Data Engineering/6. On-prem vs. cloud data engineering.mp44.42MB

5. Python for Data Engineering from Beginner to Advanced/8 - Capstone Project/1. Capstone project Retail sales analysis.mp45.06MB

5. Python for Data Engineering from Beginner to Advanced/9 - Conclusion/1. Next steps.mp41.27MB

6. Data Engineering dbt for SQL/0 - Introduction/1. Introduction.mp44.67MB

6. Data Engineering dbt for SQL/0 - Introduction/2. What you should know.mp42.53MB

6. Data Engineering dbt for SQL/0 - Introduction/3. Codespaces introduction.mp45.03MB

6. Data Engineering dbt for SQL/1 - SQL for Data Engineers/1. SQL as a data engineer.mp44.95MB

6. Data Engineering dbt for SQL/1 - SQL for Data Engineers/2. The modern data stack and SQL.mp45.79MB

6. Data Engineering dbt for SQL/1 - SQL for Data Engineers/3. Schema design.mp45.93MB

6. Data Engineering dbt for SQL/1 - SQL for Data Engineers/4. Challenge Schema design.mp43.24MB

6. Data Engineering dbt for SQL/1 - SQL for Data Engineers/5. Solution Schema design.mp44.69MB

6. Data Engineering dbt for SQL/2 - Modeling in SQL/1. Supply chain outage SQL spaghetti.mp48.22MB

6. Data Engineering dbt for SQL/2 - Modeling in SQL/2. Data build tool (dbt).mp44.2MB

6. Data Engineering dbt for SQL/2 - Modeling in SQL/3. Modeling in dbt.mp414.43MB

6. Data Engineering dbt for SQL/2 - Modeling in SQL/4. Running dbt.mp411.06MB

6. Data Engineering dbt for SQL/2 - Modeling in SQL/5. Challenge Modeling taxi data.mp43.12MB

6. Data Engineering dbt for SQL/2 - Modeling in SQL/6. Solution Modeling taxi data.mp46.17MB

6. Data Engineering dbt for SQL/3 - Table Materializations/1. Crypto cost Materializations.mp46.77MB

6. Data Engineering dbt for SQL/3 - Table Materializations/2. Materialization terminology.mp48.34MB

6. Data Engineering dbt for SQL/3 - Table Materializations/3. Incremental materializations.mp44.54MB

6. Data Engineering dbt for SQL/3 - Table Materializations/4. Challenge Materializations.mp43.98MB

6. Data Engineering dbt for SQL/3 - Table Materializations/5. Solution Materializations.mp48.24MB

6. Data Engineering dbt for SQL/4 - Common Table Expressions vs. Subqueries/1. Construction planning Query complexity.mp47.43MB

6. Data Engineering dbt for SQL/4 - Common Table Expressions vs. Subqueries/2. Common table expressions (CTEs) vs. subqueries.mp45.64MB

6. Data Engineering dbt for SQL/4 - Common Table Expressions vs. Subqueries/3. CTEs in dbt.mp44.8MB

6. Data Engineering dbt for SQL/4 - Common Table Expressions vs. Subqueries/4. Challenge Implementing CTEs.mp44.58MB

6. Data Engineering dbt for SQL/4 - Common Table Expressions vs. Subqueries/5. Solution Implementing CTEs.mp45.73MB

6. Data Engineering dbt for SQL/5 - Testing SQL with dbt/1. Advertising Testing SQL.mp46.4MB

6. Data Engineering dbt for SQL/5 - Testing SQL with dbt/2. Unit testing using dbt.mp410.4MB

6. Data Engineering dbt for SQL/5 - Testing SQL with dbt/3. Custom tests in dbt.mp49.88MB

6. Data Engineering dbt for SQL/5 - Testing SQL with dbt/4. Challenge Testing SQL.mp45.35MB

6. Data Engineering dbt for SQL/5 - Testing SQL with dbt/5. Solution Testing SQL.mp410.81MB

6. Data Engineering dbt for SQL/6 - Conclusion/1. Looking ahead.mp46.84MB

6. Data Engineering dbt for SQL/6 - Conclusion/2. Next steps.mp48.32MB

7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/0 - Introduction/1. Advanced Snowflake.mp46.16MB

7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/0 - Introduction/2. Snowflake architecture.mp47.82MB

7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/0 - Introduction/3. Getting set up with Snowflake.mp43.93MB

7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/1 - Table Structures in Snowflake/1. Micropartitioning and clustering.mp47.25MB

7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/1 - Table Structures in Snowflake/2. Types of tables in Snowflake.mp46.55MB

7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/1 - Table Structures in Snowflake/3. Creating permanent tables.mp47.79MB

7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/1 - Table Structures in Snowflake/4. Creating temporary tables.mp49.96MB

7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/1 - Table Structures in Snowflake/5. Creating transient tables.mp49.48MB

7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/1 - Table Structures in Snowflake/6. Configuring data retention time.mp44.49MB

7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/1 - Table Structures in Snowflake/7. Querying historical data.mp46.77MB

7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/1 - Table Structures in Snowflake/8. Dropping and restoring tables.mp43.81MB

7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/2 - Views in Snowflake/1. Non-materialized, materialized, and secure views.mp45.5MB

7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/2 - Views in Snowflake/2. Creating and populating tables.mp45.83MB

7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/2 - Views in Snowflake/3. Creating and querying views.mp46.04MB

7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/2 - Views in Snowflake/4. Recreating views.mp43.33MB

7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/2 - Views in Snowflake/5. Querying regular views and secure views.mp48.28MB

7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/2 - Views in Snowflake/6. Creating and querying materialized views.mp48.28MB

7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/3 - Optimizing Query Performance/1. Caching, clustering, and search optimization.mp48.92MB

7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/3 - Optimizing Query Performance/2. Loading data using COPY INTO.mp48.66MB

7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/3 - Optimizing Query Performance/3. Retrieval optimization using cached results.mp48.67MB

7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/3 - Optimizing Query Performance/4. Enabling clustering on tables.mp49.12MB

7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/3 - Optimizing Query Performance/5. Querying clustered tables.mp48.63MB

7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/3 - Optimizing Query Performance/6. Querying clustering information.mp45.53MB

7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/3 - Optimizing Query Performance/7. Running point lookup queries on search-optimized tables.mp411.21MB

7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/3 - Optimizing Query Performance/8. Clustering vs. search optimization.mp412.61MB

7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/4 - Working with Semi-structured Data/1. Loading and querying parquet data.mp412.2MB

7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/4 - Working with Semi-structured Data/2. Loading JSON data.mp416.22MB

7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/4 - Working with Semi-structured Data/3. Querying JSON data.mp410.19MB

7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/5 - Managing Users and Granting Privileges/1. Access control.mp46.97MB

7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/5 - Managing Users and Granting Privileges/2. Creating users and viewing grants.mp49.46MB

7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/5 - Managing Users and Granting Privileges/3. Granting privileges to roles.mp49.58MB

7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/6 - Conclusion/1. Summary and next steps.mp42.29MB