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137 results

Raja's Data Engineering
102. Databricks | Pyspark |Performance Optimization: Spark/Databricks Interview Question Series - II

Azure Databricks Learning: Performance Optimization: Spark/Databricks Interview Question Series - II ...

38:27
102. Databricks | Pyspark |Performance Optimization: Spark/Databricks Interview Question Series - II

13,637 views

2 years ago

freeCodeCamp.org
PySpark Tutorial

Learn PySpark, an interface for Apache Spark in Python. PySpark is often used for large-scale data processing and machine ...

1:49:02
PySpark Tutorial

1,642,614 views

4 years ago

SMAC Academy
Spark Catalyst Optimizer

Introduction to Catalyst Optimizer Purpose and logical architecture of Catalyst Optimizer Logical and Physical plan selection and ...

6:06
Spark Catalyst Optimizer

1,470 views

3 years ago

Databricks
Optimize the Large Scale Graph Applications by using Apache Spark with 4-5x Performance Improvements

Nowadays, Spark is widely adopted in the big enterprise by handling the large volume of data. In PayPal, more and more complex ...

26:05
Optimize the Large Scale Graph Applications by using Apache Spark with 4-5x Performance Improvements

533 views

5 years ago

Databricks
Care and Feeding of Catalyst Optimizer

You've seen the technical deep dives on Spark's Catalyst query optimizer. You understand how to fix joins, how to find common ...

41:35
Care and Feeding of Catalyst Optimizer

1,417 views

5 years ago

Databricks
From Query Plan to Performance: Supercharging your Apache Spark Queries using the Spark UI SQL Tab

The SQL tab in the Spark UI provides a lot of information for analysing your spark queries, ranging from the query plan, to all ...

1:02:35
From Query Plan to Performance: Supercharging your Apache Spark Queries using the Spark UI SQL Tab

18,093 views

5 years ago

Databricks
Optimizing Apache Spark UDFs

These are black boxes for Spark optimizer, blocking several helpful optimizations like WholeStageCodegen, Null optimization etc.

18:10
Optimizing Apache Spark UDFs

8,787 views

5 years ago

Databricks
Materialized Column: An Efficient Way to Optimize Queries on Nested Columns

Over the last year, we have added a series of optimizations in Apache Spark to solve the above problems for Parquet.

21:34
Materialized Column: An Efficient Way to Optimize Queries on Nested Columns

1,603 views

5 years ago

Databricks
Accelerating Data Processing in Spark SQL with Pandas UDFs

Spark SQL provides a convenient layer of abstraction for users to express their query's intent while letting Spark handle the more ...

27:26
Accelerating Data Processing in Spark SQL with Pandas UDFs

6,305 views

5 years ago

endjin
10x Spark performance improvement in Microsoft Fabric

Boosting Apache Spark Performance with Small JSON Files in Microsoft Fabric. Learn how to achieve a 10x performance ...

13:20
10x Spark performance improvement in Microsoft Fabric

1,365 views

1 year ago

virtbi projects
Data Engineer's PySpark Interview Handbook: Your Comprehensive Resource | Top 50 Questions & Answers

Learn about RDDs, DataFrames, optimization techniques, and more, with detailed explanations and practical examples tailored to ...

28:42
Data Engineer's PySpark Interview Handbook: Your Comprehensive Resource | Top 50 Questions & Answers

294 views

1 year ago

Databricks
Improving SparkSQL Performance by 30%: How We Optimize Parquet Pushdown and Parquet Reader

Over the last year, we've added a series of optimizations in Spark to improve parquet pushdown performance. We developed a ...

14:27
Improving SparkSQL Performance by 30%: How We Optimize Parquet Pushdown and Parquet Reader

3,325 views

5 years ago

Databricks
Adaptive Query Execution: Speeding Up Spark SQL at Runtime

Examples of these cost-based optimizations include choosing the right join type (broadcast-hash-join vs. sort-merge-join), ...

45:38
Adaptive Query Execution: Speeding Up Spark SQL at Runtime

9,495 views

5 years ago

Luca's Data Engineering
TPCDS PySpark demo

This is a video on how to get started with TPCDS_PySpark ...

11:22
TPCDS PySpark demo

388 views

1 year ago

Databricks
Optimising Geospatial Queries with Dynamic File Pruning

One of the most significant benefits provided by Databricks Delta is the ability to use z-ordering and dynamic file pruning to ...

24:59
Optimising Geospatial Queries with Dynamic File Pruning

1,018 views

5 years ago

Databricks
Common Strategies for Improving Performance on Your Delta Lakehouse

The Delta Architecture pattern has made the lives of data engineers much simpler, but what about improving query performance ...

30:43
Common Strategies for Improving Performance on Your Delta Lakehouse

8,881 views

5 years ago

Databricks
Delta Lake: Optimizing Merge

This talk will break down merge in Delta Lake—what is actually happening under the hood—and then explain about how you can ...

23:33
Delta Lake: Optimizing Merge

16,076 views

5 years ago

Rob Mulla
Make Your Pandas Code Lightning Fast

Speed up slow pandas/python code by 2500x using this simple trick. Face it, your pandas code is slow. Learn how to speed it up!

10:38
Make Your Pandas Code Lightning Fast

200,107 views

3 years ago

ByteByteGo
What is Data Pipeline? | Why Is It So Popular?

Get a Free System Design PDF with 158 pages by subscribing to our weekly newsletter: https://bit.ly/bytebytegoytTopic Animation ...

5:25
What is Data Pipeline? | Why Is It So Popular?

414,840 views

1 year ago

Databricks
Scale and Optimize Data Engineering Pipelines with Best Practices: Modularity and Automated Testing

In rapidly changing conditions, many companies build ETL pipelines using ad-hoc strategy. Such an approach makes automated ...

26:42
Scale and Optimize Data Engineering Pipelines with Best Practices: Modularity and Automated Testing

6,703 views

5 years ago