11:59
17 Volumes - Managed & External in Databricks | Volumes in Databricks Unity Catalog |Files in Volume
12:53
16 Delta Tables Liquid Clustering and Deletion Vectors | Optimize Delta Tables | Delta Clustering
14:10
15 Delta Tables MERGE and UPSERTS | SCD1 in Delta | Soft Delete with Incremental data using Merge
23:14
14 Delta Tables Deep & Shallow Clones | Temporary & Permanent Views | List Catalog, Schemas & Tables
10:43
13 Managed & External Tables in Unity Catalog vs Legacy Hive Metastore | UNDROP Tables in Databricks
11:35
12 Schemas with External Location in Unity Catalog | Managed Table data Location in Unity Catalog
14:54
11 Catalog, External Location & Storage Credentials in Unity Catalog |Catalog with External Location
08:44
10 Enable Unity Catalog and Setup Metastore | How to setup Unity Catalog for Databricks Workspace
11:09
09 Legacy Hive Metastore Catalog in Databricks | What are Managed Table and External Table | DBFS
06:53
08 What is Unity Catalog and Databricks Governance | What is Metastore | Unity Catalog Object Model🔥
05:51
07 How Databricks work with Azure | Managed Storage Container | Databricks clusters using Azure VMs
12:04
06 Databricks Workspace & Notebooks | Cell Magic commands | Version History | Comments | Variables
05:02
05 Understand Databricks Account Console | User Management in Databricks | Workspace Management
12:24
04 Setup Databricks on Azure | Create your first Databricks Workspace | How to Databricks free trial
08:59
03 Databricks High Level Architecture | Understand Control Plane & Data Plane | Roles in Databricks
10:05
02 What is Data Lakehouse & Databricks Data Intelligence Platform | Benefits of Databricks Lakehouse
02:11
01 Databricks - Agenda and Introduction | Databricks Tutorial | Databricks for Data Engineering
18:45
30 Data Skipping and Z-Ordering in Delta Lake Tables | Optimize & Data Compaction Delta Lake Tables
13:42
29 Optimize Data Scanning with Partitioning in Spark | How Partitioning data works | Optimize Jobs
09:32
Get 100% more Interview calls from Naukri Portal | Boost your Naukri Profile |Optimize Naukri Search
34:15
28 Get Started with Delta Lake using Databricks | Benefits and Features of Delta Lake | Time Travel
21:17
27 Read and Write from Azure Cosmos DB using Spark | E2E Cosmos DB setup | NoSQL vs SQL Databases
21:17
17 Read and Write from Azure Cosmos DB using Spark | E2E Cosmos DB setup | NoSQL vs SQL Databases
13:37
01 What is Distributed Computing, Big Data and Hadoop? | History of Distributed File System
10:08
16 Late Data Processing | Watermarks | Tumbling and Sliding Window Operations in Spark Streaming
07:32
15 Tumbling, Sliding and Session Window Operations in Spark Streaming | Grouped Window Aggregations
04:35
14 Spark Streaming Event vs Processing Time | Late Arrival of Data | Stateful Processing |Watermarks
16:53
13 Spark Streaming Handling Errors and Exceptions | Handle Exception for data re-processing in Spark
11:19
12 Spark Streaming Writing data to Multiple Sinks | foreachBatch | Writing data to JDBC(Postgres)
10:31
11 Spark Streaming Triggers - Once, Processing Time & Continuous | Tune Kafka Streaming Performance
10:41
10 Spark Streaming Read from Kafka | Real time streaming from Kafka
14:37
09 Apache Kafka Basics & Architecture | Kafka Tutorial | Pub Sub Architecture | Learn Kafka in 15min
08:44
08 Spark Streaming Checkpoint Directory | Contents of Checkpoint Directory
14:26
07 Spark Streaming Read from Files | Flatten JSON data
03:06
06 Lambda and Kappa Architectures | Data Processing Architectures in Big Data
12:32
05 Spark Streaming Output Modes, Optimization and Background
13:15
04 Spark Streaming Read from Sockets | Convert Batch Code to Streaming Code
07:07
03 Spark Streaming Local Environment Setup - Docker, Jupyter, PySpark and Kafka
06:46
02 How Spark Streaming Works
01:32
01 Spark Streaming with PySpark - Agenda
19:20
26 Spark SQL, Hints, Spark Catalog and Metastore
11:52
25 AQE aka Adaptive Query Execution in Spark
21:17
24 Fix Skewness and Spillage with Salting in Spark
10:30
23 Static vs Dynamic Resource Allocation in Spark
28:17
22 Optimize Joins in Spark & Understand Bucketing for Faster joins
12:35
21 Broadcast Variable and Accumulators in Spark
13:19
20 Data Caching in Spark
15:14
19 Understand and Optimize Shuffle in Spark
16:47
18 Understand DAG, Explain Plans & Spark Shuffle with Tasks
09:42
17 User Defined Function (UDF)
12:37
16 Understand Spark Execution on Cluster
14:08
15 How Spark Writes data
17:50
14 Read, Parse or Flatten JSON data
10:33
13 Read Complex File Formats
17:08
12 Understand Spark UI, Read CSV Files and Read Modes
13:23
11 Data Repartitioning & PySpark Joins
10:28
10 Window Functions, Unique Data & Databricks Community Cloud
10:10
09 Sorting data, Union and Aggregation in Spark
16:15
08 Working with Strings, Dates and Null
12:15
07 Basic Structured Transformation - Part 2
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