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[ CoursePig com ] Linkedin - Apache Spark Essential Training - Big Data Engineering (2021)
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Bonus Resources.txt
Ex_Files_Apache_Spark_EssT_Big_Data_Eng
Exercise Files
spark-data-engg
Spark-Data-Engg.iml
idea
aws.xml
compiler.xml
gitignore
jarRepositories.xml
misc.xml
name
uiDesigner.xml
workspace.xml
pom.xml
raw_data
STOCK_DATE=2021-06-01
WAREHOUSE_ID=London
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part-00000-56a62de3-ef9a-453a-ae87-9abc3635ec46.c000.snappy.parquet.crc
WAREHOUSE_ID=LosAngeles
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part-00000-96071777-531d-4006-ba28-27ef10326d28.c000.snappy.parquet.crc
WAREHOUSE_ID=NewYork
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part-00000-e6233a6b-0321-45c1-ba09-311bbb5a4323.c000.snappy.parquet.crc
STOCK_DATE=2021-06-02
WAREHOUSE_ID=London
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part-00001-56a62de3-ef9a-453a-ae87-9abc3635ec46.c000.snappy.parquet.crc
WAREHOUSE_ID=LosAngeles
part-00000-96071777-531d-4006-ba28-27ef10326d28.c000.snappy.parquet
part-00000-96071777-531d-4006-ba28-27ef10326d28.c000.snappy.parquet.crc
part-00001-96071777-531d-4006-ba28-27ef10326d28.c000.snappy.parquet
part-00001-96071777-531d-4006-ba28-27ef10326d28.c000.snappy.parquet.crc
WAREHOUSE_ID=NewYork
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part-00001-e6233a6b-0321-45c1-ba09-311bbb5a4323.c000.snappy.parquet.crc
STOCK_DATE=2021-06-03
WAREHOUSE_ID=London
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part-00001-56a62de3-ef9a-453a-ae87-9abc3635ec46.c000.snappy.parquet.crc
WAREHOUSE_ID=LosAngeles
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part-00001-96071777-531d-4006-ba28-27ef10326d28.c000.snappy.parquet.crc
WAREHOUSE_ID=NewYork
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part-00001-e6233a6b-0321-45c1-ba09-311bbb5a4323.c000.snappy.parquet.crc
_SUCCESS
src
main
java
com
learning
sparkdataengg
chapter3
DailyStockUploaderJob.java
GlobalStockDBBrowser.java
RawStockDataGenerator.java
StockAggregatorJob.java
chapter4
CountryStatsBrowser.java
MariaDBManager.java
MariaDBWriter.java
RedisWriter.java
ShoppingCartTopicBrowser.java
StreamingWebsiteAnalytics.java
VisitStatsDBBrowser.java
WebsiteVisitsDataGenerator.java
chapter6
LastActionStatsBrowser.java
LongLastActionExtractorJob.java
RedisWriter.java
ScoreCardForLastActionJob.java
setup
SetupPrerequisites.java
resources
log4j.properties
tmp
cp-shoppingcart2
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sources
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spark-docker.yml
[1] Introduction
[1] Driving big data engineering with Apache Spark.mp4
[1] Driving big data engineering with Apache Spark.srt
[2] Course prerequisites.mp4
[2] Course prerequisites.srt
[3] Setting up the exercise files.mp4
[3] Setting up the exercise files.srt
[2] 1. Data Engineering Concepts
[1] What is data engineering.mp4
[1] What is data engineering.srt
[2] Data engineering vs. data analytics vs. data science.mp4
[2] Data engineering vs. data analytics vs. data science.srt
[3] Data engineering functions.mp4
[3] Data engineering functions.srt
[4] Batch vs. real-time processing.mp4
[4] Batch vs. real-time processing.srt
[5] Data engineering with Spark.mp4
[5] Data engineering with Spark.srt
[3] 2. Spark Capabilities for ETL
[1] Spark architecture review.mp4
[1] Spark architecture review.srt
[2] Parallel processing with Spark.mp4
[2] Parallel processing with Spark.srt
[3] Spark execution plan.mp4
[3] Spark execution plan.srt
[4] Stateful stream processing.mp4
[4] Stateful stream processing.srt
[5] Spark analytics and ML.mp4
[5] Spark analytics and ML.srt
[4] 3. Batch Processing Pipelines
[1] Batch processing use case Problem statement.mp4
[1] Batch processing use case Problem statement.srt
[2] Batch processing use case Design.mp4
[2] Batch processing use case Design.srt
[3] Setting up the local DB.mp4
[3] Setting up the local DB.srt
[4] Uploading stock to a central store.mp4
[4] Uploading stock to a central store.srt
[5] Aggregating stock across warehouses.mp4
[5] Aggregating stock across warehouses.srt
[5] 4. Real-Time Processing Pipelines
[1] Real-time use case Problem.mp4
[1] Real-time use case Problem.srt
[2] Real-time use case Design.mp4
[2] Real-time use case Design.srt
[3] Generating a visits data stream.mp4
[3] Generating a visits data stream.srt
[4] Building a website analytics job.mp4
[4] Building a website analytics job.srt
[5] Executing the real-time pipeline.mp4
[5] Executing the real-time pipeline.srt
[6] 5. Data Engineering with Spark Best Practices
[1] Batch vs. real-time options.mp4
[1] Batch vs. real-time options.srt
[2] Scaling extraction and loading operations.mp4
[2] Scaling extraction and loading operations.srt
[3] Scaling processing operations.mp4
[3] Scaling processing operations.srt
[4] Building resiliency.mp4
[4] Building resiliency.srt
[7] 6. End-to-End Exercise Project
[1] Project exercise requirements.mp4
[1] Project exercise requirements.srt
[2] Solution design.mp4
[2] Solution design.srt
[3] Extracting long last actions.mp4
[3] Extracting long last actions.srt
[4] Building a scorecard.mp4
[4] Building a scorecard.srt
[8] Conclusion
[1] More about Apache Spark.mp4
[1] More about Apache Spark.srt
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