Big Data Hadoop and Spark project for absolute beginners | E54E4CD369563B62CD3D61813146CD18318347D1

Big Data Hadoop and Spark project for absolute beginners

Name	A Big Data Hadoop and Spark project for absolute beginners	DOWNLOAD Copy Link
Total Size	3.9 GB
Total Files	273
Last Seen	2024-07-22 23:56
Hash	E54E4CD369563B62CD3D61813146CD18318347D1

/8. Advanced Hive/
1. Fast queries with Hive Partitioning.mp4	122.3 MB
1.1 hive-partition.txt	2.3 KB
2.1 hive-bucketing.txt	1.2 KB
2. Fast queries with Hive Bucketing.mp4	22.0 MB
2.2 retailstore_large.zip	5.6 MB
1.2 retailstore_large.zip	5.6 MB
/
TutsNode.com.txt	0.1 KB
[TGx]Downloaded from torrentgalaxy.to .txt	0.6 KB
/.../10. Spark Scala real world coding framework and best practices/
14.1 FutureXSparkScalaProject_organize.zip	111.3 KB
8.2 winutils.zip	37.0 KB
12.1 FutureXSparkScalaProject_Postgres.zip	12.6 KB
6.1 ScalaBasics.zip	12.5 KB
9.1 FutureXSparkScalaProject.zip	12.0 KB
7.1 SparkHelloWorld.zip	9.9 KB
5.1 ScalaHelloWorld.zip	8.1 KB
10.1 Postgres-course-catalog.sql	1.2 KB
11.1 Postgres-course-catalog_psql.zip	0.6 KB
8.1 githuhb-link.txt	0.0 KB
15.1 log4j.zip	0.3 KB
14. Organizing code with Objects and Methods.mp4	95.6 MB
6. Scala basics using IntelliJ.mp4	79.2 MB
16. Exception Handling with try, catch, Option, Some and None.mp4	57.5 MB
9. Enabling Hive Support in Spark Session.mp4	48.6 MB
15. Implementing Log4j SLf4j Logging.mp4	45.4 MB
7. Hello World Spark Scala using IntelliJ.mp4	43.4 MB
5. Hello World Scala.mp4	36.8 MB
13. Importing a project into IntelliJ.mp4	35.9 MB
10. Installing PostgreSQL.mp4	34.4 MB
12. Fetching PostgresSQL data to a Spark DataFrame.mp4	33.4 MB
2. Installing JDK on a local Machine.mp4	13.3 MB
11. psql command line interface for PostgreSQL.mp4	11.6 MB
8. Configuring HADOOP HOME on Windows using Winutils.mp4	8.5 MB
3. Installing IntelliJ IDEA.mp4	5.5 MB
4. Adding Scala Plugin to IntelliJ.mp4	2.7 MB
1. Spark Scala real world coding introduction.mp4	2.6 MB
/.../14. Spark Scala - Structured Streaming/
6.1 FuturexMiscSparkScala_Filter.zip	34.5 KB
2.2 FuturexMiscSparkScala.zip	19.2 KB
4.2 FuturexMiscSparkScala (1).zip	19.2 KB
9.1 FuturexMiscSparkScala.zip	8.0 KB
5.1 StructuredStreamingWindowAggregation.zip	0.8 KB
8.1 StructuredStreamingWindowAggregation.zip	0.8 KB
7.1 StructuredStreamingDemoTimestamp.zip	0.7 KB
5.2 sale.zip	0.5 KB
2.1 files.zip	0.5 KB
4.1 files (1).zip	0.5 KB
6. Filtering Stream.mp4	47.0 MB
5. Streaming Aggregation.mp4	40.6 MB
8. Aggregation in a time window.mp4	39.5 MB
7. Adding timestamp to streaming data.mp4	32.2 MB
4. Writing streaming data to a Hive table.mp4	25.5 MB
2. Streaming data from files.mp4	19.7 MB
3. Batch Vs Streaming code.mp4	13.2 MB
9. Tumbling window and Sliding window.mp4	9.8 MB
1. Structured Streaming concepts.mp4	6.4 MB
/.../13. Running Spark and Hive on a Cloudera QuickStart VM on GCP/
4.2 FutureXSparkScalaProject-spark-submit.zip	27.2 KB
2.1 cloudera-gcp.txt	3.5 KB
3.1 spark2-cloudera.txt	1.5 KB
1.1 pom.zip	1.0 KB
4.1 spark-submit.txt	0.2 KB
2. Cloudera QuickStart VM Installation on GCP.mp4	69.3 MB
1. Exporting the project to an uber jar.mp4	48.1 MB
3. Running Spark 2 with Hive on Cloudera QuickStart VM.mp4	38.4 MB
5. Doing spark-submit locally.mp4	27.8 MB
4. Uber Jar spark-submit on Cloudera QuickStart VM.mp4	26.2 MB
/.../3. Hadoop - Hands-On/
2.1 retailstore.csv	0.3 KB
2.2 hive-hdfs-commands.txt	1.5 KB
2. Storing data in HDFS and querying with Hive.mp4	86.1 MB
1. Creating a free Hadoop and Spark cluster using Google Dataproc.mp4	83.0 MB
/.../4. Spark concepts and hands-on/
5.2 PySpark_DataFrame.zip	18.1 KB
2.2 spark_installation_on_colab.py	1.4 KB
4.1 pyspark_rdd.zip	16.1 KB
4.2 retailstore.csv	0.3 KB
2.1 Spark_Installation_on_Colab.zip	12.2 KB
6.1 spark-hadoop-commands.txt	1.8 KB
5.1 pyspark_dataframe.py	4.6 KB
3.2 python_basics.py	4.5 KB
3.1 python_basics.py	4.5 KB
4. PySpark RDD.mp4	82.3 MB
3. Python basics.mp4	74.7 MB
5. PySpark - Spark SQL and DataFrame.mp4	72.8 MB
6. Running PySpark on a Hadoop Cluster.mp4	47.7 MB
2. Installing Spark on Google Colab.mp4	37.2 MB
1. Spark concepts.mp4	29.5 MB
/9. Advanced Spark/
2.2 PySpark_udf_and_join.zip	16.4 KB
3.1 PySpark_udf_and_join.zip	16.4 KB
2.1 pyspark_udf_and_join.py	3.8 KB
3.2 pyspark_udf_and_join.py	3.8 KB
1.1 advanced_spark_datasets.zip	753.9 KB
3. Joins - Left, Right, Inner, Outer.mp4	52.4 MB
2. User Defined Function (UDF).mp4	31.2 MB
1. Advanced Spark datasets.mp4	13.2 MB
/.../12. Spark Scala Unit Testing using ScalaTest/
1.1 FutureXScalaUnitTesting.zip	16.0 KB
7.1 common.zip	1.7 KB
9.1 SparkTransformerSpec.zip	0.8 KB
6.1 SparkTransformerSpec.zip	0.8 KB
5.1 SparkTransformerSpec.zip	0.7 KB
8.1 failtests.txt	0.1 KB
2. Spark Transformation unit testing using ScalaTest.mp4	76.9 MB
1. Scala Unit Testing using JUnit & ScalaTest.mp4	65.4 MB
5. Throwing Custom Error and Intercepting Error Message.mp4	63.3 MB
2.1 FutureXSparkScalaProject_ScalaTest.zip	1.0 MB
4. Catching Exception using assertThrows.mp4	24.5 MB
3. Unit testing to catch an Exception.mp4	18.4 MB
6. Testing with assertResult.mp4	13.6 MB
7. Testing with Matchers.mp4	12.6 MB
9. Sharing fixtures.mp4	11.4 MB
8. Failing tests intentionally.mp4	11.3 MB
5.2 FutureXSparkScalaProject_assetThrowsIntercept.zip	1.1 MB
/.pad/
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45	1.0 MB
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51	170.9 KB
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53	868.2 KB
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56	920.5 KB
57	528.7 KB
58	1.0 MB
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60	672.7 KB
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63	731.7 KB
64	501.9 KB
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66	1.0 MB
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69	231.2 KB
70	235.5 KB
71	349.3 KB
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74	451.8 KB
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77	51.3 KB
78	126.2 KB
79	310.1 KB
80	386.8 KB
81	389.7 KB
82	988.9 KB
83	1.0 MB
84	122.5 KB
85	227.3 KB
86	638.3 KB
87	962.9 KB
88	486.1 KB
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90	647.5 KB
91	657.7 KB
92	812.7 KB
93	431.2 KB
94	562.8 KB
/.../5. Project - Bank prospects marketing data cleansing using Spark/
2. Rapid Revision - Big Data, Hadoop and Spark concepts.mp4	113.9 MB
1.2 pyspark_bank_marketing_project.zip	15.1 KB
1.1 pyspark_bank_marketing_project.py	2.8 KB
1. Project - Bank prospects marketing data transformation using Hadoop and Spark.mp4	92.0 MB
/.../6. Running the project in Scala/
1.1 scala-basics.txt	2.0 KB
2.1 spark-scala-dataframe.txt	2.5 KB
3.1 spark-scala-bank-marketing-project.txt	1.3 KB
1. Scala basics.mp4	57.5 MB
2. Spark SQL DataFrame using Scala.mp4	36.7 MB
3. Bank prospects marketing project in Scala.mp4	23.6 MB
/.../7. Bank prospects data transformation using AWS S3, Glue and Athena/
2.1 Creating a Data Lake using S3, Glue, Athena.zip	1.4 KB
6.1 Triggering AWS Glue job with a serverless Lambda function.zip	0.5 KB
7.1 glue_pyspark_bank_marketing_project.zip	1.3 KB
7. Project - Bank prospects data transformation using S3, Glue & Athena services.mp4	79.9 MB
6. Triggering AWS Glue job with a serverless AWS Lambda function.mp4	60.6 MB
5. ETL transformation using AWS Glue.mp4	50.8 MB
4. AWS Glue crawler and AWS Athena query tool.mp4	44.0 MB
2. AWS data lake - S3, Glue and Athena introduction.mp4	25.7 MB
3. Create a data lake on AWS S3.mp4	16.4 MB
1. Introduction to AWS data lake use case.mp4	14.2 MB
/.../16. PySpark Logging and Error Handling/
3.1 DataPipeline_Logger2.zip	2.8 KB
2.1 DataPipeline_logging_1.zip	2.7 KB
2. Managing log level through a configuration file.mp4	80.4 MB
4. Error Handling with try except and raise.mp4	55.6 MB
1. Python Logging.mp4	44.1 MB
3. Having custom logger for each Python class.mp4	44.0 MB
/.../17. Creating a Data Pipeline with Hadoop PySpark and PostgreSQL/
4.1 DataPipeline_psycopg2.zip	2.5 KB
1.1 DataPipeline_v5.zip	1.5 KB
6.2 persist_transformed_df.zip	0.9 KB
3.1 Postgres-course-catalog.zip	0.6 KB
6.1 pg_course.zip	0.3 KB
5.1 DataPipeline_postgres_jdbc.zip	933.6 KB
4. PySpark PostgreSQL interaction with Psycopg2 adapter.mp4	62.4 MB
1. Ingesting data from Hive.mp4	45.4 MB
5. Spark PostgreSQL interaction with JDBC driver.mp4	36.3 MB
3. Installing PostgreSQL.mp4	24.4 MB
6. Persisting transformed data in PostgreSQL.mp4	19.7 MB
2. Transforming ingested data.mp4	19.6 MB
/.../15. Creating a PySpark real world coding framework/
6.1 DataPipeline_v4.zip	1.7 KB
5.1 DataPipeline_v3.zip	1.6 KB
4.1 DataPipeline_v2.zip	1.2 KB
2.1 DataPipeline_v1.zip	1.0 KB
1.1 hello_world_python_spark_hadoop.zip	0.7 KB
1. PySpark Hadoop Hive development environment using PyCharm and Winutils.mp4	102.3 MB
4. Creating and reusing SparkSession.mp4	56.1 MB
6. Separating out Ingestion, Transformation and Persistence code.mp4	48.2 MB
5. Spark DataFrame.mp4	46.7 MB
2. Structuring code with classes and methods.mp4	33.3 MB
3. How Spark works.mp4	7.9 MB
/.../19. Unit testing PySpark application and spark-submit/
3.1 test_transformer.zip	0.8 KB
1.1 test.zip	0.5 KB
2. Unit testing PySpark transformation logic.mp4	33.5 MB
1. Python unittest framework.mp4	24.5 MB
4. PySpark - spark submit.mp4	13.7 MB
3. Unit testing an error.mp4	13.5 MB
/.../11. A Data Pipeline with Spark Scala Hadoop PostgreSQL/
5. Intellij Maven troubleshooting tips.html	0.6 KB
1. Reading from Hive and Writing to Postgres.mp4	109.2 MB
3.1 FutureXSparkScalaProject_writeToHive.zip	406.4 KB
2. Reading Configuration from JSON using Typesafe.mp4	89.2 MB
2.1 FutureXSparkScalaProject_typesafe_config_parser.zip	367.5 KB
1.1 FutureXSparkScalaProject_readHivewritePG.zip	362.0 KB
4.1 FutureXSparkScalaProject.zip	1.0 MB
4. Managing input parameters using a Scala Case Class.mp4	35.9 MB
3. Writing data to a Hive Table.mp4	32.7 MB
/.../18. PySpark - Reading Configuration from properties file/
2.1 DataPipeline_read_config.zip	940.0 KB
1. Organizing code further.mp4	22.1 MB
2. Reading configuration from a property file.mp4	20.4 MB
/.../2. Big Data Hadoop concepts/
2. Hadoop concepts.mp4	43.2 MB
1. Big Data concepts.mp4	20.7 MB
/1. Introduction/
1. Introduction.mp4	15.3 MB
Total files 273