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[FreeCoursesOnline.Me] PacktPub - Big Data For Architects [Video]

TORRENT SUMMARY

	Status:	All the torrents in this section have been verified by our verification system
Category:	Other
Infohash	df3314dfc91eaa5b976e3814ddad0980e66d657f
Size:	5 GB in 65 files
Release Date(s):	Torrent Release: 07-02-2021 by user
Swarm:	0 Seeds & 0 Peers
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DESCRIPTION

Lynda and other Courses >>> https://www.freecoursesonline.me/

For Developer Tools & Apps >>> https://ftuapps.com/

Forum for discussion >>> https://1hack.us/

By: Bhavuk Chawla

Released: January 2021

Course Source: https://www.packtpub.com/product/big-data-for-architects-video/9781801075596

Video Details

ISBN 9781801075596

Course Length 7 hours 38 minutes

About

Do you want a guide that will help you to pick the right big data technology for your project? Or do you want to get a solid understanding of the big data architecture and pipelines? This course will help you out.

After highlighting the course structure and learning objectives, the course will take you through the steps needed for setting up the environment. Next, you will understand the big data logical architecture, study the evolution of big data technologies, and explore big data pipelines. Moving along, you will become familiar with ingestion frameworks, such as Kafka, Flume, Nifi, and Sqoop. Next, you will learn about key storage frameworks, such as HDFS, HBase, Kudu, and Cassandra. Finally, you will go through the various data formats and uncover key data processing and data analysis frameworks.

By the end of this course, you will have a good understanding of the big data architecture and technologies and will have developed the skills to build real-world big data pipelines.

All the resources and support files for this course are available at https://github.com/PacktPublishing/Big-Data-for-Architects

Author

Bhavuk Chawla

Bhavuk Chawla has over 16 years of experience in IT, more than 8 years of experience implementing Cloud/ML/AI/Big Data Science related projects. He is an official instructor for Google, Confluent, and Cloudera. He has delivered and continues to deliver his training sessions in various companies including Google Singapore, Microsoft Bengaluru (Bangalore), Starbucks Coffee Seattle, Adobe India, EMEA Region, and more. He was recognized by Cloudera as the Instructor of the Year 2016 (APAC) for his exceptionally high ratings received in various training sessions.

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FILE LIST

Filename		Size
	0. Websites you may like/How you can help our Group!.txt	208 B
	01.01-course_structure_and_approach.mkv	28.4 MB
	01.02-course_pre-requisites.mkv	35.2 MB
	01.03-course_audience.mkv	8.9 MB
	01.04-about_the_author.mkv	63.4 MB
	02.01-setting_up_a_google_cloud_account.mkv	11.6 MB
	02.02-creating_a_dataproc_cluster.mkv	89.7 MB
	02.03-google_cloud_platform_(gcp)_account_best_practices.mkv	20.9 MB
	03.01-big_data_logical_architecture.mkv	243.4 MB
	03.02-evolution_of_big_data_technologies.mkv	101.4 MB
	03.03-key_big_data_architectures.mkv	127.6 MB
	03.04-typical_big_data_batch_pipeline.mkv	18.1 MB
	03.05-typical_big_data_streaming_pipeline.mkv	84.8 MB
	03.06-example_01_big_data_streaming_pipeline.mkv	14.5 MB
	03.07-example_02_big_data_streaming_pipeline.mkv	17.3 MB
	04.01-factors_to_consider_while_comparing_ingestion_frameworks.mkv	150 MB
	04.02-kafka_versus_flume.mkv	133.6 MB
	04.03-nifi_versus_kafka.mkv	140.8 MB
	04.04-sqoop_versus_flume.mkv	61.2 MB
	04.05-sqoop_versus_kafka_connect.mkv	70.7 MB
	04.06-installing_nifi.mkv	60.7 MB
	04.07-installing_kafka.mkv	108 MB
	04.08-hands-on_kafka_and_nifi_integration_background.mkv	11.8 MB
	04.09-integrating_kafka_and_nifi.mkv	322.2 MB
	05.01-factors_to_consider_while_comparing_storage_frameworks.mkv	110.3 MB
	05.02-hadoop_distributed_file_system_(hdfs)_versus_hbase.mkv	67.3 MB
	05.03-hbase_versus_kudu.mkv	53.1 MB
	05.04-hadoop_distributed_file_system_(hdfs)_versus_kudu.mkv	43.4 MB
	05.05-hbase_versus_cassandra.mkv	70.9 MB
	06.01-text_versus_binary.mkv	26.1 MB
	06.02-interoperability.mkv	13.3 MB
	06.03-row-oriented_versus_column-oriented.mkv	74.4 MB
	06.04-splittable_formats.mkv	43.2 MB
	06.05-schema_evolution.mkv	90.4 MB
	06.06-comparing_data_formats.mkv	101.7 MB
	06.07-installing_sqoop_on_dataproc_cluster.mkv	117.5 MB
	06.08-hands-on_big_data_batch_pipeline_using_the_avro_format.mkv	140.6 MB
	07.01-factors_to_consider_while_comparing_processing_frameworks.mkv	170.5 MB
	07.02-mapreduce_(mr)_versus_spark_logical_architecture.mkv	61.3 MB
	07.03-mapreduce_(mr)_versus_spark_performance.mkv	8.9 MB
	07.04-spark_versus_tez.mkv	34.1 MB
	07.05-spark_versus_flink.mkv	120.6 MB
	07.06-kafka_streams_versus_spark_streaming.mkv	101.1 MB
	07.07-spark_2.x_streaming_versus_spark_1.x_streaming.mkv	63 MB
	07.08-spark_core_versus_spark_structured_query_language_(sql).mkv	51.4 MB
	07.09-integrating_kafka_and_spark_streaming.mkv	186.9 MB
	08.01-factors_to_consider_while_comparing_analysis_frameworks.mkv	110.8 MB
	08.02-hive_versus_impala.mkv	88.7 MB
	08.03-hive_versus_pig.mkv	53.1 MB
	08.04-hive_versus_spark_structured_query_language_(sql).mkv	55 MB
	08.05-hive_versus_hive_live_long_and_process_(llap)_versus_impala.mkv	88.3 MB
	08.06-hive_versus_ksql.mkv	71.7 MB
	08.07-ksql_versus_ksqldb.mkv	41.4 MB
	08.08-hands-on_ksql.mkv	95.3 MB
	08.09-writing_to_a_stream_and_table_using_ksql.mkv	202.9 MB
	08.10-streaming_extract_transform_load_(etl)_pipeline_background.mkv	71.1 MB
	08.11-building_a_scalable_extract_transform_load_(etl)_pipeline_with_kafka_connect-part_1.mkv	210.8 MB
	08.12-building_a_scalable_extract_transform_load_(etl)_pipeline_with_kafka_connect-part_2.mkv	52.6 MB
	09.01-solr_versus_elasticsearch.mkv	96.5 MB
	09.02-cloudera_search_versus_solr.mkv	23.1 MB
	09.03-oozie_versus_airflow.mkv	42.2 MB
	09.04-ksql_vs_kstreams.mkv	82.7 MB
	10.01-conclusion.mkv	4.3 MB
	9781801075596_Code.zip	7.6 MB
	packt.big.data.for.architects-xqzt.nfo	540 B

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