Big Data for Architects / Chawla, Bhavuk.

1st edition.

Packt Publishing, 2021.

1 online resource (1 video file, approximately 7 hr., 39 min.)

Access is available to the Yale community.

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Get to grips with big data technologies and work on real-world big data projects confidently About This Video Get a holistic picture of the big data ecosystem Become an expert in choosing big data technology as per the requirements Get ready to build end-to-end big data batch and streaming pipelines In Detail 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.

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English

March 03, 2022