亚马逊Analytics Specialist SA, GCR Data Specialist SA team
社招全职Solution Architect地点：上海状态：停招♡ 收藏
工作描述
任职要求 基本任职资格 - 4+ years of design, implementation, or consulting in applications and infrastructures experience - 7+ years of IT development or implementation/consulting in the software or Internet industries experience - Familiar with services and products related to data analysis, for example: Redshift, EMR, OpenSearch, Flink, Spark, Hbase, Kafka, Kinesis, Trino, Hudi, Iceberg, etc. - Experience in deploying and maintaining big data projects. 优先任职资格 - Experience working within software development or Internet-related industries - Experience migrating or transforming legacy customer solutio…
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包括英文材料
Redshift+
https://aws.amazon.com/awstv/watch/d67f8f62aca/
This video demonstrates how to quickly set up an Amazon Redshift data warehouse and analyze data using Query Editor v2.
https://aws.amazon.com/redshift/getting-started/
Find resources to get started with Amazon Redshift, a cloud data warehouse.
Flink+
https://nightlies.apache.org/flink/flink-docs-release-2.0/docs/learn-flink/overview/
This training presents an introduction to Apache Flink that includes just enough to get you started writing scalable streaming ETL, analytics, and event-driven applications, while leaving out a lot of (ultimately important) details.
https://www.youtube.com/watch?v=WajYe9iA2Uk&list=PLa7VYi0yPIH2GTo3vRtX8w9tgNTTyYSux
Today’s businesses are increasingly software-defined, and their business processes are being automated. Whether it’s orders and shipments, or downloads and clicks, business events can always be streamed. Flink can be used to manipulate, process, and react to these streaming events as they occur.
Spark+
[英文] Learning Spark Book
https://pages.databricks.com/rs/094-YMS-629/images/LearningSpark2.0.pdf
This new edition has been updated to reflect Apache Spark’s evolution through Spark 2.x and Spark 3.0, including its expanded ecosystem of built-in and external data sources, machine learning, and streaming technologies with which Spark is tightly integrated.
HBase+
[英文] HBase Tutorial
https://www.tutorialspoint.com/hbase/index.htm
HBase is a data model that is similar to Google's big table designed to provide quick random access to huge amounts of structured data. This tutorial provides an introduction to HBase, the procedures to set up HBase on Hadoop File Systems, and ways to interact with HBase shell.
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