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所在平台: Udemy |
课程主页: https://www.udemy.com/course/aws-certified-data-analytics-specialty-das-c01-exam-g/
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课程名称：AWS认证数据分析 - 专项考试 (DAS-C01) 课程概述： 本课程是一个全面且严格的培训项目，旨在为有志于数据分析的专业人士准备AWS认证数据分析专项考试（DAS-C01）。课程提供了一系列精心设计的模拟考试，旨在模拟实际认证考试的结构、内容和难度水平。通过本课程，考生将获得宝贵的实战经验，并深入了解AWS数据分析服务及最佳实践。 每个模拟考试包括涵盖广泛主题的挑战性问题，如数据收集、存储、处理、可视化和在AWS平台上的安全性。学生可以评估自己在数据分析技术和工具方面的知识水平和能力，以及设计和实施可扩展、经济高效和可靠的数据解决方案的能力。通过模拟真实场景，课程帮助考生自信应对职业生涯中可能遇到的复杂挑战。 课程提供了详细的问题解析和理由，让学习者能够识别改进领域，专注于强化自己的薄弱环节。总体而言，AWS认证数据分析专项考试DAS-C01模拟考试课程为有志成为数据分析专家的学员提供了应试所需的知识、技能和信心，帮助他们在认证考试中取得优异成绩，并展示其在数据分析项目中有效利用AWS服务的能力。 课程内容涵盖： - 使用简单队列服务 (SQS) 进行消息排队 - 使用Kinesis Analytics分析实时流数据 - 用Amazon Elasticsearch Service搜索和分析PB级数据 - 使用Amazon Athena查询S3数据湖 - 利用Redshift和Redshift Spectrum托管大规模数据仓库 - 通过关系数据库服务（RDS）和Aurora将小数据与大数据集成 - 使用Quicksight进行交互式数据可视化 - 通过加密、KMS、HSM、IAM、Cognito、STS等保障数据安全 - 使用AWS Kinesis流处理海量数据 - 应对物联网（IoT）爆炸性数据增长 - 通过AWS数据库迁移服务（DMS）实现从小数据到大数据的过渡 - 使用简单存储服务 (S3) 存储海量数据湖 - 优化DynamoDB的事务查询 - 使用AWS Lambda将大数据系统连接起来 - 使用AWS Glue使非结构化数据可查询 - 通过弹性MapReduce处理无限规模的数据，包括Apache Spark、Hive、HBase、Presto、Zeppelin、Splunk和Flume - 使用深度学习、MXNet和TensorFlow在大规模上应用神经网络 - 在大规模上应用Amazon SageMaker的高级机器学习算法 感谢您花时间阅读本课程介绍。我们希望现在您已经具备了立即开始学习的动力。如果是这样，请点击页面顶部的“立即注册”按钮以开始您的学习之旅！
This course is a comprehensive and rigorous training program designed to prepare aspiring data analytics professionals for the AWS Certified Data Analytics Specialty certification exam (DAS-C01). This course offers a comprehensive set of mock exams carefully curated to mimic the structure, content, and difficulty level of the actual certification exam.Through this course, candidates gain invaluable hands-on experience and a deeper understanding of AWS data analytics services and best practices. Each mock exam consists of challenging questions that cover a wide range of topics, including data collection, storage, processing, visualization, and security on the AWS platform.Students can assess their knowledge and proficiency in data analytics techniques and tools, as well as their ability to design and implement scalable, cost-effective, and reliable data solutions on AWS. By simulating real-world scenarios, the course prepares candidates to confidently tackle complex challenges they might encounter in their professional careers. With detailed explanations and rationales for each question, learners can identify areas for improvement and focus their efforts on strengthening their weak points.Overall, the AWS Certified Data Analytics Specialty DAS-C01 - Mock Exams course equips aspiring data analytics specialists with the knowledge, skills, and confidence needed to excel in the certification exam and demonstrate their proficiency in leveraging AWS services for data analytics projects.Queuing messages with Simple Queue Service (SQS)Analyzing streaming data in real-time with Kinesis AnalyticsSearching and analyzing petabyte-scale data with Amazon Elasticsearch ServiceQuerying S3 data lakes with Amazon AthenaHosting massive-scale data warehouses with Redshift and Redshift SpectrumIntegrating smaller data with your big data, using the Relational Database Service (RDS) and AuroraVisualizing your data interactively with QuicksightKeeping your data secure with encryption, KMS, HSM, IAM, Cognito, STS, and moreStreaming massive data with AWS KinesisWrangling the explosion data from the Internet of Things (IOT)Transitioning from small to big data with the AWS Database Migration Service (DMS)Storing massive data lakes with the Simple Storage Service (S3)Optimizing transactional queries with DynamoDBTying your big data systems together with AWS LambdaMaking unstructured data query-able with AWS GlueProcessing data at unlimited scale with Elastic MapReduce, including Apache Spark, Hive, HBase, Presto, Zeppelin, Splunk, and FlumeApplying neural networks at massive scale with Deep Learning, MXNet, and TensorflowApplying advanced machine learning algorithms at scale with Amazon SageMakerThank you for taking the time to read about the course. We hope you now have enough motivation to get into the learning right away. If so, click the Enroll Now button at the top of the page to get started!
