- Apache Hadoop
- Mongodb
- Big Data
- Apache Spark
- NoSQL Databases
- NoSQL
- Cloud Database
- Cloudant
- Cassandra
- SparkSQL
- SparkML
NoSQL, Big Data, and Spark Foundations 专项课程
Springboard your Big Data career. Master fundamentals of NoSQL, Big Data, and Apache Spark with hands-on job-ready skills in machine learning and data engineering.
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您将学到的内容有
Work with NoSQL databases to insert, update, delete, query, index, aggregate, and shard/partition data.
Develop hands-on NoSQL experience working with MongoDB, Apache Cassandra, and IBM Cloudant.
Develop foundational knowledge of Big Data and gain hands-on lab experience using Apache Hadoop, MapReduce, Apache Spark, Spark SQL, and Kubernetes.
Perform Extract, Transform and Load (ETL) processing and Machine Learning model training and deployment with Apache Spark.
您将获得的技能
关于此 专项课程
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Big Data Engineers and professionals with NoSQL skills are highly sought after in the data management industry. This Specialization is designed for those seeking to develop fundamental skills for working with Big Data, Apache Spark, and NoSQL databases. Three information-packed courses cover popular NoSQL databases like MongoDB and Apache Cassandra, the widely used Apache Hadoop ecosystem of Big Data tools, as well as Apache Spark analytics engine for large-scale data processing.
You start with an overview of various categories of NoSQL (Not only SQL) data repositories, and then work hands-on with several of them including IBM Cloudant, MonogoDB and Cassandra. You’ll perform various data management tasks, such as creating & replicating databases, inserting, updating, deleting, querying, indexing, aggregating & sharding data. Next, you’ll gain fundamental knowledge of Big Data technologies such as Hadoop, MapReduce, HDFS, Hive, and HBase, followed by a more in depth working knowledge of Apache Spark, Spark Dataframes, Spark SQL, PySpark, the Spark Application UI, and scaling Spark with Kubernetes. In the final course, you will learn to work with Spark Structured Streaming Spark ML - for performing Extract, Transform and Load processing (ETL) and machine learning tasks.
This specialization is suitable for beginners in the fields of NoSQL and Big Data – whether you are or preparing to be a Data Engineer, Software Developer, IT Architect, Data Scientist, or IT Manager.
应用的学习项目
The emphasis in this specialization is on learning by doing. As such, each course includes hands-on labs to practice & apply the NoSQL and Big Data skills you learn during lectures.
In the first course, you will work hands-on with several NoSQL databases- MongoDB, Apache Cassandra, and IBM Cloudant to perform a variety of tasks: creating the database, adding documents, querying data, utilizing the HTTP API, performing Create, Read, Update & Delete (CRUD) operations, limiting & sorting records, indexing, aggregation, replication, using CQL shell, keyspace operations, & other table operations.
In the next course, you’ll launch a Hadoop cluster using Docker and run Map Reduce jobs. You’ll explore working with Spark using Jupyter notebooks on a Python kernel. You’ll build your Spark skills using DataFrames, Spark SQL, and scale your jobs using Kubernetes.
In the final course you will use Spark for ETL processing, and Machine Learning model training and deployment using IBM Watson.
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完成后获得证书
100% 在线课程
立即开始，按照自己的计划学习。
灵活的计划
设置并保持灵活的截止日期。
初级
完成课程大约需要 4 个月
建议进度：3 小时/周
英语（English）
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体验 Coursera 企业版可分享的证书
完成后获得证书
100% 在线课程
立即开始，按照自己的计划学习。
灵活的计划
设置并保持灵活的截止日期。
初级
完成课程大约需要 4 个月
建议进度：3 小时/周
英语（English）
对员工进行热门技能培训能否为您的公司带来益处？
体验 Coursera 企业版专项课程的运作方式
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Coursera 专项课程是帮助您掌握一门技能的一系列课程。若要开始学习，请直接注册专项课程，或预览专项课程并选择您要首先开始学习的课程。当您订阅专项课程的部分课程时，您将自动订阅整个专项课程。您可以只完成一门课程，您可以随时暂停学习或结束订阅。访问您的学生面板，跟踪您的课程注册情况和进度。
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每个专项课程都包括实践项目。您需要成功完成这个（些）项目才能完成专项课程并获得证书。如果专项课程中包括单独的实践项目课程，则需要在开始之前完成其他所有课程。
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在结束每门课程并完成实践项目之后，您会获得一个证书，您可以向您的潜在雇主展示该证书并在您的职业社交网络中分享。
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常见问题
退款政策是如何规定的？
我可以只注册一门课程吗？
有助学金吗？
我可以免费学习课程吗？
此课程是 100% 在线学习吗？是否需要现场参加课程？
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Do I need to take the courses in a specific order?
完成专项课程后我会获得大学学分吗？
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