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Náhodný kurz/školeníCOREL Draw! - JUBELA, s.r.o.
Základní délka kurzu jsou dva dny. Výuka probíhá na počítačové učebně vybavené datovým projektorem. ^ BIGDATA ON AWSViz také následující kurzy :
- AWS Cloud Financial Management for Builders
- Security Engineering on AWS
- Advanced Architecting on AWS
- Migrating to AWS
- Cloud Operations on AWS (formerly Systems Operations)
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Kurz - BigData on AWS
Tento vzdělávací kurz/seminář již proběhl - Původní program vzdělávacího kurzu
Tento kurz již byl smazán
Tento kurz pořádala firma: © Alef NULA, a.s. -
Praha 10
Další podobné školení nebo kurzy:
Popis kurzu BigData on AWS
Lektoři kurzuLektoři z firmy: Alef NULA, a.s.
[Kurz] Program kurzu (obsah přednášky/semináře/rekvalifikace/studia) ...Cíle kurzu In this course, you will lea> how to:- Fit AWS solutions inside a big data ecosystem- Leverage Apache Hadoop in the context of Amazon EMR- Identify the components of an Amazon EMR cluster, then launch and configure an Amazon EMR cluster- Use common programming frameworks available for Amazon EMR, including Hive, Pig, and streaming- Improve the ease of use of Amazon EMR by using Hadoop User Experience (Hue)- Use in-memory analytics with Apache Spark on Amazon EMR- Choose appropriate AWS data storage options- Identify the benefits of using Amazon Kinesis for near real-time Big Data processing- Leverage Amazon Redshift to efficiently store and analyze data- Comprehend and manage costs and security for a Big Data solution- Identify options for ingesting, transferring, and compressing data- Leverage Amazon Athena for ad-hoc query analytics- Use AWS Glue to automate extract, transform, and load (ETL) workloads- Use visualization software to depict data and queries using Amazon QuickSightObsah kurzu In this course, you will lea> about cloud-based Big Data solutions such as Amazon EMR, Amazon Redshift, Amazon Kinesis, and the rest of the AWS Big Data platform. We will show you how to use Amazon EMR to process data using the broad ecosystem of Hadoop tools like Hive and Hue. We will also teach you how to create Big Data environments, work with Amazon DynamoDB, Amazon Redshift, Amazon QuickSight, Amazon Athena, and Amazon Kinesis, and leverage best practices to design Big Data environments for security and cost-effectiveness.PředpokladyThis course is intended for:- Solutions architects- SysOps administrators- Data scientists- Data analystsWe recommend that attendees of this course have the following prerequisites: - Familiarity with big data technologies, including Apache Hadoop, Hadoop Distributed File System (HDFS}, and SQL/NoSQL querying- Big Data Technology Fundamentals digital training or equivalent experience- Working knowledge of core AWS services and public cloud implementation- AWS Technical Essentials or equivalent experience- Understanding of data warehousing, relational database systems, and database design
[Kurz] Obsah kurzu/školení...Cíle kurzu In this course, you will lea> how to:- Fit AWS solutions inside a big data ecosystem- Leverage Apache Hadoop in the context of Amazon EMR- Identify the components of an Amazon EMR cluster, then launch and configure an Amazon EMR cluster- Use common programming frameworks available for Amazon EMR, including Hive, Pig, and streaming- Improve the ease of use of Amazon EMR by using Hadoop User Experience (Hue)- Use in-memory analytics with Apache Spark on Amazon EMR- Choose appropriate AWS data storage options- Identify the benefits of using Amazon Kinesis for near real-time Big Data processing- Leverage Amazon Redshift to efficiently store and analyze data- Comprehend and manage costs and security for a Big Data solution- Identify options for ingesting, transferring, and compressing data- Leverage Amazon Athena for ad-hoc query analytics- Use AWS Glue to automate extract, transform, and load (ETL) workloads- Use visualization software to depict data and queries using Amazon QuickSightObsah kurzu In this course, you will lea> about cloud-based Big Data solutions such as Amazon EMR, Amazon Redshift, Amazon Kinesis, and the rest of the AWS Big Data platform. We will show you how to use Amazon EMR to process data using the broad ecosystem of Hadoop tools like Hive and Hue. We will also teach you how to create Big Data environments, work with Amazon DynamoDB, Amazon Redshift, Amazon QuickSight, Amazon Athena, and Amazon Kinesis, and leverage best practices to design Big Data environments for security and cost-effectiveness.PředpokladyThis course is intended for:- Solutions architects- SysOps administrators- Data scientists- Data analystsWe recommend that attendees of this course have the following prerequisites: - Familiarity with big data technologies, including Apache Hadoop, Hadoop Distributed File System (HDFS}, and SQL/NoSQL querying- Big Data Technology Fundamentals digital training or equivalent experience- Working knowledge of core AWS services and public cloud implementation- AWS Technical Essentials or equivalent experience- Understanding of data warehousing, relational database systems, and database design |
[80480] Žádné kurzy nenalezeny
Poslední aktualizace: 2021-02-05 21:44:51
Alef NULA, a.s. |
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