How to build a data lake with aws glue data catalog (ABD213-R) re:Invent 2017
AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy for customers to prepare and load their data for analytics. You can create and run an ETL job with a few clicks in the AWS Management Console. You simply point AWS Glue to your data stored on AWS, and AWS Glue discovers your data and stores the associated metadata (e.g. table definition and schema) in the AWS
Netflix at AWS re:Invent 2017
by Jason Chan Netflix is excited to be heading back to Las Vegas for AWS re:Invent at the end of the month! Many Netflix engineers and recruiters will be in attendance, and we’re looking forward to meeting and reconnecting with cloud enthusiasts and Netflix OSS users. We’re posting the schedule of Netflix talks here to make it a bit easier to find our speakers at re:Invent. We’ll also have a booth
AWS Big Data Blog
Enhance data security with fine-grained access controls in Amazon DataZone Fine-grained access control is a crucial aspect of data security for modern data lakes and data warehouses. As organizations handle vast amounts of data across multiple data sources, the need to manage sensitive information has become increasingly important. Making sure the right people have access to the right data, withou
AWS re:Invent 2015 | (BDT305) Amazon EMR Deep Dive and Best Practices
Amazon EMR is one of the largest Hadoop operators in the world. In this session, we introduce you to Amazon EMR design patterns such as using Amazon S3 instead of HDFS, taking advantage of both long and short-lived clusters, and other Amazon EMR architectural best practices. We talk about how to scale your cluster up or down dynamically and introduce you to ways you can fine-tune your cluster. We
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AWSが米国で起こした二度目の「CIAショック」
