From the course: AWS Certified Machine Learning Engineer - Associate (MLA-C02) Cert Prep

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AWS analytics services overview

AWS analytics services overview

From the course: AWS Certified Machine Learning Engineer - Associate (MLA-C02) Cert Prep

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AWS analytics services overview

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AWS provides a suite of analytic services that you can use for your unique workloads. These services can be used in big data processing, real-time data analytics, capturing clickstream data from multiple websites, batch processing, near real-time data reporting, Internet of Things, machine learning, data visualization, telemetry, and many other use cases. You can definitely do a lot of things if you have a lot of data. It also empowers you to build your data warehouses and data lakes that your application can use. A data lake is simply a centralized repository that allows you to store all your structured and unstructured data. An unstructured data is simply something that you can directly store as is, without having to parse or structure the data before it can be processed or analyzed. Some of these services are actually using various open-source Apache programs and tools, such as Apache Kafka, Apache Spark, Apache Hadoop, Apache Lucene, Apache Flink, Apache Hive, Apache Parquet…

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