Michael E. Byczek, Software Engineer

Cloud Platforms

Google, Microsoft, Amazon, and Oracle offer cloud-based services for big data and analytics with built-in features along with drag-and-drop interfaces for business intelligence and machine learning.

Google Cloud-based Analytics

The Google Cloud Platform consists of Big Query, Cloud Dataflow, Dataproc, Datalab, and Cloud Pub/Sub.

Big Query Cloud Dataflow Dataproc Datalab Cloud Pub/Sub
Microsoft Cloud-based Analytics

Microsoft Azure has dedicated services for cloud-based analytics: Data Lake, HDInsight, Machine Learning, Stream Analytics, Data Factory, SQL Data Warehouse, Data Catalog, and Power BI. Machine Learning Data Lake, Data Lake Store, and Data Lake Analytics HDInsight Stream Analytics Data Factory SQL Data Warehouse Data Catalog
Amazon Cloud-based Analytics

Amazon AWS cloud-based analytics include EMR (Hadoop), Data Pipeline, Elasticsearch, Kinesis (streaming data), machine learning, Quicksight (business intelligence), and Redshift (data warehouse).

EMR (Elastic MapReduce) Elasticsearch Kinesis Firehose Kinesis Streams Kinesis Analytics Redshift QuickSight Machine Learning Data Pipeline
Oracle Cloud-based Analytics

The Oracle Cloud has two options for business analytics.

1. Platform as a Service (PaaS) for developers to rapidly build and deploy applications.

2. Software as a Service (SaaS) for cloud-based applications integrated with social, mobile, and analytic capabilities.

SaaS also includes data as a service (DaaS).

PaaS includes the categories of Business Analytics (Business Intelligence, Big Data Discovery, Big Data Preparation, Data Visualization, and Internet of Things) and Data Management (Big Data, NoSQL Database, Database, and Database Backup).


Business Intelligence Big Data Preparation Internet of Things Big Data Discovery Data Visualization Database Big Data Database Backup NoSQL Database SaaS:

HCM Analytics
CRM Analytics
ERP Analytics
SCM Analytics

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