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SAP BTP was introduced as part of the SAP strategy to unify its portfolio and cloud offerings under a single platform. The platform was evolved from earlier initiatives such as SAP Cloud Platform and now serves as the central hub for cloud, data, analytics, integration and AI technologies.
SAP Advanced Planner and Optimizer; SAP Analytics Cloud (SAC) SAP Advanced Business Application Programming (ABAP) SAP Apparel and Footwear Solution (AFS) SAP Business Information Warehouse (BW) SAP Business ByDesign (ByD) SAP Business Explorer (Bex) SAP BusinessObjects Lumira; SAP BusinessObjects Web Intelligence (Webi) SAP Business One
In 2012, SAP promoted aspects of cloud computing. [16] In October 2012, SAP announced a platform as a service offering called the SAP HANA Cloud Platform [17] [18] and a variant called SAP HANA One that used a smaller amount of memory. [19] [20] In May 2013, a managed private cloud offering called the HANA Enterprise Cloud service was announced ...
SAP Converged Cloud is a private managed cloud developed and marketed by SAP. [ 2 ] [ 3 ] It is a set of cloud computing services that offer managed private cloud based on an OpenStack technology-based public cloud .
Data as a service is a general term that encompasses data-related services. Now DaaS service providers are replacing traditional data analytics services or happily clustering with existing services to offer more value-addition to customers. The DaaS providers are curating, aggregating, analyzing multi-source data in order to provide additional ...
The first comprehensive business intelligence systems were developed by IBM and Siebel (currently acquired by Oracle) in the period between 1970 and 1990. [1] [2] At the same time, small developer teams were emerging with attractive ideas, and pushing out some of the products companies still use nowadays.
The industrial internet requires more of an edge-plus-cloud architecture rather than one based on purely centralized cloud; in order to transform productivity, products and services in the industrial world. [4] Big data analytics: Big data analytics is the process of examining large and varied data sets, or big data. [8]
Apache Pinot is used at LinkedIn, Cisco, Uber, Slack, Stripe, DoorDash, Target, Walmart, Amazon, and Microsoft to deliver scalable real time analytics with low latency. [30] It can ingest data from offline data sources (such as Hadoop and flat files) as well as online sources (such as Kafka). Pinot is designed to scale horizontally.
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