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  2. Amazon Kinesis - Wikipedia

    en.wikipedia.org/wiki/Amazon_Kinesis

    Amazon Kinesis is a family of services provided by Amazon Web Services (AWS) for processing and analyzing real-time streaming data at a large scale. Launched in November 2013, it offers developers the ability to build applications that can consume and process data from multiple sources simultaneously. [2]

  3. Amazon Redshift - Wikipedia

    en.wikipedia.org/wiki/Amazon_Redshift

    Amazon Redshift is a data warehouse product which forms part of the larger cloud-computing platform Amazon Web Services. [1] It is built on top of technology from the massive parallel processing (MPP) data warehouse company ParAccel (later acquired by Actian), [2] to handle large scale data sets and database migrations. [3]

  4. Data build tool - Wikipedia

    en.wikipedia.org/wiki/Data_build_tool

    Dbt enables analytics engineers to transform data in their warehouses by writing select statements, and turns these select statements into tables and views. Dbt does the transformation (T) in extract, load, transform (ELT) processes – it does not extract or load data, but is designed to be performant at transforming data already inside of a ...

  5. Extract, transform, load - Wikipedia

    en.wikipedia.org/wiki/Extract,_transform,_load

    Cloud-based data warehouses like Amazon Redshift, Google BigQuery, Microsoft Azure Synapse Analytics and Snowflake Inc. have been able to provide highly scalable computing power. This lets businesses forgo preload transformations and replicate raw data into their data warehouses, where it can transform them as needed using SQL .

  6. Amazon Web Services - Wikipedia

    en.wikipedia.org/wiki/Amazon_Web_Services

    Early AWS "building blocks" logo along a sigmoid curve depicting recession followed by growth. [citation needed]The genesis of AWS came in the early 2000s. After building Merchant.com, Amazon's e-commerce-as-a-service platform that offers third-party retailers a way to build their own web-stores, Amazon pursued service-oriented architecture as a means to scale its engineering operations, [15 ...

  7. Amazon SageMaker - Wikipedia

    en.wikipedia.org/wiki/Amazon_SageMaker

    Amazon SageMaker AI is a cloud-based machine-learning platform that allows the creation, training, and deployment by developers of machine-learning (ML) models on the cloud. [1] It can be used to deploy ML models on embedded systems and edge-devices .

  8. Business intelligence - Wikipedia

    en.wikipedia.org/wiki/Business_intelligence

    Business intelligence (BI) consists of strategies, methodologies, and technologies used by enterprises for data analysis and management of business information. [1] Common functions of BI technologies include reporting, online analytical processing, analytics, dashboard development, data mining, process mining, complex event processing, business performance management, benchmarking, text ...

  9. Behavioral analytics - Wikipedia

    en.wikipedia.org/wiki/Behavioral_analytics

    Amazon.com is a leader in using behavioral analytics to recommend additional products that customers are likely to buy based on their previous purchasing patterns on the site. [5] Behavioral analytics is also used by Target to suggest products to customers in their retail stores, while political campaigns use it to determine how potential ...

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