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AWS Data Pipeline is a web service that provides a simple management system for data-driven workflows. Using AWS Data Pipeline, you define a pipeline composed of the “data sources” that contain your data, the “activities” or business logic such as EMR jobs or SQL queries, and the “schedule” on which your business logic executes. For example, you could define a job that, every hour, runs an Amazon Elastic MapReduce (Amazon EMR)–based analysis on that hour’s Amazon Simple Storage Service (Amazon S3) log data, loads the results into a relational database for future lookup, and then automatically sends you a daily summary email.
983
aziende
Abbiamo dati su 983 aziende che usano AWS Data Pipeline. La nostra lista di clienti AWS Data Pipeline è disponibile per il download ed è arricchita con specifiche vitali dell'azienda, incluse classificazione industriale, dimensioni organizzative, posizione geografica, round di finanziamenti e cifre di ricavi, tra gli altri.
Azienda | Paese | Settore | Dipendenti | Entrate |
---|---|---|---|---|
Amazon Web Services, Inc. | Stati Uniti | It Services And It Consulting | 1.5M | $3M |
Amazon.com Services LLC | Stati Uniti | Retail | 10K | $50M |
![]() AutoScout24 | Germania | Software Development | 738 | |
Dice | Stati Uniti | Software Development | 736 | $12M |
Cognizant Technology Solutions | Stati Uniti | It Services And It Consulting | 341K | $19B |
Vertical Relevance | Stati Uniti | Financial Services | 79 | $2.4M |
![]() WebFX | Stati Uniti | Advertising Services | 822 | $100M |
Gartner | Stati Uniti | Information Services | 23K | |
JPMorgan Chase Bank, N.A. | Stati Uniti | Financial Services | 76K | $135M |
Procore Technologies | Stati Uniti | Software Development | 4K | $478M |
Blink Health | Stati Uniti | Hospitals And Health Care | 336 | $40M |
INCOME INSURANCE LIMITED | Singapore | Insurance | 2.4K | $35M |
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AWS Data Pipeline è utilizzata in 36 paesi
Ci sono 11 alternative a AWS Data Pipeline
Domande frequenti
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AWS Data Pipeline is a powerful cloud-based data integration service provided by Amazon Web Services (AWS). It allows users to automate the movement and transformation of data within the AWS ecosystem. With AWS Data Pipeline, organizations can efficiently schedule data-driven workflows and orchestrate the processing of data across various AWS services.
In the category of Data Transfer, AWS Data Pipeline stands out as a versatile tool for managing the complexities of data movement and processing. It streamlines the execution of data-driven workflows by enabling users to define dependencies and schedule activities with flexibility. By supporting diverse data sources and destinations, AWS Data Pipeline empowers businesses to leverage their data effectively for analytics, reporting, and other applications.
AWS Data Pipeline was founded by Amazon Web Services in October 2012. The motivation behind its creation was to provide AWS customers with a solution to automate the process of data orchestration and transfer across different services within the AWS cloud infrastructure. Since its inception, AWS Data Pipeline has evolved to meet the increasing demands of data-centric businesses for efficient data processing and workflow automation.
As of the current market scenario, AWS Data Pipeline maintains a significant market share within the Data Transfer category. Its user-friendly interface, scalability, and integration capabilities have positioned it as a preferred choice for organizations looking to streamline their data workflows. With the growing emphasis on data-driven decision-making and the increasing adoption of cloud services, the market forecast indicates a positive trajectory for AWS Data Pipeline, with the potential for further growth in the future.
Companies use AWS Data Pipeline for efficient and seamless data transfer and processing. This powerful tool simplifies the management of data-driven workflows, allowing organizations to automate the movement and transformation of data across various AWS services. The benefits of utilizing AWS Data Pipeline are manifold:
AWS Data Pipeline offers a straightforward way to transfer data between different data storage services and databases. Unlike manual data transfer processes that are prone to errors and inefficiencies, AWS Data Pipeline automates the entire transfer process, ensuring reliability and consistency in moving data across systems.
One of the key advantages of AWS Data Pipeline is its scalability and flexibility. Companies can easily scale their data transfer operations up or down based on their specific needs, without having to worry about infrastructure provisioning or maintenance. This flexibility enables organizations to adapt to changing data processing requirements quickly and cost-effectively.
AWS Data Pipeline helps companies reduce their data transfer costs by optimizing the use of resources and streamlining data workflows. By automating data transfer processes and eliminating unnecessary data movement, companies can minimize data transfer expenses while maximizing efficiency and performance.
AWS Data Pipeline seamlessly integrates with other AWS services, enabling companies to leverage a wide range of data processing and analytics tools within the AWS ecosystem. This integrated approach simplifies data workflows and enhances collaboration between different teams, ultimately leading to improved productivity and agility in data-driven decision-making.
Companies Using AWS Data Pipeline
Many well-known companies rely on AWS Data Pipeline for their data transfer needs. Let's explore a few case studies showcasing how businesses leverage this technology for streamlined data processing and management.
1. Netflix
Netflix, a prominent player in the streaming industry, utilizes AWS Data Pipeline to orchestrate the movement and processing of vast amounts of data across different AWS services. They began using AWS Data Pipeline several years ago to automate workflows and ensure timely data processing for their platform. By leveraging AWS Data Pipeline's capabilities, Netflix can efficiently manage data from various sources, ensuring a seamless streaming experience for their users.
2. Airbnb
Airbnb, a popular online marketplace for lodging and tourism experiences, relies on AWS Data Pipeline to automate and schedule data processing tasks. By integrating AWS Data Pipeline into their data infrastructure, Airbnb can effortlessly extract, transform, and load data from a multitude of sources, enhancing their operational efficiency. The company started using AWS Data Pipeline to streamline their data workflows, enabling them to make data-driven decisions effectively and optimize their services for users worldwide.
3. NASDAQ
NASDAQ, a leading global provider of trading, clearing, exchange technology, listing, information, and public company services, harnesses AWS Data Pipeline for managing their data transfer processes securely and efficiently. By utilizing AWS Data Pipeline, NASDAQ can automate the movement of critical financial data across their systems, ensuring accuracy and timeliness in their operations. The company adopted AWS Data Pipeline to enhance their data processing capabilities and maintain the integrity of their financial data, underscoring their commitment to operational excellence in the financial services industry.
These case studies illustrate how companies like Netflix, Airbnb, and NASDAQ leverage AWS Data Pipeline to optimize their data transfer processes, streamline workflows, and achieve operational excellence in their respective industries. By harnessing the power of AWS Data Pipeline, these businesses can enhance their data management capabilities, drive innovation, and deliver exceptional services to their customers.
Puoi accedere a un elenco aggiornato di aziende che utilizzano AWS Data Pipeline visitando TheirStack.com. La nostra piattaforma fornisce un database completo di aziende che utilizzano varie tecnologie e strumenti interni.
Fino ad ora, abbiamo dati su 983 aziende che utilizzano AWS Data Pipeline.
AWS Data Pipeline è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "It Services And It Consulting", "Retail", "Software Development", "Software Development", "It Services And It Consulting", "Financial Services", "Advertising Services", "Information Services", "Financial Services", "Software Development". Per un elenco completo di tutti i settori che utilizzano AWS Data Pipeline, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano AWS Data Pipeline includono Amazon Web Services, Inc., Amazon.com Services LLC, AutoScout24, Dice, Cognizant Technology Solutions, Vertical Relevance, WebFX, Gartner, JPMorgan Chase Bank, N.A., Procore Technologies e molte altre. Puoi trovare un elenco completo di 983 aziende che utilizzano AWS Data Pipeline su TheirStack.com.
Secondo i nostri dati, AWS Data Pipeline è più popolare in Stati Uniti (481 companies), Regno Unito (66 companies), India (40 companies), Germania (18 companies), Canada (15 companies), Spagna (15 companies), Francia (14 companies), Sudafrica (12 companies), Australia (11 companies), Giappone (9 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano AWS Data Pipeline cercandolo su TheirStack.com. Tracciamo le offerte di lavoro di milioni di aziende e le utilizziamo per scoprire quali tecnologie e strumenti interni stanno utilizzando.