使用Amazon EMR的公司
It is used in a variety of applications, including log analysis, data warehousing, machine learning, financial analysis, scientific simulation, and bioinformatics.
使用Amazon EMR的公司列表
curl --request POST \
--url "https://api.theirstack.com/v1/companies/search" \
--header "Accept: application/json" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer <api_key>" \
-d "{
\"company_technology_slug_or\": [
\"amazon-emr\"
]
}"Technology
is any of
Amazon EMR
员工数244kFinancial ServicesAmazon EMR高置信度
员工数147kIT Services and IT ConsultingAmazon EMR高置信度
员工数40k收入$8.1BIT Services and IT ConsultingAmazon EMR高置信度
员工数731k收入$27BIT Services and IT ConsultingAmazon EMR高置信度
员工数89k收入$9.5BIT Services and IT ConsultingAmazon EMR高置信度- 员工数1.5M收入$3MIT Services and IT ConsultingAmazon EMR高置信度
员工数773IT Services and IT ConsultingAmazon EMR高置信度
员工数44k收入$12BFinancial ServicesAmazon EMR高置信度
员工数18kIT Services and IT ConsultingAmazon EMR高置信度
员工数41k收入$1.5BIT Services and IT ConsultingAmazon EMR高置信度
我们拥有关于11,112家公司和用户使用Amazon EMR的数据。我们的Amazon EMR用户和客户列表可供下载，并附有重要的公司信息，包括行业分类、组织规模、地理位置、融资轮次和收入数据等。
技术使用统计和市场份额
如何定位 Amazon EMR 用户
- 如何自定义此列表？
您可以根据地理位置、行业、公司规模、收入、技术使用、职位发布等需求自定义此数据。您可以将数据下载为Excel或CSV格式。
- 如何在公司采用此技术时收到通知？
您可以为此数据设置提醒。您可以通过选择您感兴趣的技术开始，当有新公司使用该技术时，您将收到收件箱中的提醒。
- 如何将此数据导入我的CRM？
您可以将此数据导出为Excel文件，然后导入到您的CRM中。您也可以将数据导出到API。
常见问题
我们的数据来源于从数百万家公司收集的职位发布。我们监控公司网站、招聘网站和其他招聘平台上的这些发布。分析职位发布提供了一种可靠的方法来了解公司正在使用的技术，包括他们使用的内部工具。
我们每天刷新数据，以确保您访问的是最新的信息。这一频繁的更新过程保证了我们的洞察和情报反映行业的最新发展和趋势。
Amazon EMR, or Elastic MapReduce, is a cloud-based big data platform provided by Amazon Web Services (AWS). It allows users to process and analyze vast amounts of data using popular frameworks such as Apache Hadoop, Spark, and HBase. Amazon EMR simplifies the deployment, management, and scaling of big data frameworks by automating time-consuming tasks like provisioning and configuring clusters.
In the realm of Big Data as a Service, Amazon EMR falls into the category of managed big data platforms. These platforms offer users the ability to handle massive datasets without the need for extensive infrastructure setup and maintenance. By leveraging cloud resources, users can focus on data analysis and insights rather than managing the underlying infrastructure. Amazon EMR stands out for its seamless integration with other AWS services, making it a popular choice for businesses looking to harness the power of big data analytics.
Amazon EMR was founded in 2009 by Amazon Web Services. The motivation behind its creation was to provide an efficient and cost-effective solution for processing large-scale data sets. By offering a managed big data platform, AWS aimed to simplify the complexities of big data processing, allowing organizations to derive valuable insights from their data without the burden of managing intricate infrastructure.
As of the latest statistics, Amazon EMR holds a significant market share in the domain of managed big data platforms, competing with other industry players like Google BigQuery and Microsoft Azure HDInsight. With the growing importance of data analytics in businesses of all sizes, the demand for scalable and efficient big data solutions like Amazon EMR is expected to increase. Consequently, the current market share of Amazon EMR is anticipated to grow in the future as more organizations adopt cloud-based big data services to drive their decision-making processes.