Build the Common Data Language with the Metrics Platform Start Now
Kyligence Zen Kyligence Zen
Kyligence Enterprise Kyligence Enterprise
Cloud
Services
By Use Cases
By BI Tools
Customers
Resources
Apache Kylin
About
Partners
Last week, HPE announced its acquisition of MapR assets. As a MapR partner, we at Kyligence are happy to see that MapR's great technology has found a new home.
MapR has a great file system that is not only compatible with HDFS, but also compatible with Linux file system. In MapR-FS, developers can mount a MapR cluster as a Linux directory, and execute standard Linux commands in this directory. Behind the scenes, files are replicated across the clusters just like in a Hadoop file system and can be processed by standard Hadoop frameworks like Hive, Yarn, and more.
On top of this file system, MapR has also built a database that is compatible with HBase (but doesn’t have the stability issues of HBase) and an event store that is compatible with Kafka. The great data platform of MapR has been servicing some of the world’s largest enterprises in some of the most challenging scenarios (i.e. a bio-info database for the 1.3 billion population of India).
What makes the HPE acquisition interesting is that HPE also acquired BlueData 9 months ago. BlueData enables Big Data applications to operate in container environments. Typical containers such as Docker are good for stateless applications, but they are not a great deployment option for stateful applications such as Hadoop and Spark. BlueData EPIC makes it easier to run Hadoop and Spark on Docker, it also (sort of) works with Kubernetes to orchestrate container clusters.
MapR can further enhance BlueData’s capability to containerize big data applications. MapR’s Persistent Application Client Containers (PACCs) are designed to be the storage foundation for containers. A container can be spun up or shut down, the data is stored in the MapR cluster with replications and dynamically mounted to the container.
Users don’t have to worry about the location of the data, all they need to know is when the container is ready, the data is ready. This is critical for a stateful application to run in the container environment. HPE now has the two key technologies needed to bring Big Data applications into the containerized environment.
Kyligence has traditionally run on Hadoop; Cloudera, Hortonworks and MapR are all officially supported enterprise platforms. Earlier this month we announced the GA of Kyligence 4.0, which is fully built on top of Apache Spark, supporting both on-YARN and standalone deployments. We are excited by the potential HPE’s acquisition of MapR assets brings.
Running Kyligence with Spark in a containerized environment will greatly reduce customers’ operations overhead and increase the flexibility of their analytics capabilities. We look forward to hearing more from the joint HPE/MapR team.
Learn about the fundamentals of a data product and how we help build better data products with real customer success stories.
Learn about the importance of the Metrics Layer and its impact on data analysis and decision-making. Enables businesses to measure, track, and interpret KPI effectively.
Learn about metrics store and how it can help enterprises achieve metrics reusability, consistency, self-service definition, and scalability.
Everything you should know about Metrics Store and how to extend DataOps practices to managing your business metrics. Read Now.
Read on to learn the key competencies and critical features to look for when evaluating a semantic layer offering for your BI tool.
Kyligence Zen intelligently manages data in the retail industry. Read to learn how to develop the "North Star Metric" system to track goals and progress.
Already have an account? Click here to login
预约演示,您将获得
完整的产品体验
从数据导入、建模到分析的全流程操作演示。
行业专家解惑
与资深行业专家的交流机会,解答您的个性化问题。
您还可以在云平台中 部署 Kyligence
直接获得 30 天免费试用
请填写真实信息,我们会在 1-2 个工作日内电话与您联系。