MapR was created in 2009 by John Schroeder and M.C. Srivas to address the need for a more reliable and performant platform for managing big data workloads. The platform was designed to enhance Hadoop's capabilities by offering improved data management, storage, and processing features. In 2019, Hewlett Packard Enterprise (HPE) acquired MapR, integrating it into its portfolio as HPE Ezmeral Data Fabric to provide enterprises with a comprehensive solution for handling diverse data types across hybrid environments.
MapR (HPE Ezmeral Data Fabric)
MapR, now known as HPE Ezmeral Data Fabric, is a data platform that provides a unified data layer to manage, store, and analyze large volumes of data across various environments. It supports multiple data types and workloads, including analytics, machine learning, and IoT applications. The platform offers capabilities such as distributed file storage, NoSQL database services, event streaming with Apache Kafka compatibility, and integration with cloud and on-premises infrastructures. Its architecture is designed for scalability, reliability, and performance to meet enterprise-level data demands.
Howdy Network Rank#149
Top 5*
Database Technologies
*Survey of over 20,000+ Howdy Professionals
Explore the Howdy Skills Glossary
About MapR (HPE Ezmeral Data Fabric)
Strengths of MapR (HPE Ezmeral Data Fabric) include its unified data platform that supports multiple data types and workloads, strong scalability, high reliability, and seamless integration with cloud and on-premises infrastructures. Weaknesses may involve complex deployment and management, as well as a steeper learning curve compared to some competitors. Competitors include Cloudera, Hortonworks (now part of Cloudera), Amazon EMR, Google Cloud Dataproc, and Microsoft Azure HDInsight.
Hire MapR (HPE Ezmeral Data Fabric) Experts
Work with Howdy to gain access to the top 1% of LatAM Talent.
Share your Needs
Talk requirements with a Howdy Expert.
Choose Talent
We'll provide a list of the best candidates.
Recruit Risk Free
No hidden fees, no upfront costs, start working within 24 hrs.
How to hire a MapR (HPE Ezmeral Data Fabric) expert
A MapR (HPE Ezmeral Data Fabric) expert must have skills in distributed file systems, understanding of MapReduce and Hadoop ecosystem components, proficiency in NoSQL databases, particularly MapR-DB, and knowledge of event streaming technologies like Apache Kafka. They should be adept at data integration and management across hybrid cloud environments and possess strong skills in Linux system administration. Familiarity with containerization technologies such as Kubernetes is also beneficial for managing data workloads within the platform.
The best of the best optimized for your budget.
Thanks to our Cost Calculator, you can estimate how much you're saving when hiring top global talent with no middlemen or hidden fees.
USA
$ 97K
$ 127K
$ 54K
$ 73K
$ 224K
Employer Cost
$ 127K
Employer Cost
Howdy savings:
$ 97K
Benefits + Taxes + Fees
Salary
*Estimations are based on information from Glassdoor, salary.com and live Howdy data.