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Optimize Data Management and Analytics with NetApp Solutions for Hadoop

Mike McNamara
Mike McNamara
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With NetApp® technology, you get flexibility and choice based on your use case. If you want to use data management by Hadoop Distributed File System (HDFS), we provide NetApp FAS and AFF systems and NetApp E-Series and EF-Series systems. FAS and AFF systems are certified with Hortonworks Data Platform (HDP) 3.0.0, and E-Series and EF-Series systems are certified with HDP 2.6.5. E-Series and EF-Series systems are also Cloudera certified.



If you need a more optimized in-place analytics solution and you don’t require HDFS, you can use the NetApp In-Place Analytics Module. You gain the following key advantages from the NetApp In-Place Analytics Module compared with competitors’ offerings:

  • A single source or copy of data versus a minimum of two or three copies
  • A reduced data footprint by using deduplication and compression; data reduction of between 5 and 10 times compared with HDFS deployments
  • A unified data lake architecture between Hadoop and artificial intelligence (AI) and deep learning (DL) workloads
  • Quick NetApp Snapshots™ copies for testing and development and easy space-efficient backups
  • Ability to run analytics on data that’s in NFS storage
  • Support for new Hadoop features without upgrading the storage
  • Ability to scale storage and compute independently
  • Support for data security by using Ranger and Kerberos
  • Identical architectures between on-premises deployments and cloud deployments by using NetApp Cloud Volumes Service

The following figure depicts in-place analytics on a Hadoop/Spark cluster.

Optimize Data Management and Analytics with NetApp - Inline Image 1

HDP 3.0.0 Certified with NetApp Cloud Volumes

In the cloud, the configuration with HDP 3.0.0 is certified with NetApp Cloud Volumes ONTAP® technology and Cloud Volumes Service running HDFS over NFS. Cloud Volumes Service is a cloud-native service that gives you high-performance file storage in the cloud, with NFS and SMB connectivity. You get rich data management, such as efficient Snapshot copies and clones, as well as an integrated backup service. You can deploy Cloud Volumes Service in seconds with three different performance tiers on AWS or on Google Cloud Platform. If you use Azure, you can deploy a similar native Azure service called Azure NetApp Files, which is also built on NetApp technology.

Optimize Data Management and Analytics with NetApp - Inline Image 2The certified configuration with HDP 3.0.0 enables you to take advantage of the performance and reliability of Cloud Volumes Service in the cloud. At the same time, you benefit from the data management capabilities that are built into HDFS.

NetApp has been supporting Hadoop for many years to deliver advanced solutions for big data analytics. With NetApp technology, you get industry-leading storage and data management that complements your Hortonworks Data Platform that’s built on Hadoop.

Find out how you can optimize data management and accelerate data analytics with NetApp. For more information, visit netapp.com/bigdata.

Mike McNamara

Mike McNamara

Mike McNamara 是 NetApp 產品和解決方案行銷的資深主管,在資料管理和雲端儲存行銷領域擁有超過 25 年的豐富經驗。在十年前加入 NetApp 之前,Mike 曾任職於 Adaptec、Dell EMC 和 HPE 等公司。Mike 是推出第一方雲端儲存產品和業界第一款雲端連線 AI/ML 解決方案 (NetApp)、統一化橫向擴充和混合雲儲存系統與軟體 (NetApp)、iSCSI 和 SAS 儲存系統與軟體 (Adaptec),以及光纖通道儲存系統 (EMC CLARiiON) 的重要團隊領導者。此外他曾經擔任「光纖通道產業協會 (Fibre Channel Industry Association,FCIA)」的行銷主席,也是乙太網路技術高峰會議顧問委員會、乙太網路聯盟的成員,現在仍定期為業界期刊撰稿,並經常擔任活動講師。Mike 還透過 FriesenPress 出版了一本名為《橫向擴充儲存設備 - 企業資料管理的未來樣貌》的書籍,並被 Kapos 列為值得關注的 50 名 B2B 產品行銷人員。查看 Mike McNamara 的所有文章

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