Palo Alto, CA, USA
Aug 20, 2019 | By Surbhi Kochhar
HBase Customers upgrading to CDH 6 from CDH 5, will also get an HBase upgrade moving from HBase1 to HBase2. Performance is an important aspect customers consider. We measured performance of CDH 5 HBase1 vs CDH 6 HBase2 using YCSB workloads to understand the performance implications of the upgrade on customers doing in-place upgrades (no changes to hardware).
Aug 15, 2019 | By Dinesh Chandrasekhar
Today’s streaming architectures are far more demanding in terms of scale, volume and the urgency for real-time insights. The advent of IoT and other edge related use cases have sprouted a need for a strong backbone in the enterprise architecture that can handle the differing data inflows, outflows and consumption patterns of various applications across the streaming landscape. Over the last few years, Apache Kafka has emerged as that backbone.
Aug 13, 2019 | By Scott Andress
Since the beginning of our respective partnerships with Dell EMC as legacy companies in 2015, both Cloudera and Hortonworks delivered differentiated consolidated data lake solutions to our joint install base of over a hundred customers running Hortonworks Data Platform (HDP) and Cloudera Distribution of Hadoop (CDH) in a shared storage configuration with Dell EMC Isilon.
Aug 5, 2019 | By Bill Havanki
Cloudera Altus Director helps you deploy, scale, and manage Cloudera clusters on AWS, Microsoft Azure, or Google Cloud Platform. Altus Director both enables and enforces the best practices of big data deployments and cloud infrastructure. Altus Director’s enterprise-grade features deliver a mechanism for establishing production-ready clusters in the cloud for big data workloads and applications in a simple, reliable, automated fashion.
Aug 1, 2019 | By Shaun Bierweiler
Data continues to transform the public sector in meaningful and compelling ways. As a vast creator and consumer of data, government agencies have a unique opportunity to revolutionize their decision-making power by utilizing data to the fullest.
Jun 28, 2018 | By Cloudera
Enterprises require fast, cost-efficient solutions to the familiar challenges of engaging customers, reducing risk, and improving operational excellence to stay competitive. The cloud is playing a key role in accelerating time to benefit from new insights. Managed cloud services that automate provisioning, operation, and patching will be critical for enterprises to leverage the full promise of the cloud when it comes to time to value and agility.
Jun 26, 2018 | By Cloudera
The adoption of cloud computing in the financial services sector has grown substantially in the past three years on a global basis. Diversification of risk is always a key concern for financial institutions and the seeming safety of having a single cloud provider is not being properly measured from a systemic risk and operational risk perspective.
Jun 12, 2018 | By Cloudera
This white paper provides a reference architecture for running Enterprise Data Hub on Oracle Cloud Infrastructure. Topics include installation automation, automated configuration and tuning, and best practices for deployment and topology to support security and high availability.
May 17, 2018 | By Cloudera
A cloud-based analytics platform needs to be easy, unified, and enterprise-grade to meet the demands of your business. This white paper covers how Cloudera's machine learning and analytics platform complements popular cloud services like Amazon Web Services (AWS) and Microsoft Azure, and enables customers to organize, process, analyze, and store data at large scale...anywhere.
Jul 30, 2019 | By Cloudera
A smart factory can gather a significant amount of data generated by thousands of sensors embedded in equipment in the manufacturing process. The enabled smart factory optimizes maintenance, anticipates failures and helps make the manufacturing process more efficient.
Jul 16, 2019 | By Cloudera
Cloudera Fast Forward Labs’ latest applied machine learning research report focuses on advancements in Deep Learning for Image Analysis. Research and commercial interest in deep learning has exploded in the last five years, driving remarkable advancements across applications including medical imaging, autonomous vehicles, news and media (including manipulation), and art.
Jul 16, 2019 | By Cloudera
Cloudera Fast Forward Labs’ latest applied machine learning research report is about boosting natural language processing (NLP) with transfer learning. Organizations large and small have volumes of valuable data stored as free-form text yet the scale of data combined with the complexities of language processing makes using it to drive insight and automation a challenge.