December - 201819GOVERNMENT CIO OUTLOOKGovernment's Defense Advanced Research Project Agency (DARPA) and customers include Global 100 companies. In case of a particular project, accessing machine learning analytics through search interfaces was becoming expensive, and the client was on the lookout for a solution that would prompt maximum speed at minimum cost. With Cloudera Search and Impala, the ingestion of data on Hadoop was promisingly efficient in terms of reduced costs, better computational throughput, and reduced complexity of IT support. Moreover, after the phase one build and testing, the project's machine learning fabric was viable with predictive capabilities that were 65 percent accurate in predicting suicide risk among a veteran control group.Cloudera Data Science Workbench is another state-of-the-art platform for collaborative data science at scale. The solution allows data scientists to manage their own analytics pipelines, including built-in scheduling, monitoring, and email alerting. Cloudera Data Science Workbench is secure and compliant by default, with support for full Hadoop authentication, authorization, encryption, and governance. Finally, data scientists can easily access Hadoop data and run Spark queries in a safe environment.Talking about safety, Cloudera integrates the necessary security controls demanded by today's regulatory environments and compliance policies. The firm's cybersecurity solution, based on Apache Spot, enables anomaly detection, behavior analytics, and comprehensive access across all enterprise data using an open, scalable platform. Agencies can now not only increase enterprise visibility but also accelerate threat detection as well as discover advanced threats and abnormal behaviors across endpoints, users, and networks. Keeping in mind that data applications in the cloud are often transient and run on isolated infrastructure Cloudera Shared Data Experience, or SDX, is a powerful framework that mitigates such issues. It simplifies the development and deployment of multi-function applications in the cloud without sacrificing centralized security, governance, and metadata management traditionally associated with on-premises deployments. Available in the cloud as well as managed services, SDX puts data to work when organizations need easy workload management and unified security.Dedicated Support CapabilitiesTo always stay ahead of the curve, the company also has a strong partner ecosystem comprising Accenture and Securonix to support their industry-leading platform. Recently, big data platform heavyweight, Hortonworks joined hands with Cloudera in a $7 billion merger. This collaboration is expected to give the combined entity hundreds of millions in revenue and over 2500 customers. "By bringing together Hortonworks' investments in end-to-end data management with Cloudera's investments in data warehousing and machine learning, we will deliver the industry's first enterprise data cloud from the edge to AI," said Reilly. The company has also teamed with dedicated industry-focused support engineers to keep the public sector Hadoop environment running with confidence. Cloudera offers four levels of government support in every phase, from initial design, deployment, ongoing maintenance, to optimization. Through this service, clients are guaranteed to experience more uptime, quick issue resolution, better performance of mission-critical applications, and faster delivery of features. To help governments hone their big data technology skills, the Cloudera University is a one-of-kind training curriculum that is truly dynamic. Apart from free on demand training on deploying Cloudera Enterprise on Microsoft Azure and other relevant content, they also provide blended learning which is the best of on-demand and instructor-led training, alongside Cloudera security training.In the days to come, one of the next big steps for the company will be to support hybrid software delivery methods, where customers have the freedom to deploy applications to public clouds, on-premise clusters, or a combination of both. Kubernetes and Docker are seen as big answers to part of that question. Giving a peek into Cloudera's future course of action, Reilly says, "To better-position Cloudera for the next evolution of the market--machine learning, analytics, and cloud--we are focusing our innovation and go-to-market initiatives on these high growth areas and the line of business executives responsible for digital transformation." Tom Reilly
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