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Analytics

High-Performance, Cost-Effective Move to Azure

Cloud migration may be the biggest challenge, and the biggest opportunity, facing IT departments today - especially if you use big data and streaming data technologies, such as Cloudera, Hadoop, Spark, and Kafka. In this 55-minute webinar, Unravel Data product marketer Floyd Smith and Solutions Engineering Director Chris Santiago describe how to move workloads to Azure HDInsights, Databricks, and other destinations on Azure, fast and at the lowest possible cost

Data, The Unsung Hero of the Covid-19 Solution

COVID-19 vaccines from various manufacturers are being approved by more countries, but that doesn’t mean that they will be available at your local pharmacy or mass vaccination centers anytime soon. Creating, scaling-up and manufacturing the vaccine is just the first step, now the world needs to coordinate an incredible and complex supply chain system to deliver more vaccines to more places than ever before.

Six Trends Driving Adoption of Lumada DataOps Suite

Innovative organizations need DataOps and new technologies because old-school data integration is no longer sufficient. The traditional approach creates monolithic, set-in-concrete data pipelines that can’t convert data into insights quickly enough to keep pace with business. The following trends are driving the adoption of Hitachi’s Lumada DataOps Suite.

Introducing real-time data integration for BigQuery with Cloud Data Fusion

Businesses today have a growing demand for real-time data integration, analysis, and action. More often than not, the valuable data driving these actions—transactional and operational data—is stored either on-prem or in public clouds in traditional relational databases that aren’t suitable for continuous analytics.

Continuous model evaluation with BigQuery ML, Stored Procedures, and Cloud Scheduler

Continuous evaluation—the process of ensuring a production machine learning model is still performing well on new data—is an essential part in any ML workflow. Performing continuous evaluation can help you catch model drift, a phenomenon that occurs when the data used to train your model no longer reflects the current environment.

Five Tips to Build a Successful Analytics Dashboard

Keep the bigger picture in mind as you build and use your analytics dashboards. Between devices, websites, applications, online service providers, and platforms of all kinds, modern businesses rarely have a single data source to analyze in our continuously connected world. That’s why how information is presented is almost as important as the quality of the information itself, making the difference between leading with confidence or simply flying blind.

CDP Public Cloud: SSH Key Deployment

This video covers how to deploy SSH keys in CDP Public Cloud. It touches on how to generate a new SSH key pair and steps through the process of deploying it for a workload user through the Cloudera Management Console Web UI, as well as using the CDP command-line tool. It discusses the security implications of using the Cloudbreak user for login on data hub hosts, and explains why workload user credentials should be used instead in most cases. It also demonstrates using the deployed SSH keys for login to data hub hosts.