Harness the Power of AND
AND has the power to move you. And the hybrid data cloud will take you there. Any cloud, with any analytics, and any data across your entire business.
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Modern Software Development For Today's Systems & Applications
Announcing CDP Public Cloud Regional Control Plane in Australia and Europe
We’re excited to announce CDP Public Cloud Regional Control Plane in Australia and Europe. This addition will extend CDP Hybrid capabilities to customers in industries with strict data protection requirements by allowing them to govern their data entirely in-region.
Your Parents Still Don't Know What a Hashtag Is. Let's Teach Them the Basics of Machine Learning and Streaming Data
Quite often, the digital natives of the family — you — have to explain to the analog fans of the family what PDFs are, how to use a hashtag, a phone camera, or a remote. Imagine if you had to explain what machine learning is and how to use it. There’s no need to panic. Cloudera produced a series of ebooks — Production Machine Learning For Dummies, Apache NiFi For Dummies, and Apache Flink For Dummies (coming soon) — to help simplify even the most complex tech topics.
How to Turn your Data Center into a True Private Cloud
According to Domo, on average, every human created at least 1.7 MB of data per second in 2020. That’s a lot of data. For enterprises the net result is an intricate data management challenge that’s not about to get any less complex anytime soon. Enterprises need to find a way of getting insights from this vast treasure trove of data into the hands of the people that need it. For relatively low amounts of data, public cloud is a possible path for some organizations.
What is new in Cloudera Streaming Analytics 1.5?
At the end of May, we released the second version of Cloudera SQL Stream Builder (SSB) as part of Cloudera Streaming Analytics (CSA). Among other features, the 1.4 version of CSA surfaced the expressivity of Flink SQL in SQL Stream Builder via adding DDL and Catalog support, and it greatly improved the integration with other Cloudera Data Platform components, for example via enabling stream enrichment from Hive and Kudu.
Accelerate Your Data Mesh in the Cloud with Cloudera Data Engineering and Modak Nabu
Modak, a leading provider of modern data engineering solutions, is now a certified solution partner with Cloudera. Customers can seamlessly automate migration to Cloudera’s cloud-based enterprise platform CDP from on-prem deployments and dynamically auto-scale cloud services with Cloudera Data Engineering (CDE)’s integration with Modak Nabu™.
Admission Control Architecture for Cloudera Data Platform
Apache Impala is a massively parallel in-memory SQL engine supported by Cloudera designed for Analytics and ad hoc queries against data stored in Apache Hive, Apache HBase and Apache Kudu tables. Supporting powerful queries and high levels of concurrency Impala can use significant amounts of cluster resources. In multi-tenant environments this can inadvertently impact adjacent services such as YARN, HBase, and even HDFS.
Processing DICOM Files With Spark on CDP Hybrid Cloud
In this video, you will see how you can use PySpark to process medical images from an MRI and convert them from DICOM format to PNG. The data is read from and written to AWS S3 and we leverage numpy and the pydicom libraries to do the data transformation. We are using data from the "RSNA-MICCAI Brain Tumor Radiogenomic Classification" Kaggle competition but this approach can be used for general purpose DICOM processing.
How Cloudera DataFlow Enables Successful Data Mesh Architectures
In this blog, I will demonstrate the value of Cloudera DataFlow (CDF), the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP), as a Data integration and Democratization fabric. Within the context of a data mesh architecture, I will present industry settings / use cases where the particular architecture is relevant and highlight the business value that it delivers against business and technology areas.
Struggling to Manage your Multi-Tenant Environments? Use Chargeback!
If your organization is using multi-tenant big data clusters (and everyone should be), do you know the usage and cost efficiency of resources in the cluster by tenants? A chargeback or showback model allows IT to determine costs and resource usage by the actual analytic users in the multi-tenant cluster, instead of attributing those to the platform (“overhead’) or IT department. This allows you to know the individual costs per tenant and set limits in order to control overall costs.