When data quality issues come to light, you can use table rollback to get back to a known high quality state. Newly generated metadata will then point to source data files as illustrated in the diagram below. With in-place table migration, you can rapidly convert to Iceberg tables since there is no need to regenerate data files. Compute engines in these CDP data services can access and process data sets in the Iceberg tables concurrently, with shared security and governance provided by our unique Cloudera Shared Data Experience ( SDX ). In addition to key data services in CDP, such as Cloudera Data Warehousing ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ) already in use by our customers, we integrated Cloudera Data Flow ( CDF ) and Cloudera Stream Processing ( CSP ) with the Apache Iceberg table format, so that you can seamlessly handle streaming data at scale. The new capabilities of Apache Iceberg in CDP enable you to accelerate multi-cloud open lakehouse implementations. With a common interface in CDP that works across different cloud service providers, you can break down data silos while ensuring consistent security, governance, and traceability, all while seamlessly moving your Apache Iceberg – based workloads across deployment environments frictionlessly. You can leverage Kubernetes (K8s) and containerization technologies to consistently deploy your applications across multiple clouds including AWS, Azure, and Google Cloud, with portability to write once, run anywhere, and move from cloud to cloud with ease. With CDP, customers can deploy storage, compute, and access, all with the freedom offered by the cloud, avoiding vendor lock-in and taking advantage of best-of-breed solutions. According to a recent Gartner survey of public cloud users, 81% of organizations are working with two or more public cloud providers. Multi-cloud capability is now available for Apache Iceberg in CDP. Multi-cloud deployment with CDP public cloud Today, we are thrilled to share some new advancements in Cloudera’s integration of Apache Iceberg in CDP to help accelerate your multi-cloud open data lakehouse implementation. For example, Modak Nabu is helping their enterprise customers accelerate data ingestion, curation, and consumption at petabyte scale. Cloudera partners are also benefiting from Apache Iceberg in CDP. Some features, applications, and services may not be available in all regions or all languages.Since we announced the general availability of Apache Iceberg in Cloudera Data Platform (CDP), Cloudera customers, such as Teranet, have built open lakehouses to future-proof their data platforms for all their analytical workloads. Available in English (Australia, Canada, India, Singapore, UK, U.S.), French (France), German (Germany), Italian (Italy), Japanese (Japan), and Spanish (Mexico, Spain, U.S.).Available on iPad Pro 12.9-inch with Liquid Retina XDR display and Mac computers with Apple silicon.Available in English, Chinese, French, Italian, German, Japanese, Korean, Portuguese, Spanish, and Ukrainian text.Matter accessories require a home hub, such as an Apple TV or HomePod device.Only Apple TV and HomePod are supported as home hubs. Sharing control of your home and receiving Home notifications require a home hub. It requires all Apple devices that access the home to be using the latest software. The new Home architecture is a separate update in the Home app. Available in Cantonese (Hong Kong), English (Australia, Canada, India, UK, U.S.), French (France), German (Germany), Japanese (Japan), Mandarin Chinese (China mainland, Taiwan), and Spanish (Mexico, Spain, U.S.).
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |