Numerous customers are deploying these solutions every day on Azure, and both solutions can be found in the Azure Marketplace. But what I actually want is some sort of real time visualization/graphs of this data. As you may already know, Tableau’s Server is acclaimed for self-service data visualization and collaboration, whereas Cloudera’s Enterprise Data Hub (CDH) framework provides robust data management and processing. For more information, see Cloudera … CDP Operational Database and CDP Data Visualization are in technical preview and are expected to be generally available later this year. Table 3 shows the major software components that constitute Cloudera Runtime 7.1.1 for CDP Data Center, along with a brief description of each. With its new CDP Data Visualization component, "business teams and decision makers can consume data insights and make trusted, well informed business decisions," the company blurb says, ignoring the fact that Tableau helped establish this market so well that a year ago Salesforce snapped it up for a cool $15.7bn. These complement a new operational database, also announced today, and covered in depth by Tony Baer in a separate post. It includes some lightweight visualization features, but nothing as robust as you would get from Tableau or Zoomdata. Cloudera CDH comes with a Hadoop ecosystem component called Hue, which is basically a GUI for doing various types of exploration on Hadoop data (SQL queries, natural-lang search, etc.). “We are thrilled to have the DataPad team join Cloudera and Cloudera Docs. A mapbox heatmap in Cloudera Data Visualization. Cloudera Data Visualization allows easy augmentation as the business needs change, and a common “language” for data users across the organization to use. Numerous customers are deploying these solutions every day on Azure, and both solutions can be found in the Azure Marketplace. Resource. It has been speculated that the acquisition is a bid to obtain Datapad’s workforce which specializes in data analysis on Python, rather than just its technology. It includes some lightweight visualization features but does not provide as much functionality as you would get from Tableau or Zoomdata. The web interface of Data Visualization has three views: Home, Visuals, and Data. Cloudera delivers the modern data management and analytics platform built on Apache Hadoop and the latest open source technologies. According to Doug Henschen, an analyst at Constellation Research, Cloudera makes a good case for the breadth and depth of capabilities it can deliver without the heavy lifting of knitting together multiple point solutions, like databases, analytics environments and streaming tools. Cloudera Data Visualization is built on three simple constructs: Data connections – Allows you to set up connections to any and all supported compute engines, be it SQL (Impala, Hive, MySQL), events and time series data (Druid or Impala over Kudu), unstructured data (Solr), or ML workloads (Spark et al), whatever you prefer. Let's start with Excel and Hive. Impala, part of Cloudera Distribution Including Apache Hadoop (CDH) 4.1, is a native SQL query engine that runs on Hadoop clusters, providing easy query access to raw HDFS data and to HBase databases. Key features of Cloudera include data capture, campaign management, audience segmentation, predictive analytics, data cleansing, high volume processing, data warehousing, and data visualization. The stored data can be analyzed in the terminal using Spark. The world’s leading organizations trust Cloudera to help solve their most challenging business problems with Cloudera Enterprise, the fastest, easiest and most secure data platform available for the modern world. At Cloudera, we believe that data can make what is impossible today, possible tomorrow. About Cloudera. There are many options. The new services, which Cloudera refers to as ‘analytic experiences’ are designed for data specialists like data engineers, analysts, and scientists. Can Somebody suggest a better open source tool which does the same functionality as attivio. Separate post features, but nothing as robust as you would get from Tableau Zoomdata... 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