Remove Data Warehouse Remove Modeling Remove Slice and Dice Remove Unstructured Data
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Why Choose a Hybrid Data Cloud in Financial Services?

Cloudera

Open and extensible to support new clouds, data types and data services. All in a distributed cloud model that spans multi-public, private & edge clouds. . Here, I’ll provide some guidance on key considerations for a hybrid data cloud. What data do I need to achieve these objectives?

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Migration Supporting Real-Time Analytics for Customer Experience Management

Cloudera

Given the prohibitive cost of scaling it, in addition to the new business focus on data science and the need to leverage public cloud services to support future growth and capability roadmap, SMG decided to migrate from the legacy data warehouse to Cloudera’s solution using Hive LLAP. The case for a new Data Warehouse?

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The Data Journey: From Raw Data to Insights

Sisense

They hold structured data from relational databases (rows and columns), semi-structured data ( CSV , logs, XML , JSON ), unstructured data (emails, documents, PDFs), and binary data (images, audio , video). Sisense provides instant access to your cloud data warehouses. Connect tables.