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Directory Tables : Access Unstructured Data

Cloudyard

Read Time: 2 Minute, 30 Second For instance, Consider a scenario where we have unstructured data in our cloud storage. Therefore, As per the requirement, Business users wants to download the files from cloud storage. But due to compliance issue, users were not authorized to login to the cloud provider.

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Migrate Hive data from CDH to CDP public cloud

Cloudera

Many Cloudera customers are making the transition from being completely on-prem to cloud by either backing up their data in the cloud, or running multi-functional analytics on CDP Public cloud in AWS or Azure. Configure the required ports to enable connectivity from CDH to CDP Public Cloud (see docs for details).

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A Cost-Effective Data Warehouse Solution in CDP Public Cloud – Part1

Cloudera

Today, more and more customers are moving workloads to the public cloud for business agility where cost-saving and management are key considerations. Cloud object storage is used as the main persistent storage layer, which is significantly cheaper than block volumes. The Cost-Effective Data Warehouse Architecture.

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ThoughtSpot Sage: data security with large language models

ThoughtSpot

Architecture Let's start with the big picture and tackle how we adjusted our cloud architecture with additional internal and external interfaces to integrate LLM. This multi-tenant service isolates the tenant metadata index, authorizing and filtering the search answer requests from every tenant.

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Cost Conscious Data Warehousing with Cloudera Data Platform

Cloudera

Why worry about costs with cloud-native data warehousing? Have you been burned by the unexpected costs of a cloud data warehouse? If so, you know about the failed economics of some cloud-native solutions on the market today. If not, before adopting a cloud data warehouse, consider the true costs of a cloud-native data warehouse.

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Top Data Lake Vendors (Quick Reference Guide)

Monte Carlo

However, one of the biggest trends in data lake technologies, and a capability to evaluate carefully, is the addition of more structured metadata creating “lakehouse” architecture. Notice how Snowflake dutifully avoids (what may be a false) dichotomy by simply calling themselves a “data cloud.” It works in both directions.

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Spotlight: Managing Storage, Reducing Costs

Ascend.io

But as we described in our February update, the location for interim storage in intelligent pipelines is determined by the data cloud accounts to which you connect an Ascend data service. Start Your Pipeline with Pre-Loaded Data Sometimes, your data pipeline starts with data that is already located in a table in your data cloud.