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Cloudera Operational Database (COD) Performance Benchmarking: Comparing HDFS and Cloud Storage

Cloudera

Powered by Apache HBase and Apache Phoenix, COD ships out of the box with Cloudera Data Platform (CDP) in the public cloud. It’s also multi-cloud ready to meet your business where it is today, whether AWS, Microsoft Azure, or GCP. We tested for two cloud storages, AWS S3 and Azure ABFS. runtime version.

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How Start Ups Can Benefit From Cloud Computing?

Knowledge Hut

While cloud computing is pushing the boundaries of science and innovation into a new realm, it is also laying the foundation for a new wave of business start ups. 5 Reasons Your Startup Should Switch To Cloud Storage Immediately 1) Cost-effective Probably the strongest argument in cloud’s favor I is the cost-effectiveness that it offers.

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Build an Open Data Lakehouse with Iceberg Tables, Now in Public Preview

Snowflake

With this public preview, those external catalog options are either “GLUE”, where Snowflake can retrieve table metadata snapshots from AWS Glue Data Catalog, or “OBJECT_STORE”, where Snowflake retrieves metadata snapshots directly from the specified cloud storage location. With these three options, which one should you use?

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Aaand the New NiFi Champion is…

Cloudera

This blog is to congratulate our winner and review the top submissions. RK built some simple flows to pull streaming data into Google Cloud Storage and Snowflake. On May 3, 2023, Cloudera kicked off a contest called “Best in Flow” for NiFi developers to compete to build the best data pipelines. Congratulations Vince!

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Cloud Migration- Process, Types, and Strategy

Hevo

Local storage cannot store huge volumes of data, so a transition from on-premises to cloud storage is needed. In this blog, I […] As data is growing more rapidly than ever, analyzing the data is becoming even more important for business profitability.

Cloud 40
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Top 10 Data Science Websites to learn More

Knowledge Hut

File systems can store small datasets, while computer clusters or cloud storage keeps larger datasets. The designer must decide and understand the data storage, and inter-relation of data elements. It offers various blogs based on above mentioned technology in alphabetical order.

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Data Engineering Weekly #151

Data Engineering Weekly

Github writes an excellent blog to capture the current state of the LLM integration architecture. The blog is an excellent read to understand late-arriving data, backfilling, and incremental processing complications. I experienced similar drawbacks to what Lyft is talking about in Druid.