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A Serverless Query Engine from Spare Parts

Towards Data Science

An open-source implementation of a Data Lake with DuckDB and AWS Lambdas A duck in the cloud. Photo by László Glatz on Unsplash In this post we will show how to build a simple end-to-end application in the cloud on a serverless infrastructure. The infrastructure often gets in the way though. The cloud is better.

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HCL Hadoop Interview Questions

ProjectPro

billion USD, 95000 professionals across diverse nationalities in 31 countries- India’s original IT garage startup, HCL, uses a data driven methodology to migrate ETL jobs into corresponding hadoop jobs. HCL has adopted hadoop as a viable alternative to reduce cost and speed up processing. With an annual revenue of $6.5

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Recap of Hadoop News for February 2017

ProjectPro

News on Hadoop-February 2017 Big data brings breast cancer research forwards by 'decades'. Researchers analysed data of more than 28000 different genes and millions of images of 300,000 breast cancer cells and found that any cell shape changes caused by physical pressures on the tumours are converted into gene activity.

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Addressing the Three Scalability Challenges in Modern Data Platforms

Cloudera

In addition, data pipelines include more and more stages, thus making it difficult for data engineers to compile, manage, and troubleshoot those analytical workloads. CRM platforms). benchmarking study conducted by independent 3rd party ).

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The Evolution of Table Formats

Monte Carlo

The “legacy” table formats The data landscape has evolved so quickly that table formats pioneered within the last 25 years are already achieving “legacy” status. It was designed to support high-volume data exchange and compatibility across different system versions, which is essential for streaming architectures such as Apache Kafka.

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Why Real-Time Analytics Requires Both the Flexibility of NoSQL and Strict Schemas of SQL Systems

Rockset

After much internal debate, our team agreed to store every user event in Hadoop using a timestamp in a column named time_spent that had a resolution of a second. After debuting Project Nectar, we presented it to a new set of application developers. Take the Hive analytics database that is part of the Hadoop stack.

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Cross-Functional Trade Surveillance

Cloudera

However, in this case, that output is ingested into a data lake. Instead of each group’s tools acting on the output in isolation, they leverage a common visual analytics platform that is native to the lake and uses all of the data without moving it to a separate server. Going Forward: Improved Economics.