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Google BigQuery Architecture for Data Engineers

Analytics Vidhya

BigQuery was first launched as a service in 2010, with general availability in November 2011. Since its inception, BigQuery has evolved into a more economical and fully managed data warehouse that can run lightning-fast […]. The post Google BigQuery Architecture for Data Engineers appeared first on Analytics Vidhya.

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A Detailed Guide of Interview Questions on Apache Kafka

Analytics Vidhya

Introduction Apache Kafka is an open-source publish-subscribe messaging application initially developed by LinkedIn in early 2011. It is a famous Scala-coded data processing tool that offers low latency, extensive throughput, and a unified platform to handle the data in real-time.

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Video auto-dubbing using Amazon Translate, Amazon Bedrock, and Amazon Polly

AWS Machine Learning Blog

in Mechanical Engineering from the University of Notre Dame. Max Goff is a data scientist/data engineer with over 30 years of software development experience. Cloud Engineer specializing in developing cloud native solutions and automation. Yaoqi Zhang is a Senior Big Data Engineer at Mission Cloud.

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Improving air quality with generative AI

AWS Machine Learning Blog

This happens only when a new data format is detected to avoid overburdening scarce Afri-SET resources. Having a human-in-the-loop to validate each data transformation step is optional. Automatic code generation reduces data engineering work from months to days.

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Big Data – Lambda or Kappa Architecture?

Data Science Blog

In the realm of Big Data, there are two prominent architectural concepts that perplex companies embarking on the construction or restructuring of their Big Data platform: Lambda architecture or Kappa architecture. Thus, it is crucial for such companies to contemplate and decide which architectural approach best aligns with their goals.

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Quan Sun on finishing in second place in Predict Grant Applications

Kaggle

Based on the information and assumptions above, I decided to mainly use data points from 2007 and 2008 for training my classifiers, which turns out to be a reasonable choice. What tools I used Software/Tools used for modelling and data analysis: Weka 3.7.1 Originally published at b log.kaggle.com on February 22, 2011.

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Use streaming ingestion with Amazon SageMaker Feature Store and Amazon MSK to make ML-backed decisions in near-real time

AWS Machine Learning Blog

It’s easy to learn Flink if you have ever worked with a database or SQL-like system by remaining ANSI-SQL 2011 compliant. Apart from SQL, we can build Java and Scala applications in Amazon Kinesis Data Analytics using open-source libraries based on Apache Flink. Prabhakar holds six AWS and six other professional certifications.

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