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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. The post Google BigQuery Architecture for Data Engineers appeared first on Analytics Vidhya. Since its inception, BigQuery has evolved into a more economical and fully managed data warehouse that can run lightning-fast […].

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Everything About Apache Hive and its Advantages!

Analytics Vidhya

Operating under an open-source data platform called Hadoop, Apache Hive is a software application released in 2010 (October). appeared first on Analytics Vidhya. Hive, founded by Facebook and later Apache, is a data storage system created for the purpose of analyzing structured data. Introduced to […].

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Introducing generative AI upgrades for Apache Spark in AWS Glue (preview)

AWS Big Data

Organizations run millions of Apache Spark applications each month on AWS, moving, processing, and preparing data for analytics and machine learning. This new capability reduces the time data engineers spend on modernizing their Spark applications, allowing them to focus on building new data pipelines and getting valuable analytics faster.

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Magnificent Mobile Website And App Analytics: Reports, Metrics, How-to!

Occam's Razor

In blue is how much time we spent in 2010 and in blue the time spent in 2014. was the dramatic shift between 2010 to 2014 to mobile content consumption. Remember, when someone says mobile analytics, first ask the clarifying question: Do you mean mobile application or mobile website ? What was surprising, even to me (!),

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Web Analytics 101: Definitions: Goals, Metrics, KPIs, Dimensions, Targets

Occam's Razor

" "What is a dimension in analytics?" There seems to be genuine confusion about the simplest, most foundational, parts of web metrics / analytics. The post will end with a Web Analytics Measurement Framework. It is possible that some Analytics Tool Goals directly measure your business objectives or goals.

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Excellent Analytics Tips #20: Measuring Digital "Brand Strength"

Occam's Razor

A lot of digital analytics focuses on direct response (conversions, leads, etc.). But there is an additional valuable, and sexy, focus of our marketing we don't give enough analytical love: Branding! Bonus One: Read: Brand Measurement: Analytics & Metrics for Branding Campaigns ].

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Reflecting on the Past Decade in Analytics

DataRobot Blog

From what I can remember, in-memory analytics, mobile BI, OLAP cubes and easier to use drag-and-drop analytics tools got all the buzz. by Jen Underwood. What was hot and what was not? Read More.

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