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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. This article was published as a part of the Data Science Blogathon Introduction Google’s BigQuery is an enterprise-grade cloud-native data warehouse.

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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). Hive, founded by Facebook and later Apache, is a data storage system created for the purpose of analyzing structured data. Introduced to […]. The post Everything About Apache Hive and its Advantages!

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Broadcast Media is Finally Embracing AI

Corinium

Netflix’s recommendation engine may have made waves when the company’s streaming platform launched in 2010. But in the years that followed, the broadcast industry was surprisingly slow to adopt other AI or machine learning (ML) technologies.

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7 Resources to Becoming a Data Engineer

KDnuggets

An estimated 8,650% growth of the volume of Data to 175 zetabytes from 2010 to 2025 has created an enormous need for Data Engineers to build an organization's big data platform to be fast, efficient and scalable.

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How to Create Unique Customer Journeys to Optimize Business Outcomes

Speaker: Shawn Phillips, CCXP, Head of Growth and Innovation

A one-size-fits-all approach is a great approach – if it’s 2010. With the growth of AI, customers expect – and often demand – a customer journey based on their unique needs and history with your brand.

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Troubleshooting Excel PowerPivot Update

Jet Global

If using Excel 2010 check that the Power SQL Excel Addin is installed and enabled (both in Excel and Power Update Options) If it’s a temporary / intermittent issue during refreshing connections, set the Retry Count and Retry wait settings in the Advanced Settings page of the task wizard (e.g. Excel 2013 is 1.8, Excel 2013 is 1.9)

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Real-Time Big Data Analytics

TDAN

From 2010 to 2020, there has been a 5000% growth in the quantity of data created, captured, and […] Businesses today rely on real-time big data analytics to handle the vast and complex clusters of datasets. Here’s the state of big data today: The forecasted market value of big data will reach $650 billion by 2029.