Remove 2015 Remove Data Warehouse Remove Marketing Remove Metadata
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10 Years Later: Who’s the GOAT of Data Catalogs?

Alation

Like sports, vendors enjoy healthy competition and often find themselves in highly contested markets with several viable opponents, both big and small. These select athletes are determined by what the “market” is saying – this includes fans, analysts, and the press. January 2015: Alation acquires its first customer.

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Use Amazon Athena with Spark SQL for your open-source transactional table formats

AWS Big Data

These formats enable ACID (atomicity, consistency, isolation, durability) transactions, upserts, and deletes, and advanced features such as time travel and snapshots that were previously only available in data warehouses. The output will give a count of the number of data and metadata files deleted.

Snapshot 101
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The Very Group adopts a data catalog to better organize and leverage its online retail capabilities

CIO Business Intelligence

It launched its first online-only brand, Very, in 2009 and finally abandoned its printed catalogs to go all-in online in 2015. He found a rich collection of data assets, including information on over 2.2 As a result, Pimblett now runs the organization’s data warehouse, analytics, and business intelligence.

IT 98
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A Few 2016 Technology Predictions

In(tegrate) the Clouds

Merv Adrian (@merv) December 19, 2015. What is the most important news item about a software company that occurred in 2015 that belongs in the capsule, and why? The resurgence of Microsoft as a cloud company was big news in 2015. Who was the biggest tech disruptor in 2015? 2016 will be the year of the data lake.

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How SumUp made digital analytics more accessible using AWS Glue

AWS Big Data

Founded in 2012, SumUp is the financial partner for more than 4 million small merchants in over 35 markets worldwide, helping them start, run and grow their business. Unless, of course, the rest of their data also resides in the Google Cloud. She has been focusing on Digital Analytics and marketing data in the past.

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How Amazon Devices scaled and optimized real-time demand and supply forecasts using serverless analytics

AWS Big Data

Every day, Amazon devices process and analyze billions of transactions from global shipping, inventory, capacity, supply, sales, marketing, producers, and customer service teams. This data is used in procuring devices’ inventory to meet Amazon customers’ demands. We also used AWS Lambda for data processing.