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Get started managing partitions for Amazon S3 tables backed by the AWS Glue Data Catalog

AWS Big Data

From the get-partitions , the element “Values” defines the partition value and “Location” defines the S3 path to be queried by the application: "Values": [ "2009-04-12-19-05" ] When querying the data from the partition dt="2009-04-12-19-05" , the application lists and reads only the files in the S3 path s3://us-east-1.elasticmapreduce/samples/hive-ads/tables/impressions/dt="2009-04-12-19-05".

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Blockchain: The Fall of Traditional Centralized Systems in Business & Finance

Smart Data Collective

In the year 2009, a man under the alias of Satoshi Nakamoto invented the first digital currency called bitcoin and initiated the use of blockchains. This is intriguing as the world faces uncertainty from Covid-19, but crypto is not the only investment bringing massive returns to investors.

Finance 138
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How to Follow New OECD Guidance on Transfer Pricing

Jet Global

She added that, for taxpayers, these challenges create increased uncertainty. However, the report advises against using a comparability analysis that draws on information from what happened during the global financial crisis of 2008/2009. For tax administrations, transfer pricing reviews and audits are resource intensive.

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Fact-based Decision-making

Peter James Thomas

By the time that people who need to take decisions based on such information are in the loop, the inherent uncertainty of the prediction may have disappeared. Especially for all Business Analytics professionals out there (2009). [7]. For example: The confluence of BI and change management (2009). This can be problematic.

Metrics 49
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Fitting Bayesian structural time series with the bsts R package

The Unofficial Google Data Science Blog

Many of these models are standard, and can be fit using a variety of tools, such as the StructTS function distributed with base R or one of several R packages for fitting these models (with the dlm package (Petris 2010, Petris, Petrone, and Campagnoli 2009) deserving special mention). Bayesian Analysis 1 , 145–168. Petrone, S., Polson, N.

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Attributing a deep network’s prediction to its input features

The Unofficial Google Data Science Blog

Typically, causal inference in data science is framed in probabilistic terms, where there is statistical uncertainty in the outcomes as well as model uncertainty about the true causal mechanism connecting inputs and outputs. 2009, " Measuring invariances in deep networks ". Technical Report 1341, University of Montreal, 2009.

IT 68
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Guide to Intercompany Transfer Pricing

Jet Global

The company transferred IP value to affiliates between 2007 and 2009. Besides the transition to software, we’re also seeing greater volatility in global events, uncertainty in global trade policies, and corporate challenges. billion transfer pricing of a royalty agreement.