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Introducing Amazon MWAA larger environment sizes

AWS Big Data

xlarge 8 vCPUs / 24 GB 4 vCPUs / 12 GB 40 tasks (default) Up to 2000 mw1.2xlarge 16 vCPUs / 48 GB 8 vCPUs / 24 GB 80 tasks (default) Up to 4000 With the introduction of these larger environments, your Amazon Aurora metadata database will now use larger, memory-optimized instances powered by AWS Graviton2.

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Rising Tide Rents and Robber Baron Rents

O'Reilly on Data

From 2000 to 2011, the percentage of US adults using the internet had grown from about 60% to nearly 80%. To achieve prosocial outcomes, AI model and application developers need to define the metrics that explicitly aim for those outcomes and then measure and report the extent to which they have been achieved. The market was maturing.

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The history of ESG: A journey towards sustainable investing

IBM Big Data Hub

It refers to a set of metrics used to measure an organization’s environmental and social impact and has become increasingly important in investment decision-making over the years. In response, asset managers began to develop ESG strategies and metrics to measure the environmental and social impact of their investments.

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What transformational leaders too often overlook

CIO Business Intelligence

Executive recruiters working in the Global 2000 will tell you that the “hot ask” of organizations seeking high-end IT leaders today is for “transformational leaders.” Operations is really, really hard, and really, really underappreciated, and really, really poorly understood, until it doesn’t work.”

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Self-Serve Analytics Supports Continuous Improvement!

Smarten

McKinsey recently surveyed 2000 businesses and found that 83% of high-tech/media/telecom, 76% of banking, and more than 50% of consumer companies identified as continuous improvement organizations. There is good reason for these results.

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Amazon DataZone now integrates with AWS Glue Data Quality and external data quality solutions

AWS Big Data

Many organizations already use AWS Glue Data Quality to define and enforce data quality rules on their data, validate data against predefined rules , track data quality metrics, and monitor data quality over time using artificial intelligence (AI). The metrics are saved in Amazon S3 to have a persistent output. onData(df).useRepository(metricsRepository).addCheck(

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The Very Best Digital Metrics For 15 Different Companies!

Occam's Razor

There is no golden metric for everyone, we are all unique snowflakes! :). and tell you what are the best key performance indicators (metrics) for them. In the past I’ve shared a cluster of metrics that small, medium and large businesses can use as a springboard…. If you want to play along. Don’t read what I’ve chosen.

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