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Speed up queries with the cost-based optimizer in Amazon Athena

AWS Big Data

Amazon Athena is a serverless, interactive analytics service built on open source frameworks, supporting open table file formats. Starting today, the Athena SQL engine uses a cost-based optimizer (CBO), a new feature that uses table and column statistics stored in the AWS Glue Data Catalog as part of the table’s metadata.

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Email Marketers Use Data Analytics for Optimal Customer Segmentation

Smart Data Collective

Behavioral Information includes understanding the audience’s interest and interaction with your email. Since its inception in 2001, Mailchimp has had more than two decades of expertise in email marketing for millions of subscribers. How do data influence your email marketing campaigns? Most email marketers utilize behavior analysis.

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How Digital Native & Cloud Native Will Influence FP&A

Jedox

First used in 2001, digital native has most commonly been used to describe individuals who grew up using computers. Microservices are generally smaller elements of functionality that interact with other functionalities within a larger system via well-defined set of application programming interfaces (API). The Jedox Cloud.

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Huawei’s 20-year journey in Malaysia

CIO Business Intelligence

Huawei’s foray into the country began in 2001. Calls to bridge the digital divide have also become more urgent, especially to promote remote interactions and business activities, conducted through digital platforms and technologies. Huawei is fully committed to creating value for the communities and markets in which it operates.

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Generate security insights from Amazon Security Lake data using Amazon OpenSearch Ingestion

AWS Big Data

Amazon Security Lake centralizes access and management of your security data by aggregating security event logs from AWS environments, other cloud providers, on premise infrastructure, and other software as a service (SaaS) solutions.

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Data Science, Past & Future

Domino Data Lab

Then software adapts. Software is reactive to what happens in hardware in a lot of ways. Software evolves, new kinds of abstraction layers. The problems down in the mature bucket, those are optimizations, they aren’t showstoppers. I can point to the year 2001. Key highlights from the session include.

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Data Science at The New York Times

Domino Data Lab

In 2001, Bill Cleveland writes this article saying, “You are doing it wrong.” Here is a picture of The New York Times on its birthday in 1851, and for the vast majority of its lifespan this is pretty much what the user experience of interacting with The New York Times looks like. Editors can interact with this bot.