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

AWS Big Data

Doing it before risks unnecessary aggregation overhead because each value is likely unique anyway and that step will not result in an earlier reduction in the amount of data transferred between intermediate stages. Grouping after joining means a large number of records have to participate the join before being aggregated.

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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? This post will dive deeper into the nuances of each field.

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A brief history of cryptography: Sending secret messages throughout time

IBM Big Data Hub

2001: Responding to advancements in computing power, the DES was replaced by the more robust Advanced Encryption Standard (AES) encryption algorithm. From symmetric to asymmetric cryptography, to hash functions and beyond, ensure data and mainframe security with end-to-end encryption tailor-made to meet your business needs.

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

It includes perspectives about current issues, themes, vendors, and products for data governance. My interest in data governance (DG) began with the recent industry surveys by O’Reilly Media about enterprise adoption of “ABC” (AI, Big Data, Cloud). We keep feeding the monster data. a second priority?at

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Data Science, Past & Future

Domino Data Lab

By virtue of that, if you take those log files of customers interactions, you aggregate them, then you take that aggregated data, run machine learning models on them, you can produce data products that you feed back into your web apps, and then you get this kind of effect in business. That was the origin of big data.

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IT leaders adjust budget priorities as economic outlook shifts

CIO Business Intelligence

Security tops the list According to this year’s State of the CIO survey , cybersecurity and risk management are the top investment areas for 45% of IT leader respondents. Focus on risk management, he advises, and “have a little faith in your CFO and CEO. Budgeting, IT Leadership, IT Strategy.

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Themes and Conferences per Pacoid, Episode 12

Domino Data Lab

Consider the following timeline: 2001 – Physics grad students are getting hired in quantity by hedge funds to work on Wall St. to join data science teams, e.g., to support advertising, social networks, gaming, and so on—I hired more than a few. 2018 – Global reckoning about data governance, aka “Oops! Or something.