Remove Business Intelligence Remove Data Processing Remove Machine Learning Remove Metadata
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Foote Partners: bonus disparities reveal tech skills most in demand in Q3

CIO Business Intelligence

There were also a host of other non-certified technical skills attracting pay premiums of 17% or more, way above those offered for certifications, and many of them centered on management, methodologies and processes or broad technology categories rather than on particular tools.

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Gartner D&A Summit Bake-Offs Explored Flooding Impact And Reasons for Optimism!

Rita Sallam

The first featured analytics and BI platform Gartner Magic Quadrant leaders while the other showcased high interest data science and machine learning platforms. Here is the link to Alteryx’s Data Science and Machine Learning Bake-Off video. We did two Bake-Offs this year. In 2000, the Netherlands had 8.5

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Enhance your analytics embedding experience with the new Amazon QuickSight JavaScript SDK

AWS Big Data

Amazon QuickSight is a fully managed, cloud-native business intelligence (BI) service that makes it easy to connect to your data, create interactive dashboards and reports, and share these with tens of thousands of users, either within QuickSight or embedded in your application or website.

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Adapting to change on a dime: The absolute necessity of hybrid portability

CIO Business Intelligence

A European Multinational Insurance company deployed CDP both on-prem and on Azure public cloud with Cloudera Data Science Workbench (CDSW) and Cloudera Machine Learning (CML). That means security, governance, and metadata. “Core infrastructure isn’t going anywhere. It’s clear that we need to use the cloud more smartly.

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. Plus, the more mature machine learning (ML) practices place greater emphasis on these kinds of solutions than the less experienced organizations.

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Build a serverless transactional data lake with Apache Iceberg, Amazon EMR Serverless, and Amazon Athena

AWS Big Data

One important feature is to run different workloads such as business intelligence (BI), Machine Learning (ML), Data Science and data exploration, and Change Data Capture (CDC) of transactional data, without having to maintain multiple copies of data. The Iceberg table is synced with the AWS Glue Data Catalog.

Data Lake 102
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Build and share a business capability model with Amazon QuickSight

AWS Big Data

LOB Category Capability Recruitment Manage Applicant Experience Manage Application Activities Process Application Follow-Ups Pursue Automated Leads Sale Service Engage Customer Provide Needs Assessment Tools Provide Service Information After the map is defined and captured, each business capability can be mapped to APIs that are implemented for it.