Creating a Faster Cooperative Data Science Workflow with Datameer and Amazon SageMaker

February 2, 2019

If you’re going to do machine learning work right, you’re going to need well-honed data sets to build your models on. It is not just about cleaning up the data. It is also about discovering data that is relevant to the problem at hand, finding more data to increase accuracy, integration data from multiple sources, aggregating values etc. Four of the seven stages in a data science lifecycle involve getting intimate with your data (see image). But in terms of time, these four stages can consume 90% or more of the data science analytic lifecycle.

Spotlight

Qvinci Software

Qvinci is the gold standard provider of cloud financial data consolidation, mapping, reporting, business intelligence and workflow management solutions for the accounting, franchising and multi-unit business markets who use QuickBooks®, Xero® and Excel®. Our patented technology empowers decision-makers and their trusted advisors with secure and automated “ERP-like” functionality at a fraction of the cost and complexity.

OTHER WHITEPAPERS
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Accelerating Data Modernization with Azure

whitePaper | May 18, 2021

Next-gen data operations require next-gen data technologies and strategies and Azure is an ideal platform for this modernization to take place. Download this white paper to better understand the strategies, philosophies, and technologies your organization needs to expand analytics abilities, reduce technical debt, embrace AI, and more.

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Building Data Products: The Ultimate How-To Guide

whitePaper | November 18, 2022

It’s time to treat data like a product, not an afterthought. A new paradigm has emerged among forward-thinking data teams: treat your data like a product. This may sound easy in theory, but it’s far from it! Product development processes have become incredibly sophisticated, with resources dedicated to reliability, adoption, feature roadmaps, and more.

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Are Predictive Analytics Truly Predictive?

whitePaper | April 19, 2023

Unplanned downtime is one of the most significant pain points for industrial manufacturers today, costing them an estimated $50 billion each year. The risk is even greater for process manufacturing, where a critical equipment failure could result in the loss of an entire batch, environmental hazards, or safety risks. The adoption of digital technologies, such as the industrial internet of things (IIoT), promises to mitigate these threats by forecasting equipment failures and catching faults before they lead to unscheduled shutdowns. However, in practice, several challenges arise when maintenance personnel and operations leaders work to implement an IIoT solution aimed at eliminating unplanned downtime.

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Manual Replication of MySQL Database Using MySQL Workbench

whitePaper | December 19, 2022

When an Azure region is not available due to issues at the Datacenter level, this should not affect the availability of data. Hence, database replication is required to avoid data loss at any given point in time. Some Microsoft Azure regions do not support Azure database replication in different regions. (Refer to the image given below) To overcome this, manual replication of MySQL database using MySQL workbench is the only feasible option.

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Self-Service Data Intelligence

whitePaper | September 20, 2022

Self-service is without question no longer an option for successful businesses. Find out how Alation can accelerate data-driven decisions with our Self-Service Data Intelligence white paper.

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Replanteamiento del acceso a las aplicaciones gestión de una fuerza laboral moderna

whitePaper | February 26, 2020

El cambio de paradigma que se está extendiendo por el ámbito tecnológico y empresarial es cada día más evidente. La transición a cloud computing está llegando a su punto de inflexión. Las fusiones y adquisiciones han proliferado. Además, con un número cada vez mayor de usuarios finales que operan fuera del entorno empresarial, los departamentos de TI deben prestar servicio a un ecosistema de usuarios cada vez más diverso, distribuido y exigente

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Spotlight

Qvinci Software

Qvinci is the gold standard provider of cloud financial data consolidation, mapping, reporting, business intelligence and workflow management solutions for the accounting, franchising and multi-unit business markets who use QuickBooks®, Xero® and Excel®. Our patented technology empowers decision-makers and their trusted advisors with secure and automated “ERP-like” functionality at a fraction of the cost and complexity.

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