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Search Results for: data prep

Machine Learning Data Prep Tips for Time Series Models

By  •  January 27, 2019

In my previous articles Predictive Model Data Prep: An Art and Science and Data Prep Essentials for Automated Machine Learning, I shared foundational data preparation tips to help you successfully …
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Data Prep Essentials for Automated Machine Learning

By  •  November 28, 2017

Data preparation is critical for any analytics, business intelligence or machine learning effort. Although automated machine learning provides safeguards to prevent common mistakes and is robust enough to handle imperfect …
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Self-Service Data Prep Governance

By  •  November 20, 2017

Data-driven organizations that empower everyone with self-service analytics are more vulnerable to classic shadow IT pains – unmanageable data sprawl, reporting inaccuracies, governance, security, regulatory, compliance, and privacy gaps. Don’t …
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Free Trifacta Wrangler Data Prep Gets Much Better

By  •  January 26, 2017

Today super cool, “machine learning” powered data prep vendor Trifacta announced several significant enhancements for the free, community edition of Wrangler. For those of you that are not familiar with this nice …
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Taming the Wild West of Self-Service Data Preparation

By  •  January 23, 2018

The self-service data preparation and analytics movement started with the best of intentions: help make organizations more data-driven, agile and confident in their business decisions. Instead, it’s become a bit …
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Paxata – Next Generation Data Prep

By  •  August 31, 2016

Self-service data prep, data wrangling, data mash up, combining data, vlookups or ETL, this area of the market is heating up despite a lack of consistent terminology. A fascinating collision …
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Datawatch Monarch – Market Leading Self-Service Data Prep

By  •  August 7, 2016

Datawatch invented self-service data prep with Monarch. Twenty years ago Monarch answered the vexing data challenge of the time – unlocking mainframe print spool data for reporting. Over the years …
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Predictive Model Data Prep: An Art and Science

By  •  July 15, 2016

As promised in the Moving Beyond Data Visualization to Predictive Analytics article, I have collected the following predictive modeling data preparation tips for you. My intent is to enlighten and …
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Self-Service ETL, Data Quality, Cleansing, Prep and other Analytic Data Goodies

By  •  April 12, 2013

As promised, I wanted to share some of the options out there that I have been evaluating for self-service ETL, data quality and cleansing. In this post I will briefly …
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Responsible Citizen Data Science. Yes, it is Possible.

By  •  July 9, 2019

To retain market leadership in the algorithm economy, enterprises require new ways to maximize the value of data and AI with citizen data scientists. Don’t think citizen data science is …
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Infoworks Automated Big Data Engineering

By  •  May 14, 2018

Recently I engaged in a guided “hands-on” evaluation of Infoworks, a “no code” big data engineering solution that expedites and automates Hadoop and cloud workflows. Within four hours of logging …
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DataRobot Automated Machine Learning

By  •  May 6, 2018

DataRobot is the world’s most advanced automated machine learning platform. It empowers data analysts and data scientists to rapidly find key insights, hidden data patterns and make better predictions faster. …
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New Tableau Prep, Role-Based Pricing and 2018.1

By  •  April 25, 2018

Classic! On the same day as Qlik’s roadmap keynote and Power BI’s Summit in Ireland, Tableau decides to rain on both of those parades. Tableau stole the thunder yesterday with …
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Gartner Magic Quadrant for Data Science and Machine Learning 2018

By  •  February 27, 2018

Last week the annual Gartner Magic Quadrant for Data Science and Machine-Learning Platforms 2018 was published. The old guard of SAS and IBM has tumbled this year with, Knime and RapidMiner taking …
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How To Create In-Database Machine Learning UDFs

By  •  November 13, 2017

GPU acceleration enables analytics pros, data scientists, and researchers to address some of the world’s most challenging problems up to several orders of magnitude faster than traditional architectures. In previous …
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2017 Data Breach Investigations Summary

By  •  November 9, 2017

Each year Verizon, in conjunction with the VERIS Community Database initiative, releases the annual data breach investigations report. This year’s report is based on analysis of 42,068 security incidents, including …
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Architect Your Customer 360 Data Lake for Today and Tomorrow

By  •  November 3, 2017

Obtaining a 360-degree customer view means having a holistic customer profile record that captures different types of data from across channels and systems, aggregates that data to understand what’s important …
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Google Data Studio

By  •  September 25, 2017

Note: The following is a guest post by a talented peer of mine, Sophie Sachet. I am absolutely thrilled to be working with her. Sophie and I recently teamed up to expand …
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Monetizing Your Valuable Data Assets

By  •  September 19, 2017

A goldmine lurks within your valuable data assets for anyone to start mining. Every organization has raw masses of data stored within systems of record, content management systems, reports, Adobe …
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Why You Need a Data Catalog and How To Select One

By  •  August 30, 2017

In a digital world where data lives everywhere, enterprise data catalogs are an invaluable asset in your information architecture. Over the past two years, I mentioned data catalogs for enhancing …
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