- Data Engineering Technologies 2021 - Sep 21, 2021.
Emerging technologies supporting the field of data engineering are growing at a rapid clip. This curated list includes the most important offerings available in 2021.
Abacus.ai, Dask, Data Engineering, Databricks, Dataiku, DataRobot, dbt, Fivetran, Pachyderm
Leaders, Changes, and Trends in Gartner 2020 Magic Quadrant for Data Science and Machine Learning Platforms - Feb 24, 2020.
The Gartner 2020 Magic Quadrant for Data Science and Machine Learning Platforms has the largest number of leaders ever. We examine the leaders and changes and trends vs previous years.
Alteryx, Data Science Platform, Databricks, Dataiku, DataRobot, Domino, Gartner, Google, H2O, IBM, Knime, Machine Learning, Magic Quadrant, MathWorks, Microsoft Azure, RapidMiner, SAS, TIBCO
Gainers, Losers, and Trends in Gartner 2019 Magic Quadrant for Data Science and Machine Learning Platforms - Feb 11, 2019.
We compare Gartner 2019 MQ for Data Science, Machine Learning Platforms to its previous versions and identify notable changes for leaders and challengers, including RapidMiner, KNIME, TIBCO, Alteryx, Dataiku, SAS, and MathWorks.
Alteryx, Data Science Platform, Dataiku, DataRobot, Gartner, Google, H2O, IBM, Knime, Machine Learning, Magic Quadrant, MathWorks, Microsoft, RapidMiner, SAS, TIBCO
- Self-Service Analytics and Operationalization – Why You Need Both - Nov 12, 2018.
Get the guidebook / whitepaper for a look at how today's top data-driven companies scale their advanced analytics & machine learning efforts.
Analytics, Data Science, Dataiku, Deployment, Self-service
- Build an Anomaly Detection Project [Free Guidebook] - Jun 14, 2018.
Learn how to find value and insight in outliers in the latest anomaly detection guidebook by Dataiku, which includes use cases, and step-by-step guidance (including code samples) to starting an anomaly detection project.
Anomaly Detection, Dataiku, ebook, Free ebook
- 7 Steps of a Data Science PoC – Get The Guidebook - Feb 12, 2018.
Download a free copy of the white paper The 7 Steps to Driving a Successful Data Science POC for a detailed walk-through of the seven steps to running a successful POC.
Data Science, Dataiku, Proof-of-concept, White Paper
- Your guide to predictive analytics in media and entertainment - Nov 13, 2017.
Download your free guide to predictive analytics in media and entertainment for a look at the landscape and use cases, from Dataiku.
Dataiku, Entertainment, Free ebook, Media
Making Predictive Models Robust: Holdout vs Cross-Validation - Aug 11, 2017.
The validation step helps you find the best parameters for your predictive model and prevent overfitting. We examine pros and cons of two popular validation strategies: the hold-out strategy and k-fold.
Cross-validation, Dataiku, Overfitting
- Free Guidebook: Build a Complete Predictive Maintenance Strategy - Jul 18, 2017.
Learn how predictive maintenance differs from and better than traditional one; Use cases and potential data sources; and next steps for getting started.
Dataiku, Free ebook, Predictive Maintenance
- Your Checklist to Get Data Science Implemented in Production - Jun 7, 2017.
For over a year we surveyed thousands of companies from all types of industries and data science advancement on how they managed to overcome these difficulties and analyzed the results. Here are the key things to keep in mind when you're working on your design-to-production pipeline.
Checklist, Data Science, Dataiku, Production
- Dataiku: The Complete Data Sheet - Apr 20, 2017.
Whether your every day tool is Scala, Python, R, or Excel, you can now use one tool - Dataiku - to transform raw data to predictions without the hassle. Discover the platform!
Automated Data Science, Data Science Platform, Data Workflow, Dataiku
- The Evolution of a Productive Data Team - Apr 11, 2017.
Successful data teams at companies of any size are able to produce results because they develop gradually through a series of stages and acquire skills along the way that help them stay efficient and effective.
Data Science Team, Dataiku
Getting Up Close and Personal with Algorithms - Mar 21, 2017.
We've put together a brief summary of the top algorithms used in predictive analysis, which you can see just below. Read to learn more about Linear Regression, Logistic Regression, Decision Trees, Random Forests, Gradient Boosting, and more.
Algorithms, Dataiku, Decision Trees, Gradient Boosting, Linear Regression, Logistic Regression, random forests algorithm
- Dataiku DSS 3.1 – Now with 5 ML Backends & Scala! - Aug 1, 2016.
Introducing Dataiku DSS 3.1, with new visual machine learning engines that allow users to create incredibly powerful predictive applications within a code-free interface.
Data Science, Dataiku, Machine Learning, Scala
- Interview: Florian Douetteau, Dataiku Founder, on Empowering Data Scientists - Jul 7, 2016.
Here is an interview with Florian Douetteau, founder of Dataiku, on how their tools empower data scientists, and how data science itself is evolving.
Ajay Ohri, API, Data Science Tools, Dataiku, Florian Douetteau, Python, R
- Dataiku Data Science Studio – intuitive solution for data professionals - Jul 8, 2015.
Data Science Studio (DSS) from Dataiku is an intuitive software solution that let data professionals harness the power of big data. The latest version DSS 2.0 brings predictive analytics to a whole new level in terms of collaboration and usability.
Data Science Platform, Dataiku
- Dataiku Data Science Studio - Aug 26, 2014.
Data Science Studio (DSS) from Dataiku is a complete Data Science software tool for developers and analysts,
which significantly shortens the time-consuming load-clean-train-test-deploy cycles of building predictive applications.
A community edition and a free trial available.
Data Mining Software, Data Preparation, Data Science, Dataiku, Florian Douetteau, Prediction
