dataflow analytics blog – Data Orchestration, Automation and Analytics

Error Handling Options in Composable

Published May 10, 2019 by Eric Lew

Composable strives to replicate the concepts of coding via a UI, and to further that goal, we added feature that allow the user to react to errors. There are three…

Welcome to Composable 2.0

Published January 2, 2019 by Ryan O'Shea

Welcome to Composable 2.0

As we dive into 2019, we’d like to tell you about one of the Composable team’s proudest accomplishments from the last year — the launch of Composable Enterprise 2.0. In…

Progress Metrics for DataFlows

Published January 2, 2019 by Mark Sherer

Composable has recently added progress-tracking features, including progress metrics and animations. Both of these aim to elucidated DataFlow execution by showing the modules that are currently executing and highlighting potential…

Code Reuse and Modularity in Composable

Published January 2, 2019 by Lars Fiedler

Composable provides special mechanisms for managing complexity of dataflows. Specifically, Composable allows you to reuse parts of your dataflow by encapsulating them as stand-alone custom modules. When developing your dataflow…

DataOps: Straightforward Data Migration

Published December 31, 2018 by Lars Fiedler

Business use cases sometimes demand the orchestration or migration of data from one Relational Database Management System (RDBMS) to another. For example, moving data from MySQL to Oracle, or from…

WIX: Scheduling a custom database upgrade to happen After=”InstallSqlData” and Before=”StartServices”

Published October 24, 2018 by Lars Fiedler

At Composable, we develop MSIs for deploying and upgrading instances of the Composable platform. Anytime we want to update an instance, we just simply double click on the latest Composable…

Correcting Pesky Timezones in a DataFlow

Published June 21, 2018 by Ryan O'Shea

Anyone who works with lots of data can attest that dealing with time and timezones can be tricky business. At Composable, we orchestrate millions of pieces of date/time data through…

KDnuggets

Can Edge Analytics Become a Game Changer?

Edge analytics is considered to be the future of sensor handling, and this article discusses its benefits and architecture of modern edge devices, gateways, and sensors. Deep Learning for edge analytics is also considered along with a review of experiments in human and chess figure detection using edge devices.

The Big Bad NLP Database: Access Nearly 300 Datasets

Check out this database of nearly 300 freely-accessible NLP datasets, curated from around the internet.

Hands on Hyperparameter Tuning with Keras Tuner

Or how hyperparameter tuning with Keras Tuner can boost your object classification network's accuracy by 10%.

Decision Tree Intuition: From Concept to Application

While the use of Decision Trees in machine learning has been around for awhile, the technique remains powerful and popular. This guide first provides an introductory understanding of the method and then shows you how to construct a decision tree, calculate important analysis parameters, and plot the resulting tree.

New Poll: When Will AutoML Replace Data Scientists (if ever)?

Take part in the latest KDnuggets poll by weighing in on when you think AutoML and Automated Data Science will replace humans — if ever.

Introducing fastpages: An easy to use blogging platform with extra features for Jupyter Notebooks

This article introduces the easy to use blogging platform fastpages. fastpages relies on Github pages for hosting, and Github Actions to automate the creation of your blog, and contains extra features for Jupyter Notebooks.

Top KDnuggets tweets, Feb 19-25: 9 lessons learned during my first year as a #DataScientist

Also The Next Decade in #AI: Four Steps Towards Robust #ArtificialIntelligence; Perl, yes, but will R be dead by 2030? #rstats Programming Languages You Won’t Use by 2030; Will AutoML eliminated Data Scientists? Let's do some tests to find out...Leaders, Changes, and Trends in Gartner 2020 #MagicQuadrant for #DataScience

Data Science Curriculum for self-study

Are you asking the question, "how do I become a Data Scientist?" This list recommends the best essential topics to gain an introductory understanding for getting started in the field. After learning these basics, keep in mind that doing real data science projects through internships or competitions is crucial to acquiring the core skills necessary […]

Image Recognition and Object Detection in Retail

“According to Gartner, by 2020, 85% of customer interactions in the retail industry will be managed by AI.”

Python and R Courses for Data Science

Since Python and R are a must for today's data scientists, continuous learning is paramount. Online courses are arguably the best and most flexible way to upskill throughout ones career.