Posts Tagged ‘Technical’

Crossing the Development to Production Divide

In this post we’ll give an overview of obstacles we’ve faced (you may be able to relate) and talk about solutions to overcome these obstacles.

Learning from Imbalanced Classes

For this month’s Throwback Thursday, a post that provides insight and concrete advice on how to tackle imbalanced data.

marbles small files

Handling Small Files in MapR-FS

In this post, we will discuss how dealing with small files is different if you are using MapR-FS rather than the traditional HDFS installation.

JupterCon notebook python

Themes from JupyterCon 2017

This past August was the first JupyterCon—an O’Reilly-sponsored conference around the Jupyter ecosystem, held in NYC. In this post we look at the major themes from the conference, and some top talks from each theme.

Data Ingestion with Spark and Kafka

In this tutorial, we will walk you through some of the basics of using Kafka and Spark to ingest data.

Mind Reading

Mind Reading: Using Artificial Neural Nets to Predict Viewed Image Categories From EEG Readings

Earlier this year, YCombinator-backed startup DeepGram hosted a deep learning hackathon. This post describes the winning project.

Exploratory data analysis in Python

Exploratory Data Analysis in Python

We summarize the objectives and contents of our PyCon tutorial, and then provide instructions for following along so you can begin developing your own EDA skills.

predictive maintenance IoT

Getting Started with Predictive Maintenance Models

In this post, we’ll start to develop an intuition for how to approach the remaining useful life (RUL) estimation problem and take the first steps in modeling RUL.

kafka spark pipelines monitoring alerting

Managing Spark and Kafka Pipelines

In this post, we will cover some of the basics of monitoring and alerting as it relates to data pipelines in general, and Kafka and Spark in particular.