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Data Integration — Things to Consider

Towards Data Science

When integrating data from system A to system B, data engineers and other stakeholders should not only focus on the data process, e.g. via ETL/ELT, but also on the source system. What various…

Data Integration: The Definitive Guide

Towards Data Science

This guide on data integration provides a thorough overview of the data integration landscape, describing the various technologies that are available to move data between tools and databases.

The future of data integration

Towards Data Science

Cloud computing, big data, machine learning, data lakes, data warehouses — no doubt, if you’ve been following the tech world you’ve heard these buzz words. These trends and the resulting technologies…...

Big Data Integration

Towards Data Science

Data integration is a set of processes used to retrieve and combine data from disparate sources into meaningful and valuable information. A complete data integration solution delivers trusted data…

Joining Data Sources

Towards Data Science

Most “data science” in the real world involves creating a data set, a visualization, an application that requires pulling and joining data from very different sources to tell a cohesive story. Moving…...

Data Integration Strategies for Time Series Databases

Towards Data Science

Exploring popular data integration strategies for TSDBs including ETL, ELT, and CDC Continue reading on Towards Data Science

Data Integration with Pandas

Towards Data Science

For adhoc data analysis via Jupyter Notebook you often need external data via CSV, Excel or database to process them with Python. Reading the data is relatively easy thanks to the handy Pandas…

UMAP for Data Integration

Towards Data Science

This is the twentieth article from the column Mathematical Statistics and Machine Learning for Life Sciences where I try to explain some mysterious analytical techniques used in Bioinformatics and…

Data wrangling

Towards Data Science

First of all, you have to get your data! This can involve extricating the data you want from a larger dataset. It can involve merging two or more datasets. A dog isn’t just for Christmas, it’s for…

Linked Data: A Framework for Large-Scale Database Integration

Python in Plain English

Data Modeling and Analysis using Semantic Web Technologies Continue reading on Python in Plain English

Want to easily integrate data with python?

Towards Data Science

Picture this: you’re working on a data science project in python with a few peers or coworkers. You haven’t bothered to link the data input or output with a SQL/python database integration, because…

Deep Learning for Data Integration

Towards Data Science

This is the third article in the series Deep Learning for Life Sciences. In the previous two posts, I showed how to use Deep Learning on Ancient DNA and Deep Learning for Single Cell Biology. Now we…