Data Engineering Resources

How To Validate Three Common Document Types in Python

Learn about three API solutions capable of validating PDF, Excel, and MS Word documents for document validation services in file processing applications.

January 16, 2023

by Brian O'Neill

CORE

· 4,597 Views · 2 Likes

JavaScript Type Conversion and Coercion

The type conversion of variables in JavaScript takes place both manually and explicitly; we just have to write the function name or method manually. Read more.

January 16, 2023

by Bikash Jain

· 3,185 Views · 1 Like

AI, Machine Learning and the Future of Software Development

Every successful interaction between you and your favorite app results from the combined efforts of a QA team.

January 16, 2023

by Syed Hamid

· 3,875 Views · 1 Like

Essential Protocols for Python Developers to Prevent SQL Injection Attacks

Python developers must familiarize themselves with challenges the final application might deal with, including security risks like SQL injection.

January 14, 2023

by Ryan Kh

· 5,685 Views · 1 Like

Leveraging ML-Based Anomaly Detection for 4G Networks Optimization

How the latest technology is helping cellular providers to improve their services.

January 14, 2023

by Oleksandr Stefanovskyi

· 4,301 Views · 1 Like

How to Quarterback Data Incident Response

Incident management isn’t just for software engineers. With the rise of data platforms and the data-as-a-product mentality, building more reliable processes and workflows to handle data quality has emerged as a top concern for data engineers.

January 14, 2023

by Glen Willis

· 4,554 Views · 1 Like

Experience the Future of Communication With GPT-3: Consume GPT-3 API Through MuleSoft

Chatbots can significantly improve how we communicate and interact with technology. Explore the potential of GPT-3 and other language-generation tools.

January 14, 2023

by Mukesh Thakur

· 7,056 Views · 1 Like

Investigating CockroachDB Performance and Stability With 22k Databases and 300k Tables

This tutorial explores the process of testing out a "database per tenant" model in a single CockroachDB cluster.

January 13, 2023

by Morgan Winslow

· 3,356 Views · 1 Like

A Real-Time Supply Chain Control Tower Powered by Kafka

This article explores a real-time supply chain control tower for end-to-end visibility and automation powered by the data streaming platform Apache Kafka.

January 13, 2023

by Kai Wähner

CORE

· 5,149 Views · 4 Likes

Announcing: Stargate 1.0 GA; REST, GraphQL, and Schemaless JSON for Your Cassandra Development

Level up your application development with fast and easy data APIs for the world’s most battle-tested database.

January 13, 2023

by Denise Gosnell

· 4,221 Views · 1 Like

Alternatives to Handsontable and ag-Grid

This article reviews JavaScript UI libraries that can be considered alternatives to ag-Grid and Handsontable to integrate grids and spreadsheets into web apps.

January 13, 2023

by Ivan Petrenko

· 9,095 Views · 3 Likes

BSides SLC: Community, Fun, and Security Best Practices in Salt Lake City

BSidesSLC brought together security experts, developers, and students from all over Utah and beyond. Read the highlights!

January 13, 2023

by Dwayne McDaniel

· 2,550 Views · 1 Like

Distributed Caching on Cloud

In this blog, we will explore distributed caching on the cloud and why it is useful for environments with high data volume and load.

January 13, 2023

by Vishal Padghan

· 4,113 Views · 1 Like

SQL Extensions for Time-Series Data in QuestDB

A short hands-on tutorial on how to use SQL extensions built for time-series data in QuestDB.

January 13, 2023

by Kovid Rathee

· 4,084 Views · 1 Like

AWS Fargate: Deploying Jakarta EE Applications on Serverless Infrastructures

This article demonstrates how to alleviate the Jakarta EE run-times, servers, and applications, by deploying them on AWS Serverless infrastructures.

January 13, 2023

by Nicolas Duminil

CORE

· 7,191 Views · 6 Likes

Accelerating ML Model Inferencing

This article explains how to Balance speed and accuracy for the execution of machine learning models in production.

January 12, 2023

by Kumar Abhishek

· 3,240 Views · 1 Like

Using AI and Machine Learning To Create Software

I started implementing OpenAI into Magic. It took me no more than two days to teach it Hyperlambda to an accuracy of 90%. What does this mean for our industry?

January 12, 2023

by Thomas Hansen

CORE

· 5,213 Views · 2 Likes