Flatfile

By leveraging Integration Broker, Application Engine, and modern middleware, enterprises can implement both real-time and batch integrations.

Integrating PeopleSoft FSCM With External Systems For Data Automation

Sam Green of Cambrian Network on powering AI-driven DeFi with verifiable blockchain data for real-time, agentic financial systems.

How Cambrian Network Is Powering the Future of AI-Driven DeFi

COBOL implementation of Apache Kafka and Iceberg.

Announcing the COBOL Streamhouse

Spring Batch is a powerful module of the Spring framework that provides out-of-the-box implementation for batch processing tasks.

How to Import CSV Data Into PostgreSQL Using Spring Boot Batch

To cover our bases, we needed to improve and expand our documentation and this time, we wanted to make it scalable with Docusaurus.

How We Built Our Software Documentation On Docusaurus

Still relying on overnight processes to drive your decision making? Maybe it’s time to consider an evaluation of your CDC pattern that uses new technology.

How To Use Change Data Capture for Fraud Detection

In this hiring climate, you need to *differentiate* to attract candidates.

Rethinking the Hiring Process: How to to Stand Out and Delight Your Candidates

The new Markdown editor marks TagSpaces down as one of the best no-cloud offline note-taking apps for privacy-focused users.

Markdown and Privacy-Focused Note Taking are the Perfect Match

From launching ad by tag niche marketing, to hiring more editors, and tech company news pages rollout, this is what Hacker Noon has been up to during Q4 2020.

State of the Noonion Q4: Ad By Tag, Tech Company News Pages, and More

This is the third article documenting what I’ve learned from a series of 10 Trailhead Live video sessions on Modern App Development on Salesforce and Heroku. 

Data Modeling in Salesforce and Heroku Data Services 

It may be a requirement of your business to move a good amount of data periodically from one public cloud to another. More specifically, you may face mandates requiring a multi-cloud solution. This article covers one approach to automate data replication from AWS S3 Bucket to Microsoft Azure Blob Storage container using Amazon S3 Inventory, Amazon S3 Batch Operations, Fargate, and AzCopy.

Automated Data Replication From AWS S3 To Microsoft Azure Storage Made Easy

Designing a data pipeline comes with its own set of problems. Take lambda architecture for example. In the batch layer, if data somewhere in the past is incorrect, you’d have to run the computation function on the whole (possibly terabytes large) dataset, the result of which would be absorbed in serving layer and are reflected. 

Data Pipelines and Expiring Dictionaries

When Helical Insight first announced a couple of years ago that they were releasing an Open Source Business Intelligence (BI) tool, it really caught my interest and I reached out to founder Nikhilesh Tiwari to find out more about what he was doing. I spent a little time with the product and really liked where it was going and was determined to do more of a deep dive in the future, and with their release of version 3.0, that time is now.

Deep Dive Into Open Source BI Tool Helical Insight

Big data is a big problem, at least getting anything useful out of it. Every day there is about three quintillion (the next step up is sextillion or one zettabyte) bytes of data created and only about 20% of it is structured and available to easily process. Nearly all useful processing that is done relies on a philosophy that is little changed from the green bar reports we were generating during the night shift and handing out up till the turn of the century. The whole map/reduce process is overnight batch processing, you aren’t working on live data, you are working on a snapshot, which might be fine for some companies, but for others, they need to be able to make decisions on high-velocity inbound data in near/real time.

Pilosa: A Scalable High Performance Bitmap Database Index

There is much confusion as to what a blockchain is and its dichotomy with a database. A blockchain is actually a database because it is a digital ledger that stores information in data structures called blocks. A database likewise stores information in data structures called tables. However, while a blockchain is a database, a database is not a blockchain. They are not interchangeable in a sense that though they both store information, they differ in design. There is also a difference in purpose between the two, which is perhaps what is not clear to those who want to understand why blockchains are needed and why databases are better suited for storing certain data.

Databases and Blockchains, The Difference Is In Their Purpose And Design

What is a graph database? Do you really need one, and if yes, how do you choose?

The Year of the Graph Newsletter: July 2018

This is a Big data story told in a different style. Why? When we tell stories, we only connect things that are regular, familiar, and easier on our minds. If facts do not match, we overlook.

History of Big Data: A Technical Comedy

Last year has been a very exciting year for devs like us.

Build a Gatsby & GraphQL App on Top of a Headless CMS

After seeing numerous Dockerfiles, <a href="https://hackernoon.com/tagged/github" target="_blank">GitHub</a> repositories, too many blog posts to count and a whole lot of medium, I decided that I wanted to have an open discussion on how folks manage their headless browser work. Especially now that there’s new libraries out there (headless Chrome, puppeteer and chromeless), I feel we’ve been given a second chance at using these <a href="https://hackernoon.com/tagged/tools" target="_blank">tools</a> in a better way.

Rethinking headless browser automation with Chrome

(for those linked in here from out of the blue, Floathub is sort of a one-way “Nest for Boats”; a <a href="https://support.floathub.com/hc/en-us/articles/219307708-The-FloatHub-Device" target="_blank">hardware device</a> that monitors a vessel’s systems and sends data up to an <a href="https://floathub.com/demo" target="_blank">online interface</a>)

From Itch to Launch

So you’ve been doing REST APIs for the past 5 years. Or perhaps you’ve been optimizing searches for your company’s gigantic database. Maybe writing the embedded software for a microwave oven? It’s been a while since you were rocking some Prototype.js to do proper OOP in the browser. And now you’ve decided it’s time to get up to speed with your frontend skills. You take a look at the landscape and it looks like <a href="https://thefullfool.files.wordpress.com/2010/09/wheres-waldo1.jpg" target="_blank">this</a>.

A Map To Modern JavaScript Development (2017)

"I was speaking to my friends, Lord Nidderdale and Mr. Longestaffe, and not to you."

WHERE "THE WILD ASSES QUENCH THEIR THIRST."

"I am sure you are mistaken if you think that Melmotte had anything to do with it."

MELMOTTE MAKES A FRIEND.

"So am I." Then the old man toddled into his own chamber, and after sitting there ten minutes went away home.

MELMOTTE IN PARLIAMENT

Flatfile’s vision is to enable seamless data transactions between every organization in the world

FLATFILE

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51-200 emps

Since 2018

Flatfile's stories on HackerNoon

Integrating PeopleSoft FSCM With External Systems For Data Automation

How Cambrian Network Is Powering the Future of AI-Driven DeFi

Announcing the COBOL Streamhouse

How to Import CSV Data Into PostgreSQL Using Spring Boot Batch

How We Built Our Software Documentation On Docusaurus

How To Use Change Data Capture for Fraud Detection

Rethinking the Hiring Process: How to to Stand Out and Delight Your Candidates

Markdown and Privacy-Focused Note Taking are the Perfect Match

State of the Noonion Q4: Ad By Tag, Tech Company News Pages, and More

Data Modeling in Salesforce and Heroku Data Services

Automated Data Replication From AWS S3 To Microsoft Azure Storage Made Easy

Data Pipelines and Expiring Dictionaries

Deep Dive Into Open Source BI Tool Helical Insight

Pilosa: A Scalable High Performance Bitmap Database Index

Databases and Blockchains, The Difference Is In Their Purpose And Design

The Year of the Graph Newsletter: July 2018

History of Big Data: A Technical Comedy

Build a Gatsby & GraphQL App on Top of a Headless CMS

Rethinking headless browser automation with Chrome

From Itch to Launch

A Map To Modern JavaScript Development (2017)

WHERE "THE WILD ASSES QUENCH THEIR THIRST."

MELMOTTE MAKES A FRIEND.

MELMOTTE IN PARLIAMENT

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