Simon Späti

JANUARY 3, 2023

I used VS Code, Sublime, Notepad++, TextMate, and others, but the shortcut with cmd(+shift)+end, jumping with option+arrow-keys from word to word, needed to be faster at some point. I was hitting my limits. Everything I was doing I did decently fast, but I didn’t get any faster. Vim is the only editor you get faster with time. Vim is based solely on shortcuts.

Data Engineering 195

Data Engineering Data Engineer Engineering Coding 195

KDnuggets

JANUARY 3, 2023

Matplotlib is the most famous and commonly used plotting library in Python. It allows you to create clear and interactive visualizations that make your data easier to understand and your results more concrete.

Python 160

Python Data IT Data Science 160

Simon Späti

JANUARY 3, 2023

Throughout my time as a developer, I’ve used VS Code, Sublime, Notepad++, TextMate, and others. But shortcuts like cmd(+shift)+end and jumping with option+arrow-keys from word to word needed to be faster at some point. I was hitting my limits. Everything I was doing I did decently fast, but I didn’t get any faster. I’ve since learned that Vim is the only editor that you get faster using with time.

Coding 130

Coding 130

KDnuggets

JANUARY 3, 2023

Delve deeper into the concept of multi-armed bandits, reinforcement learning, and exploration vs. exploitation dilemma.

Machine Learning 108

Machine Learning 108

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Database

Simon Späti

JANUARY 3, 2023

In this article, we are going to explore core open-source tools that are needed for any company to become data-driven. We’ll cover integration, transformation, orchestration, analytics, and ML tools as a starter guide to the latest open data stack. Let’s start with the Modern Data Stack. Have you heard of it or where the term came from?

Data 130

Data IT 130

Precisely

JANUARY 3, 2023

Times are changing, and at a near-constant pace. With shifting customer preferences and disruptive world events shaking up the global supply chain market, many business leaders are left wondering whether they’ll be able to stay competitive. Supply chain automation technologies can have a big role to play when it comes to providing end-to-end visibility and risk mitigation for complex, data-intensive SAP processes in supply chain.

Process 59

Process Data Governance Algorithm Data Integration 59

Acceldata

JANUARY 3, 2023

We released the latest version of Acceldata Data Observability Cloud (ADOC). Version 2.4.1 is now generally available, and it provides enhancements to compute, data reliability, data pipeline management and orchestration, and introduces new monitoring and alerting capabilities.

Cloud 52

Cloud Data Pipeline Data Management 52

Ascend.io

JANUARY 3, 2023

Businesses are increasingly reliant on new technologies to enable the use of data in new and innovative ways. However, most data leaders are finding that technology alone does not cause the organization to deliver new and valuable insights fast enough. Fundamentally, we need an approach that holistically supports the infrastructure, technology, and processes to convert raw data into something valuable and accessible.

Data 52

Data Data Lake Business Intelligence Big Data 52

Rockset

JANUARY 3, 2023

This blog compiles real-time data predictions from industry leaders so you know what’s coming in 2023. Here’s what made it into the short list: Streaming data will continue to see widespread adoption with cloud becoming the great enabler Real-time streaming data stacks will start to replace batch-oriented stacks Real-time streaming data stacks must impact the bottom line of the business New applications for streaming real-time data emerge: data applications + real-time ML Growth in the adoption

Data Warehouse 52

Data Warehouse Education Database Data 52

databricks

JANUARY 3, 2023

Databricks Workflows is a fully-managed orchestration service that is deeply integrated with the Databricks Lakehouse Platform. Workflows is a great alternative to Airflow.

Management 52

Management 52

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Certification