KDnuggets

NOVEMBER 13, 2023

Want to break into data science? Start upskilling today with these free courses to learn programming, data analysis, and machine learning.

Data Science 144

Data Science Machine Learning Data Analysis Data 144

Netflix Tech

NOVEMBER 13, 2023

Iroro Orife , Chih-Wei Wu and Yun-Ning (Amy) Hung Introduction When you enjoy the latest season of Stranger Things or Casa de Papel (Money Heist) , have you ever wondered about the secrets to fantastic story-telling, besides the stunning visual presentation? From the violin melody accompanying a pivotal scene to the soaring orchestral arrangement and thunderous sound-effects propelling an edge-of-your-seat action sequence, the various components of the audio soundtrack combine to evoke the very

Datasets 89

Datasets Metadata Algorithm Architecture 89

KDnuggets

NOVEMBER 13, 2023

Welcome back to Week 2 of KDnuggets’ "Back to Basics" series. This week, we delve into the vital world of Databases, SQL, Data Management, and Statistical Concepts in Data Science.

Database 109

Database SQL Data Management Management 109

databricks

NOVEMBER 13, 2023

Managing the environment of an application in a distributed computing environment can be challenging. Ensuring that all nodes have the necessary environment to.

Management 98

Management Python Data Engineering Data Engineer 98

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

Data

KDnuggets

NOVEMBER 13, 2023

I recently gained access to Anthropic's API, and I am impressed by how easy it is to use and faster than OpenAI API.

Accessible 97

Accessible Accessibility IT 97

databricks

NOVEMBER 13, 2023

Today, we introduce the new availability of named arguments for SQL functions. With this feature, you can invoke functions in more flexible ways.

SQL 89

SQL Data Engineering Data Engineer Engineering 89

Precisely

NOVEMBER 13, 2023

In the face of unprecedented business disruptions, more companies are turning to automation to drive digital transformation success, deliver tangible business results, and ensure data integrity – that’s data with maximum accuracy, consistency, and context. Manual, data-intensive SAP ERP processes are often prime candidates for automation due to their complex nature.

Process 59

Process Data Integration Education Programming 59

ArcGIS

NOVEMBER 13, 2023

Find out what is new in the 3D Analyst extension in ArcGIS Pro 3.2.

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Confluent

NOVEMBER 13, 2023

Meet Cloud Product Representative Wendell Slater and learn what got him to Confluent—and how he’s driving better outcomes for his team and customers.

Cloud 62

Cloud 62

Precisely

NOVEMBER 13, 2023

Unlocking Location-Based Context for Highly Personalized Digital Outdoor Advertising Precisely, the global leader in data integrity, is proud to announce an expanded partnership with Vistar Media, the world’s leading marketplace for programmatic digital out-of-home (DOOH). The expansion enables customers of the Vistar Media platform to benefit from powerful audience targeting for digital outdoor advertising campaigns, powered by Precisely PlaceIQ location data.

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Media Data Integration Technology Building 52

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Database

Scott Logic

NOVEMBER 13, 2023

Have you ever tried explaining something to a child, who pretends to understand, but in reality doesn’t have the foggiest what you’re saying? That’s the experience I’ve had with LangChain agents. Here at Scott Logic we have been working on an internal GenAI project called Scottbot. Scottbot is a friendly chat bot used to answer employee queries, with an ability to harness a range of tools including Wikipedia, Google and our company-wide intranet Confluence.

Systems 52

Systems Project Programming Process 52

Picnic Engineering

NOVEMBER 13, 2023

Picnic’s Tech Academy plays a pivotal role in upskilling our tech team. We’ve previously written about how the Academy’s Java Learning path accelerates the growth of early-career / graduate joiners at Picnic, and how they experience this program first-hand. That’s all well and good, but this still doesn’t tell you much about the other side of the equation: who’s actually teaching them?

MongoDB 52

MongoDB Java NoSQL Python 52

Scott Logic

NOVEMBER 13, 2023

Summary In this post, I’m going to cover some of the challenges posed by testing AI applications, with reference to our internal chatbot ‘Scottbot’ , including Non-determinism in tests Costs of running tests Statistical nature of AI testing - i.e, not having 100% pass rate is normal Testing LLM-Based vs. Traditional Apps As a testing professional with years of experience, I usually approach software testing with confidence.

Datasets 52

Datasets Coding Systems Technology 52

ArcGIS

NOVEMBER 13, 2023

This article is specific to Sentinel-1 SAR satellite data and is part of a blog series on sensor support in ArcGIS Pro.

Data 61

Data Education 61

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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

Data Analysis

Striim

NOVEMBER 13, 2023

Introduction In the fast-evolving world of data integration, Striim’s collaboration with Snowflake stands as a beacon of innovation and efficiency. This comprehensive overview delves into the sophisticated capabilities of Striim for Snowflake data ingestion, spanning from file-based initial loads to the advanced Snowpipe streaming integration.

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Data Ingestion Utilities Data Integration Data 59

Snowflake

NOVEMBER 13, 2023

Tide , a mobile-first financial platform based in the U.K., offers fast, intuitive service to small business customers. Data is crucial to Tide, having supported its incredible growth to nearly 500,000 customers in just eight years. As a regulated financial platform, the company sought to improve its compliance with GDPR’s right to erasure provision, commonly known as the “right to be forgotten.

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Finance Consulting Data Warehouse Data Governance 82

Zalando Engineering

NOVEMBER 13, 2023

Introduction ? Hey there, fellow engineers! Let's dive into the exciting world of Spring Boot testing with JUnit. It is incredibly powerful, providing a realistic environment for testing our code. However, if we don't optimize our tests, they can be slow and negatively affect lead time to changes for our teams. This blog post will teach you how to optimize your Spring Boot tests, making them faster, more efficient, and more reliable.

Database 45

Database Coding Engineering IT 45

dbt Developer Hub

NOVEMBER 13, 2023

The Bottom Line: You should split your Jobs across Environments in dbt Cloud based on their purposes (e.g. Production and Staging/CI) and set one environment as Production. This will improve your CI experience and enable you to use dbt Explorer. Environmental segmentation has always been an important part of the analytics engineering workflow: When developing new models you can process a smaller subset of your data by using target.name or an environment variable.

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Cloud Database-centric Metadata Data Warehouse 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