Sat.Jan 06, 2024 - Fri.Jan 12, 2024

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Intrinsic Data Quality: 6 Essential Tactics Every Data Engineer Needs to Know

Monte Carlo

What happens when you strip away all the noise of queries and pipelines and focus on the data itself? You get down to the intrinsic data quality. What’s the difference between intrinsic and extrinsic data quality? Intrinsic data quality is the quality of data assessed independently of its use case. Extrinsic data, meanwhile, is more about the context — it’s how your data interacts with the world outside and how it fits into the larger picture of your project or organization.

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Files streaming is quite a challenge

Waitingforcode

It's technically possible to process files in a continuous way from a streaming job. However, if you are expecting some latency sensitive job, this will always be slower than processing data directly from a streaming broker. Why?

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Data News — 2024

Christophe Blefari

Thoughts. Backward and forward. ( credits ) Hello, it's 2024. I hope you're well and that you've ended 2023 on a high note with your loved ones. I wish you a Happy New Year and all the best for 2024. I'm very happy to have the privilege of corresponding with you and it honours me. This edition of Data News will focus on the end of 2023 with a good retrospective about me and my activities—content and freelancing.

Data 130
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Robinhood Adds New Spot Bitcoin ETFs

Robinhood

The new class of spot Bitcoin ETFs that were approved by the SEC yesterday are now available on Robinhood Earlier today, Robinhood started offering the new class of spot Bitcoin ETFs that were approved by the SEC on January 10. These 11 ETFs became tradable to all customers in the United States this morning in both retirement and brokerage accounts though Robinhood Financial.

Insurance 131
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Navigating the Future: Generative AI, Application Analytics, and Data

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?

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Survey: Machine Learning Projects Still Routinely Fail to Deploy

KDnuggets

The author highlights the chronic under-deployment of ML projects, with only 22% of revolutionary initiatives deploying and a lack of stakeholder visibility and detailed planning as key issues, in his industry survey and book "The AI Playbook.

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Enhanced Object Detection using Drones and AI

ArcGIS

We will demonstrate how drone images and AI provide improved object detection achieved through Pixel Space to Map Space transformation.

More Trending

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Announcing Ray Autoscaling support on Databricks and Apache Spark™

databricks

Ray is an open-source unified compute framework that simplifies scaling AI and Python workloads in a distributed environment. Since we introduced support for.

Python 99
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5 Coding Tasks ChatGPT Can’t Do

KDnuggets

This is a pretty good list of what ChatGPT can't do. But it's not exhaustive. ChatGPT can generate pretty good code from scratch, but it can't do anything that would take your job.

Coding 116
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Infographic design in Business Analyst: Best practices for tables and charts

ArcGIS

This article walks through design choices related to tables and charts, to offer best practices and considerations when building infographics.

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8 Strategies to Engage Your Audience & Keep Them Interested

Knowledge Hut

Imagine trying to engage the audience while talking to them – it's like walking along a tricky path. Our attention spans are shorter than ever, just about eight seconds. I've faced the challenge of holding people's attention, especially when each person has their own distractions. So, how do you engage an audience? Think about standing in front of a group, everyone dealing with different things in their heads.

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Get Better Network Graphs & Save Analysts Time

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.

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Don't be beguiled by Microsoft Fabric Shortcuts (yet)

databricks

“Short cuts make long delays.” ― J.R.R. Tolkien, The Fellowship of the Ring The lakehouse pattern, in which you store all of your struc.

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Read This Before You Take Any Free Data Science Course

KDnuggets

Free courses are a great way to explore data science. But you do pay for free courses with your time, energy, and motivation. Consider these 7 things before starting a free Data Science course.

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Why 2024 is the time to rewrite your engineering playbook

LinkedIn Engineering

(This article originally appeared on LinkedIn) Advancements in AI consumed our attention and drove massive business considerations in 2023. Seemingly overnight, Generative AI (GAI) went mainstream – quickly becoming more deeply embedded across organizations and in everyone’s day-to-day work. Executives recognize the potential value GAI can bring to their organizations with 74% seeing at least one way it will benefit their employees, according to our September 2023 U.S.

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Scrum Master Salary - Freshers & Experienced [2024]

Knowledge Hut

A Scrum Master's salary is usually determined by experience, location, and employer. However, salaries can range significantly, depending on the company, the industry, and the experience of the Scrum Master. The Scrum Master is responsible for managing the development team and ensuring the successful execution of the project. They are also responsible for facilitating communication between stakeholders and the team, removing barriers and helping the team stay focused on the long-term goal.

Banking 98
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Understanding User Needs and Satisfying Them

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.

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ArcGIS clients and DBMS upgrade considerations

ArcGIS

This blog shares a workflow example of upgrading your organization’s ArcGIS clients along with the database version.

Database 111
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Running Mixtral 8x7b On Google Colab For Free

KDnuggets

Learn how to run the advanced Mixtral 8x7b model on Google Colab using LLaMA C++ library, maximizing quality output with limited compute requirements.

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3 Practical Steps Advertisers Can Take to Win in a Cookieless World

Snowflake

Third-party cookies have long been the backbone of online advertising, providing valuable insights into user behavior and enabling targeted, personalized campaigns. However, privacy concerns and evolving regulations have led major browsers like Safari and Firefox to limit or eliminate third-party cookie tracking. The next major milestone is upon us as Google is now testing a cookieless experience for 1% of randomly assigned Chrome users.

Media 83
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Top 12 Data Science Case Studies: Across Various Industries

Knowledge Hut

Data science has become popular in the last few years due to its successful application in making business decisions. Data scientists have been using data science techniques to solve challenging real-world issues in healthcare, agriculture, manufacturing, automotive, and many more. For this purpose, a data enthusiast needs to stay updated with the latest technological advancements in AI.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Turbo-Charging Confluent Cloud To Be 10x Faster Than Apache Kafka®

Confluent

Confluent Cloud is now 10x faster than Apache Kafka. Read our latency benchmarking results, the innovations behind-the-scenes, and the lessons we learned.

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4 Steps to Become a Generative AI Developer

KDnuggets

In this post, we will cover what a generative AI developer does, what tools you need to master, and how to get started.

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How Meta is advancing GenAI

Engineering at Meta

What’s going on with generative AI (GenAI) at Meta? And what does the future have in store? In this episode of the Meta Tech Podcast, Meta engineer Pascal Hartig ( @passy ) speaks with Devi Parikh, an AI research director at Meta. They cover a wide range of topics, including the history and future of GenAI and the most interesting research papers that have come out recently.

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Top Cloud Computing Jobs: Salaries and Benefits

Knowledge Hut

What comes to your mind when you hear the term 'Cloud'? Well, in a technologically advanced world, Cloud refers to a place where you can store and manage data on a device. After the outbreak of the coronavirus pandemic, Cloud computing jobs are in great demand. It is a great field of professional growth. Personally, I find it fascinating how saying, "I can handle the Cloud," has become a ticket to professional opportunities.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

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.

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5 tips to get the most out of your Databricks Assistant

databricks

Back in July, we released the public preview of the new Databricks Assistant, a context-aware AI assistant available in Databricks Notebooks, SQL editor.

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Can Data Governance Address AI Fatigue?

KDnuggets

This post explains how data governance can help data scientists handle AI fatigue and build robust models.

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Arcade Expressions in Pro Charts

ArcGIS

This post demonstrates how Arcade expressions can be used to configure your charts in Pro.

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What is LDA: Linear Discriminant Analysis for Machine Learning

Knowledge Hut

Linear Discriminant Analysis or LDA is a dimensionality reduction technique. It is used as a pre-processing step in Machine Learning and applications of pattern classification. The goal of LDA is to project the features in higher dimensional space onto a lower-dimensional space in order to avoid the curse of dimensionality and also reduce resources and dimensional costs.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Manufacturing Insights: Calculating Streaming Integrals on Low-Latency Sensor Data

databricks

Data engineers rely on math and statistics to coax insights out of complex, noisy data. Among the most important domains is calculus, which.

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KDnuggets News, January 10: CS Degree Program For Free • Prompt Engineering 101 • 2023: The Crazy AI Year

KDnuggets

This week on KDnuggets: Enroll in the free OSSU Computer Science degree program and launch your career in tech today • Understand what prompt engineering is, and to learn more about some of the most important techniques • The year of Generative AI in review • And much, much more!

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Lead Data Engineer Career Guide

Towards Data Science

Knowledge and skills for successful data leadership Continue reading on Towards Data Science »

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What Is An Agile Epic? Best Practices, Template & Example

Knowledge Hut

Project management involves a series of activities to understand user journeys, pain points, and a lot more to build the vision and create a niche for the organization to sustain and grow. Building requirements around the customer journey is no mean feat and especially in agile environments this involves a lot of research, refinement, and customer feedback to ensure keeping up with the ever-changing user needs, fancies, and environmental challenges.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.