January, 2024

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The Future of Data Engineering as a Data Engineer

Monte Carlo

In the world of data engineering, Maxime Beauchemin is someone who needs no introduction. One of the first data engineers at Facebook and Airbnb, he wrote and open sourced the wildly popular orchestrator, Apache Airflow , followed shortly thereafter by Apache Superset , a data exploration tool that’s taking the data viz landscape by storm. Currently, Maxime is CEO and co-founder of Preset , a fast-growing startup that’s paving the way forward for AI-enabled data visualization for modern companie

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The Only Free Course You Need To Become a Professional Data Engineer

KDnuggets

Data Engineering ZoomCamp offers free access to reading materials, video tutorials, assignments, homeworks, projects, and workshops.

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Data Science vs Software Engineering - Significant Differences

Knowledge Hut

With an array of career options, all that matters is choosing the right career path. The right career path for one depends on their skill set, interest, job availability in that field, and, most importantly, your passion for the same. Speaking of job vacancies, the two careers have high demands till date and in upcoming years are Data Scientist and a Software Engineer.

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The Pulse: Will US companies hire fewer engineers due to Section 174?

The Pragmatic Engineer

👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. In every issue, I cover topics related to Big Tech and startups through the lens of engineering managers and senior engineers. In this article, we cover one out of four topics from today’s subscriber-only The Pulse issue. To get full issues twice a week, subscribe here.

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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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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.

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Totally Eclipsed

ArcGIS

Exploring the value of critique as part of the process of creating a new map of the Total Eclipse that will cross the United States on April 8th

Process 139

More Trending

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Prompt Engineering 101: Mastering Effective LLM Communication

KDnuggets

This article serves as an introduction to those looking to understanding what prompt engineering is, and to learn more about some of the most important techniques currently used in the discipline.

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A look under GHC's hood: desugaring linear types

Tweag

I recently merged linear let- and where-bindings in GHC. Which means that we’ll have these in GHC 9.10, which is cause for celebration for me. Though they are much overdue, so maybe I should instead apologise to you. Anyway, I thought I’d take the opportunity to discuss some of GHC’s inner workings and how they explain some of the features of linear types in Haskell.

Algorithm 124
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Accelerate Your Machine Learning Workflows in Snowflake with Snowpark ML 

Snowflake

Many developers and enterprises looking to use machine learning (ML) to generate insights from data get bogged down by operational complexity. We have been making it easier and faster to build and manage ML models with Snowpark ML , the Python library and underlying infrastructure for end-to-end ML workflows in Snowflake. With Snowpark ML, data scientists and ML engineers can use familiar Python frameworks for preprocessing and feature engineering as well as training models that can be managed a

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5 Hard Truths About Generative AI for Technology Leaders

Monte Carlo

GenAI is everywhere you look, and organizations across industries are putting pressure on their teams to join the race – 77% of business leaders fear they’re already missing out on the benefits of GenAI. Data teams are scrambling to answer the call. But building a generative AI model that actually drives business value is hard. And in the long run, a quick integration with the OpenAI API won’t cut it.

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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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Introducing Neighborhood Explorer in ArcGIS Pro

ArcGIS

ArcGIS Pro now includes Neighborhood Explorer: an experience that will help you understand and refine spatial relationships in your analysis.

Education 137
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Databricks Announces the Industry’s First Generative AI Engineer Learning Pathway and Certification

databricks

Today, we are announcing the industry's first Generative AI Engineer learning pathway and certification to help ensure that data and AI practitioners have.

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Enroll in a 4-year Computer Science Degree Program For Free

KDnuggets

Enroll in the free OSSU Computer Science degree program and launch your career in tech today. Learn from high-quality courses from professors from leading universities like MIT, Harvard, and Princeton.

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Monitoring Cloudera DataFlow Deployments With Prometheus and Grafana

Cloudera

Cloudera DataFlow for the Public Cloud (CDF-PC) is a complete self-service streaming data capture and movement platform based on Apache NiFi. It allows developers to interactively design data flows in a drag and drop designer, which can be deployed as continuously running, auto-scaling flow deployments or event-driven serverless functions. CDF-PC comes with a monitoring dashboard out of the box for data flow health and performance monitoring.

Bytes 102
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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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Unlock the Power of Your Marketing Data with Snowflake Connector for Google Analytics

Snowflake

Imagine seamlessly integrating your Google Analytics data with Snowflake, allowing you to combine it effortlessly with other key sources like CRM, ERP, social media metrics, email campaign data, and whatever data sources compose the full scope of your data estate. The good news is that it’s possible with the native Snowflake Connector for Google Analytics, now available in public preview.

Raw Data 103
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How DataOS Nails Gartner’s Magic Quadrant for Data Integration

The Modern Data Company

The Modern Data Company has been given an honorable mention in Gartner’s 2023 Magic Quadrant for Data Integration. In honor of this achievement, we’d like to re-introduce ourselves for 2024 and let everyone know why DataOS has been and still is one of the most innovative and reliable ways for organizations not only to interact with their data but to put that data to work once and for all.

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Geoprocessing enhancements in ArcGIS Pro 3.2 for ArcMap users

ArcGIS

Equivalency enhancements to geoprocessing in ArcGIS Pro 3.2 to remove more barriers for those transitioning from ArcMap.

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LLM Training and Inference with Intel(R) Gaudi(R) 2 AI Accelerators

databricks

At Databricks, we want to help our customers build and deploy generative AI applications on their own data without sacrificing data privacy or.

Building 141
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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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7 Steps to Landing Your First Data Science Job

KDnuggets

Want to make a successful career switch to data science? From learning data science concepts to cracking interviews, read this guide to move one step closer to your first data science job.

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DORA Metrics At Work

Booking.com Engineering

DEVOPS How we doubled our team’s delivery performance within a year as measured by DORA metrics. source Imagine your team secured a budget for doubling the number of software engineers. That’s great! You can finally fix all the bugs, implement new ideas, and clean up all the technical debt that’s been accumulating for years. Right? Wait, wait… Not so fast.

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New Snowflake Features Released in December 2023

Snowflake

In the final month of 2023, Snowflake released features around Snowflake Cortex functions, Snowpark ML, cost management and more. Read on to learn more about everything we announced in December. Snowpark Enhancements GPU-powered compute with Snowpark Container Services – public preview in select AWS regions Snowpark Container Services is a fully managed container offering that helps you deploy, manage and scale containerized code, whether it’s a large language model (LLM) or a full-stack a

Python 98
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Power BI vs Tableau: Which Data Visualization Tool is Right for You?

Knowledge Hut

Step into the realm of data visualization with a comprehensive exploration of Power BI and Tableau. In a world where data is important, deciding between power bi vs tableau can change your path in analyzing things. As we explore the pasts and ways that Power BI and Tableau work, it'll help us understand what makes these tools special. If you are an expert in working with data or a beginner excited to use visualization, this blog will help you understand the differences between power bi and t

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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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.

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Welcome to the Data Intelligence Platform: Databricks + Einblick

databricks

At Databricks, we believe that AI will change the way that enterprises interact with their data. That’s why today, we're excited to welcome t.

Data 116
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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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Measuring mobile apps performance in production

Booking.com Engineering

“Customers expect apps to perform well. An app that takes a long time to launch, or responds slowly to input, may appear to the user as if it’s not working or is sluggish. An app that makes a lot of large network requests may increase the user’s data charges and drain the device battery. Any of these behaviors can frustrate users and lead them to uninstall the app.

Java 98
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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.

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Zero to CDP: Unlock Your Full Marketing Potential with a Composable CDP on Snowflake

Snowflake

In today’s dynamic business landscape, numerous organizations are transitioning to the Snowflake Data Cloud, seeking more agile, secure and efficient solutions to manage and activate customer data. Yet, the timelines and engineering resources needed to support implementation haven’t always kept pace with the increased market demand, impeding innovation.

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What Is Nested Lambda Function? What Are Its Characteristics Give an Example?

Knowledge Hut

As a Python developer, I regularly work with lambda functions to write clean, concise code. Lambdas are anonymous functions that allow you to inline small bits of code without having to define an entire function. However, as my Python skills have grown, I've found myself using nesting lambdas more and more. While nested lambda function in Python may seem complicated at first, they allow you to chain together functions elegantly.

IT 94
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Confluent Partner Awards 2023

Confluent

We’re celebrating excellence across the Data Streaming ecosystem. In this blog post, we announce the global and regional categories that Confluent will recognize across its 2023 Partner of the Year award winners.

IT 92
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Boost your data & AI skills with our latest offerings: Databricks Academy Labs and Blended Learning

databricks

Databricks launches hands-on labs solution and cohort-based learning From the data + AI experts, today, we're announcing two unique ways that practitioners can.

Data 107
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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.