Sat.Jan 20, 2024 - Fri.Jan 26, 2024

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A Guide to Data Engineering Infrastructure

Towards Data Science

Automate resource provisioning with modern tools Continue reading on Towards Data Science ยป

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Modern Customer Data Platform Principles

Data Engineering Podcast

Summary Databases and analytics architectures have gone through several generational shifts. A substantial amount of the data that is being managed in these systems is related to customers and their interactions with an organization. In this episode Tasso Argyros, CEO of ActionIQ, gives a summary of the major epochs in database technologies and how he is applying the capabilities of cloud data warehouses to the challenge of building more comprehensive experiences for end-users through a modern c

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Data News โ€” Week 24.04

Christophe Blefari

Hey ( credits ) Hey, new week new email. This is already end of January but I took time to travel and see people I did not see for a long time so I'm super happy how this new year is starting. Next week, I'll be wrapping up my DataOps lecture by incorporating how to deploy machine learning models. This is a fun part where students learn how to serve a simple classifier in production.

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Static enrichment dataset with Delta Lake

Waitingforcode

Data enrichment is one of common data engineering tasks. It's relatively easy to implement with static datasets because of the data availability. However, this apparently easy task can become a nightmare if used with inappropriate technologies.

Datasets 130
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The AI Superhero Approach to Product Management

Speaker: Conrado Morlan

In this engaging and witty talk, weโ€™ll explore how artificial intelligence can transform the daily tasks of product managers into streamlined, efficient processes. Using the lens of a superhero narrative, weโ€™ll uncover how AI can be the ultimate sidekick, aiding in decision-making, enhancing productivity, and boosting innovation. Attendees will leave with practical tools and actionable insights, motivated to embrace AI and leverage its potential in their work. 🦸 🏢 Key objectives:

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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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The Difficulties of Senior Engineer โ€ฆ. are not Engineering

Confessions of a Data Guy

Well, I hate to break the news to you. I was the same when I first started, writing code that is. I was a zealot. I was zealous for every new thing I learned, every new language, every new approach, I would find the preacher who was preaching the message I wanted to hear … […] The post The Difficulties of Senior Engineer … are not Engineering appeared first on Confessions of a Data Guy.

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Databricks Announces the Industryโ€™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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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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Accelerate Your Machine Learning Workflows in Snowflake with Snowpark MLย 

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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Data News โ€” Week 24.03

Christophe Blefari

Walking in the street be like recently ( credits ) Hey I hope this new edition finds you well. We are deep in the winter, it's time for comfy Data News to read near the fire 🔥 This week, on Monday, I started my annual university lecture. It's been 9 years since I started teaching and this year something was different. The students were incredibly calm, obviously my course is a bit difficult at the beginning because it touches on concepts that they are not used to—cloud,

Data 130
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Provide Real Value in Your Applications with Data and Analytics

The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. With Logi Symphony, we aim to turn these challenges into opportunities. Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights.

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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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KDnuggets News, January 24: 5 Free University Courses to Learn Data Science โ€ข Convert Unstructured Data into Structured Insights with LLMs

KDnuggets

This week on KDnuggets: Here are five free university courses to help you get started in a data science career โ€ข Understand the unstructured data dilemma โ€ข And much, much more!

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Top Data + AI Predictions for the Public Sector in 2024

Snowflake

Governments collect more data than any other type of entity on the planet, yet their ability to use data to serve citizens more effectively has always been limited. Regulatory compliance, budgetary constraints, reliance on legacy systems and internal resistance to change all play a role. Thatโ€™s why when it comes to adopting new technologies, public agencies tend to lag behind the private sector by 18 to 24 monthsโ€”and often longer.

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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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Entity Resolution: Your Guide to Deciding Whether to Build It or Buy It

Adding high-quality entity resolution capabilities to enterprise applications, services, data fabrics or data pipelines can be daunting and expensive. Organizations often invest millions of dollars and years of effort to achieve subpar results. This guide will walk you through the requirements and challenges of implementing entity resolution. By the end, you'll understand what to look for, the most common mistakes and pitfalls to avoid, and your options.

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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 thatโ€™s taking the data viz landscape by storm. Currently, Maxime is CEO and co-founder of Preset , a fast-growing startup thatโ€™s paving the way forward for AI-enabled data visualization for modern companie

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Powering Up with Predictive GenAI

KDnuggets

Learn what Predictive GenAI does and how it can make predictive analytics far more accessible, efficient, and meaningful for your business.

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How DataOS Nails Gartnerโ€™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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What Is Crashing a Project in Project Management?

Knowledge Hut

With over a decade of my experience in Project management, I might have crashed about 80% of my Project. Project Crashing is not a negative or a bad thing like it sounds, instead it serves as a strategy in project management, aimed at expediting project timelines without compromising the project's scope. It's very different from fast-tracking, which involves resequencing activities, and scope changes, which alter project objectives, project crashing focuses on deploying additional resour

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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when itโ€™s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI pr

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Trusted Data for the Data Intelligence Platform: Databricks Ventures Invests in Anomalo

databricks

Reliable, accurate and trusted data is the most critical requirement for any data application in an enterprise. As Databricks customers increasingly rely on.

Data 99
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AI Prompt Engineers are Making $300k/y

KDnuggets

Prompt engineering and generative AI are becoming hotter by the day. Be part of the heat!

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Top 3 Healthcare and Life Sciences Data + AI Predictions for 2024

Snowflake

This year may be the most innovative on record. Recent advances in AI are beginning to transform how we live and work. And the potential impacts of artificial intelligence (AI) on the healthcare and life sciences industries are expected to be far-reaching. Itโ€™s essential for organizations to leverage vast amounts of structured and unstructured data for effective generative AI (gen AI) solutions that deliver a clear return on investment.

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CSM vs PSM: Main Differences Between CSM & PSM Certification

Knowledge Hut

In today's era of digital transformation and rapidly evolving technological trends, it is imperative for IT professionals to keep up with the latest know-how about the subject matter, tools, and skills. Other than pursuing career-oriented courses and certifications, there is no better way for professionals to achieve this objective. Certifications are like stepping stones for professionals guiding their career journey and learning paths to progress ahead and stay in vogue with job demands as wel

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Demystifying DAPs: A Practical Guide to Digital Adoption Success

Speaker: Pulkit Agrawal

Digital Adoption Platforms (DAPs) are revolutionizing the way organizations interact with and optimize their software applications. As digital transformation continues to accelerate, DAPs have become essential tools for enhancing user engagement and software efficiency. This session is your guide into the robust world of DAPs, exploring their origins, evolution, and the current trends shaping their development.

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How DataOS Nails Gartnerโ€™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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3 Crucial Challenges in Conversational AI Development and How to Avoid Them

KDnuggets

Developing a conversational AI chatbot requires substantial effort. However, understanding and addressing key challenges in natural language understanding can streamline the development process.

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New Snowflake Deployments: Saudi Arabia and Zurich Coming Soon

Snowflake

A key benefit of the Snowflake Data Cloud is the elimination of data silos. Fundamental to this outcome is the ability of customers to operate and collaborate globally. To support this, the Data Cloud was designed to provide customers with the same product experienceโ€”including security and governance capabilities โ€” across multiple cloud regions with the three major cloud providers: AWS, Azure, and Google Cloud.

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Full Stack Developer Job Description - Roles & Responsibilities [Updated]

Knowledge Hut

Being a Full Stack Developer means diving into the diverse worlds of native, mobile, and online application stacks. In my journey as a Full Stack Developer, I've realized the profound impact this role can have on any organization. The ever-changing landscape of technology demands versatility, making the hiring of a Full Stack Developer a strategic move for several reasons.

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Deliver Mission Critical Insights in Real Time with Data & Analytics

In the fast-moving manufacturing sector, delivering mission-critical data insights to empower your end users or customers can be a challenge. Traditional BI tools can be cumbersome and difficult to integrate - but it doesn't have to be this way. Logi Symphony offers a powerful and user-friendly solution, allowing you to seamlessly embed self-service analytics, generative AI, data visualization, and pixel-perfect reporting directly into your applications.

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Bring your Snowpark models to life on ThoughtSpot

ThoughtSpot

ThoughtSpot is taking Snowpark use cases to the next level with generative AI, connecting the dots between ML-powered insights and business action. If youโ€™re new to Snowpark, this is Snowflake โ€™s set of libraries and runtimes that securely deploy and process non-SQL code including Python, Java, and Scala. Combining the power of Snowflake Snowpark and ThoughtSpot, developers and data professionals can create models, uncover insights, and build data apps using their preferred programming language.

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Top 16 Technical Data Sources for Advanced Data Science Projects

KDnuggets

Here are data repositories that will up your data science game and improve your data projects.

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Migrating Policy Delivery Engines with (almost) Nobody Knowing

Pinterest Engineering

Jeremy Krach | Staff Security Engineer, Platform Security Background Several years ago, Pinterest had a short incident due to oversights in the policy delivery engine. This engine is the technology that ensures a policy document written by a developer and checked into source control is fully delivered to the production system evaluating that policy, similar to OPAL.

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The Self Variable in Python Explained with Python Examples

Knowledge Hut

Understanding the significance of the self variable in Python classes and object-oriented programming (OOP) is paramount for effective manipulation and construction of Python objects. The self variable establishes a crucial link to the class instance, facilitating access to its attributes and methods. In the realm of class methods, it is a convention to designate the first parameter as self, though it can be named differently if necessary.

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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.