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 »

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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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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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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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Apache Airflow® Best Practices for ETL and ELT Pipelines

Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.

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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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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.

More Trending

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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.

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Building and Customizing GenAI with Databricks: LLMs and Beyond

databricks

Generative AI has opened new worlds of possibilities for businesses and is being emphatically embraced across organizations. According to a recent MIT Tech.

Building 128
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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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How to learn data engineering

Christophe Blefari

Learn data engineering, all the references ( credits ) This is a special edition of the Data News. But right now I'm in holidays finishing a hiking week in Corsica 🥾 So I wrote this special edition about: how to learn data engineering in 2024. The aim of this post is to create a repository of important links and concepts we should care about when we do data engineering.

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Apache Airflow®: The Ultimate Guide to DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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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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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.

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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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Data News — 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,

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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The Difficulties of Senior Engineer …. 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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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 you’re new to Snowpark, this is Snowflake ’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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10 Advanced Git Techniques

KDnuggets

Improve your version control skills to resolve issues and maintain a clean Git repository.

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Data + AI Strategy: People Focus

databricks

This post is part of a series. Check out Part 1: The Data + AI Trifecta: People, Process, and Platform In the current.

Data 109
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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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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

Project 98
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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. It’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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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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Announcing the winners of the first Databricks Asia-Pacific LLM Cup!

databricks

We're excited to announce the winners of Databricks' inaugural Asia-Pacific Large Language Model (LLM) Cup, a first-of-its-kind competition in the region, which garnered.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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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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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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3 Interesting Uses of Python’s Context Managers

KDnuggets

Context managers in Python help you handle resources efficiently. Let's learn how you can use them to manage database connections, subprocesses, and more.

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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 experience—including security and governance capabilities — across multiple cloud regions with the three major cloud providers: AWS, Azure, and Google Cloud.

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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

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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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Tale of 'metadpata': the revenge of the supertools

Zalando Engineering

The perfect storm In the mids of Cyber Week preparation in November 2022, I was DMd by a colleague with a request to quickly join a call. To my surprise as I was anticipating a 1:1 call, I got greeted by a message indicating that 60+ others are in the call as well. It turned out that I was just about to join an incident response call for what later got to be known internally as the "metadpata" incident.

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Supercharge Your AI Journey! Join Uplimit’s Free Building AI Products using OpenAI Course

KDnuggets

Transform your AI aspirations into reality—join Uplimit's AI revolution!

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Metadata Management and Data Governance with Cloudera SDX

Cloudera

In this article, we will walk you through the process of implementing fine grained access control for the data governance framework within the Cloudera platform. This will allow a data office to implement access policies over metadata management assets like tags or classifications, business glossaries, and data catalog entities, laying the foundation for comprehensive data access control.

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.