Sat.Oct 26, 2024 - Fri.Nov 01, 2024

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What is an AI Data Engineer? 4 Important Skills, Responsibilities, & Tools

Monte Carlo

The rise of AI and GenAI has brought about the rise of new questions in the data ecosystem – and new roles. One job that has become increasingly popular across enterprise data teams is the role of the AI data engineer. Demand for AI data engineers has grown rapidly in data-driven organizations. But what does an AI data engineer do? What are they responsible for?

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Testing DuckDB’s Large Than Memory Processing Capabilities.

Confessions of a Data Guy

I am a glutton for punishment, a harbinger of tidings, a storm crow, a prophet of the data land, my sole purpose is to plumb the depths of the tools we use every day in Data Engineering. I find the good, the bad, the ugly, and splay them out before you, string ’em up and […] The post Testing DuckDB’s Large Than Memory Processing Capabilities. appeared first on Confessions of a Data Guy.

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7 Computer Vision Projects for All Levels

KDnuggets

Each project, from beginner tasks like Image Classification to advanced ones like Anomaly Detection, includes a link to the dataset and source code for easy access and implementation.

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Unapologetically Technical Episode 14 – Cliff Crosland

Jesse Anderson

Unapologetically Technical’s newest episode is now live! In this episode of Unapologetically Technical, I interview Cliff Crosland, the co-founder and CEO of Scanner.dev. Cliff Crosland is a data engineer passionate about helping people wrangle massive log volumes. He sees logs as a treasure trove of insights and believes effective log analysis is critical in today’s complex systems.

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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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Announcing the General Availability of Step-Through Debugging in Databricks Notebooks and Files

databricks

We are thrilled to announce the General Availability of a Python step-through debugger for Databricks Notebooks and Files. This highly requested feature allows.

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Looking Back on Our First Women Leaders in Technology Event

Cloudera

Over the last few months, Cloudera has been traversing the globe hosting our EVOLVE24 event series. It has been a time full of excitement, innovative ideas, and connection with our partners and customers. It also provided a moment for us to launch an important initiative for Cloudera: our Women Leaders in Technology (WLIT) initiative. WLIT is a global initiative developed to create a forum wherein women and allies in tech leadership roles can connect with and demonstrate to women and girls tha

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Robinhood Reports Third Quarter 2024 Results

Robinhood

Robinhood Markets, Inc. (Nasdaq: HOOD) today reported financial results for the quarter ended September 30, 2024. Read our Q3 2024 earnings press release here. Access more information at investors.robinhood.com. The post Robinhood Reports Third Quarter 2024 Results appeared first on Robinhood Newsroom.

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Announcing General Availability: Publish to Microsoft Power BI Service from Unity Catalog

databricks

We're excited to announce the General Availability of Publish to Microsoft Power BI Service from Unity Catalog, an integration that makes it easy.

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Tools for the Next Era: The Modern Marketing Data Stack 2025

Snowflake

The stage is set for a new era in marketing, and marketers have never had so much data and technology at their fingertips. But to deliver the ROI that enterprises require today, marketers must have a strategic mindset and fine-tune the tools, tactics and approaches in their marketing data stack. Snowflake is here to help marketers evolve and accelerate their marketing impact with our third annual Modern Marketing Data Stack report and global virtual event.

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How to Fine-Tune T5 for Question Answering Tasks with Hugging Face Transformers

KDnuggets

Fine-tuning the T5 model for question answering tasks is simple with Hugging Face Transformers: provide the model with questions and context, and it will learn to generate the correct answers.

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

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

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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#ClouderaLife Employee Spotlight: Julia Ostrowski

Cloudera

In this Employee Spotlight, we sat down with Julia Ostrowski to learn about her time at Cloudera, what she loves about her job, her experience on both sides of Cloudera’s mentorship program, and her impressive volunteer work. Meet Julia Ostrowski Julia is the Director of Enterprise Entitlement at Cloudera and has been with the company since 2019, joining via Hortonworks.

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Aimpoint Digital: Leveraging Delta Sharing for Secure and Efficient Multi-Region Model Serving in Databricks

databricks

When serving machine learning models, the latency between requesting a prediction and receiving a response is one of the most critical metrics for.

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New Snowflake Deployment: Mexico and South Korea Coming Soon

Snowflake

Snowflake is excited to announce a significant expansion of our AI Data Cloud infrastructure with support for Microsoft Azure Mexico by the end of Snowflake’s fiscal year, and support for Microsoft Azure in Seoul in the first half of 2025. These deployments underscore Snowflake’s continued commitment to providing our customers with a unified and secure experience, regardless of where their data resides.

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When to Go Out and When to Stay In: RAG vs. Fine-tuning

KDnuggets

This article presents a comprehensive discussion of when to choose which approach for your LLM and potential hybrid solutions.

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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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Modern Data Architecture: Data Mesh and Data Fabric 101

Precisely

Key Takeaways: Data mesh is a decentralized approach to data management, designed to shift creation and ownership of data products to domain-specific teams. Data fabric is a unified approach to data management, creating a consistent way to manage, access, and share data across distributed environments. Both approaches empower your organization to be more agile, data-driven, and responsive so you can make informed decisions in real time.

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Differential Backups in MyRocks Based Distributed Databases at Uber

Uber Engineering

Learn about how the Storage team at Uber significantly reduced costs and improved speed for backups of its Petabyte-scale, MyRocks-based distributed databases by devising a Differential Backups solution.

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Win the CSP & MSP Markets by Leveraging Confluent’s Data Streaming Platform and OEM Program

Confluent

Deploying Confluent Platform in conjunction with Confluent's OEM Program can help CSPs and MSPs develop high-margins, while maintaining operational excellence and lowering risk.

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What Programming Language Should Game Developers Know?

KDnuggets

Here are some of the main computer programming/coding languages every budding game developer should take time to learn.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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Retain Customers with Faster, Friendlier Claims: 4 Strategies for Insurers

Precisely

Key Takeaways: In the insurance industry, customer satisfaction has a direct impact on your bottom line. Efficient claims processing and transparent communications are key to customer satisfaction. To streamline the claims process and enhance the customer experience, you must adopt automation, self-service, and omnichannel communication solutions. In 2024, property claims customer satisfaction (CSAT) has reached its lowest point in seven years, according to a recent J.D.

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Upgrading Uber’s MySQL Fleet  to version 8.0

Uber Engineering

Learn all about our journey of successfully upgrading our MySQL fleet at Uber from v5.7 to v8.0, enhancing performance and reliability.

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Data Engineering Weekly #195

Data Engineering Weekly

Astasia Myers: The three components of the unstructured data stack LLMs and vector databases significantly improved the ability to process and understand unstructured data. I never thought of PDF as a self-contained document database, but that seems a reality that we can’t deny. The blog is an excellent summary of the existing unstructured data landscape.

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How to Learn SQL the Lazy Way

KDnuggets

This is a simple guide for lazy people who want to learn SQL with minimal effort.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

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Mapping the Devil’s Real Estate Portfolio

ArcGIS

Use the Calculate Color Theorem Field tool, Unique Values symbology, and the Color Scheme editor to map the Devil's real estate portfolio.

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Continuous deployment for large monorepos

Uber Engineering

In this blog, we share how we reimagined CD at Uber to improve deployment automation and UX of managing microservices, while tackling the peculiar challenges of working with large monorepos.

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Understanding K-Fold Target Encoding to Handle High Cardinality

Towards Data Science

Balancing complexity and performance: An in-depth look at K-fold target encoding Photo by Mika Baumeister on Unsplash Introduction Data science practitioners encounter numerous challenges when handling diverse data types across various projects, each demanding unique processing methods. A common obstacle is working with data formats that traditional machine learning models struggle to process effectively, resulting in subpar model performance.

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Fine-Tuning GPT-4o

KDnuggets

Learn how to enhance GPT-4o performance for legal text clarification on your old laptop with just a few lines of code.

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Business Intelligence 101: How To Make The Best Solution Decision For Your Organization

Speaker: Evelyn Chou

Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.

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How to Use Snowflake Create View

Hevo

Creating views based on your queries is crucial for giving users access to data as if it were a table while also allowing them to perform complex operations. By encapsulating these queries as reusable objects, views prevent direct alterations to underlying tables.

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2024 Governance Trends for Data Leaders

phData: Data Engineering

While predicting the future may be impossible (so far), analyzing trends and learning from industry leaders can help us get pretty close. In an effort to better understand where data governance is heading, we spoke with top executives from IT, healthcare, and finance to hear their thoughts on the biggest trends, key challenges, and what insights they would recommend.

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Data Security with Snowflake: Row Access, Masking, and Projection Policies

Cloudyard

Read Time: 5 Minute, 8 Second In a financial institution, sensitive information such as Customer Numbers , transaction details , and customer balances are often needed for internal analysis and reporting. However, due to compliance regulations, access to these fields needs to be restricted based on the user’s role. To solve this, we’ll apply Projection Policies to ensure that only certain roles can see sensitive columns like Customer numbers.

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Data Science for Social Good: Real World Projects Making a Difference

KDnuggets

This article highlights how data science is being used for social good, and making a meaningful impact on society.

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Driving Responsible Innovation: How to Navigate AI Governance & Data Privacy

Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL

Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.