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How To Automate PDF Data Extraction – 3 Different Methods To Parse PDFs For Analytics

Seattle Data Guy

I.f you work in data, then at some point in your career, you’ll likely need to parse data from a PDF. You might need to parse thousands of PDFs in order to pull out invoice information. Or maybe you need to parse financial filing documents such as 10-Ks. This can seem challenging at first. Afterall,… Read more The post How To Automate PDF Data Extraction – 3 Different Methods To Parse PDFs For Analytics appeared first on Seattle Data Guy.

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Women on Wednesday with Kaylee Andrews

Precisely

Recognizing and supporting women in technology is a top priority at Precisely. Whether it’s hosting virtual events for women to connect, or encouraging mentoring opportunities, the Precisely Women in Technology (PWIT) program goes above and beyond to ensure that women in the organization have a great network to lean on. Each month, a PWIT member is featured to share her experience navigating the tech industry.

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7 Steps to Mastering Coding for Data Science

KDnuggets

Are you an aspiring data scientist or early in your data science career? If so, you know that you should use your programming, statistics, and machine learning skills—coupled with domain expertise—to use data to answer business questions. To succeed as a data scientist, therefore, becoming proficient in coding is essential. Especially for handling and analyzing.

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Build Compound AI Systems Faster with Databricks Mosaic AI

databricks

Many of our customers are shifting from monolithic prompts with general-purpose models to specialized compound AI systems to achieve the quality needed for.

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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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Snowflake Data Clean Rooms Powering the Privacy-First Era

Snowflake

Privacy is no longer a growing requirement for doing business — it's the new status quo. The stakes for not protecting it have only intensified. Consumers have been demanding greater control and privacy over their data for years, and now vast numbers are taking action to protect it , turning off tracking, using cookieless environments and relying on ad blockers at rapidly increasing rates.

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Robinhood Crypto Launches Crypto Transfers in Europe 

Robinhood

Robinhood Crypto customers in Europe can now deposit and withdraw 20+ cryptocurrencies, and will earn a 1% deposit match for a limited time Robinhood Crypto has launched crypto transfers for customers in Europe, which is one of the most requested features in the region. Crypto transfers enable customers to deposit and withdraw more than 20 cryptocurrencies, including Bitcoin (BTC), Ethereum (ETH), Solana (SOL), USD Coin (USDC), and others, giving them greater flexibility and control over their d

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The Global Impact of Cloudera in Our Daily Lives

Cloudera

Cloudera customers understand the potential impact of data, analytics, and AI on their respective businesses — reducing costs, managing risk, improving customer satisfaction, and generating new business opportunities that help to increase market share. But, what is the ultimate impact of all this effort and investment on each of us in our daily lives?

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Generating Coding Tests for LLMs: A Focus on Spark SQL

databricks

Introduction Applying Large Language Models (LLMs) for code generation is becoming increasingly prevalent, as it helps you code faster and smarter. A primary.

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Data Engineering Weekly #191

Data Engineering Weekly

Airbnb: Sandcastle - data/AI apps for everyone Product ideas powered by data and AI must go through rapid iteration on shareable, lightweight live prototypes instead of static proposals. However, hosting an internal application for fast prototyping is always a challenging platform to build and maintain. Airbnb writes about Sandcastle, an Airbnb-internal prototyping platform that enables data scientists, engineers, and product managers to bring data/AI ideas to life.

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Driving Innovation and Efficiency with Gen AI in Life Sciences

Snowflake

AI has profoundly impacted the life sciences industry for the past couple of decades. In the 2000s, researchers were able to use AI to analyze the human genome, identifying genetic markers and variations that could predict an individual’s susceptibility to certain diseases. This opened the door to personalized medicine and more effective therapies for genetic disorders.

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Building Your BI Strategy: How to Choose a Solution That Scales and Delivers

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 R for Text Mining

KDnuggets

Text mining in R helps you explore large text data to find patterns and insights. This article walks through the basics of using R for text mining, from data preparation to analysis.

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PMP vs Scrum: Which Certification is Best for Your Career?

Knowledge Hut

A project is a vast, complex term that comes with its own set of prerequisites - which become the foundation for the entire project lifecycle. Knowing project requirements, ensuring resources, estimating costs, creating budgets, and tracking progress are just a few of the must-haves that determine the execution of your project. There are various project management frameworks and methods based on scope of the project and the industry in some cases.

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Enterprise AI: Your Guide to How Artificial Intelligence is Shaping the Future of Business

databricks

What is enterprise AI? Enterprise AI combines artificial intelligence, machine learning and natural language processing (NLP) capabilities with business intelligence. Organizations use enterprise.

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Implementing Python Data Lineage: Manual Techniques & 3 Automated Tools

Monte Carlo

It’s 9am and you’re rushing to generate a report for your 10 a.m. meeting. But as you scan the numbers, something feels… off. Sales weren’t stellar this quarter, but you didn’t expect them to be this low. Something’s definitely wrong. Now, what do you do? Without Python data lineage, you could waste valuable time hunting through databases, running SQL queries to trace the numbers back to their source.

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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.

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Engineering Privacy: A Technical Overview of Privacy in Data Systems

Data Engineering Weekly

Once again, I want to thank the Data Heros community. Last Friday, we discussed the challenges in bulk discovery and anonymization processes in data warehouses. The collective design choices and ideas lead to a comprehensive overview of thinking about designing data infrastructure with a privacy-first approach. Why care about privacy? Privacy and access management within data infrastructure is not just a best practice; it's a necessity.

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Has Europe Gone Too Far? The Delicate Dance of Regulation and Innovation

KDnuggets

While one can argue that Europe’s cautious regulatory approach might hinder innovation and competition in AI compared to more permissive regions like the US and China, the challenge is more nuanced.

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How Hybrid Mesh unlocks dbt collaboration at scale

dbt Developer Hub

One of the most important things that dbt does is unlock the ability for teams to collaborate on creating and disseminating organizational knowledge. In the past, this primarily looked like a team working in one dbt Project to create a set of transformed objects in their data platform. As dbt was adopted by larger organizations and began to drive workloads at a global scale, it became clear that we needed mechanisms to allow teams to operate independently from each other, creating and sharing da

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Unlocking Financial Insights with a Custom Text-to-SQL Application

databricks

Introduction Retrieval-augmented generation (RAG) has revolutionized how enterprises harness their unstructured knowledge base using Large Language Models (LLMs), and its potential has far-reaching.

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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

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Monte Carlo Recognized as the #1 Data Observability Platform by G2 for 6th Consecutive Quarter

Monte Carlo

For the sixth consecutive quarter, Monte Carlo has been named G2’s #1 Data Observability Platform. This recognition is especially meaningful to our team because G2 relies on feedback and ratings from real customers — individuals who use these tools daily to accomplish their tasks and create more value for their business. Filling our trophy case with G2 badges is wonderful, but mostly, we’re delighted to know our products are helping our customers create more value from data and achieve their go

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Everything You Need to Know: The 7 Processes of PRINCE2

Knowledge Hut

PRINCE2 ® is considered the abbreviation of Projects IN Controlled Environments and it is a structured project management process as well as the practitioner certification programme. It lays stress on dividing projects into controllable and manageable stages. There are many countries from all across the globe that adopt PRINCE2 ® and those countries include Western European countries, the UK, and Australia.

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Using Llama 3.2 Locally

KDnuggets

Learn how to download and use Llama 3.2 models locally using Msty. Also, learn how to access the Llama 3.2 vision models at the speed of light using the Groq API.

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Your Guide to the Apache Flink® Table API: An In-Depth Exploration

Confluent

Discover the Flink Table API, which helps developers express complex data processing in Java or Python. Get practical examples and guidance for your workflows.

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What Is Entity Resolution? How It Works & Why It Matters

Entity Resolution Sometimes referred to as data matching or fuzzy matching, entity resolution, is critical for data quality, analytics, graph visualization and AI. Learn what entity resolution is, why it matters, how it works and its benefits. Advanced entity resolution using AI is crucial because it efficiently and easily solves many of today’s data quality and analytics problems.

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AVEVA World Conference: Redefining Industrial AI with AVEVA & Databricks

databricks

The upcoming AVEVA World Conference in Paris (Oct 14-17) promises to be a landmark event for the future of industrial AI, with Databricks playing a pivotal role in shaping this new paradigm. Building on our strategic collaboration, Databricks and AVEVA are set to showcase how our combined technologies are driving unprecedented outcomes for industrial organizations worldwide.

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How to Power Successful AI Projects with Trusted Data

Precisely

Key Takeaways: Trusted AI requires data integrity. For AI-ready data, focus on comprehensive data integration, data quality and governance, and data enrichment. A structured, business-first approach to AI is essential. Start with clear business use cases and ensure collaboration between business and IT teams for the greatest impact. Building data literacy across your organization empowers teams to make better use of AI tools.

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BigQuery Cost Optimization: Simple Strategies to Save Money

Hevo

Have you ever opened the billing section of a BigQuery account and got a shocking surprise? You are not alone. BigQuery is a powerful tool, but this power does not come for free all the time. It can quickly deplete your budget if you do not practice good cost management.

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Fundamentals of Effective Prompt Engineering

KDnuggets

The launch of foundational models, popularly called Large Language Models (LLMs), created new ways of working – not just for the enterprises redefining the legacy ways of doing business, but also for the developers leveraging these models. The remarkable ability of these models to comprehend and respond in human-like language has given rise to.

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Enhance Customer Value: Unleash Your Data’s Potential

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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Allure of Data in Motion Inspires Move to Confluent’s Professional Services Team

Confluent

Read our latest Confluent Champion post to learn what motivated Nadine Capelle, staff solutions architect in Professional Services, to join the world of data streaming.

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From Generalists to Specialists: The Evolution of AI Systems toward Compound AI

databricks

The buzz around compound AI systems is real, and for good reason. Compound AI systems combine the best parts of multiple AI models.

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A Comprehensive Overview of Microsoft Fabric & Its Use Cases

RandomTrees

What is Microsoft Fabric? A cloud-based software as a service (SaaS) called Microsoft Fabric combines several data and analytics technologies that businesses require. Data Factory, Data Activator, Power BI, Synapse Real-Time Analytics, Synapse Data Engineering, Synapse Data Science, and Synapse Data Warehouse are some of them. With One Lake serving as a primary multi-cloud repository, Fabric is designed with an open, lake-centric architecture.

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Best REST API ETL Tools for Seamless Data Integration

Hevo

Today most organizations are of the opinion that public APIs should be tapped into and useful information extracted there from. The same, however triggers a sound ETL solution to handle the data correctly.

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How To Speak The Language Of Financial Success In Product Management

Speaker: Jamie Bernard

Success in product management goes beyond delivering great features - it’s about achieving measurable financial outcomes that resonate across the organization. By connecting your product’s journey with the company’s financial success, you’ll ensure that every feature, release, and innovation contributes to the bottom line, driving both customer satisfaction and business growth.