Sat.Nov 16, 2024 - Fri.Nov 22, 2024

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Challenges You Will Face When Parsing PDFs With Python – How To Parse PDFs With Python

Seattle Data Guy

Scraping data from PDFs is a right of passage if you work in data. Someone somewhere always needs help getting invoices parsed, contracts read through, or dozens of other use cases. Most of us will turn to Python and our trusty list of Python libraries and start plugging away. Of course, there are many challenges… Read more The post Challenges You Will Face When Parsing PDFs With Python – How To Parse PDFs With Python appeared first on Seattle Data Guy.

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DuckDB … reading from s3 … with AWS Credentials and more.

Confessions of a Data Guy

In my never-ending quest to plumb the most boring depths of every single data tool on the market, I found myself annoyed when recently using DuckDB for a benchmark that was reading parquet files from s3. What was not clear, or easy, was trying to figure out how DuckDB would LIKE to read default AWS […] The post DuckDB … reading from s3 … with AWS Credentials and more. appeared first on Confessions of a Data Guy.

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How to Implement Named Entity Recognition with Hugging Face Transformers

KDnuggets

Let's take a look at how we can perform NER using that Swiss army knife of NLP and LLM libraries, Hugging Face's Transformers.

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Celebrating Innovation: Announcing the Finalists of the Databricks Generative AI Startup Challenge

databricks

We are thrilled to unveil the finalists for the Databricks Generative AI Startup Challenge , a competition designed to spotlight innovative early-stage startups.

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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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From IC to Data Leader: Key Strategies for Managing and Growing Data Teams

Seattle Data Guy

There are plenty of statistics about the speed at which we are creating data in today’s modern world. On the flip side of all that data creation is a need to manage all of that data and thats where data teams come in. But leading these data teams is challenging and yet many new data… Read more The post From IC to Data Leader: Key Strategies for Managing and Growing Data Teams appeared first on Seattle Data Guy.

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Expert Insights for Your 2025 Data, Analytics, and AI Initiatives

Precisely

Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities. A long-term approach to your data strategy is key to success as business environments and technologies continue to evolve. The rapid pace of technological change has made data-driven initiatives more crucial than ever within modern business strategies.

More Trending

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Sequence learning: A paradigm shift for personalized ads recommendations

Engineering at Meta

AI plays a fundamental role in creating valuable connections between people and advertisers within Meta’s family of apps. Meta’s ad recommendation engine, powered by deep learning recommendation models (DLRMs) , has been instrumental in delivering personalized ads to people. Key to this success was incorporating thousands of human-engineered signals or features in the DLRM-based recommendation system.

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Snowflake Will Automatically Disable Passwords Detected on the Dark Web

Snowflake

Security has been an integral part of Snowflake’s platform since the company was founded. Through the security capabilities of Snowflake Horizon Catalog , we empower security admins and CISO’s to better protect their environments. As part of our continued efforts to help customers secure their accounts, and in line with our pledge to align with CISA’s Secure By Design principles, we are announcing the general availability of Snowflake Leaked Password Protection (LPP).

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Expert Insights for Your 2025 Data, Analytics, and AI Initiatives

Precisely

Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities. A long-term approach to your data strategy is key to success as business environments and technologies continue to evolve. The rapid pace of technological change has made data-driven initiatives more crucial than ever within modern business strategies.

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Pursue a Master’s in Data Science with the 4th Best Online Program

KDnuggets

100% online master’s program with flexible schedules designed for working professionals. Enrolling now for March 3rd.

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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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November 2024 Top 10 (by Monte Carlo)

Data Council

For this month's top ten, Lindsay MacDonald from Monte Carlo asks a critical question: Is data ready for GenAI? While AI seems ready to take off, are our data foundations really prepared? Let’s find out.

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CDC and Data Streaming: Capture Database Changes in Real Time with Debezium PostgreSQL Connector

Confluent

CDC has evolved to become a key component of data streaming platforms, and is easily enabled by managed connectors such as the Debezium PostgreSQL CDC connector.

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Secrets of Spark to Snowflake Migration Success: Customer Stories

Snowflake

Today’s business landscape is increasingly competitive — and the right data platform can be the difference between teams that feel empowered or impaired. I love talking with leaders across industries and organizations to hear about what’s top of mind for them as they evaluate various data platforms. In these conversations, there are a number of questions that I hear time and time again: Will my data platform be scalable and reliable enough?

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7 Advanced SQL Techniques for Data Manipulation in Data Science

KDnuggets

Can SQL be used for advanced data manipulation in data science? It sure can with these seven techniques.

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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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Mirroring SQL Server Database to Microsoft Fabric

Striim

SQL2Fabric Mirroring is a new fully managed service offered by Striim to mirror on premise SQL Databases. It’s a collaborative service between Striim and Microsoft based on Fabric Open Mirroring that enables real-time data replication from on-premise SQL Server databases to Azure Fabric OneLake. This fully managed service leverages Striim Cloud’s integration with the Microsoft Fabric stack for seamless data mirroring to Fabric Data Warehouse and Lake House.

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Introducing Predictive Optimization for Statistics

databricks

We are excited to introduce the gated Public Preview of Predictive Optimization for statistics. Announced at the Data + AI Summit, Predictive Optimization.

Data 52
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9 Best Practices for Transitioning From On-Premises to Cloud

Snowflake

On a day-to-day basis, Snowflake teams identify opportunities and help customers implement recommended best practices that ease the migration process from on-premises to the cloud. They also monitor potential challenges and advise on proven patterns to help ensure a successful data migration. This article highlights nine key areas to watch out for and plan around in order to accelerate a smooth transition to the cloud.

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Exploring Python’s Ellipsis (…) : More than Just Syntax Sugar

KDnuggets

Ever wondered what the three dots (.) in Python are used for? Discover how this powerful operator can simplify your code!

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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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Data Quality with Snowflake Data Metric Functions (DMF)

Cloudyard

Read Time: 4 Minute, 21 Second Snowflake’s Data Metric Functions (DMF) are powerful tools designed to ensure data quality and governance. By enabling automated checks and validations, DMFs allow organizations to monitor their data continuously and enforce business rules. With built-in and custom metrics, DMFs simplify the process of validating large datasets and identifying anomalies.

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Automating Unity Catalog Upgrade Workflows with UCX

databricks

As organizations increasingly leverage the Databricks Data Intelligence Platform for data and AI needs, upgrading to Unity Catalog is a key step in.

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Seamlessly Connect IoT Data Streams: Integrating Confluent Cloud with AWS IoT Core

Confluent

Combine AWS IoT Core with Confluent Cloud to contextualize your IoT data using your other data sources. Learn more and get a full setup tutorial.

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Run Local LLMs with Cortex

KDnuggets

Check out this local AI model manager similar to Ollama, but better.

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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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Collision Risk in Hash-Based Surrogate Keys

Towards Data Science

Various aspects and real-life analogies of the odds of having a hash collision when computing Surrogate Keys using MD5, SHA-1, and SHA-256.

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From Data Warehousing to Data Intelligence: How Data Took Over

databricks

While GenAI is the focus today, most enterprises have been working for a decade or longer to make data intelligence a reality within.

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Change Data Capture at Pinterest

Pinterest Engineering

Liang Mou; Staff Software Engineer, Logging Platform | Elizabeth (Vi) Nguyen; Software Engineer I, Logging Platform | In today’s data-driven world, businesses need to process and analyze data in real-time to make informed decisions. Change Data Capture (CDC) is a crucial technology that enables organizations to efficiently track and capture changes in their databases.

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A Guide to Data Analysis in Python with DuckDB

KDnuggets

Learn how to perform data analysis in Python using DuckDB.

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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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Rewiring My Career: How I Transitioned from Electrical Engineering to Data Engineering

Towards Data Science

Data is booming. It comes in vast volumes and variety and this explosion comes with a plethora of job opportunities too. Is it worth switching to a data career now? My honest opinion: absolutely! It is worth mentioning that this article comes from an Electrical and Electronic Engineer graduate who went all the way and spent almost 8 years in academia learning about the Energy sector (and when I say all the way, I mean from a bachelor degree to a PhD and postdoc).

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Databricks training invests in closing the data + AI skills gap across enterprises

databricks

The Data + AI Skills Gap The “skills gap” has been a concern for CEOs and leaders for many years, and the gap.

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The Gen-OS Newsletter - Is DareData Changing?

DareData

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AI in Cybersecurity: The Solution to Protecting Yourself

KDnuggets

It is always good to remind yourself that you’re not immune to cyber threats. Nobody is unless they implement the right practices to ensure their safety.

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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.