Mon.Jun 17, 2024

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Delta Lake table as a changelog

Waitingforcode

One of the big challenges in streaming Delta Lake is the inability to handle in-place changes, like updates, deletes, or merges. There is good news, though. With a little bit of effort on your data provider's side, you can process a Delta Lake table as you would process Apache Kafka topics, hence without in-place changes.

Kafka 130
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Cloudera Unveils Plans for Annual Pride Celebration in Cork

Cloudera

Pride Month is underway and we at Cloudera are looking forward to joining the global celebration of diversity, equity and the ongoing effort for LGBTQ+ ( L esbian, G ay, B isexual, T ransgender, Q ueer/ Q uestioning) rights and recognition. Pride Month serves as a reminder that the fight for equality and equity for members of the LGBTQ+ community is not over.

Systems 108
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Boost your Productivity with Tool Parameter Overrides in ArcGIS Pro 3.3

ArcGIS

Productivity Update! Learn how to override default parameter values for geoprocessing tools in ArcGIS Pro 3.3. Override Geoprocessing Tool Defaults in ArcGIS Pro 3.

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How to Turn a REST API Into a Data Stream with Kafka and Flink

Confluent

Improve REST API response data w/Kafka and Flink SQL in Confluent Cloud; Automatic connector retriability combats REST flakiness; Demo w/OpenSky data.

Kafka 105
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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’s new for CAD and BIM in ArcGIS Pro 3.3

ArcGIS

Discover what's new in ArcGIS Pro 3.3 for CAD and BIM workflows, allowing you to directly read datasets from Autodesk Revit, Civil 3D, and Industry Foundation Classes.

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What Data Scientists Should Know About OpenUSD

KDnuggets

Let's dive into what data scientists should know about OpenUSD and how it can enhance their workflows.

Data 96

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A Tour of Python NLP Libraries

KDnuggets

Exploring the available text Python packages for your data workflow.

Python 112
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“The Future of AI is Real-Time Data” Manifesto

Striim

To the data scientists pushing the boundaries of what’s possible, the AI experts and enthusiasts who see beyond the horizon, and the techies building tomorrow’s solutions today — this manifesto is for you. The key to unlocking AI’s full potential lies in real time data. Traditional methods no longer suffice in a world that demands instant insights and immediate action.

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5 Free Templates for Data Science Projects on Jupyter Notebook

KDnuggets

Boost your data science project with these templates.

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AI in Financial Fraud Detection and Prevention

RandomTrees

AI technology is revolutionizing and changing the way that fraud detection and prevention are being practiced, especially in the finance industry. AI-driven fraud solutions are increasingly being adopted by financial institutions globally to fight against fast-growing cybercrimes. This article looks into AI’s different uses in financial fraud detection, with a focus on techniques involving anomaly detection, machine learning algorithms, and real-time data analysis that help safeguard the credibi

Banking 52
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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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6 Startups Redefining 3D Workflows with OpenUSD and Generative AI

KDnuggets

Driving the next era of advanced 3D solutions with OpenUSD

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PySpark Explained: The explode and collect_list Functions

Towards Data Science

Two useful functions to nest and un-nest data sets in PySpark Continue reading on Towards Data Science »

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I Took the Google Data Analytics Certification Where 2,148,697 Have Already Enrolled

KDnuggets

These were my thoughts on the certification.

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Streamlit in Snowflake: Improved Customization, Performance and AI Capabilities

Snowflake

Snowflake’s mission is to mobilize the entire world’s data, and there are millions of data scientists and developers who don’t have access to full-stack engineering teams. It’s been our endeavor to bring the power of the AI Data Cloud to every individual developer, data scientist and machine learning engineer, so that they can build and share world-class data apps — all by themselves.

Python 85
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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.