Sat.Nov 09, 2024 - Fri.Nov 15, 2024

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How To Future-Proof Your Data Pipelines

Ascend.io

Why Future-Proofing Your Data Pipelines Matters Data has become the backbone of decision-making in businesses across the globe. The ability to harness and analyze data effectively can make or break a company’s competitive edge. But when data processes fail to match the increased demand for insights, organizations face bottlenecks and missed opportunities.

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What is Unstructured Data? A Guide to Storage, Processing, and Analysis

Seattle Data Guy

Much of the data we have used for analysis in traditional enterprises has been structured data. It’s easy for humans to break down, understand, and, in turn, find insights from it. However, much of the data that is being created and will be created comes in some form of unstructured format. However, the digital era… Read more The post What is Unstructured Data?

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15+ Companies Using DuckDB in Production: A Comprehensive Guide

Simon Späti

From Fortune 500 companies processing trillions of security records to innovative startups building interactive data tools, DuckDB is revolutionizing how organizations handle analytical workloads. Building on our exploration of DuckDB’s core capabilities in Part 1 , this guide showcases production implementations and promising experimental applications across five key categories.

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Robinhood Crypto Expands Offering with Solana (SOL), Pepe (PEPE), Cardano (ADA) & XRP (XRP) for U.S. Customers

Robinhood

Robinhood Crypto’s commitment to expanding access and maintaining a safe, easy-to-use platform deepens with the addition of 4 digital assets Today, Robinhood Crypto announced the addition of Solana (SOL), Pepe (PEPE), Cardano (ADA) & XRP (XRP) to its U.S. platform, bringing the total number of cryptocurrencies available for trading to 19. You can see a full list of crypto assets currently available in the U.S. here.

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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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AnythingLLM: The LLM Application You’ve Been Waiting For

KDnuggets

Turn any document into a conversation-ready AI tool with AnythingLLM — a versatile, open-source platform for building a secure, private assistant.

Building 124
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How Data Teams Drive Business Success by Understanding Core Metrics

Seattle Data Guy

A key responsibility for any data team is to understand the core metrics driving their business. Starting from the top, these metrics often include figures like gross revenue and expenses. However, these high-level metrics can feel too far removed and abstract from the actual business. Many companies, therefore, break down these top-line metrics into more… Read more The post How Data Teams Drive Business Success by Understanding Core Metrics appeared first on Seattle Data Guy.

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They Handle 500B Events Daily. Here’s Their Data Engineering Architecture.

Monte Carlo

A data engineering architecture is the structural framework that determines how data flows through an organization – from collection and storage to processing and analysis. It’s the big blueprint we data engineers follow in order to transform raw data into valuable insights. Before building your own data architecture from scratch though, why not steal – er, learn from – what industry leaders have already figured out?

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7 Ways to Improve Your Data Cleaning Skills with Python

KDnuggets

Improve your Python data cleaning by fixing invalid entries, converting types, encoding variables, handling outliers, selecting features, scaling, and filling missing values.

Python 115
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Netflix’s Distributed Counter Abstraction

Netflix Tech

By: Rajiv Shringi , Oleksii Tkachuk , Kartik Sathyanarayanan Introduction In our previous blog post, we introduced Netflix’s TimeSeries Abstraction , a distributed service designed to store and query large volumes of temporal event data with low millisecond latencies. Today, we’re excited to present the Distributed Counter Abstraction. This counting service, built on top of the TimeSeries Abstraction, enables distributed counting at scale while maintaining similar low latency performance.

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AI Agent Systems: Modular Engineering for Reliable Enterprise AI Applications

databricks

Monolithic to Modular The proof of concept (POC) of any new technology often starts with large, monolithic units that are difficult to characterize.

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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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Octopai Acquisition Enhances Metadata Management to Trust Data Across Entire Data Estate

Cloudera

We are excited to announce the acquisition of Octopai , a leading data lineage and catalog platform that provides data discovery and governance for enterprises to enhance their data-driven decision making. Cloudera’s mission since its inception has been to empower organizations to transform all their data to deliver trusted, valuable, and predictive insights.

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Using Pandas and SQL Together for Data Analysis

KDnuggets

In this tutorial, we’ll explore when and how SQL functionality can be integrated within the Pandas framework, as well as its limitations.

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Simplifying Data Architecture and Security to Accelerate Value

Snowflake

It’s easy these days for an organization’s data infrastructure to begin looking like a maze, with an accumulation of point solutions here and there. While some businesses find ways to stitch together many tools with complex pipelines, wouldn’t it be better if you could remove some of the steps? What if you could streamline your efforts while still building an architecture that best fits your business and technology needs?

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The state of enterprise AI: How early adopters are driving success

databricks

When the Generative AI boom first ignited, every enterprise rushed to deploy the technology. For many, that excitement remains. But companies are also.

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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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Empower Your Cyber Defenders with Real-Time Analytics Author: Carolyn Duby, Field CTO

Cloudera

Today, cyber defenders face an unprecedented set of challenges as they work to secure and protect their organizations. In fact, according to the Identity Theft Resource Center (ITRC) Annual Data Breach Report , there were 2,365 cyber attacks in 2023 with more than 300 million victims, and a 72% increase in data breaches since 2021. The constant barrage of increasingly sophisticated cyberattacks has left many professionals feeling overwhelmed and burned out.

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5 Cheat Sheets for Getting Started in Data Science

KDnuggets

Check out these 5 KDnuggets cheat sheets designed for the data science beginner, covering from introductory coding through to data cleaning, exploration, manipulation, and modeling.

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Snowflake Unistore: Hybrid Tables Now Generally Available

Snowflake

Today we're thrilled to announce the general availability of Hybrid Tables in all AWS commercial regions (with a few exceptions ). As part of Snowflake Unistore , Hybrid Tables unify both transactional and analytical workloads on a single database to simplify architectures as well as governance and security. Since launching the public preview of Hybrid Tables this year, we have seen adoption across industries from customers such as Siemens , Panther, Mutual of Omaha, PowerSchool , MarketWise and

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Securing the Future: How AI Gateways Protect AI Agent Systems in the Era of Generative AI

databricks

Generative AI has become a powerful reality, transforming industries by enhancing customer experiences and automating decisions. As organizations integrate AI agent systems into.

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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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Enable Image Analysis with Cloudera’s New Accelerator for Machine Learning Projects Based on Anthropic Claude

Cloudera

Enterprise organizations collect massive volumes of unstructured data, such as images, handwritten text, documents, and more. They also still capture much of this data through manual processes. The way to leverage this for business insight is to digitize that data. One of the biggest challenges with digitizing the output of these manual processes is transforming this unstructured data into something that can actually deliver actionable insights.

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A New Python Package Manager

KDnuggets

Manage Python projects, run scripts and tools, handle dependencies, and install packages—all with the uv tool.

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How Meta built large-scale cryptographic monitoring

Engineering at Meta

Cryptographic monitoring at scale has been instrumental in helping our engineers understand how cryptography is used at Meta. Monitoring has given us a distinct advantage in our efforts to proactively detect and remove weak cryptographic algorithms and has assisted with our general change safety and reliability efforts. We’re sharing insights into our own cryptographic monitoring system, including challenges faced in its implementation, with the hope of assisting others in the industry aiming to

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Building a Modern Clinical Trial Data Intelligence Platform

databricks

In an era where data is the lifeblood of medical advancement, the clinical trial industry finds itself at a critical crossroads. The current.

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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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Understanding Master Data Management (MDM) and Its Role in Data Integrity

Precisely

Key Takeaways : MDM delivers a unified holistic view of your data across domains, so you can make faster, more accurate decisions. Challenges around data literacy, readiness, and risk exposure need to be addressed – otherwise they can hinder MDM’s success Businesses that excel with MDM and data integrity can trust their data to inform high-velocity decisions, and remain compliant with emerging regulations.

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Developing Robust ETL Pipelines for Data Science Projects

KDnuggets

In this article, we’ll look at how to build ETL pipelines for data science projects.

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Introducing Cloudera Fine Tuning Studio for Training, Evaluating, and Deploying LLMs with Cloudera AI

Cloudera

Large Language Models (LLMs) will be at the core of many groundbreaking AI solutions for enterprise organizations. Here are just a few examples of the benefits of using LLMs in the enterprise for both internal and external use cases: Optimize Costs. LLMs deployed as customer-facing chatbots can respond to frequently asked questions and simple queries.

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Scaling MATLAB and Simulink models with Databricks and Mathworks

databricks

Whether you’re coming from healthcare, aerospace, manufacturing, government or any other industries the term big data is no foreign concept; however how that.

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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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Introducing Spotter: ThoughtSpot’s AI Analyst for everyone

ThoughtSpot

Just like cloud computing changed digital businesses over time, the momentum of AI innovation foreshadows an evolution in business operations and decision-making. Instead of solely focusing on what happened or what might happen, AI will illuminate the actions that lead to better business outcomes. This is the next step in the AI evolution, one that will empower your business to shift from human-initiated, tech-assisted processes, to AI-initiated, human-supervised actions.

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How to Learn AI the Lazy Way

KDnuggets

Embrace your inner lazy learner and focus on being efficient with your time and energy.

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Presto® Express: Speeding up Query Processing with Minimal Resources

Uber Engineering

Slow Presto® queries can hinder data-driven operations. At Uber, we designed Presto express to achieve a 50% improvement in the end-to-end SLA for 70% of queries using query analysis, real-time insights, and resource isolation.

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Introducing Structured Outputs for Batch and Agent Workflows

databricks

Many AI use cases now depend on transforming unstructured inputs into structured data. Developers are increasingly relying on LLMs to extract structured data.

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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.