Sat.Jul 06, 2024 - Fri.Jul 12, 2024

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Data+AI Summit 2024 - Retrospective - Streaming

Waitingforcode

Welcome to the first Data+AI Summit 2024 retrospective blog post. I'm opening the series with the topic close to my heart at the moment, stream processing!

Data 130
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The Abstractions Are Making You Dumb (rise of the Shallow Expert)

Confessions of a Data Guy

When I was young and full of myself, writing Perl and PHP, while your ma was still reading you a bedtime story and giving you a stuffy to fall asleep with, I had to program uphill, both ways, in the rain and snow. Not like you milk toast Data Engineers clickty clicking around Databricks and […] The post The Abstractions Are Making You Dumb (rise of the Shallow Expert) appeared first on Confessions of a Data Guy.

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Welcoming Prodvana to Databricks: Investing in Next-Gen Infrastructure

databricks

The Prodvana team joins Databricks to support new innovations in the Data Intelligence Platform infrastructure. Learn more about the vision and what's ahead.

Data 134
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Snowflake Admins Can Now Enforce Mandatory MFA

Snowflake

Snowflake is committed to helping customers protect their accounts and data. That’s why we have been working on product capabilities that allow Snowflake admins to make multifactor authentication (MFA) mandatory and monitor compliance with this new policy. As part of that effort, today we’re announcing several key features: 1. A new authentication policy that requires MFA for all users in a Snowflake account 2.

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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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Tools Every Data Scientist Should Know: A Practical Guide

KDnuggets

Discover the essential tools every data scientist should know to elevate their data science game, from Python and R to SQL and advanced visualization tools.

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Data Integrity vs. Data Quality: How Are They Different?

Precisely

Data can be your organization’s most valuable asset, but only if it’s data you can trust. When companies work with data that is untrustworthy for any reason, it can result in incorrect insights, skewed analysis, and reckless recommendations to become data integrity vs data quality. Two terms can be used to describe the condition of data: data integrity and data quality.

More Trending

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Enhanced 3D Layers in ArcGIS

ArcGIS

Esri is working with partners (Maxar, TomTom) to enhance our 3D basemaps with high-quality commercial data for elevation and buildings layers.

Building 115
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Top 8 GenAI Courses for AWS to Take Now

KDnuggets

This article is for anyone looking to maximize their use of Amazon Web Services (AWS) generative AI (GenAI) services. Here are eight courses that range from beginner to expert level.

AWS 122
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Meta’s approach to machine learning prediction robustness

Engineering at Meta

Meta’s advertising business leverages large-scale machine learning (ML) recommendation models that power millions of ads recommendations per second across Meta’s family of apps. Maintaining reliability of these ML systems helps ensure the highest level of service and uninterrupted benefit delivery to our users and advertisers. To minimize disruptions and ensure our ML systems are intrinsically resilient, we have built a comprehensive set of prediction robustness solutions that ensure stability w

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Patronus AI x Databricks: Training Models for Hallucination Detection

databricks

Hallucinations in large language models (LLMs) occur when models produce responses that do not align with factual reality or the provided context. This.

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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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Introducing Cloudera Observability Premium

Cloudera

There’s nothing worse than wasting money on unnecessary costs. In on-premises data estates, these costs appear as wasted person-hours waiting for inefficient analytics to complete, or troubleshooting jobs that have failed to execute as expected, or at all. They manifest as idle hardware waiting for urgent workloads to come in, ensuring sufficient spare capacity to run them amidst noisy neighbors and resource-hungry, lower-priority workloads.

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Snowflake Expands Leading AI Data Cloud into Global Regulated and Sovereign Markets

Snowflake

Regulated and sovereign markets across the world have stringent requirements stipulating certain important data be kept within geographical borders or even for certain workloads to have dedicated environments, separate from those of other customers. In these markets, organizations need a secure and well-governed data foundation with effective controls to help comply with regulatory requirements.

Cloud 98
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Data Engineering Weekly #179

Data Engineering Weekly

Experience Enterprise-Grade Apache Airflow Astro augments Airflow with enterprise-grade features to enhance productivity, meet scalability and availability demands across your data pipelines, and more. Learn More → Notion: Building and scaling Notion’s data lake Notion writes about scaling the data lake by bringing critical data ingestion operations in-house.

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10 GitHub Repositories to Master Data Science

KDnuggets

Learn data science through interactive courses, books, guides, code examples, projects, and free courses based on top university curricula. Also, access interview questions and best practices.

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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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Supply chain security in NPM - we can be optimistic about the future by Robat Williams

Scott Logic

It seems barely a month goes by without a new supply chain attack making the headlines, and malicious code in dependency packages from package registries such as NPM is a common method. My usual sentiments include “oh another one, what a surprise” , before thoughts eventually turn to - someone really ought to be doing something about this. Fortunately, it turns out that quite a few things are indeed being done - there’s progress, activity, and promising ideas for the future.

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Ripple's Data Evolution: Leveraging Databricks for Next-Gen XRP Ledger Analytics

Ripple Engineering

Introduction: Embracing the Future with Ripple's Data Platform Migration Welcome to a pivotal moment in Ripple's data journey. As leaders at the intersection of blockchain technology and financial services, we're excited to share a transformative step in our data management evolution. We recently embarked on a significant data platform migration, transitioning from Hadoop to Databricks, a move motivated by our relentless pursuit of excellence and our contributions to the XRP Ledge

Hadoop 96
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Data Strategies Map a Journey From Origin To Destination

Snowflake

There is a scene in Mission: Impossible – Rogue Nation where Tom Cruise is hanging onto the outside of a jet as it has taken off. And while, yes, he’s going with it, he’s not really on board or in control. Some data executives feel like that. It’s not enough to establish goals — or, the destination in this metaphor. The data strategy must provide a flight plan for making sure you get there — on time, on budget and, of course, safely on board.

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How to Use the Hugging Face Tokenizers Library to Preprocess Text Data

KDnuggets

Text preprocessing is an important step in NLP. Let's learn how to use the Hugging Face Tokenizers Library to preprocess text data.

Data 112
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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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Taming the tail utilization of ads inference at Meta scale

Engineering at Meta

Tail utilization is a significant system issue and a major factor in overload-related failures and low compute utilization. The tail utilization optimizations at Meta have had a profound impact on model serving capacity footprint and reliability. Failure rates, which are mostly timeout errors, were reduced by two-thirds; the compute footprint delivered 35% more work for the same amount of resources; and p99 latency was cut in half.

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How to best create large 3D web layers in ArcGIS

ArcGIS

You can host scene layers and 3D tiles layers in ArcGIS Online or reference datasets in cloud storage in ArcGIS Enterprise.

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Building a Full-Stack Application With Kafka and Node.js

Confluent

confluent-kafka-javascript offers two APIs for calling Kafka from JS, one KafkaJS-like & one node-rdkafka-like. Learn it by making an app w/producer, consumer & UI.

Kafka 78
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Data Orchestration: The Dividing Line Between Generative AI Success and Failure

KDnuggets

Learn how to streamline data and model orchestration for Generative AI success. Explore practical use cases and a comprehensive guide in this blog.

Data 95
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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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Streamlining the Media Supply Chain

Snowflake

Leaders in the advertising, media and entertainment industries know all too well the importance of the media supply chain. It’s the backbone that keeps things running smoothly, including everything from content creation and management to content distribution and analytics. But media supply chains are becoming more complex to manage for several reasons.

Media 74
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Create a Digital Twin in Seven Days with ArcGIS

ArcGIS

Creation of a Digital Twin in Seven Days with ArcGIS in Zurich

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Delivering Reliable Data and AI Pipelines with Monte Carlo and MotherDuck

Monte Carlo

The DuckDB hype is real — this in-process analytical database has skyrocketed in popularity over the last few years. Known for its columnar storage, vectorized query execution, and scale-up approach to SQL analytics, DuckDB fans proclaim it’s faster, more efficient, and more affordable than other databases. DuckDB is also becoming a must-have layer in many AI stacks.

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How To Debug Running Docker Containers

KDnuggets

Debugging Docker containers is an essential skill when working with containerized applications. Let’s explore the different ways to debug Docker containers.

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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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MiFID II: Data Streaming for Post-Trade Reporting

Confluent

Data streaming with Confluent enables the integration and processing of post-trade data in real time, allowing for compliance with MiFID II. Learn how.

Data 75
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How Google Security Operations Integration Protects Your IBM i and Z Data

Precisely

Key Takeaways: IBM mainframes present unique security challenges that make comprehensive visibility a must-have for modern IT security strategies. A siloed approach to security solutions doesn’t work anymore; strategic business-driven security is essential. Precisely Ironstream facilitates seamless real-time data integration to Google Security Operations, for faster and more effective threat management.

Data 64
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Modernizing Logging at Uber with CLP (Part II)

Uber Engineering

Modernizing the fundamentals of log management at Uber: How we used CLP to build a new logging infra that lets users view and analyze their logs seamlessly, at scale!

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How To Use Docker Tags to Manage Image Versions Effectively

KDnuggets

Docker tags are important for managing and versioning Docker images. This tutorial will teach you how to use Docker tags effectively.

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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.