Sat.Sep 09, 2023 - Fri.Sep 15, 2023

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An Overview Of The Sate Of Data Orchestration In An Increasingly Complex Data Ecosystem

Data Engineering Podcast

Summary Data systems are inherently complex and often require integration of multiple technologies. Orchestrators are centralized utilities that control the execution and sequencing of interdependent operations. This offers a single location for managing visibility and error handling so that data platform engineers can manage complexity. In this episode Nick Schrock, creator of Dagster, shares his perspective on the state of data orchestration technology and its application to help inform its im

BI 208
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The Role of DevOps and CI/CD in Data Engineering

Confessions of a Data Guy

In the vast world of data, it’s not just about gathering and analyzing information anymore; it’s also about ensuring that data pipelines, processes, and platforms run seamlessly and efficiently. Nothing screams “why are flying by night,” than coming into a Data Team only to find no tests, no docs, no deployments, no Docker, no nothing. […] The post The Role of DevOps and CI/CD in Data Engineering appeared first on Confessions of a Data Guy.

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GPT and LLMs from a Data Engineering Perspective

Jesse Anderson

There has been quite a bit of writing covering GPT and LLMs from data science and business perspectives. I haven’t seen much from the data engineering side. Let me share my perspective, having been in data and AI for a while and using LLMs before they became popular. It is interesting to see the general public having the same amount of excitement as there was a year ago in the LLM space.

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Data News — Week 23.37

Christophe Blefari

Facing the News ( credits ) Hello Data News readers. I'm still struggling to get back into my usual work rhythm. If you add the fact that last week I came up with fewer articles than I expected, this has led me to another blank page. Anyway, after 2 years of work, I have to accept and let go when necessary. But don't worry I don't forget you.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Apache Flink best practices - Flink Forward lessons learned

Waitingforcode

I won't hide it, I'm still a fresher in the Apache Flink world and despite my past streaming experiences with Apache Spark Structured Streaming and GCP Dataflow, I need to learn. And to learn a new tool or concept, there is nothing better than watching some conference talks!

IT 130
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How To Set Up Your Data Analytics Team For Success – Centralized vs Decentralized vs Federated Data Teams

Seattle Data Guy

Success in the data world hinges on team setup. I’ve delved into onboarding and standards in previous articles, but never into the structure of data teams. Typically, there are three configurations: Centralized, Decentralized, and Federated. Most companies I’ve seen use a mix of these. While the newest tech breakthroughs grab headlines, team organization is the… Read more The post How To Set Up Your Data Analytics Team For Success – Centralized vs Decentralized vs Federat

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Best Practices for LLM Evaluation of RAG Applications

databricks

Chatbots are the most widely adopted use case for leveraging the powerful chat and reasoning capabilities of large language models (LLM). The retrieval.

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Meta Quest 2: Defense through offense

Engineering at Meta

Meta’s Native Assurance team regularly performs manual code reviews as part of our ongoing commitment to improve the security posture of Meta’s products. In 2021, we discovered a vulnerability in the Meta Quest 2’s Android-based OS that never made it to production but helped us find new ways to improve the security of Meta Quest products. We’re sharing our journey to get arbitrary native code execution in the privileged VR Runtime service on the Meta Quest 2 by exploiting a memory corruption v

Bytes 132
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Mode + ThoughtSpot recognized as Leaders in Snowflake’s 2023 Modern Marketing Data Stack awards

ThoughtSpot

We’re thrilled to announce that both ThoughtSpot and Mode ( acquired by ThoughtSpot in July 2023 ) have been recognized as Leaders in Snowflake's recent Modern Marketing Data Stack report! Given the ever-evolving landscape of modern data analytics products, organizations are looking to ThoughtSpot and Mode when seeking innovative solutions—helping them harness the power of their marketing data.

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The 5 Best AI Tools For Maximizing Productivity

KDnuggets

KDnuggets reviews a diverse set of 5 AI tools to help maximize your productivity. Have a look and see what our recommendations include.

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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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Power Holistic Customer Insights with Salesforce and Snowflake Data Sharing-Based Integration

Snowflake

Snowflake and Salesforce have built on our existing partnership to unify the full breadth of customer and business data and generate actionable insights for our customers. We are happy to announce the general availability of Bring Your Own Lake (BYOL) Data Sharing with the Snowflake Data Cloud from Salesforce Data Cloud. Organizations can now leverage Salesforce data directly in Snowflake via zero-ETL data sharing to accelerate decision-making and help streamline business processes.

Finance 110
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Introducing MLflow 2.7 with new LLMOps capabilities

databricks

As part of MLflow 2’s support for LLMOps, we are excited to introduce the latest updates to support prompt engineering in MLflow 2.7. A.

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Last Mile Data Processing with Ray

Pinterest Engineering

Raymond Lee | Software Engineer II; Qingxian Lai | Sr. Software Engineer; Karthik Anantha Padmanabhan | Manager II, Engineering; Se Won Jang | Manager II, Engineering Photo by Claudio Schwarz on Unsplash Our mission at Pinterest is to bring everyone the inspiration to create the life they love. Machine Learning plays a crucial role in this mission. It allows us to continuously deliver high-quality inspiration to our 460 million monthly active users, curated from billions of pins on our platform.

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KDnuggets Top Posts for August 2023: Forget ChatGPT, This New AI Assistant Will Change the Way You Work

KDnuggets

Forget ChatGPT, This New AI Assistant Is Leagues Ahead and Will Change the Way You Work Forever • 7 Projects Built with Generative AI • Best Python Tools for Building Generative AI Applications Cheat Sheet • Harnessing ChatGPT for Automated Data Cleaning and Preprocessing • Data Scientists Need to Specialize to Survive the Tech Winter • 7 Steps to Mastering Data Cleaning and Preprocessing Techniques • 5 Ways You Can Use ChatGPT's Code Interpreter For Data Science • The Best Courses for AI from U

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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 Tips for Setting the Price of Your Data Product

Snowflake

Building your data product is only the beginning. You’ve considered a wide variety of use cases, and settled on the one you’ll focus on. Maybe you’re going to help hospitals predict emergency room visits and optimize their staffing. Or you’re going to enable restaurants to reduce their food waste. Or maybe you just have some really unique data that you think might be of use to someone.

Food 105
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A Watershed Moment

ArcGIS

Updated data from the Watershed Boundary Dataset (WBD) are added to Living Atlas as new feature services.

Datasets 127
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Measuring Technical Debt to Avoid the Boiling Frog Syndrome

Booking.com Engineering

source Software development is all about change. And, over the lifespan of our software, the goal is to implement required changes in a reasonable amount of time. Whether the changes are technical in nature, like an urgent security upgrade, or stem from a business need, such as building a new feature to make us more competitive in target markets — how fast we can change is critical.

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KDnuggets News, September 13: Getting Started with SQL in 5 Steps • Introduction to Databases in Data Science

KDnuggets

Getting Started with SQL in 5 Steps • Introduction to Databases in Data Science • Time 100 AI: The Most Influential?

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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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How Marriott Modernized Their Data Architecture with Snowflake

Snowflake

More than 50% of data leaders recently surveyed by BCG said the complexity of their data architecture is a significant pain point in their enterprise. Companies hampered by legacy data architectures are often plagued by a high total cost of ownership (TCO), an inability to govern data, and a lack of scalability as their data volumes grow. “As a result,” says BCG, “many companies find themselves at a tipping point, at risk of drowning in a deluge of data, overburdened with complexity and costs.

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Crossing Bridges: Reporting on NYC taxi data with RStudio and Databricks

databricks

As data enthusiasts, we love uncovering stories in datasets. With Posit’s RStudio Desktop and Databricks Lakehouse, you can analyze data with dplyr, create i.

Datasets 102
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How to Build an Interactive Real-Time Chat Application with Websockets?

Workfall

Reading Time: 11 minutes What is Socket.io? Socket.io , a widely-used JavaScript library, offers a framework for facilitating real-time, two-way communication between web clients (like browsers) and servers. It uses WebSockets as the primary communication method but also offers fallback options such as long polling for environments where WebSockets may not be supported.

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Getting Started with SQL in 5 Steps

KDnuggets

This comprehensive SQL tutorial covers everything from setting up your SQL environment to mastering advanced concepts like joins, subqueries, and optimizing query performance. With step-by-step examples, this guide is perfect for beginners looking to enhance their data management skills.

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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Data Cloud Industry Day 2023: Your Event Guide

Snowflake

The first annual Data Cloud Industry Day is here! Data Cloud Industry Day 2023 is a free virtual event on September 28, 2023, dedicated to what’s possible for you and your industry in the world of data. From leading-edge innovations to seamless solutions to your toughest industry-specific challenges, Industry Day provides the insights and information you need to drive business value with your data.

Cloud 94
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Introducing Apache Spark™ 3.5

databricks

Today, we are happy to announce the availability of Apache Spark™ 3.5 on Databricks as part of Databricks Runtime 14.0. We extend our s.

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A Talented Team, Innovative Technology, and The Opportunity to Grow. There Is No Place Like Cloudera

Cloudera

I started my current career path with Hortonworks in 2016, back when we still had to tell people what Hadoop was. Once I got to work with all the amazing open-source Apache tools I was hooked. I found Apache NiFi especially interesting. Soon after, I became a huge fan of Apache Kafka. Coupled with amazing technology was an amazing team that only grew and improved with the merger with Cloudera.

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Working with Big Data: Tools and Techniques

KDnuggets

Where do you start in a field as vast as big data? Which tools and techniques to use? We explore this and talk about the most common tools in big data.

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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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Marketing Success in the Age of AI Requires a Modern Marketing Data Stack

Snowflake

Data is essential to marketing. It’s how we know our audience and measure campaign outcomes. It shows us where to adjust a campaign on the fly, for even better results. But working with data is increasingly complex, and having the right stack of technologies is invaluable. To help marketers understand the rapidly changing world of data technology, we’ve just released our second annual Modern Marketing Data Stack report.

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Improve Lakehouse Security Monitoring using System Tables in Databricks Unity Catalog

databricks

As the lakehouse becomes increasingly mission-critical to data-forward organizations, so too grows the risk that unexpected events, outages, and security incidents may derail.

Systems 92
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Why Your Data Pipelines Need Closed-Loop Feedback Control

Towards Data Science

Realities of company and cloud complexities require new levels of control and autonomy to meet business goals at scale Image by Cosmin Paduraru As data teams scale up on the cloud, data platform teams need to ensure the workloads they are responsible for are meeting business objectives. At scale with dozens of data engineers building hundreds of production jobs, controlling their performance at scale is untenable for a myriad of reasons from technical to human.

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Closed Source VS Open Source Image Annotation

KDnuggets

This blog strikes a comparison between open-source and closed-source image annotation tools and how it makes the life of AI model developers easy and convenient.

IT 119
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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.