Sat.Jan 13, 2024 - Fri.Jan 19, 2024

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Data Engineers: We Need To Talk About Alert Fatigue

Monte Carlo

5 factors that lead to alert fatigue and how to prevent them with incident management best practices Last Friday afternoon, Pedram Navid, head of data at Dagster and overall data influencer , went to X to ask an important question. He asked: Ok — is anomaly detection in data actually that useful or is just a bunch of alerts you end up muting and not doing anything with?

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Table file formats - streaming reader: Delta Lake

Waitingforcode

Even though I'm into streaming these days, I haven't really covered streaming in Delta Lake yet. I only slightly blogged about Change Data Feed but completely missed the fundamentals. Hopefully, this and next blog posts will change this!

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Data News — Week 24.02

Christophe Blefari

Back to school ( credits ) Hello you. Back to the usual Data News—with a little delay, I'm sorry. First of all, I'd like to thank you for your positive comments on last week 's article. It's a subject close to my heart and I was very happy to share it with you, because I never thought that Data News would become such a big part of my life.

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A look under GHC's hood: desugaring linear types

Tweag

I recently merged linear let- and where-bindings in GHC. Which means that we’ll have these in GHC 9.10, which is cause for celebration for me. Though they are much overdue, so maybe I should instead apologise to you. Anyway, I thought I’d take the opportunity to discuss some of GHC’s inner workings and how they explain some of the features of linear types in Haskell.

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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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Engineering Lessons Learned from LLM Fine Tuning

Confessions of a Data Guy

Well, I finally got around to it. What you say? Fine-tuning an LLM, that’s what. I mean all the cool kids are talking about and caring on like it’s the next thing. What can I say … I’m jaded. I’ve been working on ML systems for a good few years now, and I’ve seen the […] The post Engineering Lessons Learned from LLM Fine Tuning appeared first on Confessions of a Data Guy.

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Validation vs. Verification: What’s the Difference?

Precisely

Data validation Data verification Purpose Check whether data falls within the acceptable range of values Check data to ensure it’s accurate and consistent Usually performed When data is created or updated When data is migrated or merged Example Checking whether user-entered ZIP code can be found Checking that all ZIP codes in dataset are in ZIP+4 format To a layperson, data verification and data validation may sound like the same thing.

More Trending

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Monitoring Cloudera DataFlow Deployments With Prometheus and Grafana

Cloudera

Cloudera DataFlow for the Public Cloud (CDF-PC) is a complete self-service streaming data capture and movement platform based on Apache NiFi. It allows developers to interactively design data flows in a drag and drop designer, which can be deployed as continuously running, auto-scaling flow deployments or event-driven serverless functions. CDF-PC comes with a monitoring dashboard out of the box for data flow health and performance monitoring.

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In the spotlight with Adil Kamalsha, ThoughtSpot’s Selfless Excellence champion

ThoughtSpot

This is part of our ongoing spotlight series which highlights ThougthSpot’s quarterly Selfless Excellence champion. At ThoughtSpot, Selfless Excellence is the heart of who we are as a company. It creates room for personal success – but never at the cost of others on the team. Simply put, this means we consider our teammates, customers, and society at large ahead of our own personal wins, and without the distraction of office politics.

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Simplify Data Integration With Informatica’s Snowflake Native App

Snowflake

Leading companies around the world rely on Informatica data management solutions to manage and integrate data across various platforms from virtually any data source and on any cloud. Now, Informatica customers in the Snowflake ecosystem have an even easier way to integrate data to and from the Snowflake Data Cloud. Informatica’s Enterprise Data Integrator, a Snowflake Native App currently in public preview, facilitates the high-speed replication of enterprise data into Snowflake and brings the

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5 Free University Courses to Learn Data Science

KDnuggets

Looking to make a career in data science? Here are five free university courses to help you get started.

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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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The Best 10 Programming Languages Every Ethical Hacker Needs to Learn

Knowledge Hut

"Data is the pollution problem of the information age, and protecting privacy is the environmental challenge" — Bruce Schneier. Ethical hacking is the heads-on solution for this challenge — a way to counter attacks from unwanted sources. It judges the security wall of a system and discovers and eliminates inconsistencies. Ethical hacking aims to prevent digital threats and vulnerabilities in the system and is a crucial online asset for security.

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Are you a data power user? 3 reasons to join a ThoughtSpot User Group

ThoughtSpot

Are you a ThoughtSpot enthusiast? Maybe you built a liveboard that saved your department hours each work week, or perhaps you figured out a unique way to gamify adoption across your team. You put in the hard work, now it’s time to show it off. ThoughtSpot User Groups were designed to help users connect—a place where you can share stories and get new ideas to empower your organization with data.

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Top 4 Data + AI Predictions for Telecommunications in 2024

Snowflake

The sheer breadth of data that telecommunications providers collect day-to-day is a huge advantage for the industry. Yet, many providers have been slower to adapt to a data-driven, hyperconnected world even as their services — including streaming, mobile payments and applications such as video conferencing — have driven innovation in nearly every other industry.

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SQL Group By and Partition By Scenarios: When and How to Combine Data in Data Science

KDnuggets

Learn the generic scenarios and techniques of grouping and aggregating data, partitioning and ranking data in SQL, which will be very helpful in reporting requirements.

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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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The Future Scope of Ethical Hacking in 2024 and beyond?

Knowledge Hut

One of the most commonly used terms in the IT sector is ethical hacking. The rising frequency of cyber-attacks has forced businesses and government agencies to tighten their defences against malicious hackers. In the current digital era, ethical hacking has become extremely important. Ethical hacking is an ideal career choice for folks who wish to break into the IT industry by being a Certified Ethical Hacker (CEH).

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DORA Metrics At Work

Booking.com Engineering

DEVOPS How we doubled our team’s delivery performance within a year as measured by DORA metrics. source Imagine your team secured a budget for doubling the number of software engineers. That’s great! You can finally fix all the bugs, implement new ideas, and clean up all the technical debt that’s been accumulating for years. Right? Wait, wait… Not so fast.

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Handling Online-Offline Discrepancy in Pinterest Ads Ranking System

Pinterest Engineering

Author: Cathy Qian, Aayush Mudgal, Yinrui Li and Jinfeng Zhuang Image from [link] Introduction At Pinterest, our mission is to bring everyone the inspiration to create a life they love. People often come to Pinterest when they are considering what to do or buy next. Understanding this evolving user journey while balancing across multiple objectives is crucial to bring the best experience to Pinterest users and is supported by multiple recommendation models, with each providing real-time inferenc

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Discover the World of Computer Vision: Introducing MLM’s Latest OpenCV Ebook

KDnuggets

Today, we're proud to announce a significant addition to our catalog at Machine Learning Mastery. Known for our detailed, code-centric guides, we're taking a leap further into the realms of Computer Vision with our latest offering.

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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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Top 10 Data Science Companies in 2024

Knowledge Hut

Data Science is an amalgamation of several disciplines, including computer science, statistics, and machine learning. As the world on the internet is becoming our second home, Big Data has exploded. Data Science is the study of this big data to derive a meaningful pattern. All the businesses are now looking to explore this gold mine of information to solve already existing problems.

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Databricks SQL Year in Review (Part I): AI-optimized Performance and Serverless Compute

databricks

This is part 1 of a blog series where we look back at the major areas of progress for Databricks SQL in 2023.

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5 Reasons Manufacturers Should Move ERP Data to Snowflake to Supercharge Analytics

Snowflake

Advanced analytics help manufacturers extract insights from their data and improve operations and decision-making. But for manufacturers, it’s often challenging to perform analytics with ERP data. Because of the high rate of M&A activity in the industry, manufacturing enterprises often struggle with multiple ERP instances. A fragmented resource planning system causes data silos, making enterprise-wide visibility virtually impossible.

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6 Reasons Why a Universal Semantic Layer is Beneficial to Your Data Stack

KDnuggets

Looking to understand the universal semantic layer and how it can improve your data stack? This GigaOm Sonor report on Semantic Layers can help you delve deeper.

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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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What is Product Backlog Refinement in Scrum?

Knowledge Hut

In my journey as a Scrum Master, I've experienced the profound impact of Backlog Refinement on the success of Agile projects. This process goes beyond mere task management; it embodies a strategic approach aimed at enhancing the efficiency and manageability of Agile initiatives. Through this meticulous process of continuously grooming and prioritizing backlog items, I have seen teams transform their workflow, achieving higher productivity and better alignment with project goals.

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Improving Recruiting Efficiency with a Hybrid Bulk Data Processing Framework

LinkedIn Engineering

Co- Authors: Aditya Hedge and Saumi Bandyopadhyay 2022 was a year driven by change for the Talent Acquisition industry, with nearly 50k company mergers and acquisitions completed worldwide. As of November 2023, roughly 150K+ recruiters switched jobs in the previous 12 months as shown in Figure 1. These changes – whether at an organization level or a user level – result in ownership transfers of hiring entities.

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Staying in the Zone: How DoorDash used a service mesh to manage  data transfer, reducing hops and cloud spend

DoorDash Engineering

There have been many benefits gained through DoorDash’s evolution from a monolithic application architecture to one that is based on cells and microservices. The new architecture has reduced the time required for development, test, and deployment and at the same time has improved scalability and resiliency for end-users including merchants, Dashers, and consumers.

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The Top 8 Cloud Container Management Solutions of 2024

KDnuggets

As enterprises rapidly adopt cloud-native technologies, managing containerized applications has become crucial, so this article provides practical insights on the leading container management solutions to help organizations choose the right one for their needs.

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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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Top Data Science Jobs for Freshers You Should Know

Knowledge Hut

Data Science has risen to become one of the world's topmost emerging multidisciplinary approaches in technology. Recruiters are hunting for people with data science knowledge and skills these days. Entering the field of data science can be extremely rewarding and beneficial to your career due to its tremendous future advancement opportunities. Data Scientists collect, analyze, and interpret large amounts of data.

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The Evolution of Enforcing our Professional Community Policies at Scale

LinkedIn Engineering

LinkedIn is always working hard to make sure that its platform is a safe and trusted place for its members. We've been on a journey to strengthen our platform against abuse by continuously improving our account restriction systems. This helps us ensure that our policies are followed and that our community can keep growing. In a previous blog post, we talked about how we built our anti-abuse platform using CASAL.

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Lazy is the new fast: How Lazy Imports and Cinder accelerate machine learning at Meta

Engineering at Meta

At Meta, the quest for faster model training has yielded an exciting milestone: the adoption of Lazy Imports and the Python Cinder runtime. The outcome? Up to 40 percent time to first batch (TTFB) improvements, along with a 20 percent reduction in Jupyter kernel startup times. This advancement facilitates swifter experimentation capabilities and elevates the ML developer experience (DevX).

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How Semantic Vector Search Transforms Customer Support Interactions

KDnuggets

Semantic vector search is an advanced search technique revolutionizes how we interact with information by understanding the true meaning of words, thus leading to more relevant and insightful results.

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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.