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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Breaking Down Quantum Computing: Implications for Data Science and AI

KDnuggets

This article has explored the impact of quantum computing on data science and AI. We will look at the fundamental concepts of quantum computing and the key terms that are used in the field. We will also cover the challenges that lie ahead for quantum computing and how they can be overcome.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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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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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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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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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.

SQL 114
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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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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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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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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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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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Cartographic conventions

ArcGIS

What are cartographic conventions and do you need to follow them?

Designing 127
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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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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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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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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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Setting up and Getting Started with Cloudera’s New SQL AI Assistant

Cloudera

As described in our recent blog post , an SQL AI Assistant has been integrated into Hue with the capability to leverage the power of large language models (LLMs) for a number of SQL tasks. It can help you to create, edit, optimize, fix, and succinctly summarize queries using natural language. This is a real game-changer for data analysts on all levels and will make SQL development faster, easier, and less error-prone.

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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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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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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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Comparing Performance of Big Data File Formats: A Practical Guide

Towards Data Science

Parquet vs ORC vs Avro vs Delta Lake Photo by Viktor Talashuk on Unsplash The big data world is full of various storage systems, heavily influenced by different file formats. These are key in nearly all data pipelines, allowing for efficient data storage and easier querying and information extraction. They are designed to handle the challenges of big data like size, speed, and structure.

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Extending the Confluent CLI With Custom Plugins

Confluent

The Confluent CLI now supports custom plugins to simplify CLI commands, execute dynamic workflows, and boost efficiency. Read a step-by-step guide on how to get started.

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Top 11 Programming Languages for Data Science

Knowledge Hut

Data science is a multidisciplinary field that requires a broad set of skills from mathematics and statistics to programming, machine learning, and data visualization. The world has been swept by the rise of data science and machine learning. Data scientists are in high demand, and the demand will only continue to rise. However, data scientists need to know certain programming languages and must have a specific set of skills.

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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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.

Cloud 101
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HeptaPay WooCommerce WordPress Plugin

Hepta Analytics

Today we’re excited to launch the HeptaPay WooCommerce Plugin for WordPress. With this plugin, online businesses across East Africa can now receive instant international payments to their mobile wallets in Rwanda, Kenya and Uganda. Businesses can choose to be settled to their MTN MoMo Pay, M-PESA Till Number, MTN MoMo, M-PESA, or Airtel Money mobile wallets.

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Confluent Integrates with Pinecone Serverless to Make Real-Time, Cost-Effective GenAI a Reality

Confluent

Confluent integrates with Pinecone Serverless to enable cost-effective development of highly performant GenAI applications fueled by fully managed data streams.

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The Battle Between CISA and CISSP - Which Is Best?

Knowledge Hut

When people decide to start their journey in the cloud industry, their first confusion is which certification course they should take. The two primary certifications in this field are CISA (Certified Information Systems Auditor) and CISSP (Certified Information Systems Security Professional). Though both offer a great start to the cloud professional's journey, they belong to different spectrums.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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Read This Before Making a Career Switch to Data Science

KDnuggets

From Skill Assessment to Networking: Your Roadmap to Thriving in the World of Data Science.

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A Prequel to Data Mesh

Towards Data Science

My personal take on justifying the existence of Data Mesh A senior stakeholder at one my projects mentioned that they wanted to decentralise their data platform architecture and democratise data across the organisation. When I heard the words ‘decentralised data architecture’, I was left utterly confused at first! In my then limited experience as a Data Engineer, I had only come across centralised data architectures and they seemed to be working very well.

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Programming Languages for Apache Kafka: Essential Resources for Developers

Confluent

Curious how to start building real-time streaming apps with programming languages for Apache Kafka? Explore the latest tutorials, courses, and articles on Kafka languages to jumpstart your journey.

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Top 18 Famous Ethical Hackers: The World Has Ever Known

Knowledge Hut

While hacking is illegal, ethical hacking is a legal method of breaching a security system to detect potential security threats. Ethical hackers look at strategies to see if there are any flaws that cybercriminals could take advantage of. Ethical hackers are incredibly valuable nowadays, as businesses face extraordinary levels of risk and dangerous cyber threats.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.