Trending Articles

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10 deadly myths of Agile and Scrum

Knowledge Hut

Agile and Scrum have been conquering the minds of engineers, managers especially from software industry, quite effectively since last few years. The impact is so much so that every software engineer thinks that if he/she is not working on an Agile or Scrum project, their career is stuck. It surely is, but so is the reality of this fact. Agile and Scrum have become so pervasive in our thought process that we, as engineers or managers or product owners do not stop to ask ourselves once if we reall

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How to build a data team

Christophe Blefari

My personal collection of the best resources to bootstrap a data team and get inspired from what others are doing.

Building 130
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Is the “AI developer”a threat to jobs – or a marketing stunt?

The Pragmatic Engineer

This article was published on 14 March 2024 in The Pragmatic Engineer, for subscribers. I'm sharing this piece in public more than a month later, as it provides important context and analysis for the AI dev tools space. Subscribe to The Pragmatic Engineer to stay up-to-date on what is happening with software engineering, Big Tech, and startups.

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Introducing Confluent Cloud Freight Clusters

Confluent

Confluent Cloud Freight clusters are now available in Early Access. In this blog, learn how Freight clusters can save you up to 90% at GBps+ scale.

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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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A Notebook is all I want or Don't

Data Engineering Weekly

The tweet received strong reactions on LinkedIn and Twitter. To clarify, I quoted it as a Notebook-style development, but it is not exactly a Notebook. There is a lot of context missing in that tweet, so I decided to write a blog about it. People have reservations about using tools like Jupytor Notebook for the production pipeline for a good reason.

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Reading and Processing JSON with Rust vs Python.

Confessions of a Data Guy

Have you ever wondered about being explicit in your code vs being vague? I think about this a lot as I’m writing code on a daily basis. I’ve found I like being explicit and verbose when writing code, rather than being vague in what I’m doing most of the time. When it comes to debugging […] The post Reading and Processing JSON with Rust vs Python. appeared first on Confessions of a Data Guy.

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Moving Beyond MTEB and BEIR: Snowflake AI Research Joins Forces with the University of Waterloo to Evolve RAG and Retrieval Benchmarks

Snowflake

To accurately answer business questions using LLMs, companies must augment models with their data. Retrieval Augmented Generation (RAG) is a popular solution to this problem, as it integrates the organization’s factual, real-time data into the prompt for the LLM. While the adoption of RAG has increased, an open question remains: How do enterprises know how effective their system is?

Cloud 101
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Calibrating the Mosaic Evaluation Gauntlet

databricks

A good benchmark is one that clearly shows which models are better and which are worse. The Databricks Mosaic Research team is dedicated.

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Reaction to Data Engineering Survey for 2024

Confessions of a Data Guy

The post Reaction to Data Engineering Survey for 2024 appeared first on Confessions of a Data Guy.

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Useful Project Management Tips for Agile Development Teams

Knowledge Hut

If you are a software professional or someone who is adept in the knowledge of the technology and the latest software development, then you have probably come across the term ‘Agile’ several times. Before proceeding, it is important to know that management of the task and a lengthy project is imperative for every development team for the precision of task and quality output.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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Avoid These 5 Common Mistakes Every Novice in AI Makes

KDnuggets

Top five mistakes made by AI beginners and practical tips to avoid them, along with an engaging "50-Day Challenge" that you cannot afford to miss.

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Meet the 2024 Snowflake Startup Challenge Finalists

Snowflake

The 2024 Snowflake Startup Challenge began with over 900 applications from startups Powered by Snowflake in more than 100 countries. Our judges narrowed that long list of contenders down to 10, and after much deliberation, they’ve now pared it down to the final three. We are pleased to announce that BigGeo, Scientific Financial Systems and SignalFlare.ai by Extropy360 will advance to the Snowflake Startup Challenge finale and compete for the opportunity to receive a share of up to $1 million in

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Databricks named a Leader in the 2024 Forrester Wave for Data Lakehouses

databricks

We are proud to announce that Forrester has recognized Databricks as a Leader with the highest scores in both current offering and strategy.

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Google Fires Python. What Next?

Confessions of a Data Guy

What is going on? Is the world coming to an end? I thought Python was going to live forever. Well, apparently not at Google. Recently Google announced it was laying off its entire North American-based Python team that was supporting Google’s special needs with Python, in favor of cheaper offshore workers. Apparently, some of these […] The post Google Fires Python.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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What Is Kanban In Agile Values, Principles, Benefits & Career

Knowledge Hut

Kanban is getting a wide-scale popularity in Agile organizations because of its unmatched values, principles, and benefits. The certified Kanban training courses, designed for different levels, allow the program managers, delivery managers, project managers, software product developers and business analysts etc to choose the best and to boost up their career growth.

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A Comprehensive Guide to Essential Tools for Data Analysts

KDnuggets

Data analyst tools encompass programming languages, spreadsheets, BI, and big data tools. Here are 9ish tools that cover all the tasks of data analysts well.

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Robinhood Response to Receipt of Wells Notice from the U.S. Securities and Exchange Commission

Robinhood

Robinhood Markets,Inc.(Nasdaq:HOOD) today announced that RHC has received a Wells Notice from the SEC Staff Earlier today we announced Robinhood Crypto (RHC) has received a Wells Notice from the U.S. Securities and Exchange Commission staff indicating they will recommend that the Commission file an enforcement action. “After years of good faith attempts to work with the SEC for regulatory clarity including our well-known attempt to ‘come in and register,’ we are disappointed that the agency has

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The Vital Role of Data Governance in Communications, Media and Entertainment

databricks

Discover the vital role of data governance in the communications, media, and entertainment industry. Learn how robust data governance enables personalized experiences, ensures AI transparency, and mitigates compliance risks. Explore how leading companies like Barilla and Anker are accelerating innovation through effective data governance strategies powered by Databricks' Unity Catalog.

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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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Data Engineering Weekly #170

Data Engineering Weekly

Ken Liu: Machine Unlearning in 2024 One of the insightful articles is about the growing adoption of one large language model and the challenge it brings to machine unlearning. The motivation for Machine Unlearning is critical from the privacy perspective and for model correction, fixing outdated knowledge, and access revocation of the training dataset.

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Water-Scrum-Fall: Is it a Myth or Reality?

Knowledge Hut

Usage of Agile Methods for software Development has caught on like wildfire. Every organization wants to follow Agile methods for software development projects to gain all or some of the following advantages. Faster Software Delivery Continuous Customer Feedback and Optimization Improved Software Quality Improved Communication with Users and Business Sponsors Accommodation for Continuous Changes Early Return on Investment Continuous Visibility on Features Being Developed Optimized Risks Though u

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Data Science Degrees vs. Courses: The Value Verdict

KDnuggets

Exploring the merits of data science degrees vs courses, this analysis contrasts their depth, prestige, and practicality in job market preparation

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Top 8 Snowflake Marketplace Questions, Answered

Snowflake

Snowflake Marketplace is designed to give customers and organizations a place to easily find, try and buy data, apps and AI products that help solve their most pressing business problems. We have more than 540 providers, offering over 2,400 live, ready-to-use data products (as of Jan 31, 2024), so there are many options to help you enrich your own data resources, build new data apps and leverage the power of AI on Snowflake.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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Intelligently Balance Cost Optimization & Reliability on Databricks

databricks

The Databricks Data Intelligence Platform offers unparalleled flexibility, allowing users to access nearly instant, horizontally scalable compute resources. This ease of creation can.

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Key Moments From Kafka Summit Bangalore: AI Model Inference, Freight Clusters, and More

Confluent

A lookback at all the exciting happenings at our first-ever Kafka Summit Bangalore—and some key announcements, including Confluent Platform for Apache Flink.

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How to Launch Your 1st SAFe® Agile Release Train

Knowledge Hut

So, you are excited to organize and launch your 1st SAFe® Agile Release Train. Understanding the importance, structure, and deployment of ART (SAFe® Agile Release Train) is the central of SAFe® Agile implementation to scale & successfully implement the complex projects, deliver maximum business values and complete the project on time well under the budget.

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5 MLOps Courses from Google to Level Up Your ML Workflow

KDnuggets

Want to build and deploy robust machine learning systems to production? Start learning MLOps today with these courses from Google.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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How to Accelerate Digital Adoption and Reduce Costs with Better Customer Communications

Precisely

Key Takeaways: Enhance your customer digital adoption strategy through automation, personalization, and omnichannel consistency that exceeds expectations and fosters trust and loyalty. Drive efficiency and reduce costs with a unified hosted CCM platform that streamlines operations and eliminates costly redundancies. Use data-driven insights and consistent, timely communication across channels to offer targeted promotions that increase customer engagement and revenue How can your financial instit

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Databricks Assistant Tips & Tricks for Data Engineers

databricks

The generative AI revolution is transforming the way that teams work, and Databricks Assistant leverages the best of these advancements. It allows you.

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How to Supercharge Your Python Classes with Class Methods

Towards Data Science

Four advanced tricks to give your data science and machine learning classes the edge you never knew they needed Continue reading on Towards Data Science »

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What is Estimation Projection & Validation in Agile?

Knowledge Hut

Ensuring successful software development within constraints of ‘scope, schedule, and cost’ has been a conundrum that every software development methodology tries to solve. In any scenario, we can fix only one of these 3 parameters. For example, if we fix the software estimation, we have to keep the schedule variable according to the new changes in scope.

Project 91
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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.