Simon Späti

AUGUST 25, 2022

Image by Rachel Claire on Pexels Ever wanted or been asked to build an open-source Data Lake offloading data for analytics? Asked yourself what components and features would that include. Didn’t know the difference between a Data Lakehouse and a Data Warehouse? Or you just wanted to govern your hundreds to thousands of files and have more database-like features but don’t know how?

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Data Lake Data Warehouse Government Data 130

KDnuggets

AUGUST 24, 2022

This blog post introduces seven techniques that are commonly applied in domains like intrusion detection or real-time bidding, because the datasets are often extremely imbalanced.

Datasets 159

Datasets Data Machine Learning 159

Data Engineering Podcast

AUGUST 21, 2022

Summary Data has permeated every aspect of our lives and the products that we interact with. As a result, end users and customers have come to expect interactions and updates with services and analytics to be fast and up to date. In this episode Shruti Bhat gives her view on the state of the ecosystem for real-time data and the work that she and her team at Rockset is doing to make it easier for engineers to build those experiences.

Lambda Architecture 100

Lambda Architecture MongoDB Scala MySQL 100

Netflix Tech

AUGUST 24, 2022

by Ehtsham Elahi with James McInerney , Nathan Kallus , Dario Garcia Garcia and Justin Basilico Introduction This writeup is about using reinforcement learning to construct an optimal list of recommendations when the user has a finite time budget to make a decision from the list of recommendations. Working within the time budget introduces an extra resource constraint for the recommender system.

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Algorithm Systems Datasets Architecture 71

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.

Data

Confluent

AUGUST 25, 2022

G2 named Confluent the the event stream processing industry leader for top-rated performance, reliability, ease of use, integration APIs, data modeling features, and more.

Process 62

Process Data 62

KDnuggets

AUGUST 25, 2022

MLFlow is a tool to manage the end-to-end lifecycle of a Machine Learning model. Likewise, the installation and configuration of an MLFlow service is addressed and examples are added on how to generate and share projects with MLFlow in Layer.

Machine Learning 131

Machine Learning Project Management 131

Monte Carlo

AUGUST 25, 2022

“How do we scale data observability with Monte Carlo?” I’ve heard this from hundreds of new customers. They’re excited about all that data observability can do for them, but like with any new software, they want prescriptive guidance. “In the ‘Crawl → Walk → Run’ of software adoption, what’s the quickest way for my team to start crawling?” If you’re a data team of 5-15 engineers or analysts, I recommend building healthy data observability muscles using our end-to-end, out-of-the-box monitors , a

Datasets 52

Datasets BI Data SQL 52

Confluent

AUGUST 23, 2022

The VP of Engineering at Confluent India shares how the team builds innovative, modern data solutions while instilling a humble, open work culture where employees thrive.

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Data Solutions Engineering Building Data 62

KDnuggets

AUGUST 22, 2022

Hyperparameter tuning is important for algorithms. It improves their overall performance of a machine learning model and is set before the learning process and happens outside of the model.

Machine Learning 118

Machine Learning Algorithm Process IT 118

U-Next

AUGUST 26, 2022

Introduction. R Programming Language: What Is It? R is available as an open language of programming for statistical computing and data analytics, and R often has a command-line API. R is accessible on popular operating systems, including Pc, Linux, and macintosh. The newest cutting-edge technology is the R programming language. The R Research Core Group is presently carrying out its research.

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R (Programming) Programming Language Algorithm Programming 52

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.

Engineering

Palantir

AUGUST 25, 2022

The Palantir Incident Response team addresses the highest-priority issues across our platforms — Foundry, Gotham, and Apollo — ensuring they continue to support mission-critical work around the world. Essentially, the team’s core mandate is to respond when things go wrong. More broadly, Incident Response focuses on business continuity while adapting to an ever-expanding feature set as development teams across Palantir continuously add new capabilities and enhancements.

Engineering 52

Engineering Management Python Coding 52

Confluent

AUGUST 26, 2022

Full introduction to Confluent Cloud networking: security, setup and configuration, cost considerations, and which networking option to choose for your architecture.

Cloud 57

Cloud Architecture 57

KDnuggets

AUGUST 23, 2022

How to Perform Motion Detection Using Python • The Complete Collection of Data Science Projects – Part 2 • Free AI for Beginners Course • Decision Tree Algorithm, Explained • What Does ETL Have to Do with Machine Learning?

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Python Algorithm Machine Learning Data Science 116

Wolt

AUGUST 24, 2022

Here at Wolt we truly love open-source software. We’re a fast-growing company, building the rocket ship while riding it to allow our business to scale. This wouldn’t be possible without standing on the shoulders of giant open-source projects. Almost our whole tech stack is based on open-source software, most notably on the data engineering side.

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Data Engineering Data Engineer Engineering Project 52

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.

Building

Monte Carlo

AUGUST 24, 2022

What do Daniel Kahneman, the Nobel Prize-winning psychologist, economist, and author of Thinking, Fast and Slow , and Nate Silver, founder and editor-in-chief of opinion poll analysis website FiveThirtyEight , have in common? Not only are they two of the most interesting voices in data, but they’re speaking at IMPACT: The Data Observability Summit , from October 25-26, 2022.

Data Architect 52

Data Architect Data Warehouse Architecture Data 52

dbt Developer Hub

AUGUST 23, 2022

Those who have been building data warehouses for a long time have undoubtedly encountered the challenge of building surrogate keys on their data models. Having a column that uniquely represents each entity helps ensure your data model is complete, does not contain duplicates, and able to join across different data models in your warehouse. Sometimes, we are lucky enough to have data sources with these keys built right in — Shopify data synced via their API, for example, has easy-to-use keys on a

Datasets 52

Datasets Metadata SQL Data Warehouse 52

KDnuggets

AUGUST 26, 2022

Thus far, this series has focused on things that Machine Learning does or needs which biological neurons simply can’t do. This article turns the tables and discusses a few things that neurons are particularly good at.

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Machine Learning 110

Teradata

AUGUST 26, 2022

Is insurance immune from the surge in data-driven applications in other industries? Of course not, but why has there been such a slow uptake in data resources?

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Insurance IT Data 52

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Project

U-Next

AUGUST 25, 2022

Introduction. Machine Learning libraries , like Pandas, Numpy, Matplotlib, OpenCV, Flask, Seaborn, etc., interact with a body of norms or optimize functional areas. They are characterized as an authored syntax to carry out repetitive tasks such as mathematics calculations, visualizing data sources, having to read images, etc. Because they may utilize the functionalities of the Machine Learning libraries knowing how the methods are implemented, this helps programmers save a huge amount of time, m

Machine Learning 40

Machine Learning Deep Learning Python Data Mining 40

Propel Data

AUGUST 22, 2022

Product and data teams struggle to work together because there's a tradeoff in data between flexibility, performance and cost-effectiveness.

Data Analytics 40

Data Analytics Data 40

KDnuggets

AUGUST 22, 2022

Machine Learning Algorithms Explained in Less Than 1 Minute Each • Free Python Automation Course • Free Python Crash Course • The 5 Hardest Things to Do in SQL • 16 Essential DVC Commands for Data Science • 12 Essential VSCode Extensions for Data Science • Parallel Processing Large • File in Python • Linear Algebra for Data Science.

Machine Learning 110

Machine Learning Algorithm Data Science Python 110

Cloudera

AUGUST 24, 2022

Cloudera Machine Learning (CML) is a cloud-native and hybrid-friendly machine learning platform. It unifies self-service data science and data engineering in a single, portable service as part of an enterprise data cloud for multi-function analytics on data anywhere. CML empowers organizations to build and deploy machine learning and AI capabilities for business at scale, efficiently and securely, anywhere they want.

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Machine Learning Building Metadata Programming Language 82

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

Building

U-Next

AUGUST 25, 2022

Introduction. Your school assignments should focus on pursuing your passions and gaining practical knowledge. Most students will find their vocation by their senior year, or at the very minimum, they have a clear idea of what they want. Two examples are obtaining a postgraduate degree or a high-paying career that allows you to live independently. And your capstone project for the year ought to be a move.

Project 40

Project Engineering Medical Healthcare 40

Propel Data

AUGUST 24, 2022

With Snowflake, it’s possible to build an enterprise data warehouse (EDW), an operational data store (ODS), or a team-specific data mart.

Data Warehouse 40

Data Warehouse Data Analytics Data Building 40

KDnuggets

AUGUST 22, 2022

Learn Python by doing Python. Check out this free project-based course to quickly learn how to program in the high-demand language.

Python 128

Python Project Coding Programming 128

Rockset

AUGUST 26, 2022

The American dairy industry is a mighty one. America’s 32,000 dairy farmers not only produce the most milk in the world , they are also the most efficient, producing 23 thousand pounds of milk per cow per year — almost 20 times the weight of an average (1,200 pound) dairy cow. For their genetically strong herds, healthy cows, high yields, even increasingly green operations , farmers can credit both agricultural science as well as data science.

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IT Food Data Lake Aggregated Data 52

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.

Certification

U-Next

AUGUST 23, 2022

Introduction. Recently, blockchain technologies are gaining attention, and it’s easy to understand why. Blockchain, which first powered Bitcoin, does have the potential to transform a variety of industries, including voting and accountancy. Still, it has not been apparent how to utilize this revolutionary technology effectively. We’ll examine what is blockchain technology and how it works in this blog.

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Food Transportation Medical Utilities 40

dbt Developer Hub

AUGUST 24, 2022

Editors note - this post assumes working knowledge of dbt Package development. For an introduction to dbt Packages check out So You Want to Build a dbt Package. It’s important to be able to test any dbt Project, but it’s even more important to make sure you have robust testing if you are developing a dbt Package. I love dbt Packages, because it makes it easy to extend dbt’s functionality and create reusable analytics resources.

Utilities 52

Utilities Project Coding Building 52

KDnuggets

AUGUST 23, 2022

This post focuses on building an intuition of the Support Vector Machine algorithm in a classification context and an in-depth understanding of how that graphical intuition can be mathematically represented in the form of a loss function. We will also discuss kernel tricks and a more useful variant of SVM with a soft margin.

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Algorithm Building Machine Learning 108

AltexSoft

AUGUST 22, 2022

The landscape of enterprise data is fragmented. According to Flexera’s 2022 State of the Cloud Report , 89 percent of respondents have a multi-cloud strategy with 80 percent having a hybrid cloud approach in place. Organizations have data stored in public and private clouds, as well as in various on-premises data repositories. How organizations embrace multi-cloud.

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Architecture Metadata Data Lake Machine Learning 52

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Building