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 160

Datasets Data Machine Learning 160

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

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 83

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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?

Business Intelligence

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 73

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.

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Machine Learning Algorithm Process IT 126

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.

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Process Data 64

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.

IT 52

IT Food Aggregated Data Data Lake 52

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

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Datasets BI Data SQL 52

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.

Data

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 64

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

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?

Python 123

Python Algorithm Machine Learning Data Science 123

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.

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Engineering Management Python Coding 52

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.

Manufacturing

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 59

Cloud Architecture 59

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 Building Coding 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 112

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: 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.

Systems

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 23, 2022

This tutorial will explore four scenarios in which you can apply different transformations to all DataFrame columns.

Python 144

Python Data Data Science 144

U-Next

AUGUST 23, 2022

Introduction. If the results of the assessment of the information are displayed in the form of information representation, all the outstanding purpose-oriented corporate judgments become simple to pursue. Additionally, having all statistics, infographics, graphs, etc., on one dashboard makes it easier to foresee insights. Tableau serves as a visual framework for business intelligence and analytics, assisting users in watching, observing, comprehending, and making choices with various data types.

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BI Amazon Web Services Database Business Intelligence 52

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.

Project

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

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

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.

Algorithm 108

Algorithm Building Machine Learning 108

U-Next

AUGUST 26, 2022

Introduction. The communications system is growing quickly in the modern world. To increase organizational productivity, organizations are turning digital. Datasets are growing increasingly complicated due to an increase in the volume of data produced on the web. Searching in Data Structure enables the efficient retrieval of individual elements from a collection, such as a specific record from a database.

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Algorithm Data Utilities Data Science 40

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.

Business Intelligence

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

Monte Carlo

AUGUST 22, 2022

Across both public and private sectors, more organizations are adopting a “data-driven” mindset—or, at least, data-driven messaging. But in reality, most aren’t prepared for the reality of what it takes to truly make decisions based on data. Teams have to be aligned about what data is used and how decisions are made. Data has to be accessible and available to the right decision-makers at the right time.

Building 52

Building Data Consulting Software Engineer 52

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.

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Python Project Coding Programming 137

U-Next

AUGUST 25, 2022

Introduction. Artificial Intelligence is indeed the science of Machine Learning. Making people aware of current Machine Learning models and developments and enabling them to comprehend original data is the main goal of Machine Learning cheat sheets. They will employ the information in Machine Learning models that individuals and organizations may use after they have a deeper knowledge of the raw and different data formats.

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Machine Learning Algorithm Data Mining Utilities 40

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.

Government