KDnuggets
MARCH 9, 2022
Four-day conference offers hundreds of learning and development opportunities in AI, ML, DL, robotics, data science and high performance computing for developers at all levels.
Confluent
MARCH 9, 2022
Imagine your team wants to design a data streaming architecture and you’re in charge of creating the prototype. Within a few minutes, you provision a fully managed Apache Kafka® cluster […].
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Cloudera
MARCH 10, 2022
As an official sponsor of International Women’s Da y, Cloudera is excited to celebrate Women’s History Month and International Women’s Day, and to take up the mantle of this year’s theme #BreakTheBias. . Even in industries where women are underrepresented, like tech, women have made a lot of progress. Progress over many decades has slowly transformed the workplace into an environment where women’s strengths are recognized and valued.
Teradata
MARCH 11, 2022
This getting started guide describes ‘high-level’ Teradata Vantage connectivity options with the Microsoft Azure Services. Find out more.
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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.
KDnuggets
MARCH 8, 2022
Also: Calculus: The hidden building block of machine learning; Decision Tree Algorithm, Explained; Telling a Great Data Story: A Visualization Decision Tree; The Complete Collection of Data Science Cheat Sheets – Part 1.
Confluent
MARCH 10, 2022
Decentralized architectures continue to flourish as engineering teams look to unlock the potential of their people and systems. From Git, to microservices, to cryptocurrencies, these designs look to decentralization as […].
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Teradata
MARCH 8, 2022
In honor of Women's History Month & Int'l Women's Day, we are spotlighting Hillary Ashton, Teradata's Chief Product Officer, as she looks back on her career and gives advice to young women in tech.
KDnuggets
MARCH 8, 2022
Some exceptional female researchers and engineers are working on projects to make the world a better place with the help of AI, data science, and machine learning.
Confluent
MARCH 8, 2022
If you’re reading this, it’s likely because you are leveraging (or considering) Apache Kafka® in your organization—especially as it has become the de facto standard for data streaming. Adopted by […].
Cloudera
MARCH 7, 2022
March 8 marks International Women’s Day and as we celebrate the accomplishments of dynamic women across the world, I sat across from one such Clouderan, Vicki Zingiris, Director of Value-Based Services. We discussed important initiatives at Cloudera, the influence that Martial Arts has had on how she leads, collaborates, and mentors, and concluded with some valuable advice for women in the workforce. .
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.
Rockset
MARCH 10, 2022
This is the first post in a series by Rockset's CTO Dhruba Borthakur on Designing the Next Generation of Data Systems for Real-Time Analytics. We'll be publishing more posts in the series in the near future, so subscribe to our blog so you don't miss them! Posts published so far in the series: Why Mutability Is Essential for Real-Time Data Analytics Handling Out-of-Order Data in Real-Time Analytics Applications Handling Bursty Traffic in Real-Time Analytics Applications SQL and Complex Queries A
KDnuggets
MARCH 10, 2022
Good quality data becomes imperative and a basic building block of an ML pipeline. The ML model can only be as good as its training data.
Monte Carlo
MARCH 10, 2022
For the second consecutive year, Monte Carlo was today named to the Enterprise Tech 30 (ET30), an exclusive list of the most promising companies in enterprise technology, as determined by some of the world’s top venture capitalists. Sponsored by Wing Venture Capital and Nasdaq, more than 15,000 private venture-backed companies are considered. The list is then narrowed to 10 early stage ($25 million or less raised), 10 mid stage ($25 to $100 million raised), and 10 late stage ($100 million or mor
dbt Developer Hub
MARCH 9, 2022
Special Thanks: Emilie Schario, Matt Winkler dbt has done a great job of building an elegant, common interface between data engineers, analytics engineers, and any data-y role, by uniting our work on SQL. This unification of tools and workflows creates interoperability between what would normally be distinct teams within the data organization. I like to call this interoperability a “baton pass.
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.
Rockset
MARCH 8, 2022
Photo by Adil from Pexels I’ve found that every startup today fits into one of two categories: A solution that focuses mainly on enhancing a larger solution or platform. A solution that has arrived in the wake of those that have come before. The first category is a symbiotic relationship — think of the shark and remora fish. Even though there is a mutual benefit, one of the parties has a more significant dependency on the other.
KDnuggets
MARCH 7, 2022
In this article, you will learn to export your models and use them outside a Jupyter Notebook environment. You will build a simple web application that is able to feed user input into a machine learning model, and display an output prediction to the user.
Monte Carlo
MARCH 10, 2022
Monte Carlo’s Barr Moses sat down with Snowflake Director of Product Management Chris Child to talk about building data platforms at scale, how awesome data teams approach data quality, the role of data observability tools in the modern data stack, and more. To put it simply, to understand modern data engineering, you need to understand Snowflake. And as your data platform becomes productized, you need to get serious about data quality.
Data Engineering Podcast
MARCH 5, 2022
Summary Databases are an important component of application architectures, but they are often difficult to work with. HarperDB was created with the core goal of being a developer friendly database engine. In the process they ended up creating a scalable distributed engine that works across edge and datacenter environments to support a variety of novel use cases.
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.
Cloudera
MARCH 11, 2022
With the launch of CDP Public Cloud 7.2.14, Cloudera Streams Messaging for Data Hub deployments has gotten some powerful new features! In this release , the Streams Messaging templates in Data Hub will come with Apache Kafka 2.8 and Cruise Control 2.5 providing new core features and fixes. KConnect has been added and gains additional capabilities with new connectors and Stateless Apache NiFi capabilities which can run NiFi Flows as connectors.
KDnuggets
MARCH 11, 2022
To forecast costs for AI systems, it can be useful to talk about their “level” just like SAE has levels for self-driving cars. Adopting a level system can help organizations plan and prepare for AI systems that scale in complexity over time.
KDnuggets
MARCH 9, 2022
This article discusses 2 levels of data science learning, and the amount of time that will need to go into each. From 6 months to 4 years, this write-up covers a number of skills and how long it takes to acquire them.
KDnuggets
MARCH 9, 2022
It takes time and considerable resources to collect, document, and clean data before it can be used. But there is a way to address this challenge – by using synthetic data.
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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.
KDnuggets
MARCH 8, 2022
A time series feature engineering pipeline requires different transformations such as imputation and window aggregation, which follows a sequence of stages. This article demonstrates the building of a pipeline to derive multivariate time series features such that the features can then be easily tracked and validated.
KDnuggets
MARCH 5, 2022
Open data improves accessibility and encourages universal participation, which allows companies to create cutting-edge, data-driven technologies and make the world a better place.
KDnuggets
MARCH 8, 2022
In the majority of companies, the executives in charge of data science and the decision-making process using data science, have little or no education or understanding in actual data science. Where does this leave you, the data scientist?
KDnuggets
MARCH 7, 2022
Learn these to take any data science project idea from brainstorm to deployment.
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.
KDnuggets
MARCH 11, 2022
Share the interactive code blocks to impress your colleagues or post it on social media.
KDnuggets
MARCH 10, 2022
This article is an excerpt from the book Machine Learning with PyTorch and Scikit-learn is the new book from the widely acclaimed and bestselling Python Machine Learning series, fully updated and expanded to cover PyTorch, transformers, graph neural networks, and best practices.
KDnuggets
MARCH 9, 2022
This week's top posts are: Build a Machine Learning Web App in 5 Minutes by Natassha Selvaraj; 5 Applications of Computer Vision by Devin Partida; 5 Data Science Projects to Learn 5 Critical Data Science Skills by Nate Rosidi.
KDnuggets
MARCH 9, 2022
Here are some lessons inspired by a recent panel the author moderated about how data scientists can help put equity into practice.
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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