KDnuggets
APRIL 27, 2022
Solving the Python coding interview questions is the best way to get ready for an interview. That’s why we’ll lead you through 15 examples and five concepts these questions cover.
Data Engineering Podcast
APRIL 24, 2022
Summary There are very few tools which are equally useful for data engineers, data scientists, and machine learning engineers. WhyLogs is a powerful library for flexibly instrumenting all of your data systems to understand the entire lifecycle of your data from source to productionized model. In this episode Andy Dang explains why the project was created, how you can apply it to your existing data systems, and how it functions to provide detailed context for being able to gain insight into all o
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Confluent
APRIL 25, 2022
Data streaming is a new category of technology that is reshaping the way businesses operate, but there hasn’t been a place for everyone in the ecosystem to come together and […].
Teradata
APRIL 26, 2022
Managing the new class of emerging risks requires infusing the principles of resiliency and efficient risk analytics into traditional risk management frameworks.
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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
APRIL 25, 2022
Create and collaborate on data science projects or train machine learning models using free cloud Jupyter notebook platforms. You get a hassle-free IDE experience and free compute resources.
Cloudera
APRIL 29, 2022
April is Autism Awareness Month, and as we close out the month I sat down with Clouderan Susana L ó pez Huertas, who shared her story of raising a son with autism and the work she is doing to promote an environment where autistic adults can thrive in the workforce. . Meet Susana L ó pez Huertas. Susana, who has been a part of Cloudera for about a year, works out of the Madrid office as a senior account manager for the country’s Telecom, Media, and Central Public Sector accounts.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Teradata
APRIL 29, 2022
Find out why data analytics and connectivity will be the difference between retailing taking off and being grounded.
KDnuggets
APRIL 27, 2022
In this article, we will have a look at five distinct data careers, and hopefully provide some advice on how to get one's feet wet in this convoluted field.
Rockset
APRIL 28, 2022
It is often said time flies when you are having fun and I couldn't agree more. I have been at Rockset for almost three years now and it is still so interesting to me. On one hand, I am just getting started and have so much more to do and on the other, I am so proud of the distance we have covered in the last few years! Photo by Daoudi Aissa on Unsplash Our customers tell us that the work we are doing matters to them: Rockset made me a hero on day three of my new job.
Monte Carlo
APRIL 28, 2022
Most data pros know Snowflake’s pricing model is consumption based–you pay for what you use. What many don’t know is Snowflake actually WANTS you to optimize your costs and has provided helpful features to rightsize your consumption. Waste isn’t good for anyone. Instead of spinning cycles on deteriorated SQL queries, the data cloud provider would rather have you focus those Snowflake credits toward projects like building data apps.
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.
Yelp Engineering
APRIL 24, 2022
Yelp’s mission is to connect people with great local businesses. On the Recommendations & Discovery team, we sift through billions of users-business interactions to learn user preferences. Our solutions power several products across Yelp such as personalized push notifications, email engagement campaigns, the home feed, Collections and more. Here we discuss the generalized user to business recommendation model which is crucial to a lot of these applications.
KDnuggets
APRIL 25, 2022
Metadata is the data providing context about the data, more than what you see in the rows and columns. By managing your metadata, you're effectively creating an encyclopedia of your data assets.
Rockset
APRIL 26, 2022
As Kafka Summit is in full swing in London this week and the topic of event streaming is all over my Linkedin feed, I saw a post asking " Is streaming dead? " referring to CNN+ being shut down. In the last few days, Netflix took a once-in-a-lifetime beating in the stock market , and CNN redefined fail fast ( pioneered by Silicon Valley ) when it announced the breaking news that it will shut down CNN+ just weeks after a very splashy debut.
Scribd Technology
APRIL 27, 2022
We are very excited to be presenting and attending this year’s Data and AI Summit which will be hosted virtually and physically in San Francisco from June 27th-30th. Throughout the course of 2021 we completed a number of really interesting projects built around delta-rs and the Databricks platform which we are thrilled to share with a broader audience.
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 Engineering Podcast
APRIL 24, 2022
Summary A huge amount of effort goes into modeling and shaping data to make it available for analytical purposes. This is often due to the need to simplify the final queries so that they are performant for visualization or limited exploration. In order to cut down the level of effort involved in making data usable, Matthew Halliday and his co-founders created Incorta as an end-to-end, in-memory analytical engine that removes barriers to insights on your data.
KDnuggets
APRIL 29, 2022
Top-rated data science tracks consist of multiple project-based courses covering all aspects of data. It includes an introduction to Python/R, data ingestion & manipulation, data visualization, machine learning, and reporting.
Cloudera
APRIL 27, 2022
Modern businesses have vast amounts of data at their fingertips and are acutely aware of how enterprise data strategies positively impact business outcomes. Despite this, only a handful of organisations interact with all stages of the data life cycle process to truly distill information that distinguishes future-ready businesses from the rest. Much potential remains untapped when businesses do not translate their data into actionable insights from the point it is created, eroding the usefulness
Zalando Engineering
APRIL 27, 2022
Anyone who has been following the topic of Site Reliability Engineering (SRE) has likely heard of Service Level Objectives (SLOs) , and Service Level Indicators (SLIs). SLIs and SLOs are at the core of the SRE practices. They are fundamental to establish the balance between building new features on a product, shipping fast, or working on the reliability of that product.
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.
Netflix Tech
APRIL 26, 2022
by Vivek Kaushal At Netflix, we aim to provide recommendations that match our members’ interests. To achieve this, we rely on Machine Learning (ML) algorithms. ML algorithms can be only as good as the data that we provide to it. This post will focus on the large volume of high-quality data stored in Axion?—?our fact store that is leveraged to compute ML features offline.
KDnuggets
APRIL 25, 2022
Also: 8 Free MIT Courses to Learn Data Science Online; Build a Machine Learning Web App in 5 Minutes; Best Data Science Books for Beginners; Linear vs Logistic Regression; and more!
Cloudera
APRIL 27, 2022
This week I participated in an informative event that Cloudera hosted with TechCrunch: Data and the Culture Transformation. The event was moderated by tech industry analyst Maribel Lopez, and we were joined by Shirley Collie, chief health analytics actuary at Discovery Health in South Africa. The conversations focused on how company data cultures are rapidly evolving and delivering new levels of value to businesses with the emergence of data ecosystems.
Monte Carlo
APRIL 26, 2022
What is DataOps? DataOps is a discipline that merges data engineering and data science teams to support an organization’s data needs, in a similar way to how DevOps helped scale software engineering. Similar to how DevOps applies CI/CD to software development and operations, DataOps entails a CI/CD-like, automation-first approach to building and scaling data products.
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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
APRIL 27, 2022
A Brief Introduction to Papers With Code; Machine Learning Books You Need To Read In 2022; Building a Scalable ETL with SQL + Python; 7 Steps to Mastering SQL for Data Science; Top Data Science Projects to Build Your Skills.
KDnuggets
APRIL 26, 2022
Global risk management is an arena where data brings order to an unpredictable world. Johns Hopkins University’s part-time Master of Arts in Global Risk (online) takes just 18 to 21 months to complete. This multidisciplinary program helps professionals develop the skills to make forward-looking decisions that contribute to risk management.
KDnuggets
APRIL 28, 2022
We’re proud to announce that the 4th annual Knowledge Graph Conference is taking place on May 2-6 at Cornell Tech, NYC and virtually on Airmeet.
KDnuggets
APRIL 29, 2022
Extract, profile, and manage your customer data in a flash with customer data management solutions, and achieve a customer-centric culture.
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
APRIL 25, 2022
Check out this list of data science project ideas that you can use to boost your skills, organized by level of expertise.
KDnuggets
APRIL 28, 2022
If you don’t already know a programming language, or if you’re deciding to choose another language, have a read and see if Python is for you.
KDnuggets
APRIL 27, 2022
Data-centric learning resources are somewhat scattered today, and that’s why we developed a new Data Centric Deep Learning course on the co:rise education platform. It is an introduction to a set of approaches and best practices, for people who are trying to do deep learning in the wild.
KDnuggets
APRIL 25, 2022
SQL is a must-know for anyone working in the data industry. Here’s how you can learn it from scratch.
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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