Sat.Apr 23, 2022 - Fri.Apr 29, 2022

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Data Scientist, Data Engineer & Other Data Careers, Explained

KDnuggets

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.

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Introducing Current 2022: The Next Generation of Kafka Summit

Confluent

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 […].

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Data Is Now a Team Sport

Cloudera

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.

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Gain Visibility Into Your Entire Machine Learning System Using Data Logging With WhyLogs

Data Engineering Podcast

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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Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

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15 Python Coding Interview Questions You Must Know For Data Science

KDnuggets

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.

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Kafka Summit London 2022: The Full Recap

Confluent

It’s official: Kafka Summit is back! Technically, it never went away—it just went online. But this week in London, Kafka Summit returned in all its glory to welcome over 1,200 […].

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Operational Analytics At Speed With Minimal Busy Work Using Incorta

Data Engineering Podcast

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.

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Top 5 Free Cloud Notebooks in 2022

KDnuggets

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.

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Big tech versus the airlines – who’s going to win in the modern retailing battle?

Teradata

Find out why data analytics and connectivity will be the difference between retailing taking off and being grounded.

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#ClouderaLife Spotlight: Susana López Huertas, Senior Account Manager

Cloudera

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.

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Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

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Evolution of ML Fact Store

Netflix Tech

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.

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How Metadata Improves Security, Quality, and Transparency

KDnuggets

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.

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Emerging Risks are Systemic

Teradata

Managing the new class of emerging risks requires infusing the principles of resiliency and efficient risk analytics into traditional risk management frameworks.

Systems 97
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DataOps Explained: How To Not Screw It Up

Monte Carlo

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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How to Modernize Manufacturing Without Losing Control

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

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Reflections of a Rockset UXer

Rockset

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.

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A Simple Guide to Machine Learning Visualisations

KDnuggets

Create simple, effective machine learning plots with Yellowbrick.

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Operation-Based SLOs

Zalando Engineering

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.

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3 Simple Steps For Snowflake Cost Optimization Without Getting Too Crazy

Monte Carlo

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.

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The Ultimate Guide to Apache Airflow DAGS

With Airflow being the open-source standard for workflow orchestration, knowing how to write Airflow DAGs has become an essential skill for every data engineer. This eBook provides a comprehensive overview of DAG writing features with plenty of example code. You’ll learn how to: Understand the building blocks DAGs, combine them in complex pipelines, and schedule your DAG to run exactly when you want it to Write DAGs that adapt to your data at runtime and set up alerts and notifications Scale you

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Beyond Matrix Factorization: Using hybrid features for user-business recommendations

Yelp Engineering

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.

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Top Data Science Projects to Build Your Skills

KDnuggets

Check out this list of data science project ideas that you can use to boost your skills, organized by level of expertise.

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Scribd is presenting at Data and AI Summit 2022

Scribd Technology

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.

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Streaming Data and Real-Time Analytics With Kafka + Rockset

Rockset

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.

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Apache Airflow® Best Practices: DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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Best Data Science Career Tracks of 2022

KDnuggets

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.

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Data Management: How to Stay on Top of Your Customer’s Mind?

KDnuggets

Extract, profile, and manage your customer data in a flash with customer data management solutions, and achieve a customer-centric culture.

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MLOps: The Best Practices and How To Apply Them

KDnuggets

Here are some of the best practices for implementing MLOps successfully.

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Connecting the Knowledge Ecosystem

KDnuggets

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.

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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High Availability SQL Server Docker Containers in Kubernetes

KDnuggets

Need high availability for SQL Server Docker containers in Kubernetes? Here’s how to get it.

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Why You Need To Learn Python In 2022

KDnuggets

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.

Python 108
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7 Steps to Mastering SQL for Data Science

KDnuggets

SQL is a must-know for anyone working in the data industry. Here’s how you can learn it from scratch.

SQL 108
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How Fast Can BERT Go With Sparsity?

KDnuggets

How much impact does sparsity have on model performance?

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.