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.

Data Engineering 160

Data Engineering Data Engineer Engineering Data 160

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

Machine Learning 100

Machine Learning Systems Data Lake Java 100

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 […].

Kafka 106

Kafka Technology Data 106

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.

Insurance 99

Insurance Data Government Accessible 99

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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

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.

Metadata 153

Metadata Management Data Data Science 153

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.

Data Warehouse 100

Data Warehouse Data Lake Data Pipeline BI 100

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

IT 99

IT Manufacturing Telecommunication Banking 99

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.

Coding 149

Coding Python Data Science Data 149

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.

Systems 97

Systems Management 97

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.

Metadata 77

Metadata Datasets Machine Learning Designing 77

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

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.

Management 89

Management Media Education Programming 89

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.

Cloud 143

Cloud Data Science Machine Learning Project 143

Teradata

APRIL 29, 2022

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

Retail 98

Retail Data Analytics Data 98

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.

Medical 52

Medical Designing Data Pipeline Database 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

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.

Data Warehouse 52

Data Warehouse Bytes SQL AWS 52

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.

Data Science 112

Data Science Data Ingestion Machine Learning Python 112

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.

Architecture 52

Architecture Engineering Systems Algorithm 52

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.

Kafka 52

Kafka Data Warehouse Database Data 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

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.

Algorithm 52

Algorithm Systems 52

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.

Data Science 123

Data Science Project Building Data 123

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.

Kafka 40

Kafka Data Lake Machine Learning Data 40

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.

IT 64

IT Data Pipeline Data Engineering Data Engineer 64

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

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.

Data Management 108

Data Management Management Data Data Science 108

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!

Data Science 94

Data Science Machine Learning Data Building 94

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.

102

102

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.

Machine Learning 90

Machine Learning Coding Data Science SQL 90

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

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.

Python 98

Python Programming Language Programming 98

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.

Programming 84

Programming Data Management 84

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.

SQL 108

SQL Data Science Data IT 108

KDnuggets

APRIL 26, 2022

Create simple, effective machine learning plots with Yellowbrick.

Machine Learning 127

Machine Learning 127

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