Start Data Engineering
OCTOBER 22, 2022
1. Introduction 2. Data project template 2.1. Prerequisites 2.2. Setup infra 2.3. Tear down infra 3. Set up data infrastructure 3.1. Run data infra on your laptop with containers 3.2. Manage cloud infrastructure with code 4. Set up development workflow 4.1. CI: Automated tests & checks before the merge with GitHub Actions 4.2. CD: Deploy to production servers with GitHub Actions 4.3.
The Pragmatic Engineer
OCTOBER 27, 2022
This issue was written in Oct 2022, sent out to all subscribers of The Pragmatic Engineer Newsletter in October 2022. The observations on how Big Tech hiring will slow down have since been validated, with Meta not only laying off in November, but also rescinding offers in January 2023, and Amazon doing the same. If you want to get the pulse of the industry in your inbox, subscribe.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Data Engineering Podcast
OCTOBER 23, 2022
Summary Agile methodologies have been adopted by a majority of teams for building software applications. Applying those same practices to data can prove challenging due to the number of systems that need to be included to implement a complete feature. In this episode Shane Gibson shares practical advice and insights from his years of experience as a consultant and engineer working in data about how to adopt agile principles in your data work so that you can move faster and provide more value to
KDnuggets
OCTOBER 24, 2022
Preprocessing data for machine learning models is a core general skill for any Data Scientist or Machine Learning Engineer. Follow this guide using Pandas and Scikit-learn to improve your techniques and make sure your data leads to the best possible outcome.
Advertisement
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?
Cloudera
OCTOBER 27, 2022
Abstract. The Apache Solr cluster is available in CDP Public Cloud , using the “Data exploration and analytics” data hub template. In this article we will investigate how to connect to the Solr REST API running in the Public Cloud, and highlight the performance impact of session cookie configurations when Apache Knox Gateway is used to proxy the traffic to Solr servers.
Teradata
OCTOBER 25, 2022
Developing an IT sustainability strategy can bring major positive change across the enterprise, lowering costs and optimizing resource use.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
KDnuggets
OCTOBER 25, 2022
As more businesses experiment with data, they realize that developing a machine learning (ML) model is only one of many steps in the ML lifecycle.
Cloudera
OCTOBER 26, 2022
?. It’s no secret that advancements like AI and machine learning (ML) can have a major impact on business operations. In Cloudera’s recent report Limitless: The Positive Power of AI , we found that 87% of business decision makers are achieving success through existing ML programs. Among the top benefits of ML, 59% of decision makers cite time savings, 54% cite cost savings, and 42% believe ML enables employees to focus on innovation as opposed to manual tasks.
Pinterest Engineering
OCTOBER 28, 2022
Lin Wang | Android Performance Engineer Designed by AJ Oxendine | Software Engineer It’s a well-known fact for Android developers that an app’s manifest (AndroidManifest.xml) holds crucial application declarations. It is rarely monitored after being set up because we assume it hardly ever changes. At Pinterest, however, we have been actively monitoring the manifest after realizing it does change every so often.
U-Next
OCTOBER 28, 2022
Introduction . Artificial Intelligence ( AI technology ) is the latest buzzword in the world of technology. We are moving towards a more intelligent world where machines are able to think, learn and make decisions on their own. AI has been used in various industries for years now. It has been used to improve search engines and provide recommendations based on your past searches. .
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.
KDnuggets
OCTOBER 28, 2022
In this article, I have explained some tips and tricks to optimize and speed up Python code.
Cloudera
OCTOBER 23, 2022
Demand for both entry-level and highly skilled tech talent is at an all-time high, and companies across industries and geographies are struggling to find qualified employees. And, with 1.1 billion jobs liable to be radically transformed by technology in the next decade, a “ reskilling revolution ” is reaching a critical mass. Already underrepresented populations like workers without a four-year degree are four times more likely to work in highly automatable jobs than individuals with a bachelor’
DataKitchen
OCTOBER 27, 2022
. Question: What is something the data industry is missing? I think it’s observability-led DataOps. I’ve come to believe that we, as an industry, will not change how people build things they’ve already made. They’re already being Heroes and have pain, unhappiness, and poor results. The first step to enlightenment. The first step in solving that pain is to observe what’s happening with your data and analytics ‘estate’ and stick little thermometers at va
U-Next
OCTOBER 27, 2022
Introduction . In today’s competitive and challenging world, data is one of the most powerful tools available to businesses and organizations. It helps overcome problems and obstacles, leading to more options and better solutions. . Keeping this data organized and easily accessible is important, but it also brings some hefty demands. If you can’t turn your data into actionable assets, all the data in the world won’t help you make the right business decision. .
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.
KDnuggets
OCTOBER 26, 2022
A Data Science Portfolio That Will Land You The Job in 2022 • Is OLAP Dead? • 10 Essential SQL Commands for Data Science • Why TinyML Cases Are Becoming More Popular • Ensemble Learning with Examples.
Rockset
OCTOBER 26, 2022
At Own the Moment , our mission is to drive the next generation of sports fandom – NFTs (non-fungible tokens) of pro athletes. Player NFTs are much more than the equivalent of digital baseball cards, they are the future of the sports collectibles market. We are helping to lead the way. Fans and investors can track real-time market values for NFL and NBA player NFTs through our service.
Monte Carlo
OCTOBER 26, 2022
While data teams can agree that data quality is important, it can be incredibly difficult to quantify, let alone communicate to the rest of the business. What if there was a way to tell your analysts that their critical data set wasn’t being monitored? Or that their financial dashboards were plagued by weekly freshness issues? How about a means of tracking – and alerting – on outages as a function of uptime and downtime?
U-Next
OCTOBER 27, 2022
Introduction . An MIS ( Management Information Systems ) executive is responsible for the management of an organization’s computer systems, applications, and networks. This includes overseeing the information technology (IT) department and ensuring that all platforms, including hardware, software, and telecommunications systems, are running smoothly.
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.
KDnuggets
OCTOBER 28, 2022
If you’re someone in data science or aiming to get into a data science career, this article will give you a comprehensive analysis of the state of the field.
Pinterest Engineering
OCTOBER 26, 2022
Bella Huang | Software Engineer, Home Candidate Generation; Raymond Hsu | Engineer Manager, Home Candidate Generation; Dylan Wang | Engineer Manager, Home Relevance In Homefeed, ~30% of recommended pins come from pin to pin-based retrieval. This means that during the retrieval stage, we use a batch of query pins to call our retrieval system to generate pin recommendations.
Confluent
OCTOBER 25, 2022
Joining two topics to aggregate data is fundamental in stream processing, but it’s not easy. Learn how to use kcat to debug and ensure two topics use the same keys in the same partitions.
U-Next
OCTOBER 27, 2022
Introduction . In today’s world of digital sales, it’s important to understand the power of your target market. This can help you focus on the right customers and ensure that you’re offering products that best fit their needs. It’ll also help you figure out ways to reach out to these people online and through social media platforms like Facebook, Instagram, or Twitter.
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.
KDnuggets
OCTOBER 24, 2022
Learn various algorithms to improve the robustness and performance of machine learning applications. Furthermore, it will help you build a more generalized and stable model.
DataKitchen
OCTOBER 25, 2022
Part 2: Introducing Data Journeys. This is the second post in DataKitchen’s four-part series on DataOps Observability. Observability is a methodology for providing visibility of every journey that data takes from source to customer value across every tool, environment, data store, team, and customer so that problems are detected and addressed immediately.
Cloudera
OCTOBER 25, 2022
Enabling data and analytics in the cloud allows you to have infinite scale and unlimited possibilities to gain faster insights and make better decisions with data. The data lakehouse is gaining in popularity because it enables a single platform for all your enterprise data with the flexibility to run any analytic and machine learning (ML) use case. Cloud data lakehouses provide significant scaling, agility, and cost advantages compared to cloud data lakes and cloud data warehouses.
U-Next
OCTOBER 27, 2022
Introduction . Data visualization aids in the telling of stories by filtering data into a more understandable format, showing patterns and outliers. A good visualization conveys a narrative by reducing noise from data and emphasizing important information. It is the most important aspect for any company. The stats provided below clearly indicate the significance of AI in Data visualization.
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.
KDnuggets
OCTOBER 27, 2022
Edge ML involves putting ML models on consumer devices where they can independently run inferences without an internet connection, in real-time, and at no cost.
Booking.com Engineering
OCTOBER 24, 2022
Improving GraphQL Federation Resiliency: Investigating Failed Schema Updates Primer: What are GraphQL and the Federation Gateway? At Booking.com, we are creating a unified data access layer for our accommodation services — a single entry point for accessing all relevant data, regardless of what resource it comes from. In order to make this a reality, we are using GraphQL.
Data Engineering Weekly
OCTOBER 23, 2022
Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. Sign up free to test out the tool today. Editor’s Note: DEW is the reader’s choice & Is Data Catalog living up to the hype?
U-Next
OCTOBER 27, 2022
Introduction . Cybersecurity risk management process is a topic of interest to many people. It’s because cybersecurity is a growing concern for businesses and individuals alike. As we continue to rely on technology more and more, the risk of cyber-attacks grows significantly. . So why should you gain knowledge of cybersecurity? It’s simple. you want to protect yourself and your family from malicious hackers. .
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.
Expert insights. Personalized for you.
148 
Let's personalize your content