Sat.Oct 22, 2022 - Fri.Oct 28, 2022

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How to Make Python Code Run Incredibly Fast

KDnuggets

In this article, I have explained some tips and tricks to optimize and speed up Python code.

Python 160
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Build Data Engineering Projects, with Free Template

Start Data Engineering

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.

Project 147
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The Big Tech Hiring Slowdown Is Here and it will Hurt

The Pragmatic Engineer

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.

IT 130
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How To Bring Agile Practices To Your Data Projects

Data Engineering Podcast

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

Project 130
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Apache Airflow® Best Practices for ETL and ELT Pipelines

Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.

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Top 10 MLOps Tools to Optimize & Manage Machine Learning Lifecycle

KDnuggets

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.

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6 Steps to Developing a Successful IT Sustainability Strategy

Teradata

Developing an IT sustainability strategy can bring major positive change across the enterprise, lowering costs and optimizing resource use.

IT 95

More Trending

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Going From Transactional To Analytical And Self-managed To Cloud On One Database With MariaDB

Data Engineering Podcast

Summary The database market has seen unprecedented activity in recent years, with new options addressing a variety of needs being introduced on a nearly constant basis. Despite that, there are a handful of databases that continue to be adopted due to their proven reliability and robust features. MariaDB is one of those default options that has continued to grow and innovate while offering a familiar and stable experience.

Database 100
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Easy Guide To Data Preprocessing In Python

KDnuggets

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.

Python 160
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Watch your Manifest

Pinterest Engineering

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.

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Accelerating Projects in Machine Learning with Applied ML Prototypes

Cloudera

?. 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.

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Apache Airflow®: The Ultimate Guide to 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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Top Artificial Intelligence Companies to Look Out for in 2022-23

U-Next

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. .

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TF-IDF Defined

KDnuggets

Check out this breakdown of TF-IDF by defining its constituent parts.

IT 151
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Autonomous and As-A-Service Models Will Rely on Predictive Maintenance

Teradata

Data will drive the business models of next generation commercial vehicle suppliers. Find out how.

Data 52
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Reskilling Against the Risk of Automation

Cloudera

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’

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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.

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Motion in Motion: Building an End-to-End Motion Detection and Alerting System with Apache Kafka and ksqlDB

Confluent

How to build a complete motion detection and alerting system to power modern, real-time IoT and data streaming using Confluent.

Systems 52
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Graphs: The natural way to understand data

KDnuggets

Graph Algorithms for Data Science is a hands-on guide to working with graph-based data in applications like machine learning, fraud detection, and business data analysis. Filled with fascinating and fun projects, demonstrating the ins-and-outs of graphs.

Algorithm 142
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DataKitchen DataOps Observability Technical Product Overview

DataKitchen

52
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What Is Data Structure? Types, Classification, and Applications

U-Next

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. .

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15 Modern Use Cases for Enterprise Business Intelligence

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?

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Announcing Monte Carlo’s Data Reliability Dashboard, a Better Way Understand the Health of Your Data

Monte Carlo

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?

BI 52
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The Current State of Data Science Careers

KDnuggets

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.

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“Stick Little Thermometers in your Data Journeys”

DataKitchen

. 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

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MIS Executive Salary in 2022: Management Information Systems Job Profile

U-Next

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.

Systems 52
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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

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.

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Query Rewards: Building a Recommendation Feedback Loop During Query Selection

Pinterest Engineering

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.

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In Data We Trust: Data Centric AI

KDnuggets

Learn how data-centric AI can improve your model's overall performance.

Data 131
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Decision Process Improvement (DPI): Better, Faster Decisions

Elder Research

The post Decision Process Improvement (DPI): Better, Faster Decisions appeared first on Elder Research.

Process 52
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The 5WHs of Target Market Selection in Marketing

U-Next

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.

Media 52
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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

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.

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Case Study: How Rockset's Real-Time Analytics Platform Propels the Growth of Our NFT Marketplace

Rockset

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.

SQL 52
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Top 7 Diffusion-Based Applications with Demos

KDnuggets

Learn about various Diffusion-based applications to get inspiration for a final-year project, research, and product.

Project 131
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How to Deduplicate Events in Snowflake with dbt | Propel Data Analytics Blog

Propel Data

This article will demonstrate how to deduplicate events in Snowflake using dbt

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Importance of Data Visualization in AI

U-Next

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.

Data 52
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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.