Thu.Jul 27, 2023

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8 Programming Languages For Data Science to Learn in 2023

KDnuggets

Are you interested in Data Science? This blog will help you kickstart or advance your data science career. You'll learn about the most popular programming languages data scientists use to clean, analyze, visualize, and model data.

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Mapping packed circles

ArcGIS

Packed circles are a unique visualization technique for representing individual data points within an aggregate symbol.

Data 96
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An MLOps Mindset: Always Production-Ready

KDnuggets

A lack of an ML production mindset from the beginning of a project can lead to surprises later on, especially during production time, resulting in re-modeling and delayed time-to-market.

Project 75
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Managing Complex Propensity Scoring Scenarios with Databricks

databricks

Check our Solution Accelerator for Propensity Scoring for more details and to download the notebooks. Consumers increasingly expect to be engaged in a.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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ChatGPT Code Interpreter: Do Data Science in Minutes

KDnuggets

This new ChatGPT plugin can analyze data, write Python code, and build machine-learning models.

Coding 80
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Version Management in DevOps

Knowledge Hut

In today's rapidly evolving technological landscape, software development teams are constantly striving to deliver robust & reliable software applications at an accelerated pace. To enable this, DevOps has emerged as a widely adopted approach that promotes seamless & efficient collaboration between the development & operations teams. However, managing multiple versions of software code, particularly in large-scale, complex projects, can be a challenge.

More Trending

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How HomeToGo Is Building a Robust Clickstream Data Architecture with Snowflake, Snowplow and dbt

Snowflake

In this guest blog post, HomeToGo’s director of data, Stephan Claus, explains why the company migrated to Snowflake to meet its data needs. This article is based on Stephan’s presentation during the Snowflake Data World Tour 2022. Join us at this year’s world tour to learn more about the latest innovations to Snowflake’s Data Cloud. HomeToGo is the marketplace with the world’s largest selection of vacation rentals.

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Data Quality Engineer: Skills, Salary, & Tools Required

Monte Carlo

In This Article: What a data quality engineer does The skills, languages and tools of a data quality engineer Example data quality engineer job description Data quality engineer salary Data quality engineer career path and future demand What a data quality engineer does A data quality engineer ensures reliable, high quality data is delivered to internal and external stakeholders and applications.

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Understanding the Difference: Git vs GitHub

Knowledge Hut

When venturing into the realm of software development and version control, it is crucial to grasp the fundamental distinction between Git and GitHub. The debate surrounding Git versus GitHub has captivated developers across the globe. In this article, we embark on an exploration of the disparities between Git and GitHub, delving into their respective functionalities and applications within the software development process.

Coding 52
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Poor Data Quality is Pervasive, Impacting Trust in Data and Success Across Data Programs

Precisely

The results are in! The 2023 Data Integrity Trends and Insights Report , published in partnership between Precisely and Drexel University’s LeBow College of Business, delivers groundbreaking insights into the importance of trusted data. For the report, more than 450 data and analytics professionals worldwide were surveyed about the state of their data programs.

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Get Better Network Graphs & Save Analysts Time

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.

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Git Reflog Explained: Understanding its Purpose

Knowledge Hut

Unlock the secrets of Git's secret weapon: Git reflog. This powerful tool is your savior when it comes to recovering lost commits and branches. Discover how GitRef can undo changes, track history, and bring back lost code. Level up your DevOps skills by enrolling in courses and earning a DevOps certification. Empower your software development journey, boost collaboration, and deliver top-notch projects faster.

IT 52
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Harnessing the Power Within: The Value of AI and Data Science Training

Elder Research

The post Harnessing the Power Within: The Value of AI and Data Science Training appeared first on Elder Research.

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History of Agile Methodology: How it was Developed

Knowledge Hut

The history of Agile methodology can be found in the 1990s when software development practices were undergoing a significant transformation. During this time, many teams were frustrated with the limitations of traditional, plan-driven approaches that often resulted in missed deadlines, failed projects, and dissatisfied customers. Agile methodology is an iterative and collaborative project management and software development approach.

IT 52
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Costwiz: Saving cost for LinkedIn enterprise on Azure

LinkedIn Engineering

Authors: Deven Walia, Vivek Subramaniam , Simon Desowza , and Karthik Subramanian Cloud services have completely changed the way we approach infrastructure management. It’s now much easier to manage large infra requirements that have traditionally demanded an amalgamation of teams like DBA, Infra-SRE, Onprem-SMEs, network managers, and access control managers working together.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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Scrum vs Waterfall: A Complete Detailed Comparision

Knowledge Hut

Scrum and Waterfall are two popular project management methodologies. Scrum is flexible and iterative, breaking down projects into manageable tasks completed in short sprints. The Waterfall is a more traditional approach with sequential phases. Scrum allows adaptability and close collaboration, while Waterfall focuses on upfront planning and defined requirements.

Project 52
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The Ten Standard Tools To Develop Data Pipelines In Microsoft Azure

DataKitchen

The Ten Standard Tools To Develop Data Pipelines In Microsoft Azure. While working in Azure with our customers, we have noticed several standard Azure tools people use to develop data pipelines and ETL or ELT processes. We counted ten ‘standard’ ways to transform and set up batch data pipelines in Microsoft Azure. Is it overkill? Don’t they all do the same thing?

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What is Hashing and How Does It Work in Cyber Security?

Knowledge Hut

In the rapidly evolving landscape of cybersecurity, the significance of hashing (a cryptographic technique) cannot be emphasized enough. With cyber threats becoming increasingly complex and sophisticated, it is crucial for organizations and individuals to implement strong security measures to safeguard sensitive information and maintain data integrity.

IT 52
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An Introduction to TanStack Table by Jamie Macdonald

Scott Logic

There is no particular shortage of datagrid and table libraries for JavaScript projects. From powerful enterprise solutions like Ag Grid , to the spreadsheet-like Handsontable , to stylish components like MUI’s Table. Why are there so many? There are so many solutions because every table library represents a compromise of some kind or another. For instance, on a recent project, I found myself in a position where I wanted to get a datagrid up and running quickly with a couple of standard features

Project 52
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Understanding User Needs and Satisfying Them

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.

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What is Java Interface and Why it's Needed?

Knowledge Hut

Interfaces are blueprints for classes that define methods without implementing them. The contract enforces certain behaviors in the classes that implement it. By separating the definition of methods from their implementation, interfaces provide a way to achieve abstraction in Java. Polymorphism is achieved by allowing multiple classes to implement the same interface.

Java 52
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What’s the difference between HTML vs PHP?

Knowledge Hut

Two key web development technologies, HTML V PHP, each serve a different function. The markup language that is typically used to create the structure and layout of web pages is called HTML, or HyperText Markup Language. It offers a collection of pre-made tags and components that specify the structure and content of a webpage. In order to make sure that the material is correctly displayed and easily available to users, HTML concentrates on the front-end, or client-side, element of web development

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Hadoop Salary: A Complete Guide from Beginners to Advance

Knowledge Hut

The interesting world of big data and its effect on wage patterns, particularly in the field of Hadoop development, will be covered in this guide. As the need for knowledgeable Hadoop engineers increases, so does the debate about salaries. This article will examine the variables affecting Hadoop salary, highlight the typical wage ranges, and offer insightful advice for both newcomers and seasoned experts looking to enter the lucrative industry of big data Hadoop programming.

Hadoop 52
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Continuous Delivery and DevOps: Fostering Collaboration and Efficiency

Knowledge Hut

Continuous delivery and DevOps are key pillars of modern software development. They emphasize a culture of collaboration, efficiency, and frequent releases, which help organizations respond quickly to market changes. It is also a part of DevOps which is called DevOps continuous delivery. Recent years have significantly transformed the software development landscape, with Continuous Delivery and DevOps playing central roles.

Coding 52
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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.