Sat.Apr 20, 2024 - Fri.Apr 26, 2024

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How to test PySpark code with pytest

Start Data Engineering

1. Introduction 2. Ensure the code’s logic is working as expected with tests 2.1. Test types for data pipelines 2.2. pytest: A powerful Python library for testing 2.2.1. Set context, run code, check results & clean up 2.2.2. Tests are identified by their name 2.2.3. Use fixture to create fake data for testing 2.2.4. Define items to be shared among tests with conftest.

Coding 130
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Apache Spark Vs Apache Flink – How To Choose The Right Solution

Seattle Data Guy

As data increased in volume, velocity, and variety, so, in turn, did the need for tools that could help process and manage those larger data sets coming at us at ever faster speeds. As a result, frameworks such as Apache Spark and Apache Flink became popular due to their abilities to handle big data processing… Read more The post Apache Spark Vs Apache Flink – How To Choose The Right Solution appeared first on Seattle Data Guy.

Big Data 130
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Event time skew in stream processing

Waitingforcode

As a data engineer you're certainly familiar with data skew. Yes, this bad phenomena where one task takes considerably more input than the others and often causes unexpected latency or failures. Turns out, stream processing also has its skew but more related to time.

Process 130
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Announcing the General Availability of Databricks Asset Bundles

databricks

We're thrilled to announce the General Availability (GA) of Databricks Asset Bundles (DABs). With DABs you can easily bundle resources like jobs.

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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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Docker Fundamentals for Data Engineers

Start Data Engineering

1. Introduction 2. Docker concepts 2.1. Define the OS and its configurations with an image 2.2. Use the image to run containers 2.2.1. Communicate between containers and local OS 2.2.2. Start containers with docker CLI or compose 3. Conclusion 1. Introduction Docker can be overwhelming to start with. Most data projects use Docker to set up the data infra locally (and often in production).

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5 Free Stanford University Courses to Learn Data Science

KDnuggets

Are you an aspiring data scientist? If so, these free data science courses from Stanford will help you move forward in your data science journey!

More Trending

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Are we ready to put AI in the hands of business users? by Caitlin Salt

Scott Logic

Generative AI has been grabbing headlines, but many businesses are starting to feel left-behind. Large-model AI is becoming more and more influential in the market, and with the well-known tech giants starting to introduce easy-access AI stacks, a lot of businesses are left feeling that although there may be a use for AI in their business, they’re unable to see what use cases it might help them with.

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Climate and Sustainability Hackathon—Meet the Judges!

Cloudera

Back in October, we announced the first-ever Cloudera Climate and Sustainability Hackathon , powered by AMD. The Hackathon was intended to provide data science experts with access to Cloudera machine learning to develop their own Accelerated Machine Learning Project (AMP) focused on solving one of the many environmental challenges facing the world today.

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5 Free Advanced Python Programming Courses

KDnuggets

Looking to level up your Python skills without spending a dime? Check out this article featuring 5 advanced Python courses that you can take for free!

Python 98
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Register now and save 50% on training at Data + AI Summit

databricks

For a limited time, we're offering 50% off training and certification at Data + AI Summit with the following code: TRAIN50FOTY. This offer.

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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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Tech-Enabled Metropolises: The Role of Data Streaming in Smart Cities

Confluent

Smart city applications rely on the availability of sensor data from a range of sources in real time. Learn how data streaming with Confluent enables this.

Data 62
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Technical Learning at Lyft: Build a Strong Data Science Team

Lyft Engineering

Written by Shumpei Goke and Jinshu Niu Why Technical Learning? At Lyft, data scientists tackle challenging technical problems every day. To support and empower our data scientists, Lyft’s Technical Learning Council (TLC) provides diverse and high-quality continuous learning opportunities to hone their technical skills. TLC’s mission is “ to equip Data Science team members with the technical knowledge and skills that are applicable to their work and helpful to their career advancement.

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Integrating Generative AI in Content Creation

KDnuggets

Content creation can be tedious work and takes much of our time. With Generative AI, we can improve the quality and efficiency of our work.

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Aggregation Policy in Snowflake

Cloudyard

Read Time: 2 Minute, 59 Second Aggregation Policy: Let’s consider a scenario where Sachin Mittal , “Cloudyard,” has a central data repository stored in Snowflake. This repository contains detailed transaction records of customer orders across various stores. Sachin needs to share summarized transaction data with Vishal Kaushal (partner) regularly.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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CISSP (ISC2) Endorsement Application – Requirements and Process

Edureka

Established in 1994, CISSP certification is deemed to be the ‘Gold Standard’ certification in the world of cyber security. Therefore, only selected individuals flaunt its possession today. Besides offering a fairly competitive exam, CISSP also needs an endorsement to evaluate the overall credibility of a candidate. CISSP endorsement process refers to the final seal of approval, which only an approved ISC2-certified professional can grant after assessing your candidature.

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How to Create a React Native Portal with Examples

Knowledge Hut

In React, when we render a child element on any main components, the child component overlaps on the main component, causing a disturbance in the application’s structure. We can use the React portal concept to get rid of such disturbances. React portals allow us to place a child component directly inside another show and have it adhere to that element with overflow restrictions.

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7 Best Platforms to Practice Python

KDnuggets

Looking to level up your Python skills and ace coding interviews? Start practicing today on these platforms.

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Dans les bottes d’un ancien CDO

Precisely

Jean-Paul Otte a rejoint récemment Precisely en tant que responsable des services « Data Strategy » pour l’Europe. Sa spécialité ? La data ! Il s’est prêté au jeu d’une interview où nous avons discuté de son parcours notamment en tant qu’ancien CDO pour mieux comprendre les défis auxquels il a été confronté, et comment sa réflexion et son expertise autour de la gouvernance des données se sont forgées.

BI 52
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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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CISSP Exam Requirements | Eligibility, Cost, Skills & Experience

Edureka

The CISSP certification is a globally accredited certification for cyber security practitioners hoping to claim certified expertise in diverse domains of information security. It is one of the most sought-after certifications, and acquiring it demands aspirants to fulfil more than one criterion. The two main CISSP certification requirements are — successfully advancing through the CISSP exam and accumulating five years of work experience.

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ITIL Certification vs PRINCE2 – Understanding the Differences

Knowledge Hut

IT professionals need to upgrade their skills from time to time for better opportunities and to keep their skill sets current. Project and service management qualifications hold a significant value in the IT industry and are important for IT professionals that want to boost their careers. IT service management and project management are both essential functions that ensure enterprise success, driving the demand for certified professionals in each specialization, also sparking a debate on the com

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Retrieval Augmented Generation: Where Information Retrieval Meets Text Generation

KDnuggets

This article introduces retrieval augmented generation, which combines text generation with informaton retrieval in order to improve language model output.

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Your Living Atlas Questions Answered

ArcGIS

Do you have questions about how to access, use, or nominate content within ArcGIS Living Atlas of the World? Check out this blog for answers.

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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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What is Enumeration In Ethical Hacking – Types, Best Practices

Edureka

Enumeration serves as a vital technique in ethical hacking, essential for pinpointing system vulnerabilities and potential entry points. Mastery of enumeration in ethical hacking is indispensable for every ethical hacker to strengthen an organisation’s security stance effectively. Table of Contents What Is Enumeration in Ethical Hacking? Importance of Enumeration in Ethical Hacking & Cyber Security Types of Information Vulnerable to Enumeration Process of Enumeration 1.

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PMP Cheat Sheet and PMP Formulas To Use in 2024 and Beyond

Knowledge Hut

What spinach is to Popeye, Project Management Profession (PMP) certification is that to Project Managers. In simple words, it helps Project Management professionals to strengthen their careers. PMP is one of the most sought-after globally recognized certifications in the world. It is offered by the Project Management Institute (PMI). In fact, PMP certified professionals earn around 25% more than their uncertified peers.

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Semantic Search with Vector Databases

KDnuggets

Leverage the latest technology to improve our search engine capabilities.

Database 108
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Drawing a Blank? Understanding Drawing Alerts in ArcGIS Pro

ArcGIS

A drawing alert notification system was added in ArcGIS Pro 3.2 as a method for resolving drawing issues in your ArcGIS Pro projects.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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What is Vulnerability Assessment – Types, Tools & Best Practices

Edureka

Did you know that 98% of web applications are vulnerable to cyberattacks? As cyberattack practices are becoming more sophisticated with evolving technologies, it is important to run frequent system and server scans to search for potentially vulnerable access points and fix them. This is where vulnerability assessment proves its significance. Join us on this insightful read, where we delve into analyzing vulnerability in ethical hacking, dissect its importance as a risk management tool and naviga

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How to Use Tornado Diagram for the PMP® Certification Exam

Knowledge Hut

Project management is not a new discipline, but it is evolving and as a project manager you need to understand all the tools that a modern project manager has at their disposal. There are plenty of project management courses that you can rely on to upgrade your arsenal of project management tools and techniques. One of the tools that you will get acquainted with is the tornado diagram.

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Data Scientist Breakdown: Skills, Certifications, and Salary

KDnuggets

Learn about the growing demand for data scientists in the year 2024.

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Introducing Project Inception: The Next Evolution in Data Automation

Ascend.io

At Ascend, we believe it’s time to rethink data engineering from the ground up. As the world of data continues to evolve at a breakneck pace, we are thrilled to announce the next revolutionary step in our journey – Project Inception. Ascend has always been at the forefront of innovation, and with Project Inception, we’re setting a new standard.

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating