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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.

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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.

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Data Analytics Suck! Worst Job Ever!

Confessions of a Data Guy

Being Data Analytics is a meat grinder, it’s the worst job ever. Horrible it is. It will crush you. The post Data Analytics Suck! Worst Job Ever! appeared first on Confessions of a Data Guy.

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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.

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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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Data News — Week 24.16

Christophe Blefari

easy ( credits ) Hey, new Friday, new Data News. This week, I feel like the selection is smaller than usual, so enjoy the links. I'm a bit late with the Recommendations emails, I'm sorry about that I got a few new leads as a freelancer I had to take in priority changing a bit my schedule. But don't worry it gonna be out soon. AI News 🤖 When do models get the same hype as 2007 iPhone release?

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10 Great Videos To Help You Learn Data Engineering

Seattle Data Guy

How data is structured, managed and processed will continue to grow in importance as the demand for AI and machine learning increase. It’s unavoidable that as businesses demand that their data teams implement AI, they will also realize that data engineers are a crucial piece of the data pipeline. That means, if you’re looking for… Read more The post 10 Great Videos To Help You Learn Data Engineering appeared first on Seattle Data Guy.

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DuckDB Out Of Memory – Has it been fixed?

Confessions of a Data Guy

Back in March, I did a writeup and experiment called DuckDB vs Polars, Thunderdom, 16GB on 4GB machine challenge. The idea was to see if the two tools could process “larger than memory” datasets with lazy execution. Polars worked fine, DuckDB failed in spectacular fashion. I also noted how many people had opened issues in […] The post DuckDB Out Of Memory – Has it been fixed?

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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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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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Career Opportunities in Software Engineering

Knowledge Hut

Software engineering is a rapidly growing field with vast career opportunities. Software career path offers diverse options, from developing mobile applications and games to creating sophisticated software systems that power businesses and industries. With emerging technologies like AI, machine learning, and blockchain, the demand for software engineers has skyrocketed.

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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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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!

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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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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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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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How To Run Your Python Scripts

Knowledge Hut

If you are planning to enter the world of Python programming, the first and the most essential skill you should learn is knowing how to run Python script and code. Once you grab a seat in the show, it will be easier for you to understand whether the code will actually work or not. To learn more about sys.argv command line argument, click here. Python, being one of the leading programming languages , has a relatively easy syntax which makes it even easier for the ones who are in their initial sta

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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!

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From the Boots of a Former CDO

Precisely

Jean-Paul Otte recently joined Precisely as Head of Data Strategy Services for Europe. His specialty? Data! Jean-Paul sat down for an interview where we discussed his background as a former CDO, the challenges he faced, and how he developed his unique perspective and data governance expertise. Hello Jean-Paul, could you tell us a little about your background?

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Top Hacking Techniques Explained For Beginners – 2024 Guide

Edureka

Since hackers are capable of doing substantial security and financial damage, finding ways to shield your network and systems against them is a necessity now. This is where ethical hacking techniques work as a defensive barrier to shield organisations. With escalating reliance on digital technologies, robust cybersecurity measures need to establish an equally strong defence system against cyber attacks.

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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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Unity Catalog Lakeguard: Industry-first and only data governance for multi-user Apache™ Spark clusters

databricks

Unlock the power of Apache Spark™ with Unity Catalog Lakeguard on Databricks Data Intelligence Platform. Run SQL, Python & Scala workloads with full data governance & cost-efficient multi-user compute.

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20 Best Cyber Security Books for Beginners and Professionals

Knowledge Hut

A tremendous amount of progress is being made in the field of cybersecurity today, opening up new job opportunities. If you are planning to pursue a career in cybersecurity, you must strongly consider reading some of the most authentic books. This article will guide you through the best book on cyber security. Enrolling in IT Security Certifications is also advisable as it will help you Upskill and attract more lucrative job opportunities.

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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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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.

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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Top 30 Project Management Skills You Must Have

Edureka

Project management is a very important field that has a big impact on companies’ performance in different sectors. The core of good management includes key project management skills that help managers deal with complicated problems, guide their teams, and achieve the goals they set out to reach. While knowing what project management is and its purpose works as the foundation, a detailed knowledge of advanced project management skills is essential to entering the space.

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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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Top 15 Highest Salary Jobs for Commerce Students

Knowledge Hut

In today's market, the demand for commerce career options and commerce stream jobs is at an all-time high. Medical and engineering are no longer the only two job options for a secure and promising future. The field of commerce is widening every day, with new career options for commerce students flooding the market and shooting employment rates worldwide.

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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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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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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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DevOps Practices: Learn How to Implement Best Practices for DevOps

Edureka

DevOps practices have helped businesses across the globe transform and achieve swifter deployment while fostering a collaborative ethos. From recognizing dysfunctional patterns to embracing processes that tackle them, DevOps extends a collection of best practices to nurture the software development cycle. In this article, let’s navigate some of the best DevOps practices that have been followed by businesses, small and large.

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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.

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Best Ethical Hacking Books for 2024 [Beginners to Advanced]

Knowledge Hut

Technology is rapidly growing and has plenty to offer. There are countless software tools and applications that we all use in our daily lives. Moreover, even industries and organizations rely on technology for their operations, better performance, and increased revenue. The only concern in technological advancements is intruder attacks to corrupt the network or data theft.

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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.