Sat.Jun 24, 2023 - Fri.Jun 30, 2023

article thumbnail

What Data Engineers Really Do?

Analytics Vidhya

In a data-driven world, behind-the-scenes heroes like data engineers play a crucial role in ensuring smooth data flow. Imagine being an online shopper who suddenly receives irrelevant recommendations. A data engineer investigates the issue, identifies a glitch in the e-commerce platform’s data funnel, and swiftly implements seamless data pipelines.

article thumbnail

Domain Registrars which Developers Recommend

The Pragmatic Engineer

👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. In every issue, I cover topics related to Big Tech and startups through the lens of engineering managers and senior engineers. In this article, we cover one out of four topics from today’s subscriber-only The Scoop issue. To get full issues twice a week, subscribe here.

AWS 59
article thumbnail

Seamless SQL And Python Transformations For Data Engineers And Analysts With SQLMesh

Data Engineering Podcast

Summary Data transformation is a key activity for all of the organizational roles that interact with data. Because of its importance and outsized impact on what is possible for downstream data consumers it is critical that everyone is able to collaborate seamlessly. SQLMesh was designed as a unifying tool that is simple to work with but powerful enough for large-scale transformations and complex projects.

article thumbnail

Will ChatGPT Replace Data Scientists?

KDnuggets

Every job is at risk. Here’s how you can AI-proof your career.

Data 175
article thumbnail

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.

article thumbnail

Top 10 Powerful Data Modeling Tools to Know in 2023

Analytics Vidhya

Introduction In the era of data-driven decision-making, having accurate data modeling tools is essential for businesses aiming to stay competitive. As a new developer, a robust data modeling foundation is crucial for effectively working with databases. Properly configured data structures ensure a smoother workflow and prevent data loss or misplacement.

Database 211
article thumbnail

Introducing English as the New Programming Language for Apache Spark

databricks

Introduction We are thrilled to unveil the English SDK for Apache Spark, a transformative tool designed to enrich your Spark experience. Apache Spark™.

More Trending

article thumbnail

From Theory to Practice: Building a k-Nearest Neighbors Classifier

KDnuggets

The k-Nearest Neighbors Classifier is a machine learning algorithm that assigns a new data point to the most common class among its k closest neighbors. In this tutorial, you will learn the basic steps of building and applying this classifier in Python.

Building 151
article thumbnail

Mr. Pavan’s Data Engineering Journey Drives Business Success

Analytics Vidhya

Introduction We had an amazing opportunity to learn from Mr. Pavan. He is an experienced data engineer with a passion for problem-solving and a drive for continuous growth. Throughout the conversation, Mr. Pavan shares his journey, inspirations, challenges, and accomplishments. Thus, providing valuable insights into the field of data engineering. As we explore Mr.

article thumbnail

What is a self-serve data platform & how to build one

Start Data Engineering

1. Introduction 2. What is self-serve? 2.1. Components of a self-serve platform 3. Building a self-serve data platform 3.1. Creating dataset(s) 3.1.1. Gather requirements 3.1.2. Get data foundations right 3.2. Accessing data 3.3. Identify and remove dependencies 4. Conclusion 5. Further reading 6. References 1. Introduction Most companies want to build a self-serve data platform.

Building 130
article thumbnail

Yes, I'm learning Apache Flink - beginner's problems

Waitingforcode

Surprised? You shouldn't. I've always been eager to learn, including 5 years ago when for the first time, I left my Apache Spark comfort zone to explore Apache Beam. Since then I had a chance to write some Dataflow streaming pipelines to fully appreciate this technology and work on AWS, GCP, and Azure. But there is some excitement for learning-from scratch I miss.

AWS 130
article thumbnail

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!

article thumbnail

The Importance of Reproducibility in Machine Learning

KDnuggets

And how approaches to better data management, version control, and experiment tracking can help build reproducible ML pipelines.

article thumbnail

Exploring Graphs in Rust. Yikes.

Confessions of a Data Guy

I’ve been a dog licking my wounds for some time now. Over on my Substack newsletter, I’ve been doing a small series on DSA (Data Structures and Algorithms). I tackled some of the easier stuff first, like Linked Lists, Binary Search, and the like. What’s more, I actually did most of it in Rust, since […] The post Exploring Graphs in Rust.

Algorithm 130
article thumbnail

Data News — Week 23.25

Christophe Blefari

( credits ) Hey, this is the Data News. It's super hard to change habits, but it's how it is, the newsletter is going out on Saturday. I hope this edition finds you well. Summer is coming ☀️ Thank you all because we crossed the 3000 subscribers mark last week. Let's go for the 4000 before the end of the year 🤗 This is a almost-raw edition for this week.

article thumbnail

Lakehouse AI: a data-centric approach to building Generative AI applications

databricks

Generative AI will have a transformative impact on every business. Databricks has been pioneering AI innovations for a decade, actively collaborating with thousands.

Building 124
article thumbnail

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.

article thumbnail

Stable Diffusion: Basic Intuition Behind Generative AI

KDnuggets

This article provides a general overview of Stable Diffusion and focuses on building a basic understanding of how generative artificial intelligence works.

Building 122
article thumbnail

Building Real-time Machine Learning Foundations at Lyft

Lyft Engineering

Written by Konstantin Gizdarski and Martin Liu at Lyft. In early 2022, Lyft already had a comprehensive Machine Learning Platform called LyftLearn composed of model serving , training , CI/CD, feature serving , and model monitoring systems. On the real-time front, LyftLearn supported real-time inference and input feature validation. However, streaming data was not supported as a first-class citizen across many of the platform’s systems — such as training, complex monitoring, and others.

article thumbnail

Declarative Data Pipelines with Hoptimator

LinkedIn Engineering

For the last several years, internal infrastructure at LinkedIn has been built around a self-service model, enabling developers to onboard themselves with minimal support. We have various user experiences that let application teams provision their own resources and infrastructure, generally by filling out forms or using command-line tools. For example, developers can provision Kafka topics, Espresso tables, Venice stores and more via Nuage , our internal cloud-like infra management platform.

article thumbnail

Introducing LakehouseIQ: The AI-Powered Engine that Uniquely Understands your Business

databricks

Today, we are thrilled to announce LakehouseIQ, a knowledge engine that learns the unique nuances of your business and data to power natural.

article thumbnail

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?

article thumbnail

ChatGPT Plugins: Everything You Need To Know

KDnuggets

Learn more about the third-party plugins that OpenAI have rolled out to understand ChatGPTs in real-world use.

121
121
article thumbnail

What Is an Event in the Apache Kafka Ecosystem?

Confluent

Get an introduction into the world of events and event-driven architecture in Apache Kafka. Learn what events are and the role they play in event design, event streaming, and event-driven design.

Kafka 111
article thumbnail

From community to creation—celebrating a year of Product Ideas

ThoughtSpot

Active listening is an admired and sought after skill in both the professional and personal sphere. After all, who doesn’t love to be heard? But what happens when we apply that mindset to the way our organizations solicit feedback and interact with our customers? We don’t have to make any assumptions to answer this question, because we have the data.

article thumbnail

Introducing Lakehouse Federation Capabilities in Unity Catalog

databricks

Data teams face many challenges to quickly access the right data primarily due to data fragmentation, time and cost involved in consolidating data.

article thumbnail

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.

article thumbnail

Evolution of the Data Landscape

KDnuggets

The article follows the story of evolution in the data space through the lens of evolutionary patterns. It talks of the state of significant milestones in the evolutionary journey, their achievements, challenges, and the next milestone that solved those challenges. The article comes from both a business and technical perspective, owing to the persona of the authors.

Data 117
article thumbnail

High resolution data updates to Living Atlas World Elevation Layers and Tools (June 2023)

ArcGIS

In June 2023, elevation layers have been updated with high-res datasets of England, New Zealand and USA

article thumbnail

ThoughtSpot acquires Mode: Empowering data teams to bring Generative AI to BI

ThoughtSpot

At ThoughtSpot, we know how important it is for businesses of every size and industry to empower every knowledge worker with personalized, actionable data-driven insights. These insights are your secret sauce to making better business decisions, growing faster, and delivering customer experiences that keep people coming back for more. But how do you scale self-service analytics to business users without completely overwhelming your data teams?

BI 105
article thumbnail

Introducing Materialized Views and Streaming Tables for Databricks SQL

databricks

We are thrilled to announce that materialized views and streaming tables are now publicly available in Databricks SQL on AWS and Azure. Streaming.

SQL 105
article thumbnail

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.

article thumbnail

5 Free Books on Natural Language Processing to Read in 2023

KDnuggets

Large language models are getting released left right and center, and if you want to understand them better you need to know about NLP. Here are 5 Free books to help you.

Process 116
article thumbnail

Data Pipeline Observability: A Model For Data Engineers

Databand.ai

Data Pipeline Observability: A Model For Data Engineers Eitan Chazbani June 29, 2023 Data pipeline observability is your ability to monitor and understand the state of a data pipeline at any time. Specifically, observability provides insights into the pipeline’s internal states and how they interact with the system’s outputs. We believe the world’s data pipelines need better data observability.

article thumbnail

Celebrating Pride with ThoughtSpot's Rainbow Room ERG

ThoughtSpot

Pride is more than just a month-long celebration; it is a powerful movement that reminds us of the importance of equality, acceptance, and love. It is that special time of year for the global queer community to come together to celebrate, commemorate, and continue to push for progress. It’s no different here at ThoughtSpot. We believe in creating an inclusive environment where everyone feels seen, heard, and valued.

article thumbnail

Project Lightspeed Update - Advancing Apache Spark Structured Streaming

databricks

In this blog post, we will review the advancements in Spark Structured Streaming since we announced Project Lightspeed a year ago, from performance.

Project 98
article thumbnail

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.