Sat.Sep 02, 2023 - Fri.Sep 08, 2023

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ETL vs. ELT?

Waitingforcode

In our social media and marketing-driven era, it's quite hard to get things right. For me there is one common misconception brought by the Modern Data Stack idea that everything should be now ELT. In fact no, it shouldn't but only can.

Media 228
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Eliminate The Overhead In Your Data Integration With The Open Source dlt Library

Data Engineering Podcast

Summary Cloud data warehouses and the introduction of the ELT paradigm has led to the creation of multiple options for flexible data integration, with a roughly equal distribution of commercial and open source options. The challenge is that most of those options are complex to operate and exist in their own silo. The dlt project was created to eliminate overhead and bring data integration into your full control as a library component of your overall data system.

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Threads: The inside story of Meta’s newest social app

Engineering at Meta

Earlier this year, a small team of engineers at Meta started working on an idea for a new app. It would have all the features people expect from a text-based conversations app, but with one very key, distinctive goal – being an app that would allow people to share their content across multiple platforms. We wanted to build a decentralized (or federated) app that would enable people to post content that is viewable by anyone on other social apps, and vice versa.

Media 143
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Getting Started with Python Data Structures in 5 Steps

KDnuggets

This tutorial covers Python's foundational data structures - lists, tuples, dictionaries, and sets. Learn their characteristics, use cases, and practical examples, all in 5 steps.

Python 140
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Apache Airflow® 101 Essential Tips for Beginners

Apache Airflow® is the open-source standard to manage workflows as code. It is a versatile tool used in companies across the world from agile startups to tech giants to flagship enterprises across all industries. Due to its widespread adoption, Airflow knowledge is paramount to success in the field of data engineering.

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Securely Connect to LLMs and Other External Services from Snowpark

Snowflake

Snowpark is the set of libraries and runtimes that enables data engineers, data scientists and developers to build data engineering pipelines, ML workflows, and data applications in Python, Java, and Scala. Functions or procedures written by users in these languages are executed inside of Snowpark’s secure sandbox environment , which runs on the warehouse.

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Access a Vast Library of Satellite Imagery with New EarthCache Add-In for ArcGIS Pro

ArcGIS

Access a vast collection of satellite imagery with new EarthCache add-In for ArcGIS Pro.

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KDnuggets News, September 6: Happy 30th Anniversary KDnuggets! • Getting Started with Python Data Structures in 5 Steps

KDnuggets

Happy 30th Anniversary KDnuggets!

Python 139
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Top 20 Software Development Courses in 2023

Knowledge Hut

As a seasoned software developer with almost a decade of experience in the tech industry, I vividly remember the excitement of taking my first web development course. Back then, I was just starting my journey as a front-end web developer, and that course was a stepping-stone that transformed my career. Today, I am thrilled to share my insights on some of the top software development courses available, hoping to empower aspiring developers like you to find the perfect path to success.

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How to Run Apache Kafka on Windows

Confluent

Kafka-on-Windows tutorials are everywhere, but most run Kafka directly on Windows.

Kafka 116
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Apache Airflow® Best Practices: 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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Arcadia: An end-to-end AI system performance simulator

Engineering at Meta

We’re introducing Arcadia, Meta’s unified system that simulates the compute, memory, and network performance of AI training clusters. Extracting maximum performance from an AI cluster and increasing overall efficiency warrants a multi-input system that accounts for various hardware and software parameters across compute, storage, and network collectively.

Systems 113
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Python Basics: Syntax, Data Types, and Control Structures

KDnuggets

Want to learn Python? Get started today by learning Python's syntax, supported data types, and control structures.

Python 138
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Retail Personalization with RFM Segmentation and the Composable CDP

databricks

Check out our Solution Accelerator for RFM Segmentation for more details and to download the notebooks. For retail brands, effective customer engagement depends.

Retail 111
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New Fivetran connector streamlines data workflows for real-time insights

ThoughtSpot

In a survey by the Harvard Business Review , 87% of respondents stated their organizations would be more successful if frontline workers were empowered to make important decisions in the moment. And 86% of respondents stated that they needed better technology to enable those in-the-moment decisions. Those coveted insights live at the end of a process lovingly known as the data pipeline.

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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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Using Chakra execution traces for benchmarking and network performance optimization

Engineering at Meta

Meta presents Chakra execution traces , an open graph-based representation of AI/ML workload execution, laying the foundation for benchmarking and network performance optimization. Chakra execution traces represent key operations, such as compute, memory, and communication, data and control dependencies, timing, and resource constraints. In collaboration with MLCommons , we are seeking industry-wide adoption for benchmarking.

Metadata 110
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Meet MetaGPT: The ChatGPT-Powered AI Assistant That Turns Text Into Web Apps

KDnuggets

This revolutionary AI tool lets you create no-code web applications in just seconds!

Coding 133
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What’s New for Shared Clusters in Unity Catalog

databricks

We are thrilled to announce great enhancements to onboard more workloads to Unity Catalog clusters in shared access mode, Databricks' highly efficient, secure.

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MLEnv: Standardizing ML at Pinterest Under One ML Engine to Accelerate Innovation

Pinterest Engineering

Pong Eksombatchai | Principal Engineer; Karthik Anantha Padmanabhan | Manager II, Engineering Image from [link] Pinterest’s mission is to bring everyone the inspiration to create a life they love. We rely on an extensive suite of AI powered products to connect over 460M users to hundreds of billions of Pins, resulting in hundreds of millions of ML inferences per second, hundreds of thousands of ML training jobs per month by just a couple of hundreds of ML engineers.

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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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4 Steps to Shopper 360 Success for Retailers and Consumer Goods Brands

Snowflake

In today’s hyper-connected world of retail and consumer goods, understanding the customer journey is more critical than ever. As digital disruption and evolving customer expectations continue to shape the future of these sectors, organizations are striving to achieve ‘Shopper 360,’ a comprehensive and integrated view of their shoppers that is the retail equivalent of ‘Customer 360.

Retail 102
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Data Cleaning with Pandas

KDnuggets

This step-by-step tutorial is for beginners to guide them through the process of data cleaning and preprocessing using the powerful Pandas library.

Data 132
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Announcing Databricks Bengaluru Development Center

databricks

In May this year, we opened our latest development center in Bengaluru, India. We've been busy building out our R&D teams in India.

Building 105
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Use Python to Download Multiple Files (or URLs) in Parallel

Towards Data Science

Get more data in less time Photo by Wesley Tingey on Unsplash We live in a world of big data. Often, big data is organized as a large collection of small datasets (i.e., one large dataset comprised of multiple files). Obtaining these data is often frustrating because of the download (or acquisition burden). Fortunately, with a little code, there are ways to automate and speed-up file download and acquisition.

Python 98
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Apache Airflow® Crash Course: From 0 to Running your Pipeline in the Cloud

With over 30 million monthly downloads, Apache Airflow is the tool of choice for programmatically authoring, scheduling, and monitoring data pipelines. Airflow enables you to define workflows as Python code, allowing for dynamic and scalable pipelines suitable to any use case from ETL/ELT to running ML/AI operations in production. This introductory tutorial provides a crash course for writing and deploying your first Airflow pipeline.

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The University of Birmingham Strives to Graduate to a Data-Centric Culture with Snowflake

Snowflake

Higher education institutions have a lot of plates to spin, and the University of Birmingham is no exception. Following a tough pandemic, the need to digitally transform had never been more pressing. The university needed to modernize its data capabilities to better serve staff, students and researchers—and it used the Snowflake Data Cloud to do it.

Education 101
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Want to Become a Data Scientist? Part 1: 10 Hard Skills You Need

KDnuggets

A quick 10-step hard skill guide on what you need to become a Data Scientist.

Data 132
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Design and Deployment Considerations for Deploying Apache Kafka on AWS

Confluent

Want to run Kafka on AWS? Our full tutorial provides expert recommendations on how to deploy, monitor, and manage Kafka clusters on AWS.

Kafka 98
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Top Scrum Alliance Certifications That Pay Well in 2023

Knowledge Hut

Scrum Alliance training is crucial when it comes to proving competency in project management practices. A good Scrum Alliance certification can imminently help you to excel in your career. It is a versatile Agile Project Management framework suitable for any industry. Scrum Alliance certifications not only help to improve an organization's productivity but are also widely responsible for improving product qualities, risk mitigation, and robust team dynamics.

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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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How Toyota Financial Services Optimizes Performance and Cost with Snowflake

Snowflake

Snowflake’s fully managed platform helps minimize TCO by achieving faster time to insights and production, decreasing unplanned downtime and operational risks, and reducing business costs through customers paying only for actual usage. Snowflake also eliminates software license fees and recovers storage and server costs. Additionally, Snowflake reduces infrastructure costs, administrative efforts and maintenance so you can reallocate technology resources to higher-value business priorities.

Retail 99
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Introduction to Databases in Data Science

KDnuggets

Understand the relevance of databases in data science. Also learn the fundamentals of relational databases, NoSQL database categories, and more.

Database 131
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Spatial Data Engineering with Typescript

Towards Data Science

Establishing data pipelines towards automated spatial data science Continue reading on Towards Data Science »