Sat.Sep 30, 2023 - Fri.Oct 06, 2023

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What is Data Enrichment? Best Practices and Use Cases

Precisely

How much data is your business generating each day? While answers will vary by organization, chances are there’s one commonality: it’s more data than ever before. But what do you do with all that data? According to the 2023 Data Integrity Trends and Insights Report , published in partnership between Precisely and Drexel University’s LeBow College of Business, 77% of data and analytics professionals say data-driven decision-making is the top goal of their data programs.

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Introduction of Microsoft Fabric

Analytics Vidhya

In today’s rapidly evolving digital landscape, seamless data, applications, and device integration are more pressing than ever. Enter Microsoft Fabric, a cutting-edge solution designed to revolutionize how we interact with technology. This article will explore the key features and benefits, identify the ideal users for this solution, and guide you on when and how to […] The post Introduction of Microsoft Fabric appeared first on Analytics Vidhya.

Designing 261
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How to use the BranchPythonOperator

Marc Lamberti

Are you looking for a way to choose one task or another? Do you want to execute a task based on a condition? Do you have multiple tasks, but only one should be executed if a criterion is valid? You’ve come to the right place! The BranchPythonOperator does precisely what you are looking for. It’s common to have DAGs with different execution flows, and you want to follow only one, depending on a value or a condition.

Python 246
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Current 2023 Announcements

Jesse Anderson

Confluent had their Current Conference (Videos: day one and day two ). There were many announcements that both technologists and investors need to know about. Confluent had two moats (replication and Confluent Cloud), and now they anticipate three moats (replication, Confluent Cloud, serverless Flink). As expected with a vendor conference, there is a lot of marketing from the stage.

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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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Building ETL Pipelines With Generative AI

Data Engineering Podcast

Summary Artificial intelligence applications require substantial high quality data, which is provided through ETL pipelines. Now that AI has reached the level of sophistication seen in the various generative models it is being used to build new ETL workflows. In this episode Jay Mishra shares his experiences and insights building ETL pipelines with the help of generative AI.

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Airflow Sensors: What you need to know

Marc Lamberti

Airflow Sensors are one of the most common tasks in data pipelines. Why? Because a Sensor waits for a condition to be true to complete. Do you need to wait for a file? Check if an SQL entry exists? Delay the execution of a DAG? That’s the few possibilities of the Airflow Sensors. If you want to make complex and robust data pipelines, you have to understand how Sensors work genuinely.

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The Ultimate Data Engineering Chadstack. Running Rust inside Apache Airflow.

Confessions of a Data Guy

Is there anything more Chad than Apache Airflow … and Rust? I think not you whimp. What two things do I love most? At the moment Rust and Airflow are at least somewhere at the top of that list. I wring my hands sometimes, wishing that things and technologies somehow come together into some bubbling […] The post The Ultimate Data Engineering Chadstack.

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Making applyInPandasWithState less painful

Waitingforcode

Do not get the title wrong! Having applyInPandasWithState in the PySpark API is huge! However, due to Python duck typing, some operations are more difficult and more risky to express in the code than in the strongly typed Scala API.

Scala 147
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3 Data Science Projects Guaranteed to Land You That Job

KDnuggets

Imagine you’re allowed to do only three data science projects. Which should you choose to guarantee you get the job? Here’s my choice!

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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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AMM Performance Testing Report

Ripple Engineering

Overview In the rippled 1.12.0 release, the AMM amendment stands out as a significant feature in both size and scope. Since September 2022, the RippleX performance team has collaborated closely with the engineering team responsible for the AMM feature implementation. This report presents a thorough overview of our testing approach, findings, and key takeaways.

AWS 144
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ArcGIS Utility Network: Out-of-the-Box

ArcGIS

Learn how the ArcGIS Utility Network is ready to use without spending a significant amount of time configuring or customizing.

Utilities 135
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How LinkedIn Is Using Embeddings to Up Its Match Game for Job Seekers

LinkedIn Engineering

Think of how many times a day you use some type of search functionality across your devices and applications to discover information, find a contact, or a new job opportunity. The truth is we all depend on the ability to search for things online, and finding the right match to the information, organization, or to a job that maps to your skills and interests makes all the difference in our experiences and the knowledge we can gain.

IT 133
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How Close Are We to AGI?

KDnuggets

Will AI be able to surpass human intelligence? An article going through the current progression, and challenges of AGI.

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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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Airflow Variables: The Ultimate Guide

Marc Lamberti

Airflow Variables are easy to use but easy to misuse as well. In this tutorial, you will learn everything you need about variables in Apache Airflow. What are they, how do they work, define one, get the value, and more. If you followed my course “Apache Airflow: The Hands-On Guide” variables shouldn’t sound unfamiliar. This time, I will give you all I know about variables so that, in the end, you will be ready to use Variables in your DAGs properly.

AWS 130
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Introduction to using Rust Libraries (cargo and crates)

Confessions of a Data Guy

So perhaps you’re thinking it’s time to use Rust on your next project. You’ll find plenty of primers on how to get your feet wet in the language (and if you somehow made it this far without that much, The Book is that starting point), but maybe you’re feeling a bit lost amidst the seas […] The post Introduction to using Rust Libraries (cargo and crates) appeared first on Confessions of a Data Guy.

Project 130
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More Effectively Control and Limit Your Spend With Budgets

Snowflake

At Snowflake, we’re committed to helping customers effectively manage and optimize spend. To this effect, we’re excited to launch the public preview of Budgets on AWS today, which enables customers to set spending limits and receive notifications for Snowflake credit usage for either their entire Snowflake account or for a custom group of resources within an account.

Retail 126
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Data Visualization: Presenting Complex Information Effectively

KDnuggets

Learn how to present complex information effectively with data visualization.

Data 147
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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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Airflow Variables: The Ultimate Guide

Marc Lamberti

Airflow Variables are easy to use but easy to misuse as well. In this tutorial, you will learn everything you need about variables in Apache Airflow. What are they, how do they work, define one, get the value, and more. If you followed my course “Apache Airflow: The Hands-On Guide” variables shouldn’t sound unfamiliar. This time, I will give you all I know about variables so that, in the end, you will be ready to use Variables in your DAGs properly.

AWS 130
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Meta contributes new features to Python 3.12

Engineering at Meta

Python 3.12 is out! It includes new features and performance improvements – some contributed by Meta – that we believe will benefit all Python users. We’re sharing details about these new features that we worked closely with the Python community to develop. This week’s release of Python 3.12 marks a milestone in our efforts to make our work developing and scaling Python for Meta’s use cases more accessible to the broader Python community.

Python 121
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Announcing Inference Tables: Simplified Monitoring and Diagnostics for AI models

databricks

Have you ever deployed an AI model, only to discover it's delivering unexpected results in a real-world setting? Monitoring models is as crucial.

IT 118
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Getting Started with Google Cloud Platform in 5 Steps

KDnuggets

Explore the essentials of Google Cloud Platform for data science and ML, from account setup to model deployment, with hands-on project examples.

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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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Building a Customer 360 in the Snowflake Data Cloud with RudderStack 

Snowflake

Today’s consumer expects a personalized, relevant, end-to-end customer experience. Delivering this level of engagement can drive transformational growth, but it requires a new level of sophistication and a deep understanding of the customer. Data fuels that understanding, and the holy grail for companies is to achieve a holistic view of the customer and their journey.

Cloud 114
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Why I joined ThoughtSpot: Jeff Depa, Chief Revenue Officer

ThoughtSpot

This blog is part of our ongoing ‘Why I joined ThoughtSpot’ series, where we profile Spotters from around the world to learn who they are and why they chose a career at ThoughtSpot. Jeff Depa recently joined ThoughtSpot as Chief Revenue Officer, and is based out of Austin, Texas. In this role, Jeff will contribute to ThoughtSpot’s strategic growth and revenue goals by maximizing profit through go to market strategies that address the entire customer lifecycle.

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Bringing Software Engineering Best Practices to Life Sciences R&D at Exai Bio

databricks

This blog was written in collaboration with Sukh Sekhon, Software Engineer, Cloud Infrastructure and Helen Li, Sr. Director of Engineering at Exai Bio.

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5 Free Platforms for Building a Strong Data Science Portfolio

KDnuggets

Build an irresistible portfolio that hooks recruiters with these 5 free platforms - you won't believe how easy it is!

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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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Pinternship Wrap-Up: Summer 2023

Pinterest Engineering

Each summer, Pinterest welcomes Software Engineering Pinterns who spend 12 weeks with us creating impact within our product and teams. While Pinterns are fully immersed in their teams throughout the summer, they also get to attend exciting activities and events hosted by the University Recruiting team and within the company. Here’s a quick recap from this summer: Social events were a hit with boba tea making, creating your own vision board, chocolate making and a virtual escape room.

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Configure and Manage Data Pipelines Replication in Snowflake with Ease

Snowflake

We are excited to announce the availability of data pipelines replication, which is now in public preview. In the event of an outage, this powerful new capability lets you easily replicate and failover your entire data ingestion and transformations pipelines in Snowflake with minimal downtime. Turnkey data pipelines replication and failover Snowflake provides a best-in-class experience for data engineering workloads.

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How Ribbon Health and Databricks Unlock Better Patient Care

databricks

This blog post was written in collaboration with Eric Schwartz, Director of Partnerships at Ribbon Health, and David Kulwin, Director, Databricks Marketplace. Ensuring.

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