Sat.Oct 21, 2023 - Fri.Oct 27, 2023

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Defining A Strategy For Your Data Products

Data Engineering Podcast

Summary The primary application of data has moved beyond analytics. With the broader audience comes the need to present data in a more approachable format. This has led to the broad adoption of data products being the delivery mechanism for information. In this episode Ranjith Raghunath shares his thoughts on how to build a strategy for the development, delivery, and evolution of data products.

BI 162
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Code Review on Printed Paper: an Excerpt from the Twitoons Comic Book

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 two out of seven topics from today’s full issue on The Man Behind the Big Tech Comics. To get full issues twice a week, subscribe here.

Coding 236
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Drag, Drop, Analyze: The Rise of No-Code Data Science

KDnuggets

No-code or low-code functionalities in data science have gained significant traction in recent years. These solutions are well-proven and matured, and they make data science more accessible to a wider range of people.

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Snowflake To Acquire Ponder, Boosting Python Capabilities In the Data Cloud

Snowflake

Python’s popularity has more than doubled in the past decade¹ and it is quickly becoming the preferred language for development across machine learning, application development, pipelines, and more. One of our goals at Snowflake is to ensure we continue to deliver a best-in-class platform for Python developers. Snowflake customers are already harnessing the power of Python through Snowpark , a set of runtimes and libraries that securely deploy and process non-SQL code directly in Snowflake.

Python 141
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A Guide to Debugging Apache Airflow® DAGs

In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate

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

ArcGIS

In October 2023, elevation layers have been updated with high-res datasets of France, New Zealand, USA, Italy along with global bathymetry.

Datasets 135
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Introducing Predictive Optimization: Faster Queries, Cheaper Storage, No Sweat

databricks

Predictive Optimization intelligently optimizes your Lakehouse table data layouts for peak performance and cost-efficiency - without you needing to lift a finger.

Data 133

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6 Steps to Avoid Messy Data in Your Warehouse

Start Data Engineering

1. Introduction 2. Six Steps for a Clean Data Warehouse 2.1. Understand the business 2.2. Make data easy to use with the appropriate data model 2.3. Good input data is necessary for a good data warehouse 2.4. Define Source of Truth (SOT) and trace its usage 2.5. Keep stakeholders in the loop for a more significant impact 2.6. Watch out for org-level red flags ?

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What's new in Apache Spark 3.5.0 - Structured Streaming

Waitingforcode

It's time to start the series covering Apache Spark 3.5.0 features. As the first topic I'm going to cover Structured Streaming which has got a lot of RocksDB improvements and some major API changes.

IT 130
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Announcing Apache Flink 1.18

Confluent

Read updates and improvements in Apache Flink 1.18, including dynamic fine-grained rescaling via REST API, Java 17 support, and faster rescaling & batch performance improvements.

Java 125
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5 Free Books to Master Machine Learning

KDnuggets

Machine Learning is one of the most exciting fields in computer science today. In this article, we will take a look at the five best yet free books to learn machine learning in 2023.

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Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

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5 Things you didn’t know about Buck2

Engineering at Meta

Meta has a very large monorepo, with many different programming languages. To optimize build and performance, we developed our own build system called Buck , which was first open-sourced in 2013. Buck2 is the recently open-sourced successor. In our internal tests at Meta, we observed that Buck2 completed builds approximately 2x as fast as Buck1. Below are five interesting facts you might not have known about Buck2.

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Learn How to Build Airtight Data Pipelines for your AI Initiatives

databricks

"I can't think of anything that's been more powerful since the desktop computer." — Michael Carbin, Associate Professor, MIT, and Founding Advisor, MosaicML A.

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nixtract 0.1.0

Tweag

Tweag is excited to announce the first release of nixtract 0.1.0 ! This is our first step towards a broader effort to make Nix the best tool to tackle tomorrow’s challenges of the Software Supply Chain. In order to understand why we need nixtract , let me tell you about the “secret” value of Nixpkgs. Is it a bird? A plane? It’s a graph! The Nix language allows you to define the “recipe” to build anything into a package, like the sources and the steps to make the package, but also the dependencie

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KDnuggets News, October 27: 5 Free Books to Master Data Science • 7 Steps to Mastering LLMs

KDnuggets

This week on KDnuggets: Go from learning what large language models are to building and deploying LLM apps in 7 steps • Check this list of free books for learning Python, statistics, linear algebra, machine learning and deep learning • And much, much more!

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Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

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Werner Gains Advanced Geospatial Capabilities with Snowflake and CARTO

Snowflake

Founded nearly 70 years ago, Werner Enterprises is a North American transportation and logistics leader that operates a fleet of almost 8,300 trucks and 30,000 trailers out of 16 terminals across the United States. The company generates a massive amount of data on the constantly changing, real-time location of each of its assets. Collecting and analyzing this geospatial data is vital for smart decision-making.

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Date and DateTime Manipulation in Polars

Confessions of a Data Guy

One thing all Data Engineers are doomed to do in purgatory will be to solve different date and datetime problems in an endless loop. I’m sure of it. I can’t imagine anything worse, so that must be it. Either way the constant need to manipulate dates and datetimes are just a way of life, something […] The post Date and DateTime Manipulation in Polars appeared first on Confessions of a Data Guy.

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Makeathon 2023

Pinterest Engineering

Each year, we host Makeathon, our annual internal version of a hackathon, where employees from across the business collaborate for three days to bring their dream passion projects to life. The ideas they pitch have a goal to improve our product, culture, internal processes or a combination of the three. This year, Makeathon was hosted from August 7–August 11.

Medical 111
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10 Basic Statistical Concepts in Plain English

KDnuggets

Explore 10 foundational statistical concepts made simple, from probability distributions to the central limit theorem, for better data understanding.

Data 138
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How to Modernize Manufacturing Without Losing Control

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

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3 Questions Marketers Should Ask When Evaluating AI Solutions

Snowflake

AI. It’s on everyone’s mind—and marketers are no exception. You’ve likely heard about it from co-workers, vendors and peers, and if you had a nickel for every AI mention you heard … well, you get the point. With the release of ChatGPT late last year, OpenAI supercharged the conversation around large language models (LLMs), marking 2023 as “the year of AI.

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Master Data Management: Common Misconceptions You Should Know

Precisely

When most people think of master data management, they first think of customers and products. This is logical, as the core mission of any company is to develop products and services, find the right customers, and consistently deliver excellence. But master data encompasses so much more than data about customers and products. It includes information about suppliers, employees, and target prospects.

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How Lakehouse AI improves model accuracy with real-time computations

databricks

The predictive quality of a machine learning model is a direct reflection of the quality of data used to train and serve the.

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7 Steps to Mastering Data Wrangling with Pandas and Python

KDnuggets

Starting out on your data journey? Here’s a 7-step learning path to master data wrangling with pandas.

Python 136
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The Ultimate Guide to Apache Airflow DAGS

With Airflow being the open-source standard for workflow orchestration, knowing how to write Airflow DAGs has become an essential skill for every data engineer. This eBook provides a comprehensive overview of DAG writing features with plenty of example code. You’ll learn how to: Understand the building blocks DAGs, combine them in complex pipelines, and schedule your DAG to run exactly when you want it to Write DAGs that adapt to your data at runtime and set up alerts and notifications Scale you

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How Healthcare and Life Sciences Can Unlock the Potential of Generative AI

Snowflake

A patient interaction turned into clinician notes in seconds, increasing patient engagement and clinical efficiency. Novel compounds designed with desired properties, accelerating drug discovery. Realistic synthetic data created at scale, expediting research in rare under-addressed disease areas. These are just a few examples of how generative AI and large language models (LLMs) are transforming the healthcare and life sciences (HCLS) industry.

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10 Biggest Cybersecurity Trends in 2023

Knowledge Hut

Cybersecurity is a method of safeguarding networks and devices from external attacks. The cybersecurity trend shows a growing emphasis on protection, leading to an increased need for Cyber Security specialists. They are hired by businesses to secure secret information, preserve staff productivity, and boost customer trust in products and services. Cyber security is governed by the industry standard of confidentiality, integrity, and availability, or CIA.

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How Providence Health Built a Model marketplace using Databricks?

databricks

Providence's MLOps Platform Providence is a healthcare organization with 120,000 caregivers serving over 50 hospitals and 1,000 clinics across seven states. Providence is.

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The Top 5 Cloud Machine Learning Platforms & Tools

KDnuggets

What are the top 5 cloud machine learning platforms in the market today. Our list will help provide some vital insights into which platform might best cater to your specific machine learning needs. See what KDnuggets recommends.

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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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ThoughtSpot announces our 2023 Partner Award winners

ThoughtSpot

To our entire partner ecosystem, I want to personally thank each of you for your incredible contributions over the past year. Our partners play a vital role in driving ThoughtSpot’s mission of becoming a more fact-driven world. Together, we help organizations leverage AI and natural language search to discover insights and make data-driven decisions for their businesses.

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Optimizing Personalization Gives Telecoms The Competitive Edge They Need To Win

Snowflake

In today’s tough market, telecommunications companies are feeling the pinch. The telecom industry has undergone enormous change in the last few years. Rapid advances in technology such as the emergence of 5G Wi-Fi, the expansion of fixed wireless access and satellite services and the explosion of IoT devices have put increased pressure on aging legacy equipment, systems and communication networks.

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Announcing GA of Predictive I/O for Updates: Faster DML Queries, Right Out of the Box

databricks

Announcing GA of Predictive I/O for Updates, which harnesses Photon and AI atop Deletion Vectors in order to significantly speed up MERGE, UPDATE and DELETE operations.

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How Predictive Analytics is Revolutionizing Decision-Making in Tech

KDnuggets

Learn how predictive analytics work in a business environment.

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m