Sat.Dec 30, 2023 - Fri.Jan 05, 2024

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7 Great Embedded Analytics Solutions – Which Embedded Analytics Solutions Should You Use?

Seattle Data Guy

Big data is big business these days. Organizations that hope to get ahead in crowded markets must utilize data from a variety of often highly disparate sources to understand how they’re performing and what customers are saying about them. However, data without the right analysis and reporting tools is just a waste of digital storage… Read more The post 7 Great Embedded Analytics Solutions – Which Embedded Analytics Solutions Should You Use?

Big Data 130
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Prompt Engineering 101: Mastering Effective LLM Communication

KDnuggets

This article serves as an introduction to those looking to understanding what prompt engineering is, and to learn more about some of the most important techniques currently used in the discipline.

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LLM Training and Inference with Intel(R) Gaudi(R) 2 AI Accelerators

databricks

At Databricks, we want to help our customers build and deploy generative AI applications on their own data without sacrificing data privacy or.

Building 145
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Stream processing models

Waitingforcode

If you're interested in stream processing, I bet your thinking is technology-based. It's not wrong, after all, the ability to use a tool gives you and me a job. However, for a long-term consideration it's better to reason in terms of patterns or models. Being aware of a more general vision helps assimilate new tools.

Process 130
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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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Cutting Your Data Stack Costs: How To Approach It And Common Issues

Seattle Data Guy

I once had an engineer tell me that they essentially didn’t want to consider cost as they were building a solution. I was baffled. Don’t get me wrong, yes, when you’re building, you iterate and aim to improve your solutions cost. But from my perspective, I don’t think completely ignoring costs from day one is… Read more The post Cutting Your Data Stack Costs: How To Approach It And Common Issues appeared first on Seattle Data Guy.

IT 130
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Enroll in a 4-year Computer Science Degree Program For Free

KDnuggets

Enroll in the free OSSU Computer Science degree program and launch your career in tech today. Learn from high-quality courses from professors from leading universities like MIT, Harvard, and Princeton.

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2023 retrospective on waitingforcode.com

Waitingforcode

This is one of my favorite blog posts, the yearly retrospective. Every year I summarize what happened in the past 12 months and share with you my future plans. It's time for the 2023 Edition!

IT 130
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Designing Data Platforms For Fintech Companies

Data Engineering Podcast

Summary Working with financial data requires a high degree of rigor due to the numerous regulations and the risks involved in security breaches. In this episode Andrey Korchack, CTO of fintech startup Monite, discusses the complexities of designing and implementing a data platform in that sector. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex.

Designing 130
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Using Lightning AI Studio For Free

KDnuggets

Use Lightning AI Cloud IDE for free to experiment, train, and deploy your AI models.

Cloud 145
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Parameterized queries with PySpark

databricks

PySpark has always provided wonderful SQL and Python APIs for querying data. As of Databricks Runtime 12.1 and Apache Spark 3.4, parameterized queries.

SQL 126
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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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Cybersyn Puts Detailed Data Sets at Decision-Makers’ Fingertips With Snowflake Native Apps

Snowflake

Your company collects huge amounts of data about everything from customer transactions to supplier contracts to system performance. This valuable resource becomes even more valuable when you combine it with data about financial market and economic trends, consumer spending, regional demographics and other elements that provide broader context and insights for your business decisions.

SQL 124
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Cloud-Based Aboveground Biomass Mapping using Landsat and GEDI Data

ArcGIS

Process Landsat and GEDI datasets in the cloud and predict aboveground biomass for the state of Oregon using machine learning in ArcGIS Pro.

Cloud 113
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What Junior ML Engineers Actually Need to Know to Get Hired?

KDnuggets

This article will provided you with a better understanding of what skills are required for a junior ML developer to be considered for a job. If you are looking to land your first job, you should read this article thoroughly.

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Architecting Global Data Collaboration with Delta Sharing

databricks

In today's interconnected digital landscape, data sharing and collaboration across organizations and platforms are crucial for modern business operations. Delta Sharing, an innovative.

Data 115
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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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Approaching Generative AI With Eyes Wide Open 

Snowflake

Generative AI and large language models (LLMs) have been the overriding topic over the past year and a half, especially in the tech industry. Just look at the rise of ChatGPT, which saw about 100 million active monthly users in its first two months (in comparison, wildly popular Instagram took more than two years to hit that level). As gen AI centered itself in into nearly all our conversations, people have started thinking more and more about the possible implications of this technology—both po

Medical 116
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A pair of sample tools to add or remove attachments by selection

ArcGIS

Learn more about quickly adding or removing attachments with selected features in an active map.

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Data Cleaning in SQL: How To Prepare Messy Data for Analysis

KDnuggets

Want to clean your messy data so you can start analyzing it with SQL? Learn how to handle missing values, duplicate records, outliers, and much more.

SQL 139
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Cash Flow Sensitivity and Scenarios

FreshBI

Amidst the ebb and flow of revenues, expenditures, and accounts receivable/payable, accurately predicting and managing cash flow remains a significant challenge for businesses of all scales. Let’s make it dynamic and easy with Power BI. Sensitivity and Scenario Analysis 1) What is sensitivity analysis? Sensitivity analysis within cash flow management involves assessing how changes in specific variables impact the overall cash position.

BI 105
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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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Data News — December 2023

Christophe Blefari

Hi, it's been a while since I last posted something here. Happy new year 🎉 I hope you haven't forgotten about me. A lot of things have been happening at the same time in my professional and personal life. To be honest, everything's been going well, but I've found it hard to find time to write among other things. And that's the problem.

Data 100
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Methods for generating synthetic descriptive data

Towards Data Science

Use various data source types to quickly generate text data for artificial datasets.

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Level 50 Data Scientist: Python Libraries to Know

KDnuggets

This article will help you understand the different tools of Data Science used by experts for Data Visualization, Model Building, and Data Manipulation.

Python 138
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Future of Robotics: All You Need to Know in 2024

Knowledge Hut

We might picture sci-fi-inspired, humanoid automatons when we think about robots. Numerous types of robots are in use today, even though these particular ones are still largely imagined. However, what are robots? How will they alter the world, exactly? The future of robotics might be conducting operations from halfway across the world and visiting extra-terrestrial worlds in 2030.

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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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Building Pinterest’s new wide column database using RocksDB

Pinterest Engineering

Rajath Prasad, Senior Engineering Manager Pinterest serves more than 480M monthly users and has grown to be a global destination for visual inspiration. As Pinterest has grown, so have our storage requirements. In 2020, anticipating the growing needs of the business and to simplify our storage offerings, we decided to consolidate our different key-value systems in the company into a single unified service called KVStore.

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Data Science Better Practices, Part 2?—?Work Together

Towards Data Science

Data Science Better Practices, Part 2 — Work Together You can’t just throw more data scientists at this model and expect the accuracy to magically increase. Photo by Joseph Ruwa: [link] (Part 1 is here) Not all data science projects were created equal. The vast majority of data science projects I’ve seen and built were born as a throw-away proof-of-concept.

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Run an LLM Locally with LM Studio

KDnuggets

Ever wanted to run an LLM on your computer? You can do so now, with the free and powerful LM studio.

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Effective Communication: Definition, 7 Steps, Examples

Knowledge Hut

Communication is an inseparable aspect of daily life and we cannot live without communicating with anyone. Communication can take place in both ways; either in-person communication or communication through various social media platforms. However, effective communication is something that you need to know for various business purposes. As we communicate with innumerable people daily, we do not know what is the percentage of communication and how well it reaches the desired audience.

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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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Manage the State of a Complex Application by Integrating Redux with React

Workfall

Reading Time: 9 minutes Navigating the complexities of state management is pivotal for controlling an application’s data, user interactions, and overall behavior. In this blog, we will explore step-by-step implementation of how to seamlessly manage state across multiple components by integrating Redux with React. Let’s start! In this blog, we will cover: What is State Management?

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Create Image Cubes from STAC-Enabled Datasets using ArcGIS

ArcGIS

Learn how to create cloud free image cubes from imagery in the cloud using STAC

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Too Many Python Versions to Manage? Pyenv to the Rescue

KDnuggets

Looking for a painless way to manage multiple Python versions? Pyenv is all you need.

Python 136
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Google Software Engineer Levels: Roles, Factors, And Pay

Knowledge Hut

With an exponential upsurge in the world's most profitable inventions, there is a massive requirement for a workforce of qualified and professional software engineers. Furthermore, with innovative and intuitive products like GSuite, Gmail, and Google Search, Google is everywhere. Hence, many engineering graduates aspire to work for Google after upskilling by enrolling in the Programming courses offered by KnowledgeHut.

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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