Sat.Jul 29, 2023 - Fri.Aug 04, 2023

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Google Shutting down Firebase Dynamic Links

The Pragmatic Engineer

👋 Hi, this is Gergely with a free issue of the Pragmatic Engineer Newsletter. We cover one out of five topics in today’s subscriber-only The Pulse issue. If you’re not yet a full subscriber, you missed this week’s deepdive: The 2023 tech market, as seen by hiring managers. To get full newsletters twice a week, subscribe here.

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Data Warehouses Vs Operational Data Stores Vs Data Lakes – How To Store Your Data For Analytics

Seattle Data Guy

A few months ago, I uploaded a video where I discussed data warehouses, data lakes, and transactional databases. However, the world of data management is evolving rapidly, especially with the resurgence of AI and machine learning. There are numerous other methods that technical teams are utilizing to handle their data effectively. In this presentation, I… Read more The post Data Warehouses Vs Operational Data Stores Vs Data Lakes – How To Store Your Data For Analytics appeared first

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The first state in Apache Spark Structured Streaming arbitrary stateful processing

Waitingforcode

When you wrote your first arbitrary stateful processing pipelines, the state expiration is maybe the first tricky point you had to deal with. Why is that? After all, it's just about setting the timeout, doesn't it? Most of the time, yes, but there is an exception.

Process 130
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Introduction to AWS Lambda (deployment)

Confessions of a Data Guy

The post Introduction to AWS Lambda (deployment) appeared first on Confessions of a Data Guy.

AWS 130
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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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Multivariate Time-Series Prediction with BQML

KDnuggets

Google's BQML can be used to make time series models, and recently it was updated to create multivariate time series models. With the simple code, this article shows how to use it to predict multivariate time series and it can be more powerful than a univariate time series model in this article.

Coding 107
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A step-by-step guide to build an Effective Data Quality Strategy from scratch

Towards Data Science

A Step-by-Step Guide to Building an Effective Data Quality Strategy from Scratch How to build an interpretable data quality framework based on user expectations Photo by Rémi Müller on Unsplash As data engineers, we are (or should be) responsible for the quality of the data we provide. This is nothing new, but every time I join a data project I ask myself the same questions: When should I start working on data quality?

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Introduction to Delta Lake

Confessions of a Data Guy

The post Introduction to Delta Lake appeared first on Confessions of a Data Guy.

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Modern Overview of the MIT CDOIQ Symposium

The Modern Data Company

Modern Announces Partnership with Data Mesh Pioneers, ThoughtWorks In July, we collaborated with ThoughtWorks at the annual CDOIQ Conference in Cambridge, MA to discuss real-world Data Products implementation and best practices for Data Mesh. The data community, especially CDOs, emphasized the importance of raising awareness and gaining clarity about data products.

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7 Steps to Mastering Data Cleaning and Preprocessing Techniques

KDnuggets

Are you trying to solve your first data science project? This tutorial will help you to guide you step by step to prepare your dataset before applying the machine learning model.

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Forging a Data Strategy for Success in Uncertain Times

Precisely

The results are in! The 2023 Data Integrity Trends and Insights Report , published in partnership between Precisely and Drexel University’s LeBow College of Business, delivers groundbreaking insights into the importance of trusted data. For the report, more than 450 data and analytics professionals worldwide were surveyed about the state of their data programs.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Announcing Databricks Belgrade Development Center

databricks

We are thrilled to announce the opening of Databricks’ latest development center in Belgrade, Serbia. This addition joins our existing R&D centers in A.

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How DoorDash Migrated from StatsD to Prometheus

DoorDash Engineering

Accurate and reliable observability is essential when supporting a large distributed service, but this is only possible if your tools are equally scalable. Unfortunately, this was a challenge at DoorDash because of peak traffic failures while using our legacy metrics infrastructure based on StatsD. Just when we most needed observability data, the system would leave us in the lurch.

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Keras 3.0: Everything You Need To Know

KDnuggets

Unlock the power of AI collaboration with Keras 3.0! Seamlessly switch between TensorFlow, JAX, and PyTorch, revolutionizing your deep learning projects. Read now and stay ahead in the world of AI.

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Exploring the ArcGIS Utility Network Trace Framework

ArcGIS

A guided discussion on the capabilities of the tracing framework of the Utility Network and how it can be used to answer questions.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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Introducing Databricks Assistant, a context-aware AI assistant

databricks

Today, we are excited to announce the public preview of Databricks Assistant, a context-aware AI assistant, available natively in Databricks Notebooks, SQL editor.

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Create the engineering career you love at Pinterest

Pinterest Engineering

An interview with Behnam Rezaei | Pinterest VP, Engineering At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love. For our employees, this extends further to creating the life and career they love. The Pinterest Engineering Blog team sat down with Behnam Rezaei to get an inside scoop into the Monetization Engineering team, what makes Pinterest different and why now is a great time to join our team.

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KDnuggets News, August 2: ChatGPT Code Interpreter: Fast Data Science • Can’t Keep Up? Catch up on This Week in AI

KDnuggets

ChatGPT Code Interpreter: Do Data Science in Minutes • This Week in AI • Introduction to Statistical Learning, Python Edition: Free Book • 8 Programming Languages For Data Science to Learn in 2023 • Mastering GPUs: A Beginner's Guide to GPU-Accelerated DataFrames in Python

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Robinhood Reports Second Quarter 2023 Results

Robinhood

Robinhood Markets, Inc. (Nasdaq: HOOD) today reported financial results for the quarter ended June 30, 2023. Read our Q2 earnings press release here. Access more information at investors.robinhood.com. The post Robinhood Reports Second Quarter 2023 Results appeared first on Robinhood Newsroom.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Smooth Sailing Ahead

databricks

The Databricks Container Infra team builds cloud-agnostic infrastructure and tooling for building, storing and distributing container images. Recently, the team worked on scaling.

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How to Get the User’s Location Using Mapbox?

Workfall

Reading Time: 9 minutes Obtaining a user’s location is a critical requirement for many modern web applications, such as location-based services, personalized content delivery, and targeted marketing. However, without proper guidance and understanding of HTML and JavaScript geolocation techniques, developers often face challenges in implementing this feature effectively.

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Mastering Regular Expressions with Python

KDnuggets

This article dives deep into the world of regular expressions with Python, providing a comprehensive guide for anyone looking to master this complex yet powerful tool, with detailed explanations and code examples.

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Announcing Our LinkedIn-Cornell 2023 Grant Recipients

LinkedIn Engineering

​LinkedIn and Cornell Ann S. Bowers College of Computing and Information Science (Bowers CIS) embarked on a partnership , bringing together our collective research power to make technological advances that will further our goal to connect professionals with opportunities at scale. Through this partnership, we support Ph.D. students and faculty members on their research in areas in Computer Science, AI, Information Science including Diversity and Equity.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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Databricks and Technology Partners: Personalized Medicine with a Tailored Approach

databricks

In the ever-evolving realm of healthcare, two powerful trends have emerged: The rise of personalized medicine and the increasing emphasis on patient involvement.

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#ClouderaLife Employee Spotlight: Shallan Miller

Cloudera

In this Employee Spotlight, we sat down with Shallan Miller and talked about all things event marketing, her path back to this role after the Covid-19 pandemic and her perspective on the importance of cultivating resilience, communication skills, and keeping an open mind. Meet Shallan Miller Shallan is a Senior Marketing Events Manager at Cloudera.

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I Created An AI App In 3 Days

KDnuggets

After being impressed by ChatGPT, I created an innovative AI cover letter generator that matches user skills to job requirements to automate customized and relevant application letters.

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Career Stories: Building community and connections

LinkedIn Engineering

As Keerthana explored her passion for iOS engineering, she also found mentorship and new working styles. But the community she’s discovered as she began connecting and nurturing the next generation of female engineers has truly been the most rewarding part of her LinkedIn journey. Launching a career in iOS engineering My career started with an unexpected but exciting role as an iOS product solution engineer at an e-commerce company in Bangalore.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Protecting Your Compute Resources From Bitcoin Miners With a Data Lakehouse

databricks

As cryptocurrencies, particularly Bitcoin, have grown in popularity, so has the phenomenon of Bitcoin mining. While normal mining operations are critical for blockchain.

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How to import contingent values into a feature class

ArcGIS

This workflow shows how to use the Import and Export Contingent Values tools to quickly generate contingent values from existing data.

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KDnuggets Top Posts for June 2023: GPT4All is the Local ChatGPT for your Documents and it is Free!

KDnuggets

GPT4All is the Local ChatGPT for your Documents and it is Free! • Falcon LLM: The New King of Open-Source LLMs • 10 ChatGPT Plugins for Data Science Cheat Sheet • ChatGPT for Data Science Interview Cheat Sheet • Noteable Plugin: The ChatGPT Plugin That Automates Data Analysis • 3 Ways to Access Claude AI for Free • What are Vector Databases and Why Are They Important for LLMs?

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Beyond the Hype: WebAssembly – from the browser to beyond by Colin Eberhardt

Scott Logic

In this episode, I’m joined by Bailey Hayes from Cosmonic and Sean Isom from Adobe – between them, they have a wealth of WebAssembly experience and insights. We start by discussing the early days of WebAssembly, and where it all began, in the browser. We debate the infamous tweet that compares WebAssembly to Docker, and look at the future promise of the Component Model, which aims to break down language barriers.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.