Wed.Jun 28, 2023

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Exploring Graphs in Rust. Yikes.

Confessions of a Data Guy

I’ve been a dog licking my wounds for some time now. Over on my Substack newsletter, I’ve been doing a small series on DSA (Data Structures and Algorithms). I tackled some of the easier stuff first, like Linked Lists, Binary Search, and the like. What’s more, I actually did most of it in Rust, since […] The post Exploring Graphs in Rust.

Algorithm 130
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Building Real-time Machine Learning Foundations at Lyft

Lyft Engineering

Written by Konstantin Gizdarski and Martin Liu at Lyft. In early 2022, Lyft already had a comprehensive Machine Learning Platform called LyftLearn composed of model serving , training , CI/CD, feature serving , and model monitoring systems. On the real-time front, LyftLearn supported real-time inference and input feature validation. However, streaming data was not supported as a first-class citizen across many of the platform’s systems — such as training, complex monitoring, and others.

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What Is an Event in the Apache Kafka Ecosystem?

Confluent

Get an introduction into the world of events and event-driven architecture in Apache Kafka. Learn what events are and the role they play in event design, event streaming, and event-driven design.

Kafka 109
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AI Chrome Extensions for Data Scientists Cheat Sheet

KDnuggets

KDnuggets' latest cheat sheet presents you with an impressive array of advanced tools and resources designed to support your data science game. They cover a wide range of applications, from understanding complex scientific literature to writing high-quality manuscripts and more.

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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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Data Pipeline Observability: A Model For Data Engineers

Databand.ai

Data Pipeline Observability: A Model For Data Engineers Eitan Chazbani June 29, 2023 Data pipeline observability is your ability to monitor and understand the state of a data pipeline at any time. Specifically, observability provides insights into the pipeline’s internal states and how they interact with the system’s outputs. We believe the world’s data pipelines need better data observability.

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KDnuggets News, June 28: 10 ChatGPT Plugins for Data Science Cheat Sheet • The ChatGPT Plugin That Automates Data Analysis

KDnuggets

10 ChatGPT Plugins for Data Science 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?

More Trending

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Career stories: The power of an impactful mentor

LinkedIn Engineering

Initially a Chicago-based data analyst, Jelanah had her heart set on a more meaningful career in frontend (UI) engineering. She chronicles for us how a life-changing engineering mentor at LinkedIn unlocked her frontend technical skills, supported a relocation to Atlanta, and championed a promotion to software engineer. Finding the right fit at LinkedIn After I graduated from college with an interdisciplinary marketing, math and computer science degree, I wanted to find a role that combined my in

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Announcing Delta Lake 3.0 with New Universal Format and Liquid Clustering

databricks

We are excited to announce Delta Lake 3.0, the next major release of the Linux Foundation open source Delta Lake Project, available in.

Project 94
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Confluent Wins the 2023 Microsoft Commercial Marketplace Partner of the Year Award

Confluent

Our OSS on Azure Partner of the Year Award highlights Confluent's data streaming solution, cloud Apache Kafka, and fully integrated Azure security, management, billing, and data analytics.

Kafka 62
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How Datavant and Databricks are Transforming Life Sciences with Data Sharing

databricks

Data is the lifeblood of healthcare Data is at the center of advancing medical breakthroughs and improving patient outcomes across healthcare and life.

Medical 72
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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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Data Science Project of Rotten Tomatoes Movie Rating Prediction: First Approach

KDnuggets

Predicting Movie Status Based on Numerical and Categorical Features.

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What’s New in Data Engineering and Streaming at Data + AI Summit 2023

databricks

It's Thursday and we are fresh off a week of announcements from the 2023 Data + AI Summit. The theme of this year's.

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Snowflake Expands Programmability to Bolster Support for AI/ML and Streaming Pipeline Development

Snowflake

At Snowflake, we’re helping data scientists, data engineers, and application developers build faster and more efficiently in the Data Cloud. That’s why at our annual user conference, Snowflake Summit 2023 , we unveiled new features that further extend data programmability in Snowflake for their language of choice, without having to compromise on governance.

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Announcing the Winners for the 2023 Databricks Data Team Awards

databricks

The annual Data Team Awards showcase how different data teams from across the globe are delivering solutions to some of the world’s toughest p.

Data 71
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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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Hands on example of ChatGPT as a programming tool by Jon Harris

Scott Logic

In this blog post, I put ChatGPT 3.5 through its paces by getting it to help me create a small project, namely a reverse proxy server: a locally running server that will fetch web pages and re-render them for me. The post is split into two parts. In the first part I get the reverse proxy server up and running. In the second part we’ll use this starting point to try and do something more interesting: parsing out the human readable text from the html pages being proxied.

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Business Intelligence Analyst Jobs

Knowledge Hut

Experience the power of Business Intelligence, a tech-driven methodology to gather, analyze, and present business data. This process helps showcase data in a user-friendly way with the help of reports, charts, or graphs. This user-friendly approach toward data presentation makes data mining and analysis operations quite convenient. That is why companies hire business intelligence analysts who can provide valuable insights, enabling teams to make informed decisions conveniently.

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Snowflake Invests in Cart.com, Expanding Data Capabilities for Brands

Snowflake

Modern Brands need to leverage the full power of data to grow their business and outpace the competition, but they also need to focus on their core mission and avoid the distraction of managing complex technical infrastructure. That’s why Cart.com is so valuable: the company provides software, services, and fulfillment infrastructure to ecommerce brands and retailers with a technology platform that delivers the end-to-end insights they need to accelerate their entire business, all from a central

Retail 52
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Business Intelligence vs. Data Mining: A Comparison

Knowledge Hut

In our data-driven world, our lives are governed by big data. The TV shows we watch, the social media we follow, the news we read, and even the optimized routes we take to work are all influenced by the power of big data analytics. Consumers have become accustomed to personalized marketing campaigns and expect to regularly encounter new features and products that specifically cater to their preferences.

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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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ETL in Finance- Top 3 Challenges and Practical Solutions for

Hevo

Your data team might be pushing themselves so hard for building financial forecasts and formulate strategies. Millions of your ETL finance data are being processed and analyzed. A pat on the back for your team’s efforts! But, are they able to provide financial reports to other teams as and when required?

Finance 52
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How to Become a Business Intelligence Analyst [Updated Career Path]

Knowledge Hut

Do you ever wonder how Spotify and Netflix can anticipate your listening and viewing preferences before you even realize it? The work of business intelligence analysts holds the key to such a solution. These experts are essential in today's data-driven world for assisting businesses in making wise decisions and remaining competitive. Read on to learn more about how to become a business intelligence analyst and what this career path encompasses if you want to work in business intelligence.

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Benefits of Data Analytics in the Retail Industry

Hevo

In the highly competitive landscape of the retail industry, data is the only thing that can help stakeholders make crucial business decisions. The exponential growth of technology has granted retailers access to a wealth of information, known as Big Data, enabling them to make data-driven decisions.

Retail 52
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Project Transition Planning: Process, Checklist, Tools

Knowledge Hut

In business terms, change is more crucial. As new competitors arise, the need for transition becomes indispensable. This is precisely where transition planning comes into play. It is not merely a few steps that you can follow to achieve the perfect transition. Transition planning helps ensure a seamless project journey from one phase to the next. Teaming up with meticulous foresight and strategic decision-making, one can transform uncertainty into a fantastic opportunity.

Process 52
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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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Precisely Women in Technology: Meet Samantha Meurs

Precisely

With an increasing number of women joining IT, it’s becoming a more inclusive environment. Precisely is committed to building a more inclusive work environment, which is why there are ample opportunities for women in the organization. One of the company’s initiatives is the Precisely Women in Technology (PWIT) program, that was established to be a place for women to come together, support each other, offer guidance, and more.

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Project Closure Process: A Complete Guide (Checklist Included)

Knowledge Hut

There is a whole extensive phase in the project management lifecycle that deals with the project closure. The project closure process involves systematically wrapping up all project activities, delivering the final product or service, and formally closing the project. You can also refer to it as a plan that wraps everything celebrates achievements, and ensures a seamless transition from one project to another.

Project 52
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Superset Community Newsletter! - June, 2023

Preset

Welcome to the Superset Community Monthly Newsletter

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What is Project Baseline and Why is it Important?

Knowledge Hut

A project baseline is a reference point or benchmark all project managers set to compare progress with the plan, adapt to changes, and monitor project performance. This is done via some crucial aspects concerning with the project’s scope, schedule, cost, quality, risk, and performance. Clearly, project baselines play a critical role in the success of every project as they envelop every factor that affects the project and keeps it on track, finishing it on time and within budget.

Project 52
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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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Celebrating Pride Month

Robinhood

Robinhood was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood is lowering barriers and providing greater access to financial information and investing. Together, we are building products and services that help create a financial system everyone can participate in. … Pride Month is a celebration of LGBTQ+ (Lesbian, Gay, Bisexual, Transgender, Queer, and others) culture and commemorates the Stonewall riots th

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Snowpark Offers Expanded Capabilities Including Fully Managed Containers, Native ML APIs, New Python Versions, External Access, Enhanced DevOps and More

Snowflake

Since its launch two years ago, Snowpark has been empowering data scientists, data engineers, and application developers to streamline their architectures, accelerate development, and boost the performance of data engineering and ML/AI workloads on Snowflake. At this year’s Summit, we are excited to announce a series of advancements to Snowpark runtimes and libraries, making the deployment and processing of non-SQL code in Snowflake even simpler, faster, and more secure.

Python 52
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Riptide HTTP Client tutorial

Zalando Engineering

Overview Riptide is a Zalando open source Java HTTP client that implements declarative client-side response routing. It allows dispatching HTTP responses very easily to different handler methods based on various characteristics of the response, including status code, status family, and content type. The way this works is similar to server-side request routing, where any request that reaches a web application is usually routed to the correct handler based on the combination of URI (including quer

Java 86
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Packaging Topiary in OPAM

Tweag

Introduction On the 9th of March in the year 2023 or our era, Topiary was born or, at least, its version 0.1.0 was released. Thus began the quest to package it, to make it available in various ecosystems. Topiary is a universal formatter engine written in Rust and packaged with Cargo. Packaging it in nixpkgs was a breeze because of nixpkgs’ support for Rust, but mostly because someone else did it for us , for which we have to thank our contributor figsoda.

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How to Leverage AI for Actionable Insights in BI, Data, and Analytics

In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your application’s analytics capabilities? Imagine having an AI tool that answers your user’s questions with a deep understanding of the context in their business and applications, nuances of their industry, and unique challenges they face.