Thu.Jun 08, 2023

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Should you optimize for all-cash compensation, if possible?

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 high-growth startups through the lens of engineering managers and senior engineers. In this article, we cover one out of four topics from today’s subscriber-only The Scoop issue. If you’re not a full subscriber yet, you missed this week’s deep-dive on Shopify’s leveling split.

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4 Ways To Setup Your Data Engineering Game.

Confessions of a Data Guy

One of my greatest pleasures in life is watching the r/dataengineering Reddit board, I find it very entertaining and enlightening on many levels. It gives a fairly unique view into the wide range of Data Engineering companies, jobs, projects people are working on, tech stacks, and problems that are being faced. One thing I’ve come […] The post 4 Ways To Setup Your Data Engineering Game. appeared first on Confessions of a Data Guy.

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AI: Large Language & Visual Models

KDnuggets

This article discusses the significance of large language and visual models in AI, their capabilities, potential synergies, challenges such as data bias, ethical considerations, and their impact on the market, highlighting their potential for advancing the field of artificial intelligence.

Data 158
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GPT-4 + Streaming Data = Real-Time Generative AI

Confluent

ChatGPT and data streaming can work together for any company. Learn a basic framework for using GPT-4 and streaming to build a real-world production application.

Data 145
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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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Lyft Expands Team to Czechia

Lyft Engineering

Introducing Lyft Engineering: Hello Czechia! Ahoj! Lyft is opening offices in Czechia ?? and hiring for full-time positions on end-to-end product, science, and engineering teams. We’re looking for driven engineers to fortify our European operations and solve some of the hardest problems in building large distributed systems to support rideshare, mapping, and more.

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GPT4All is the Local ChatGPT for your Documents and it is Free!

KDnuggets

How to install GPT4All on your Laptop and ask AI about your own domain knowledge (your documents)… and it runs on CPU only!

IT 108

More Trending

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Mastering the Art of Data Storytelling: A Guide for Data Scientists

KDnuggets

How to dazzle others with your cool data science insights by mastering the art of data storytelling.

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Welcome to The Robinhood Newsroom

Robinhood

Stay up-to-date on the latest company news and blog content The Robinhood Newsroom is now live. The Under the Hood blog site and Robinhood content on the Medium site will now redirect people to the Robinhood Newsroom where they can find the latest company news and blog content. By consolidating content from various places, we hope to make it easier to stay up-to-date on the latest developments here at Robinhood.

IT 65
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Celebrating Pride 2023 at Confluent

Confluent

In honor of Pride Month, in this blog post, we talk about how inclusive Confluent culture is and highlight the experiences of some of our queer employees.

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DEW #131: dbt model contract, Instacart ads modularization in LakeHouse Architecture, Jira to automate Glue tables, Server-Side Tracking

Data Engineering Weekly

Welcome to another episode of Data Engineering Weekly. Aswin and I select 3 to 4 articles from each edition of Data Engineering Weekly and discuss them from the author’s and our perspectives. On DEW #131, we selected the following article Ramon Marrero: DBT Model Contracts - Importance and Pitfalls dbt introduces model contract with 1.5 release.

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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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Unlocking Data Access: Harnessing Triggers in the Absence of API Endpoints

Towards Data Science

Fill in the missing pieces of your data puzzle using triggers Continue reading on Towards Data Science »

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Observability in Your Data Pipeline: A Practical Guide

Databand.ai

Observability in Your Data Pipeline: A Practical Guide Eitan Chazbani June 8, 2023 Achieving observability for data pipelines means that data engineers can monitor, analyze, and comprehend their data pipeline’s behavior. By implementing an observability pipeline, which typically consists of multiple technologies and processes, organizations can gain insights into data pipeline performance, including metrics, errors, and resource usage.

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Identifying Green Vehicles for a Zero-Emission Future

Uber Engineering

Uber will be a zero-emission platform by 2040 and we’re building tech to pave the way toward a sustainable future. Discover how Uber’s Green Vehicle Identification system is powering low-emission ride options, reducing carbon emissions, and unlocking earning potential for drivers.

Systems 52
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Spatial Statistics at the 2023 Esri User Conference

ArcGIS

Learn about Spatial Statistics events and workshops at the 2023 Esri User Conference.

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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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Essential Angular Developer Skills to Learn in 2023

Knowledge Hut

Are you currently working in the IT industry or studying computer science with aspirations of becoming a skilled developer? Building quality software requires specific techniques and skills. In this article, we will explore the essential skills required for angular developers to create high-quality applications. Angular is a popular front-end web development framework that has gained significant popularity in recent years.

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Are You Data Economy Ready? Start with Data Product Thinking

Snowflake

In today’s business environment, it’s survival of the fittest. Expectations from customers and business partners have changed, making modernization even more critical. Yet change is notoriously difficult. As companies strive to be data-driven, they recognize that the transformation requires a new way of operating. It’s not enough to paint racing stripes on a VW Beetle to make it faster and more efficient.

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When Real-Time Matters: Rockset Delivers 70ms Data Latency at 20MB/s Streaming Ingest

Rockset

Streaming data adoption continues to accelerate - over 80% of Fortune 100 companies already use Apache Kafka - driven by organizations creating value by putting data to use in real time. Much of this streaming data will land in real-time analytics databases as event streams. At Rockset, we’re seeing an obvious trend towards latency-sensitive use cases like fraud detection for fintech, real-time statistics for esports, personalization for eCommerce, and more.

Kafka 52
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Hyperautomation Success Throughout SAP Master Data

Precisely

How can your business move faster, respond quickly to change, increase accuracy, and save money… all at the same time? The answer lies in hyperautomation. In today’s fast-paced and rapidly changing business environment, businesses must be fast, highly responsive, and accurate. Agility enables organizations to pivot quickly and adapt to changing circumstances, giving them a competitive edge.

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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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A Guide to DynamoDB Secondary Indexes: GSI, LSI, Elasticsearch and Rockset

Rockset

Many development teams turn to DynamoDB for building event-driven architectures and user-friendly, performant applications at scale. As an operational database, DynamoDB is optimized for real-time transactions even when deployed across multiple geographic locations. However, it does not provide strong performance for analytics workloads. Analytics on DynamoDB While NoSQL databases like DynamoDB generally have excellent scaling characteristics, they support only a limited set of operations that a

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Creating Value With a Data-Centric Culture: Essential Capabilities to Treat Data as a Product

Ascend.io

Because of its transformative potential, data has graduated from being merely a by-product of business operations to a critical asset in its own right. But what does a business need to do in order to leverage this asset? Is it possible to treat data not just as a necessary operational output, but as a product that holds immense strategic value? The answer is a resounding yes.