Thu.May 11, 2023

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Datadog’s $65M/year customer mystery solved

The Pragmatic Engineer

The internet has been speculating the past few days on which crypto company spent $65M on Datadog in 2022. I confirmed it was Coinbase, and here are the details of what happened. Originally published on 11 May 2023. 👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. We cover one out of six topics in today’s subscriber-only The Scoop issue.

AWS 307
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Kinesis sequence number is not an Apache Kafka offset

Waitingforcode

I have used to say "Kinesis Data Streams is like Apache Kafka, an append-only streaming broker with partitions and offsets". Although often it's true, it's not that simple unfortunately.

Kafka 130
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Confluent Will Beat Your Cost of Running Kafka (or $100 on us)

Confluent

Running Kafka is costly, but Confluent has created a far more efficient product to lower your costs. Join the Cost Savings challenge to see for yourself.

Kafka 142
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#ClouderaLife Volunteer Spotlight: Alex Campos, Principal Technical Leader, Spain

Cloudera

Originally from Brazil, Alex previously lived in Chile and now lives in Spain. During his time living in Latin America in early 2016, Alex saw what he describes as a “knowledge gap” —s eeing the way skills, content and expertise are shared in an open, friendly way at conferences in the US, Alex wanted to replicate that in Latin America. To address this gap, Alex started planning meetups.

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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.

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12 Best Data Management Tools in 2023

Hevo

One of the biggest stumbling blocks of a business is the expansion of its Database. A few problems one might have to deal with while trying to expand their Database are storage problems, complicated management issues, and difficulty in the location, sharing, and checking of isolated data.

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RAPIDS cuDF Cheat Sheet

KDnuggets

RAPIDS cuDF is an open-source Python library for GPU accelerated DataFrames. Grab this handy reference now and accelerate your data science!

More Trending

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Data Masking: The Core of Ensuring GDPR and other Regulatory Compliance Strategies

KDnuggets

This article has provided an overview of data masking and its importance in ensuring compliance with GDPR and other global regulations.

Data 103
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Fleet optimization with CARTO & Databricks

databricks

Effective delivery has become increasingly important for businesses in recent years, particularly for logistics companies and those in the consumer packaged goods (CPG).

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What are Large Language Models and How Do They Work?

KDnuggets

Large language models represent a significant advancement in natural language processing and have transformed the way we interact with language-based technology. Learn why they’re important and how they work.

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Snowflake: Streams on Views

Cloudyard

Read Time: 4 Minute, 15 Second During this post we will discuss about the latest feature i.e., STREAMS on VIEWS. Consider the scenario you have a regular View in your database which is based on multiple tables. Due to security compliance these tables are not exposed to the Custom Role in system. Indeed, the Custom role has access to VIEW only. As part of the daily load, we are getting DELTA data in our tables which includes deletion and insertion of new records.

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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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Clustering with scikit-learn: A Tutorial on Unsupervised Learning

KDnuggets

Clustering in machine learning with Python: algorithms, evaluation metrics, real-life applications, and more.

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Expert Tips and Best Practices for Your SAP s/4HANA Migration

Precisely

Many of SAP’s existing customers have made the shift from ECC to S/4HANA. A host of others have started fresh, implementing SAP’s next-generation cloud-enabled ERP for the first time coupled with SAP Solution Manager. The rollout of S/4HANA coincides with a tidal wave of digital transformation investment by enterprises seeking to streamline business processes, increase agility, and speed up the pace of innovation.

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Cybersecurity Incident Simulation @ Uber

Uber Engineering

We stand for safety and our approach to cybersecurity incident simulations is just one of the ways that we work to protect our riders, earners, eaters, and employees.

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Optimize Cloud Environment Chargeback and Budgeting

Acceldata

Learn how to control cloud costs by optimizing budgeting and managing chargeback for cost centers and organizational units.

Cloud 52
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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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Data-Oriented Programming with Python

Towards Data Science

Data-Oriented Programming in Python A recap on Data-Oriented Programming by Yehonathan Sharvit but illustrated with Python examples (instead of JavaScript and Java) Photo by AltumCode on Unsplash Data-Oriented Programming by Yehonathan Sharvit is a great book that gives a gentle introduction to the concept of data-oriented programming (DOP) as an alternative to good old object-oriented programming (OOP).

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Metal as a Service (MaaS): DIY server-management at scale

LinkedIn Engineering

Guaranteeing that our servers are continually upgraded to secure and vetted operating systems is one major step that we take to ensure our members and customers can access LinkedIn to look for new roles, access new learning programs, or exchange knowledge with other professionals. LinkedIn has quite a large fleet of servers on-premise that depend on internal tooling to ensure they stay on the latest operating systems.

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Understanding Zero-Code Development Life Cycle in Matillion

phData: Data Engineering

Traditional Software Development Lifecycle (SDLC) makes assumptions about the organization of work that are no longer always true in Low and No Code working patterns. Practices centered on software engineering principles can create a barrier to entry for teams with skilled data wranglers looking to take their infrastructure to the next level with cloud-native tools like Matillion for the Snowflake Data Cloud.

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How Monte Carlo Makes it Easy for Data Engineers to Programmatically Scale Data Trust

Monte Carlo

When it comes to the data engineer life, to be in the code is to exist. Sure, a well designed UI is a wonderful thing, but when you’re an engineer building on the fly, sometimes you just need a little more flexibility from your resources. But it’s not just about getting your work done right that matters—it’s also about getting it done faster. There’s nothing more demoralizing than calling in a support ticket for a task you could have done yourself in five minutes if you just had access to the AP

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating