Mon.Dec 12, 2022

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Brief History of Data Engineering

Jesse Anderson

In the beginning, there was Google. Google looked over the expanse of the growing internet and realized they’d need scalable systems. They created MapReduce and GFS in 2004. They published the papers for them in the same year. Doug Cutting took those papers and created Apache Hadoop in 2005. Cloudera was started in 2008, and HortonWorks started in 2011.

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Top Posts December 5-11: 4 Useful Intermediate SQL Queries for Data Science

KDnuggets

4 Useful Intermediate SQL Queries for Data Science • How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • 3 Free Machine Learning Courses for Beginners • 7 Essential Cheat Sheets for Data Engineering • 7 Techniques to Handle Imbalanced Data.

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How to build a communication microservice to send text messages using Twilio and Express?

Workfall

Reading Time: 7 minutes Twilio is all about empowering #communication in a convenient and timely manner. In this blog, we will demonstrate how to build a communication microservice to send text messages using Twilio and Express. Let’s get started! Required Installations: Node.js: It is a JavaScript runtime environment that executes JavaScript code outside the browsers.

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From Data to Verse: KDnuggets and ChatGPT in Conversation

KDnuggets

KDnuggets recently had the opportunity to sit down with newly-released acclaimed artificial intelligence ChatGTP from OpenAI. What we found during the course of conversation was both interesting and surprising. Read on to find out what ChatGPT knew about data science and much more.

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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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The Snowflake Data Experience: A Survey of Snowflake Users and How They Optimize Their Data

Acceldata

Clearly, cost is top of mind for most Snowflake data teams. What’s notable about this particular metric is that other top concerns – data quality and performance – are both intrinsically related to cost.

Data 52
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How to Set Yourself Apart from Other Applicants with Data-Centric AI

KDnuggets

This article is designed to help you prepare for the job market and get yourself noticed in the industry.

Designing 108

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How to Make Documenting Code Easier

KDnuggets

Helping programmers write better code documentation with maximum effort.

Coding 110
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Databricks at National Retail Federation (NRF) Retail’s Big Show 2023

databricks

Request a meeting with Databricks executives/thought leaders at NRF! Retail, at its core, is about the relationship between an organization’s brand and customers -.

Retail 52
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How Acceldata Guardrails Align Costs to Value for Snowflake Environments

Acceldata

Guardrails is a resource monitoring feature that automatically alerts you when compute resources in your data environment exceed a pre-defined threshold.

Data 52
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What makes for a Most Loved Workplace? by Beth Wallis

Scott Logic

We were proud to be a sponsor of November’s Women of Silicon Roundabout event at ExCeL London. It was a real delight to see so many women technologists together in one place, sharing insights, supporting each other’s careers, and providing inspiration and motivation. We’re a Most Loved Workplace® , so when people came to meet us at the Scott Logic stand, we took the opportunity to ask them “What would make somewhere a most loved workplace for you?

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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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Going Beyond Data Quality in Healthcare with Data Observability

Acceldata

Multi-layered data observability helps organizations go beyond data quality in healthcare. Four reasons why healthcare needs data observability.

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Optimizing NixOS Search

Tweag

With their introduction in Nix 2.4, flakes are quickly becoming an integral part of the Nix ecosystem. For anyone unfamiliar, flakes exist to provide a standard format to package Nix-based projects. To allow for better user experience and composability for existing flakes, discoverability of flakes is a necessary feature. The site search.nixos.org is used to search for packages, options, and flakes.

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Optimize Your Snowflake Environment With These Eight Data Observability Metrics

Acceldata

Learn how to optimize your Snowflake environment with these important data observability elements.

Data 52
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Open-sourcing Anonymous Credential Service

Engineering at Meta

Meta has open-sourced Anonymous Credential Service (ACS) , a highly available multitenant service that allows clients to authenticate in a de-identified manner. ACS enhances privacy and security while also being compute-conscious. By open-sourcing and fostering a community for ACS, we believe we can accelerate the pace of innovation in de-identified authentication.

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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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In Snowflake vs. Databricks Feud, the Only Conclusion Is: DataOps Needs All the Help It Can Get

Acceldata

In the Snowflake vs. Databricks feud, one thing is clear - DataOps needs data observability.

IT 52
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Go Hybrid & Multi-Cloud or Don’t Go

Cloudera

Over the past few months industry analysts have been making some pretty controversial recommendations for data management in the cloud. For a thoughtful and entertaining analysis, I strongly recommend you spend a few minutes watching the keynote session by Pat Moorhead, CEO Moor Insights & Strategy, at the Evolve 2022 Data event in New York. His takeaway: “The world is very much going to be hybrid and multi-cloud.

Cloud 96