Sat.Aug 25, 2018 - Fri.Aug 31, 2018

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Auth0 Architecture: Running In Multiple Cloud Providers And Regions

High Scalability

This is article was written by Dirceu Pereira Tiegs, Site Reliability Engineer at Auth0, and originally was originally published in Auth0. Auth0 provides authentication, authorization, and single sign-on services for apps of any type (mobile, web, native) on any stack. Authentication is critical for the vast majority of apps. We designed Auth0 from the beginning so that it could run anywhere: on our cloud, on your cloud, or even on your own private infrastructure.

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How enterprise mobile apps are changing IT strategy?

OTS Solutions

How enterprise mobile apps development changing IT strategy. 2018 is a year where you are going to witness a change in enterprise mobile apps development, thanks to the current trends in hybrid cloud, container infrastructure, blockchain, and DevOps. To discuss more on the growing changes, we are going to dive right into the changes in the enterprise mobile app dev space.

Mobile 100
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Trending Sources

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I don't want to learn your garbage query language

Erik Bernhardsson

This is a bit of a rant but I really don’t like software that invents its own query language. There’s a trillion different ORMs out there. Another trillion databases with their own query language. Another trillion SaaS products where the only way to query is to learn some random query DSL they made up. I just want my SQL back. It’s a language everyone understands, it’s been around since the seventies, and it’s reasonably standardized.

Banking 279
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Difference between Linear and Non Linear Data Structure

The Crazy Programmer

Here you will learn about difference between linear and non linear data structure. Data structures are basically a way of storing and logically implementing the data elements. These elements need to be stored in a way which makes them orderly and organized. Apart from the primitive data structures which include the int, char, float, double etc., the non primitive data structures are also important and definitely play a crucial role for storing and retrieving the data structures.

Data 100
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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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10 Pieces of Borrowed Wisdom for Effective Tech Consultancy

OpenCredo

This blog is a brief collation of wisdom that’s helped Fahran the most during her adventure as a consultant at OpenCredo; gained by learning the hard way, as well as that acquired from mentoring and colleagues who have gone before. Continue reading 10 Pieces of Borrowed Wisdom for Effective Tech Consultancy on opencredo.com.

More Trending

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How long is a piece of string

Agile Alliance

In 20 slides Seb Rose describes how planning poker is supposed to work, why it usually doesn't, and offer some alternatives that might work better for you.

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Use the TIG stack to create your IoT home automation dashboards

Xebia

In my previous blogpost I showed how to read gas and electricity measurements from a smart meter. Although it is a nice accomplishment to be able to read these measurements, the next step is obviously to do something useful with them. So, let’s create some nice dashboards based on these measurements. In particular I want […]. The post Use the TIG stack to create your IoT home automation dashboards appeared first on Xebia Blog.

IoT 124
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How to Know What Your Team is Really Thinking

Let's Grow Leaders

Are you listening to your team and the stories they tell? During times of change and uncertainty, your team is desperate for information. They’re looking for the story behind the story. They’re thirsty to listen to anyone who knows what’s REALLY going […]. The post How to Know What Your Team is Really Thinking appeared first on Let's Grow Leaders.

How To 129
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Completing the extraction of a data-rich service

Martin Fowler

Praful completes the steps of extracting a data rich service by pointing the new service to the new database and removing the dead logic and schema from the monolith.

Data 183
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Top 5 Challenges in Designing a Data Warehouse for Multi-Tenant Analytics

Multi-tenant architecture allows software vendors to realize tremendous efficiencies by maintaining a single application stack instead of separate database instances while meeting data privacy needs. When you use a data warehouse to power your multi-tenant analytics, the proper approach is vital. Multi-tenant analytics is NOT the primary use case with traditional data warehouses, causing data security challenges.

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Fake or Dark agile and what to do about it

Agile Alliance

In this talk, Scott Schnier discusses that many people and organizations claim they are doing agile but not really embracing the values and what to do about it.

Agile 138
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Sea change: What happens when Jupyter becomes pervasive at a university?

O'Reilly Media - Data

Fernando Perez talks about UC Berkeley's transition into an environment where many undergraduates use Jupyter and the open data ecosystem as naturally as they use email. Continue reading Sea change: What happens when Jupyter becomes pervasive at a university?

Data 107
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I don't want to learn your garbage query language

Erik Bernhardsson

This is a bit of a rant but I really don’t like software that invents its own query language. There’s a trillion different ORMs out there. Another trillion databases with their own query language. Another trillion SaaS products where the only way to query is to learn some random query DSL they made up. I just want my SQL back. It’s a language everyone understands, it’s been around since the seventies, and it’s reasonably standardized.

Banking 100
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Steps 6 & 7 of extracting a data-rich service

Martin Fowler

Two steps today from Praful's service extraction article. Step 6 creates a new database for the service and 7 syncs the data from the monolith. more….

Data 158
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7 Pitfalls for Apache Cassandra in Production

Apache Cassandra is an open-source distributed database that boasts an architecture that delivers high scalability, near 100% availability, and powerful read-and-write performance required for many data-heavy use cases. However, many developers and administrators who are new to this NoSQL database often encounter several challenges that can impact its performance.

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Agile for Hardware Development and other non-Software Development Activities

Agile Alliance

In this Lightning Talk Neal Herman described how our company uses Scrum, Kanban, and Scaled Agile to develop complex medical instruments and clinical assays.

Agile 117
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Disease prediction using the world's largest clinical lab data set

O'Reilly Media - Data

Cristian Capdevila explains how Prognos is predicting disease. Continue reading Disease prediction using the world's largest clinical lab data set.

Data 120
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OTS Solutions extends its presence in US – Opening a new office in Dallas TX

OTS Solutions

Dallas, Texas – August 20, 2018 – OTS Solutions, a recognized provider of bespoke IT services, consulting and solutions, announced the opening of its new location in Dallas, TX. Although the company calls New York City home, this move is sure to reverberate across the national business landscape. Long-known for its diversity of skill and ability to deliver value, OTS Solutions is getting down to work in Texas.

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Step 4 of extracting a data-rich service

Martin Fowler

Praful's 4th step is to build the new service, which initially uses the tables in the monolith. more….

Data 158
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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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Mental model for the agile mindset

Agile Alliance

In this talk Ben Kopel walks through his mental model for the agile mindset and explains how agility and the agile mindset helps produce desired outcomes.

Agile 116
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Building accessible tools for large-scale computation and machine learning

O'Reilly Media - Data

The O’Reilly Data Show Podcast: Eric Jonas on Pywren, scientific computation, and machine learning. In this episode of the Data Show , I spoke with Eric Jonas , a postdoc in the new Berkeley Center for Computational Imaging. Jonas is also affiliated with UC Berkeley’s RISE Lab. It was at a RISE Lab event that he first announced Pywren , a framework that lets data enthusiasts proficient with Python run existing code at massive scale on Amazon Web Services.

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The Ultimate ENS and ?App Tutorial

Toptal

The Ethereum Name Service is a blockchain-backed alternative to the internet's traditional Domain Name System. If you own a.eth domain, you can deploy smart contracts that let users set up their own subdomains—but then, of course, you'll want a corresponding ?App to make it user-friendly. In this tutorial, Toptal Freelance Ethereum Developer Radek Ostrowski provides complete coverage of this scenario, this time with a focus on ?

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What is a Product Owner?

SCRUMstudy

Before we read about how to be an effective product owner, let us first understand who a product owner is and what he/she does. A product owner is not a separate title but is a role that can be performed by a business analyst or even a representative of an end user. A product owner is a stakeholder who acts as an interface between the business representatives and the project team.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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11 changes you can make to move faster (and break fewer things)

Agile Alliance

In this lightning talk, Andrew Homeyer, founder of Waffle.io, shares some of his tips and stories for becoming a faster-moving team.

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Jupyter notebooks and the intersection of data science and data engineering

O'Reilly Media - Data

David Schaaf explains how data science and data engineering can work together to deliver results to decision makers. Continue reading Jupyter notebooks and the intersection of data science and data engineering.

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The Economics and Benefits of Artificial Intelligence

Toptal

Will AI make improve our lives beyond comparison, or will it steal our jobs and destroy humanity? In this article, Dr. Necati Demir, Toptal Freelance AI Expert, discusses not the evil artificial general intelligence of science fiction but the current algorithm-based prediction AI and discusses how the economics of AI work, along with their effects on businesses.

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The Very Best Secret to Holding Tough Conversations (with video)

Let's Grow Leaders

So often when we’re asked to train teams on how to hold tough conversations, we find a deeper underlying issue that must be addressed first. Has this ever happened to you? Watch the Stage Version of this Story and Key Insights Here The Very […]. The post The Very Best Secret to Holding Tough Conversations (with video) appeared first on Let's Grow Leaders.

Video 77
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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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Solving the codified oracle problem

Agile Alliance

In this talk Mark Winteringham discusses what codified oracles are, their role in automated tests, and how you can improve them to give better feedback.

Testing 100
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Data science as a catalyst for scientific discovery

O'Reilly Media - Data

Michelle Gill discusses how data science methods and tools can link information from different scientific fields and accelerate discovery. Continue reading Data science as a catalyst for scientific discovery.

Data 101
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The Best UX Tools (with Infographic)

Toptal

When having the right UX tools is the crucial difference between having an effective design workflow and one that’s slow and unproductive, it’s important to stay up to date with the latest tools (with infographic).

Tools 100