Mon.Nov 06, 2023

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5 Free University Courses on Data Analytics

KDnuggets

Thinking about getting into the data analytical world but do not know where to start? Have a look at these 5 FREE university courses on data analytics.

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Databricks + Arcion: Real-time enterprise data replication to the Lakehouse

databricks

We are excited to announce that we have completed our acquisition of Arcion, a leading provider for real-time data replication technologies. Arcion’s capabilities w.

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365 Data Science Offers Free Course Access Until Nov. 20

KDnuggets

From November 6 (07:00 PST) to November 20 (07:00 PST), enjoy free unlimited access to 365 Data Science's comprehensive curriculum, interactive courses, practical data projects, and earn industry-recognized certificates—all at no charge.

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Arrow-optimized Python UDFs in Apache Sparkâ„¢ 3.5

databricks

In Apache Sparkâ„¢, Python User-Defined Functions (UDFs) are among the most popular features. They empower users to craft custom code tailored to their u.

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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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Back to Basics Week 1: Python Programming & Data Science Foundations

KDnuggets

Cultivate your data science expertise with KDnuggets' Back to Basics pathway, which includes Python, data manipulation, and visualization.

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How Meta built Threads in 5 months

Engineering at Meta

In about five short months, a small team of engineers at Meta took Threads, the new text-based conversations app, from from an idea to the most successful app launch of all time, pulling in over 100M users in its first five days. But this achievement wouldn’t have been possible without Meta’s existing systems and infrastructure. On the latest episode of the Meta Tech Podcast , Meta engineer Pascal Hartig ( @passy ) is joined by Joy Qiu , Cameron Roth, and Richard Zadorozny, three

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Why I joined ThoughtSpot: Kelley Jarrett, SVP Strategy, Operations and Enablement

ThoughtSpot

This blog is part of our ongoing ‘Why I joined ThoughtSpot’ series. In this blog, we will learn more about our recent hire Kelley Jarrett who joined us as SVP Strategy, Operations and Enablement Kelley Jarrett recently joined ThoughtSpot as SVP Strategy, Operations and Enablement, and is based out of Charleston, South Carolina. In this role, Kelley will focus on setting and executing the go-to-market strategy, so ThoughtSpot can continue to meet growing customer demand.

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Why Prompt Engineering is a Fad

KDnuggets

Various media outlets have been talking about prompt engineering with much fanfare, making it seem like it’s the ideal job — you don’t need to learn how to code, nor do you have to be knowledgeable about ML concepts like deep learning, datasets, etc. You’d agree that it seems too good to be true, right?

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5 Reasons Why Retail Media Is the Smart Approach for Online Retailers

Snowflake

To say the global retail market is challenging today would be a gross understatement. A rising cost of living, demanding consumer expectations, supply chain disruption and unforeseen public health crises like COVID-19 all contribute to the erosion of retailers’ bottom lines. However, retail media has in recent years emerged as an increasingly promising guard against these economic uncertainties and can even serve as a profitable revenue stream.

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Modernizing Prior Authorization with Advanced Analytics

databricks

This blog was written in collaboration with Dan Newingham, Solution Delivery Manager, ZS and Aaron Zavora, Technical Director, HLS, Databricks Mandates for electronic.

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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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Confluent Public Sector Summit Demonstrates Government’s Passion for Data

Confluent

Explore the government's data-driven evolution and insights from the Confluent Public Sector Summit on empowering missions with data. Dive in now!

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Testing with Intent: a Path to Embedded Accessibility by Sam Gladstone

Scott Logic

Embedded Accessibility is a vision of building accessible products by default. We can consider accessibility embedded when it no longer needs to be prioritised because it is already at the core of the delivery process. But generally, the software industry is not there yet—too many products get built while treating accessibility as an afterthought. In this post, I will explore a pragmatic and achievable step that software teams can take to tackle this issue.

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Celebrating Builders at Index Conference 2023

Rockset

Index , the conference for engineers building search, analytics and AI applications at scale, took place last Thursday, November 2, with attendees packing out the Computer History Museum’s learning lab as well as the Index livestream. The conference was a wonderful celebration of all the engineering innovation that goes into building the apps that permeate our lives.

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ON DEMAND WEBINAR: Data Observability Demo Day

DataKitchen

This webinar discusses how to make embarrassing data errors a thing of the past. We will start with how data engineers do not understand their data and have difficulty identifying problematic data records. We will also discuss how the vast majority of data engineers are so busy that they don’t know, or have time to write, tests to write to find data errors.

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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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Execute Immediate From Stage

Cloudyard

Read Time: 2 Minute, 42 Second During this post we are going to discuss EXECUTE IMMEDIATE FROM SQL command which trigger directly from files stored in an internal stage. We can have one or multiple sql files consist of valid Snowflake SQL commands. We can upload these files to the internal staging area and can execute it via running EXECUTE IMMEDIATE FROM << SQL file path >> This feature empowers users to effectively manage their Snowflake objects and code deployment.

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Curious About Display Ads? Here Are 3 Answers You Need

Mutt Data

Retail Media Networks - Part III This is the third blogpost in our Retail Media Network (RMN) series. In our first post , we discussed how RMNs benefit both retailers looking for additional monetization channels and advertisers aiming for improved product placement. In our second post , we dived into the challenges of building such networks. Finally, for our third post, we’ll be focusing on display advertising, its functions, and its advantages.

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Building In-Video Search

Netflix Tech

Boris Chen , Ben Klein , Jason Ge , Avneesh Saluja , Guru Tahasildar , Abhishek Soni , Juan Vimberg , Elliot Chow , Amir Ziai , Varun Sekhri , Santiago Castro , Keila Fong , Kelli Griggs , Mallia Sherzai , Robert Mayer , Andy Yao , Vi Iyengar , Jonathan Solorzano-Hamilton , Hossein Taghavi , Ritwik Kumar Introduction Today we’re going to take a look at the behind the scenes technology behind how Netflix creates great trailers, Instagram reels, video shorts and other promotional videos.

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Understand your data requirements by David Hope

Scott Logic

In this post we’ll take a whistle-stop tour around the topic of data, going from sources and types through to use cases and the technologies involved in processing data. We’ll briefly explore the conflicting requirements around data and emphasise the need for everyone to think about it in the development process, rather than treating data as an afterthought where its value won’t be properly maximised.

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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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Data Discovery Tools (Quick Reference Guide)

Monte Carlo

Just as a seed buried too deep won’t sprout, valuable data, when lost in the noise, fails to provide value. That’s why data discovery tools are so important. Odds are you’re not starved for data; you’re buried in it. Also known as data catalogs, data discovery tools are specialized software solutions designed to navigate, identify, and visualize data sources within an organization.

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Testing with Intent: a Technical View by Sam Gladstone

Scott Logic

In my first post , I set out why I think we should be Testing with Intent. I set out that, if we focus our tests on the intentions of users, we can improve our test suites and start to tackle accessibility. To keep the content accessible to everyone, I chose to not include anything technical. Now, in this post, I’m going to look at the same subject but through a technical lens.

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Working in a blameless culture by Dave Ogle

Scott Logic

What is a blameless culture? The way we work and the culture we create is vitally important, not only to the happiness and well-being of employees, but also, has a real impact on the effectiveness and efficiency of teams. One of the things which, in my experience, makes a huge positive impact is having a blameless culture in your team. What do we mean by a blameless culture?

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