Tue.Sep 12, 2023

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Everything you Need to Become a SAS Certified Data Scientist

KDnuggets

With a shortage of talent and an abundance of opportunity, there’s never been a better time to launch or advance your data science career with the SAS Academy for Data Science. Read on to find out everything you need to become a SAS Certified Data Scientist.

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Best Practices for LLM Evaluation of RAG Applications

databricks

Chatbots are the most widely adopted use case for leveraging the powerful chat and reasoning capabilities of large language models (LLM). The retrieval.

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Meta Quest 2: Defense through offense

Engineering at Meta

Meta’s Native Assurance team regularly performs manual code reviews as part of our ongoing commitment to improve the security posture of Meta’s products. In 2021, we discovered a vulnerability in the Meta Quest 2’s Android-based OS that never made it to production but helped us find new ways to improve the security of Meta Quest products. We’re sharing our journey to get arbitrary native code execution in the privileged VR Runtime service on the Meta Quest 2 by exploiting a memory corruption v

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A Comprehensive Guide to Pinecone Vector Databases

KDnuggets

This blog discusses vector databases, specifically pinecone vector databases. A vector database is a type of database that stores data as mathematical vectors, which represent features or attributes. These vectors have multiple dimensions, capturing complex data relationships. This allows for efficient similarity and distance calculations, making it useful for tasks like machine learning, data analysis, and recommendation systems.

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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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How to Build an Interactive Real-Time Chat Application with Websockets?

Workfall

Reading Time: 11 minutes What is Socket.io? Socket.io , a widely-used JavaScript library, offers a framework for facilitating real-time, two-way communication between web clients (like browsers) and servers. It uses WebSockets as the primary communication method but also offers fallback options such as long polling for environments where WebSockets may not be supported.

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Understanding Machine Learning Algorithms: An In-Depth Overview

KDnuggets

Understanding Machine Learning: Exposing the Tasks, Algorithms, and Selecting the Best Model.

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Data Cloud Industry Day 2023: Your Event Guide

Snowflake

The first annual Data Cloud Industry Day is here! Data Cloud Industry Day 2023 is a free virtual event on September 28, 2023, dedicated to what’s possible for you and your industry in the world of data. From leading-edge innovations to seamless solutions to your toughest industry-specific challenges, Industry Day provides the insights and information you need to drive business value with your data.

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Statistics in Data Science: Theory and Overview

KDnuggets

High-level exploration of the role of statistics in data science.

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Understanding Snowflake’s Shared Responsibility Model

Snowflake

The White House recently released the first National Cybersecurity Strategy , which among other things, holds the stewards of data accountable and shifts liability for insecure software products and services away from end users and toward vendors that are capable of taking actions to prevent bad outcomes. We are thrilled to announce both the availability of the Snowflake Shared Responsibility Model , alongside Snowflake’s collaboration with the Center for Internet Security (CIS) and the security

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Should We Be Virtualizing Our Data Science Systems and—or Not?

Towards Data Science

It can be hard to navigate the pros and cons of virtualizing data science processes, but some power and performance trends cannot be… Continue reading on Towards Data Science »

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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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Your Guide to Flink SQL: An In-Depth Exploration

Confluent

Get an in-depth introduction to Flink SQL. Learn how it relates to other APIs, its built-in functions and operations, which queries to try first, and see syntax examples.

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MapInfo Pro v2023: What’s new?

Precisely

Think back to the first time you entered a movie theater to watch a 3D movie. Walking down dark corridors with sticky floors and then stepping into a portal to another world. The dimly lit room, the hushed excitement of the audience, and the anticipation building as you put on those sleek paper 3D glasses. Did you know that visualizing data in three dimensions is very much like that first step into a 3D movie theater?

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Enhancing Jest snapshot testing to performance test your application by Kiet Lau

Scott Logic

How to customize Jest snapshot testing to performance test your application Jest is a widely used JavaScript unit testing tool that is well-maintained and popular with developers, due to its ease of use and active community. One of Jest ’s unique features is snapshot testing, which can be an excellent tool for writing a large number of tests for pre-existing/legacy codebase with minimum effort.

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Know Before You Go: Precisely at Confluent’s Current 2023

Precisely

We’re headed to San Jose! The Precisely team is excited to be part of Confluent’s Current 2023 conference, September 26 & 27. As a proud member of the Connect with Confluent program , we help organizations going through digital transformation and IT infrastructure modernization break down data silos and power their streaming data pipelines with trusted data.

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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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Zero ETL: What’s Behind the Hype?

Ascend.io

As businesses find themselves increasingly reliant on big data and analytics, the traditional process of data integration, primarily ETL (Extract, Transform, Load), can sometimes act as a bottleneck. Amazon Web Services (AWS) recognized this issue and unveiled the concept of zero ETL at re:Invent 2022. Snowflake followed suit, launching hybrid tables and partnering with Salesforce to further modernize data integration.

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Announcing Confluent’s Data Streaming Startup Challenge

Confluent

Startups using data streaming can submit an application to win an investment from Confluent.

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Last Mile Data Processing with Ray

Pinterest Engineering

Raymond Lee | Software Engineer II; Qingxian Lai | Sr. Software Engineer; Karthik Anantha Padmanabhan | Manager II, Engineering; Se Won Jang | Manager II, Engineering Photo by Claudio Schwarz on Unsplash Our mission at Pinterest is to bring everyone the inspiration to create the life they love. Machine Learning plays a crucial role in this mission. It allows us to continuously deliver high-quality inspiration to our 460 million monthly active users, curated from billions of pins on our platform.

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Introduction to Semantic Search: From Keyword to Vector Search

Rockset

Google, eBay, and others have the ability to find “similar” images. Have you ever wondered how this works? This capability transcends what’s possible with ordinary keyword search and instead uses semantic search to return similar or related images. This blog will cover a brief history of semantic search, its use of vectors, and how it differs from keyword search.

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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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Create trusted insights with Verified Liveboards

ThoughtSpot

ThoughtSpot users can easily create content with data using our intuitive, AI-powered search experience. However, business users sometimes find themselves asking a critical question: which content should I trust and use for my specific business use case? For example, if there are ten “Sales Performance” Liveboards created by different authors, you may wonder which is the golden version—the Liveboard that is reviewed, approved, and consistently maintained.

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Enabling a Self-Serve Data Culture at Whatnot with Data Observability

Monte Carlo

Founded in late 2019, the livestream shopping platform Whatnot has grown to become one of the largest online marketplaces for collectibles in the U.S. Whatnot brings together commerce and entertainment in categories like trading cards, sports cards, and fashion, to video games, streetwear, and beyond. Merchandise sellers cultivate audiences through their dedicated channels, and buyers get to know and interact with the people on the other side of their transactions during their livestream shows.