Sat.Oct 28, 2023 - Fri.Nov 03, 2023

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Generative AI vs Machine Learning: Which One to Choose?

Knowledge Hut

Artificial Intelligence has transformed the way we tackle intricate problems, interpret data, and make forecasts, revolutionizing the tech realm with its uninhabited prowess and potential. In fact, did you know that the global market for AI , which currently stands at a market value of $150.2 billion, is expected to witness a 36.8% CAGR by the end of 2030?

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Azure Data Engineer vs Azure DevOps: Top 8 Differences

Knowledge Hut

For those aspiring to build a career within the Azure ecosystem, navigating the choices between Azure Data Engineers and Azure DevOps Engineers can be quite challenging. Azure Data Engineers and Azure DevOps Engineers are two critical components of the Azure ecosystem for different but interconnected reasons. A choice between these two can be difficult to make unless you have all the information you need.

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Handling a Regional Outage: Comparing the Response From AWS, Azure and GCP

The Pragmatic Engineer

👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. In every issue, I cover topics related to Big Tech and startups through the lens of engineering managers and senior engineers. In this article, we cover three out of seven topics from today’s subscriber-only issue Three Cloud Providers, Three Outages: Three Different Responses.

AWS 239
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Surveying The Market Of Database Products

Data Engineering Podcast

Summary Databases are the core of most applications, whether transactional or analytical. In recent years the selection of database products has exploded, making the critical decision of which engine(s) to use even more difficult. In this episode Tanya Bragin shares her experiences as a product manager for two major vendors and the lessons that she has learned about how teams should approach the process of tool selection.

Database 189
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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. They're often developing using prompting, Retrieval Augmented Generation (RAG), and fine-tuning (up to and including Reinforcement Learning with Human Feedback (RLHF)), typically in that order. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are le

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What's new in Apache Spark 3.5.0 - watermark propagation

Waitingforcode

Watermark, or rather multiple watermarks management, has been a thorn in the side of Apache Spark Structured Streaming. It has improved in the previous release (3.4.0) but still had some room for improvement. Well, it did have because the 3.5.0 release brought a serious fix for the multiple watermarks scenario.

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Announcing MLflow 2.8 LLM-as-a-judge metrics and Best Practices for LLM Evaluation of RAG Applications, Part 2

databricks

Today we're excited to announce MLflow 2.8 supports our LLM-as-a-judge metrics which can help save time and costs while providing an approximation of.

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Dialpad Turns to Confluent and StarTree for Real-Time Customer Intelligence

Confluent

Learn how AI-powered customer intelligence platform Dialpad modernized its data infrastructure and improved customer satisfaction rates with Confluent and Startree.

Data 119
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Harness the Power of Pinecone with Cloudera’s New Applied Machine Learning Prototype

Cloudera

Elevate your AI applications with our latest applied ML prototype At Cloudera, we continuously strive to empower organizations to unlock the full potential of their data, catalyzing innovation and driving actionable insights. And so we are thrilled to introduce our latest applied ML prototype (AMP) — a large language model (LLM) chatbot customized with website data using Meta’s Llama2 LLM and Pinecone’s vector database.

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Hyperparameter Tuning: GridSearchCV and RandomizedSearchCV, Explained

KDnuggets

Learn how to tune your model’s hyperparameters using grid search and randomized search. Also learn to implement them in scikit-learn using GridSearchCV and RandomizedSearchCV.

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The Definitive Entity Resolution Buyer’s Guide

Are you thinking of adding enhanced data matching and relationship detection to your product or service? Do you need to know more about what to look for when assessing your options? The Senzing Entity Resolution Buyer’s Guide gives you step-by-step details about everything you should consider when evaluating entity resolution technologies. You’ll learn about use cases, technology and deployment options, top ten evaluation criteria and more.

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Training LLMs at Scale with AMD MI250 GPUs

databricks

Introduction Four months ago, we shared how AMD had emerged as a capable platform for generative AI and demonstrated how to easily and.

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Use AI in Seconds with Snowflake Cortex

Snowflake

Generative AI is unlocking new ways to drive innovation, improve productivity and derive more value from data. For organizations to fully capitalize on this potential, it’s critical that everyone — not just those with AI expertise — is able to access and use generative AI. That’s why we created Snowflake Cortex (in private preview), Snowflake’s new, intelligent, fully managed service that enables organizations to quickly analyze data and build AI applications — all within Snowflake.

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Top 30+ Computer Science Project Topics of 2023 [Source Code]

Knowledge Hut

Choosing the best computer science project topic is critical to the success of any computer science student or employee. After all, the more engaging and interesting topic, the more likely it is that students or employees will be able to stay motivated and focused throughout the duration of the project. However, with so many options out there, it can be tough to decide which one is right for you.

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AI vs Data Analysts: Top 6 Limitations Impacting the Future of Analytics

KDnuggets

AI have ability to reason, and generate functioning code in languages like Python, SQL, and R, they can provide impressive value with Data analysis. But can they replace data analysts?

SQL 109
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Streaming SQL in Data Mesh

Netflix Tech

Democratizing Stream Processing @ Netflix By Guil Pires , Mark Cho , Mingliang Liu , Sujay Jain Data powers much of what we do at Netflix. On the Data Platform team, we build the infrastructure used across the company to process data at scale. In our last blog post, we introduced “Data Mesh” — A Data Movement and Processing Platform. When a user wants to leverage Data Mesh to move and transform data, they start by creating a new Data Mesh pipeline.

SQL 106
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Fast, Easy and Secure LLM App Development With Snowflake Cortex

Snowflake

Generative AI (GenAI) and large language models (LLMs) are disrupting the way we work at a global scale. Snowflake is excited to announce an innovative product lineup that brings our platform’s ease of use, security and governance to the GenAI world. Through these new offerings, any user can incorporate LLMs into analytical processes in seconds; developers can create GenAI-powered apps in minutes, or within hours execute powerful workflows, like fine-tuning foundation models on enterprise data —

SQL 109
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Build Modern Innovative Solutions on Cloudera Data Platform Using the Power of Generative AI with Amazon Bedrock

Cloudera

Enterprises see embracing AI as a strategic imperative that will enable them to stay relevant in increasingly competitive markets. However, it remains difficult to quickly build these capabilities given the challenges with finding readily available talent and resources to get started rapidly on the AI journey. Cloudera recently signed a strategic collaboration agreement with Amazon Web Services (AWS), reinforcing our relationship and commitment to accelerating and scaling cloud native data manag

AWS 105
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Building Data Pipelines to Create Apps with Large Language Models

KDnuggets

For production grade LLM apps, you need a robust data pipeline. This article talks about the different stages of building a Gen AI data pipeline and what is included in these stages.

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A Functional Load Balancer with Scala, Http4s and Cats Effect

Rock the JVM

by Anzori (Nika) Ghurtchumelia Video version: 1. Introduction “What I cannot build, I do not understand” Richard Feynman In this article we will make use of cats.effect.Ref , cats.effect.IO and http4s to build an application layer load balancer. A load balancer usually sits in front of a few servers and forwards the HTTP requests to them based on some algorithm.

Scala 105
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Announcing New Innovations for Snowflake Horizon 

Snowflake

Snowflake’s single, cross-cloud governance model has always been a powerful differentiator, enabling customers to manage their increasingly complex data ecosystems with simplicity and ease. As a result, Snowflake is enhancing its governance capabilities that thousands of customers already rely on through Snowflake Horizon. Snowflake Horizon is Snowflake’s built-in governance solution with a unified set of compliance, security, privacy, interoperability, and access capabilities.

Metadata 108
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EMEA Summit Partner Awards for AWS, Accenture, IBM, Talend a Qlik Company, Tech Data, and Dell Technologies

Cloudera

We are excited to announce the winners of the 2023 EMEA Partner of the Year awards, presented this month at our EMEA Partner Summit in Lisbon, Portugal. These awards recognize Cloudera’s EMEA partners who are dedicated to transforming the future of data by leveraging the most complete hybrid, multi-cloud data platform. EMEA Partner of the Year: IBM IBM continues to be a key strategic partner, on track for another breakout year!

AWS 101
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5 Simple Steps Series: Master Python, SQL, Scikit-learn, PyTorch & Google Cloud

KDnuggets

Dive into KDnuggets Back to Basics: Getting Started in 5 Steps series to help you master Python, SQL, Scikit-learn, PyTorch, and Google Cloud Platform.

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Big Book of MLOps Updated for Generative AI

databricks

Last year, we published the Big Book of MLOps, outlining guiding principles, design considerations, and reference architectures for Machine Learning Operations (MLOps). Since.

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Build and deploy ML with ease Using Snowpark ML, Snowflake Notebooks, and Snowflake Feature Store

Snowflake

Snowflake has invested heavily in extending the Data Cloud to AI/ML workloads, starting in 2021 with the introduction of Snowpark , the set of libraries and runtimes in Snowflake that securely deploy and process Python and other popular programming languages. Since then, we’ve significantly opened up the ways Snowflake’s platform, including its elastic compute engine can be used to accelerate the path from AI/ML development to production.

Python 108
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AI prompt engineering benefits

InData Labs

AI prompt engineering has taken center stage in many professional circles as of late. This is because businesses have been able to garner better results with AI using prompt engineering techniques. With the right prompt engineering strategy, the results of all AI and ML applications are improved. Many individuals have also switched careers due to. Запись AI prompt engineering benefits впервые появилась InData Labs.

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Data Warehouses vs. Data Lakes vs. Data Marts: Need Help Deciding?

KDnuggets

A comparative overview of data warehouses, data lakes, and data marts to help you make informed decisions on data storage solutions for your data architecture.

Data Lake 108
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To Tailgate or Not? How Databricks + AccuWeather used ML to answer every football fan's burning question

databricks

Whether you’re an NFL fanatic, an alumnus rooting for your alma mater or a super fan just trying to catch a glimpse of T.

Data 126
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Better Manage and Optimize Your Snowflake Spend In One Place With the New Cost Management Interface

Snowflake

In the ever-evolving world of data management, Snowflake is at the forefront of empowering our customers to make informed decisions about data while ensuring cost efficiency and control. Admins know that managing and optimizing platform costs can be a complex and time-consuming task. To help them more intuitively understand, control and optimize spend from one centralized place, Snowflake is introducing the new Cost Management Interface (private preview).

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Great Nickel configurations from little merges grow

Tweag

This blog post is part of the series exploring the foundations of the Nickel configuration language. Presenting Nickel: better configuration for less Programming with contracts in Nickel Types à la carte in Nickel Great configurations from little merges grow We previously looked at the core language, then contracts, and finally typing. The last important remaining piece to explore is the merge system.

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Business Analyst Roles and Responsibilities

Knowledge Hut

What is Business Analysis? Change is mandatory in this competitive world, as adapting to new technology to survive or stand out from your competition is essential. Thus, every business has to identify the changes and the factors they need to keep up with to have their hold in the market. That is the task that falls under business analysis. Business analysis is a practice to determine changing business needs and apt solutions.

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Roadmap to Becoming a Data Engineer In 2023–24

Medium Data Engineering

Data engineering is a fascinating and fulfilling career — you are at the helm of every business operation that requires data, and as long… Continue reading on Medium »

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Snowday Announcements for Application Development: Snowpark Container Services, Snowflake Native Apps, Hybrid Tables and more!

Snowflake

Snowflake is announcing new product capabilities that are changing how developers build, deliver, distribute and operate their applications. These new features include programming language and hardware flexibility from Snowpark Container Services, as well as the ability to build, distribute and monetize full-stack apps with the Snowflake Native App Framework; the ability to leverage transactional and analytical data together with Hybrid Tables; and DevOps capabilities including database change m

Database 104
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How to cover up coastal artifacts in mosaiced imagery

ArcGIS

Sometimes mosaiced imagery over water can have undesirable seam artifacts or gaps. Here's one way to make that water look snazzy.

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