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Data Warehousing Essentials: A Guide To Data Warehousing

Seattle Data Guy

Photo by Tiger Lily Data warehouses and data lakes play a crucial role for many businesses. It gives businesses access to the data from all of their various systems. As well as often integrating data so that end-users can answer business critical questions.

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Docker Fundamentals for Data Engineers

Start Data Engineering

Most data projects use Docker to set up the data infra locally (and often in production). Communicate between containers and local OS 2.2.2. Start containers with docker CLI or compose 3. Conclusion 1. Introduction Docker can be overwhelming to start with.

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Data Analytics Suck! Worst Job Ever!

Confessions of a Data Guy

Being Data Analytics is a meat grinder, it’s the worst job ever. The post Data Analytics Suck! appeared first on Confessions of a Data Guy. Horrible it is. It will crush you. Worst Job Ever!

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Data News — Week 24.16

Christophe Blefari

easy ( credits ) Hey, new Friday, new Data News. How we build Slack AI to be secure and private — How Slack uses VPC and Amazon SageMaker with your data secured and private. Data pipeline, incremental vs. full load — A comprehension comparison between 2 mode of ingestion with a decision tree about which one to pick.

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The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data and AI

Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)

Embark on a transformation journey into the heart of the data ecosystem! This webinar is your gateway to a deeper comprehension of the foundations that drive the data industry and will equip you with the knowledge needed to navigate the evolving landscape. Delve into the diverse use cases where data analytics plays a pivotal role.

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10 Great Videos To Help You Learn Data Engineering

Seattle Data Guy

How data is structured, managed and processed will continue to grow in importance as the demand for AI and machine learning increase. It’s unavoidable that as businesses demand that their data teams implement AI, they will also realize that data engineers are a crucial piece of the data pipeline.

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Why Is Data Modeling So Challenging – How To Data Model For Analytics

Seattle Data Guy

Learning about how to data models from basic star schemas on the internet is like learning data science using the IRIS data set. Data modeling in real life requires you fully understand the data sources and your business use cases.… It works great as a toy example. But it doesn’t match real life at all.

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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.

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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.

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Modern Data Architecture for Embedded Analytics

Every data-driven project calls for a review of your data architecture—and that includes embedded analytics. Before you add new dashboards and reports to your application, you need to evaluate your data architecture with analytics in mind. Expert guidelines for a high-performance, analytics-ready modern data architecture.

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How to Build Data Experiences for End Users

Organizational data literacy is regularly addressed, but it’s uncommon for product managers to consider users’ data literacy levels when building products. Product managers need to research and recognize their end users' data literacy when building an application with analytic features.

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4 Approaches to Data Analytics

The world of data analytics is changing fast as organizations look to gain competitive advantages through the application of timely data.

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You’re Invited: Innovate Through Data Virtual Summit

Speaker: Logi Analytics

Logi Spark 2021 consists of two days of networking, best practice sessions, and forward-thinking keynotes on the future of data. Preview our sessions and sign up to join other data leaders looking to transform the world of analytics.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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Monetizing Analytics Features: Why Data Visualization Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Download the whitepaper to learn about Monetizing Analytics Features, and Why Data Visualizations Will Never Be Enough. Five years ago they may have. But today, dashboards and visualizations have become commonplace.