Thu.Jan 04, 2024

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Cutting Your Data Stack Costs: How To Approach It And Common Issues

Seattle Data Guy

I once had an engineer tell me that they essentially didn’t want to consider cost as they were building a solution. I was baffled. Don’t get me wrong, yes, when you’re building, you iterate and aim to improve your solutions cost. But from my perspective, I don’t think completely ignoring costs from day one is… Read more The post Cutting Your Data Stack Costs: How To Approach It And Common Issues appeared first on Seattle Data Guy.

IT 130
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LLM Training and Inference with Intel(R) Gaudi(R) 2 AI Accelerators

databricks

At Databricks, we want to help our customers build and deploy generative AI applications on their own data without sacrificing data privacy or.

Building 144
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Level 50 Data Scientist: Python Libraries to Know

KDnuggets

This article will help you understand the different tools of Data Science used by experts for Data Visualization, Model Building, and Data Manipulation.

Python 128
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Cybersyn Puts Detailed Data Sets at Decision-Makers’ Fingertips With Snowflake Native Apps

Snowflake

Your company collects huge amounts of data about everything from customer transactions to supplier contracts to system performance. This valuable resource becomes even more valuable when you combine it with data about financial market and economic trends, consumer spending, regional demographics and other elements that provide broader context and insights for your business decisions.

SQL 104
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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Building Pinterest’s new wide column database using RocksDB

Pinterest Engineering

Rajath Prasad, Senior Engineering Manager Pinterest serves more than 480M monthly users and has grown to be a global destination for visual inspiration. As Pinterest has grown, so have our storage requirements. In 2020, anticipating the growing needs of the business and to simplify our storage offerings, we decided to consolidate our different key-value systems in the company into a single unified service called KVStore.

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How Multimodality Makes LLM Alignment More Challenging

KDnuggets

The addition of multimodal abilities to ChatGPT via GPT-4 allows users to use images and text together, expanding its functions but posing new challenges. Aligning this mix of data demands careful curation and presents ethical considerations, requiring developers to obtain high-quality training data and navigate complex issues for ethical alignment.

IT 97

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Using Lightning AI Studio For Free

KDnuggets

Use Lightning AI Cloud IDE for free to experiment, train, and deploy your AI models.

Cloud 129
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CBAP Exam Preparation Best Practices + Techniques

Knowledge Hut

Obtaining the Certified Business Analysis Professional ( CBAP ) certification is just the first step towards excelling in the field of business analysis. To truly maximize the value of your certification, you need to understand how to put your knowledge into action. This blog is your definitive guide to optimizing your business analysis practices. We will explore the CBAP framework, roles, and responsibilities while emphasizing the importance of effective collaboration, data-driven insights, and

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Data Contracts and Data Observability: Whatnot’s Full Circle Journey to Data Trust

Monte Carlo

Over the last two years, data contracts have become one of most talked about (and hotly debated ) topics in data engineering. And like any new — and admittedly abstract — concept, there are several different definitions of data contracts floating around on LinkedIn , Medium , and Substack. We’ve already written an intro guide to data contracts. Now, let’s follow the fundamental principle of storytelling: show, don’t tell.

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Data Quality Trends for 2024

Precisely

The demand for trusted data is at an all-time high. This was made resoundingly clear in the 2023 Data Integrity Trends and Insights Report , published in partnership between Precisely and Drexel University’s LeBow College of Business, which surveyed over 450 data and analytics professionals globally. 77% of respondents cited data-driven decision-making as the leading goal of their data programs – but only 46% have “high” or “very high” trust in the data used for decision-making. 70% who struggle

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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The Pulse: Will US companies hire fewer engineers due to Section 174?

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 one out of four topics from today’s subscriber-only The Pulse issue. To get full issues twice a week, subscribe here.