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 140
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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 124
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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 88
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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 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 93
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Methods for generating synthetic descriptive data

Towards Data Science

Use various data source types to quickly generate text data for artificial datasets.

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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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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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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.

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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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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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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.

Data 40