Tue.Aug 22, 2023

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How Games Typically Get Built

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 for topics from the past newsletter issue Game Development Basics. To get the full issues, twice a week, subscribe here.

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ELT vs ETL: Unveiling the Differences and Similarities

Analytics Vidhya

Introduction In today’s data-driven world, seamless data integration plays a crucial role in driving business decisions and innovation. Two prominent methodologies have emerged to facilitate this process: Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT). In this article, we will discuss ELT vs ETL, comparing their characteristics, benefits, and suitability for various use cases. […] The post ELT vs ETL: Unveiling the Differences and Similarities appeared first on Ana

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Table file formats - commits: Delta Lake

Waitingforcode

One of the great features of modern table file formats is the ability to handle write conflicts. It wouldn't be possible without commits that are the topic of this new blog post.

IT 130
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Top 5 questions Data Engineers should ask before joining a startup

Towards Data Science

Advice from a startup founder in the data space on how to find a startup that works for you Photo by Leeloo Thefirst from Pexels.com So you want to join a startup huh? I’m not talking about a fancy Series E startup that’s about to go IPO funded by a16z. I’m talking about a real startup, from seed to series B — where every day can feel like you’re either about to soar or crash and burn — and there’s little in between.

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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 make this animated map of blue whale migration

ArcGIS

Animal migration data is a treat, and an honor, to work with. Here's how you can make an animation of these amazing journeys.

Data 98
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ThoughtSpot’s new In-App Support empowers data confidence for all users

ThoughtSpot

In the past, it was commonly believed that only administrators or designated support contacts benefited from live product support. But that shortsighted view fails to acknowledge the reality that every user—be you an occasional business user, tenured analyst, or in-the-weeds IT administrator—can encounter roadblocks and require assistance. That's why our new In-App Support is available to all users worldwide, regardless of their role.

Data 80

More Trending

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Airflow 2.7 Is Now Out

Towards Data Science

Here are the most important feature updates that will make your life easier and save you time Continue reading on Towards Data Science »

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Leveraging XGBoost for Time-Series Forecasting

KDnuggets

Enabling the powerful algorithm to forecast from your data.

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How to Automate PySpark Pipelines on AWS EMR With Airflow

Towards Data Science

Optimising big data workflows orchestration Continue reading on Towards Data Science »

AWS 89
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Monte Carlo’s Newest Feature Optimizes Data Product Performance and Cost

Monte Carlo

Slow running data pipelines cost data teams time, money, and goodwill. They utilize excess compute, cause data quality issues, and create a poor user experience for data consumers that must wait in exasperation for data to return, dashboards to load, and AI models to update. While it’s not difficult to identify long-running queries, it is much more challenging to identify the queries that are unnecessarily long and determine the root cause.

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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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Snowflake: Amazon S3-compatible Storage with Cloudflare

Cloudyard

Read Time: 3 Minute, 18 Second In a recent development, Snowflake has announced the general availability of a new feature i.e. “ Accessibility to data in Amazon S3-compatible storage” This exciting addition enables you to create external stages for various cloud storage services and devices that are highly and seamlessly compliant with the Amazon S3 REST API standards.

Bytes 52
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Life Happens in Real Time, Not in Batches: The Business Value of Real-Time Streaming

Confluent

Discover how Sumit Pal, former Gartner VP Research Analyst, thinks modern enterprises should use real-time streaming data and data streaming platforms to drive business value and stay several steps ahead of their competitors.

Data 52
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Learn MLOps Basics with This Free eBook

KDnuggets

Learn about the basics of MLOps with this free ebook you can download right now.

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Long Live Data Products! Understand the 4 Stages of the Data Product Lifecycle

Snowflake

“The future is what you make it,” declared Sheila Jordan , Chief Digital Technology Officer at Honeywell, in the opening keynote of this year’s Snowflake Summit keynote. One way Honeywell “makes the future” is by developing innovative data products. For example, by combining its inflation index with its pricing application, Honeywell was able to consider inflation-adjusted pricing, which had a significant impact on the business.

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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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Brewing a Domain-Specific LLM Potion

KDnuggets

Make your LLM an expert in your field.

Process 88
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Automated Data Pipelines: What You Need to Know

Ascend.io

Businesses are in a continuous race to harness data as a powerful propellant for innovation. Yet, the task of efficient and prompt data delivery remains a challenge. The demands of building, scaling, and maintaining data pipelines have grown increasingly complex and error-prone. Data engineers are now drowning in repetitive tasks, aspiring to drive data-backed decisions.