Tue.Jun 13, 2023

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How to become a valuable data engineer

Start Data Engineering

1. Introduction 2. Skills 2.1. Business Impact 2.1.1. Know your business 2.1.2. Money & Time 2.2. Technical skills 3. Build impactful projects 4. Conclusion 5. Further reading 1. Introduction So you are a new data engineer (or looking for a DE job) and want to better yourself as a data engineer. However, when you look at job postings or company tech stack, you are overwhelmed by the sheer amount of tools you have to learn!

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The Effects of ChatGPT in Schools and Why It’s Getting Banned

KDnuggets

Many schools are banning ChatGPT for plagiarism, accuracy and privacy concerns. However, the chatbot could help students and teachers with the right application.

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Introducing the Well-Architected Data Lakehouse from Databricks

databricks

To provide customers with a framework for planning and implementing their data lakehouse, we are pleased to announce that we have recently published.

Data 92
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Meet Gorilla: UC Berkeley and Microsoft’s API-Augmented LLM Outperforms GPT-4, Chat-GPT, and Claude

KDnuggets

The model is augmented with APIs from Torch Hub, TensorFlow Hub and HuggingFace.

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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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ANZ Bank’s Advances Data-Driven Analytics With Cloudera

Cloudera

Australia and New Zealand Banking Group (ANZ), one of Australia’s Big Four banks and one of New Zealand’s top banks, offers commercial and retail banking and financial services from more than 1,100 branches and offices. The bank offerings include standard deposit and lending services, credit cards, wealth management, agribusiness finance and insurance, and foreign exchange services for other financial institutions.

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It’s alive! Build your first robots with Python and some cheap, basic components

KDnuggets

In this guide, you’ll build some fun robotic toys that will teach you serious robotics engineering skills like computer vision, networking, and computation.

More Trending

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Big Data Analytics: Why Is It So Crucial For Business Intelligence?

KDnuggets

Understand the relationship between big data and business intelligence.

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Meet Caroline, Our June 2023 Confluent Champion

Confluent

Meet Caroline Staudenraus—Account Executive in Confluent’s digital native commercial segment. FInd out how she has made a difference at Confluent since she joined in 2018.

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The Profiles Handbook: Models in Profiles

RudderStack

An overview of the building blocks of a RudderStack Profiles project – models. Learn the different types of models and how they fit into the Profiles ecosystem.

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Rule Sets for Data Reliability

Acceldata

Learn how to create and manage rules and rule sets to establish and manage data reliability at scale.

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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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ArcGIS Aviation at the 2023 Esri User Conference

ArcGIS

Learn about Esri User Conference activities of interest to the aviation community.

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Inside Agoda’s Private Cloud - Exclusive

The Pragmatic Engineer

👋 Hi, this is Gergely with the monthly, free issue of the Pragmatic Engineer Newsletter. In every issue, I cover challenges at Big Tech and startups through the lens of engineering managers and senior engineers. If you’re not a subscriber, you missed the issue on Shopify’s leveling split and a few others. Subscribe to get two full issues every week.

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Migrating Critical Traffic At Scale with No Downtime?—?Part 2

Netflix Tech

Migrating Critical Traffic At Scale with No Downtime — Part 2 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Picture yourself enthralled by the latest episode of your beloved Netflix series, delighting in an uninterrupted, high-definition streaming experience. Behind these perfect moments of entertainment is a complex mechanism, with numerous gears and cogs working in harmony.

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Deep Multi-task Learning and Real-time Personalization for Closeup Recommendations

Pinterest Engineering

Haomiao Li | Software Engineer, Closeup Ranking & Blending; Travis Ebesu | Software Engineer, Closeup Ranking & Blending; Fan Jiang | Software Engineer, Closeup Candidates; Jay Adams | Software Engineer, Pinner Growth & Signals; Olafur Gudmundsson | Software Engineer, Pinner Discovery; Yan Sun | Engineering Manager, Closeup Ranking & Blending; Huizhong Duan | Engineering Manager, Closeup Relevance Introduction At Pinterest, Closeup recommendations (aka Related Pins) is typically

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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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Snowflake’s Data Cloud Provides tesa With Actionable Performance Insights For Faster Speed-To-Market

Snowflake

Learn how tesa, one of the world’s leading manufacturers of adhesive tapes and self-adhesive product solutions, combines more than 30 datasets to improve operations and take advantage of IoT technology – all through Snowflake’s Data Cloud. As one of the world’s leading manufacturers of self-adhesive product solutions, tesa knows the importance of maintaining the quality of its 7,000 products.

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