Mon.Mar 20, 2023

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What's new on the cloud for data engineers - part 9 (01-03.2023)

Waitingforcode

Have you missed any cloud data engineering-related news in the last 3 months? No worries, I got you covered with the new part of the "What's new on the cloud for data engineers." series.

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AWS Lambdas. Useful for Data Engineering?

Confessions of a Data Guy

Are lambdas one of those tools that everyone uses and no one talks about? I guess I’ve taken them for granted over the years, even though they are incredibly useful. For a lot of my Data Engineering career I didn’t really think about or use AWS lambdas, I just saw them as little annoying flies […] The post AWS Lambdas. Useful for Data Engineering?

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Fine-Tuning Large Language Models with Hugging Face and DeepSpeed

databricks

Large language models (LLMs) are currently in the spotlight following the sensational release of ChatGPT. Many are wondering how to take advantage of.

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Top Posts March 13-19: GPT-4: Everything You Need To Know

KDnuggets

GPT-4: Everything You Need To Know • 4 Ways to Generate Passive Income Using ChatGPT • OpenChatKit: Open-Source ChatGPT Alternative • 5 Free Tools For Detecting ChatGPT, GPT3, and GPT2 • ChatGPT for Data Science Cheat Sheet

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Beyond Web Mercator: Building basemaps in different projections

ArcGIS

Using ArcGIS Pro to build 'Human Geography' style vector basemaps in different projections, for use in ArcGIS Online

Project 102
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7 Must-Know Python Tips for Coding Interviews

KDnuggets

Preparing for your next Python coding interview? Here’s a list of useful tips that’ll come in handy and help you write Pythonic code.

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More Trending

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Learn About Large Language Models

KDnuggets

An introduction to Large Language Models, what they are, how they work, and use cases.

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Create MySQL and Postgres instances using AWS Cloudformation

Towards Data Science

Infrastructure as Code for database practitioners Continue reading on Towards Data Science »

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3 Ways to Merge Pandas DataFrames

KDnuggets

Combine Pandas data frames using the merge, join, and concatenate operations.

Data 101
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What I Learned at Data in Motion Tour, Boston—And What You Missed

Confluent

Attendants came away with tips on meeting business goals with streaming data, leveraging real-time data, enabling customer360, benefits of fully-managed Kafka, and best practices for fueling real-time use cases

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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Gaussian Naive Bayes, Explained

KDnuggets

Learn how Gaussian Naive Bayes works and implement it in Python.

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Spotlight: Managing Storage, Reducing Costs

Ascend.io

As I’ve written in articles before, data is “heavy” in that it costs money to move around, process, and extract value out of. Some emerging features in Ascend address the source of these costs, with some incredible side benefits. Let’s get into it. Pinpoint Storage Location for BigQuery For many customers, data location requirements are often driven by regulation and data mesh strategies.

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How XLRI Certification Will Help in Boosting Your Career?

Edureka

Whether a person is employed or yet to start working, there is always the search for good employment. It doesn’t stop until people have settled into a job they like the most or when they retire. A job doesn’t just earn you a good salary. It also gives people the satisfaction of having achieved something. Employees are happier about being useful to the firm than getting a high salary.

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Spotlight: Managing Storage, Reducing Costs

Ascend.io

As I’ve written in articles before, data is “heavy” in that it costs money to move around, process, and extract value out of. Some emerging features in Ascend address the source of these costs, with some incredible side benefits. Let’s get into it. Pinpoint Storage Location for BigQuery For many customers, data location requirements are often driven by regulation and data mesh strategies.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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9 Top Trends That Will Revolutionize the Future of Marketing Analytics

Hevo

Can you predict the future? Oh, it’s tough, especially in this era of unprecedented socioeconomic changes. But, when it comes to marketing analytics, it is possible to analyze the current trends and predict the future. The current trends enable businesses to use data to support business objectives and strategies.

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Using the Cloud to Protect Mission-Critical Workloads

Precisely

Cloud computing offers a wide range of new use cases for IBM shops. Following the dramatic increase in remote work following the COVID-19 pandemic, the shift toward IBM i in the cloud has gained momentum. In addition to the inherent flexibility that a cloud solution has to offer, this has opened up a host of new scenarios to support high availability (HA) and disaster recovery (DR).

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5 Reasons Why You Need Data Products | Acceldata Blogs

Acceldata

Modern enterprises need data products to drive new revenue channels and optimize operations.

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DHL Hub in Leipzig Delivers Substantial Time and Cost Efficiencies With Snowflake’s Data Cloud 

Snowflake

DHL Express ships parcels between almost every country in the world through its hub in Leipzig, Germany. Hub Development Manager Andre Wittfoth explains how the company uses Snowflake’s Data Cloud to make sense of up to 80 million data events each day. At the core of its business, DHL Express provides one of the world´s largest mail and parcel services.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.