Sat.Jul 08, 2023 - Fri.Jul 14, 2023

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4 Ways Automation Helps Data Engineering Teams

Monte Carlo

This is a guest post from our friends over at Satori Cyber. Data-driven organizations generate, collect, and store vast amounts of data. To effectively manage and analyze this data, data engineering teams must navigate a wide range of challenges, including data access, security, compliance, and data observability. Automation is a missing link in many organizations’ efforts toward data operationalization.

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The Pulse: VanMoof files for bankruptcy protection

The Pragmatic Engineer

👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. We cover one out of six topics in today’s subscriber-only The Pulse issue. If you’re not yet a full subscriber, you missed this week’s deep-dive on Software architect archetypes. To get the full issues, twice a week, subscribe here. Before we start, a small change.

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Berlin Buzzwords 2023 - notes for data engineers

Waitingforcode

That's the conference I've heard only recently about. What a huge mistake! Despite the lack of "data" word in the name, it covers many interesting data topics and before I share with you my notes from this year's Data+AI Summit, let me do the same for Berlin Buzzwords!

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Reduce Friction In Your Business Analytics Through Entity Centric Data Modeling

Data Engineering Podcast

Summary For business analytics the way that you model the data in your warehouse has a lasting impact on what types of questions can be answered quickly and easily. The major strategies in use today were created decades ago when the software and hardware for warehouse databases were far more constrained. In this episode Maxime Beauchemin of Airflow and Superset fame shares his vision for the entity-centric data model and how you can incorporate it into your own warehouse design.

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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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What Is Change Data Capture

Seattle Data Guy

Some data teams need to have their data near real-time for dashboards and reporting. So how can they implement a near real-time data pipeline? One possible choice is a method called change data capture, also known as CDC. I have seen companies employ multiple ways to use CDC or CDC-like approaches to pull data from… Read more The post What Is Change Data Capture appeared first on Seattle Data Guy.

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Data News — Week 23.27

Christophe Blefari

Who's leading the data peloton? ( credits ) Hey you, this is the Saturday Data News edition 🥲 Time flies. I'm working for the Series of articles in advance for August about "creating data platforms" and I'm looking for ideas about the data I could use for this. Having some kind of simulated real-time data would be the best.

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More Trending

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Synthetic Data Platforms: Unlocking the Power of Generative AI for Structured Data

KDnuggets

The article highlights various use cases of synthetic data, including generating confidential data, rebalancing imbalanced data, and imputing missing data points. It also provides information on popular synthetic data generation tools such as MOSTLY AI, SDV, and YData.

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Snowflake’s Performance Optimizations Help ESO Reduce Costs by 60%

Snowflake

ESO is the largest software and data solutions provider to emergency medical services (EMS) agencies and fire departments in the U.S. With a mission to improve community health and public safety through the power of data, ESO makes software that helps save lives. If you call 911 and a fire or medical team responds, it’s likely they’re using ESO software to make sure you get the right help fast.

Medical 92
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Reality – What is it good for?

ArcGIS

Reality for ArcGIS Pro products power countless real-world applications in operational environments, and enable well informed decisions.

IT 98
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Complete Personalization, Complete Control: The Composable CDP

databricks

In a crowded retail marketplace, organizations increasingly compete for consumer time, attention and spend. Gone are the days where broadstroke advertisements and bulk.

Retail 82
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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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Exploring Tree of Thought Prompting: How AI Can Learn to Reason Through Search

KDnuggets

New approach represents problem-solving as search over reasoning steps for large language models, allowing strategic exploration and planning beyond left-to-right decoding. This improves performance on challenges like math puzzles and creative writing, and enhances interpretability and applicability of LLMs.

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Building a maintainable and modular LLM application stack with Hamilton

Towards Data Science

Building a maintainable and modular LLM application stack with Hamilton in 13 minutes LLM Applications are dataflows, use a tool specifically designed to express them LLM stacks. Using the right tool, like Hamilton, can sure your stack doesn’t become a pain to maintain and manage. Image from pixabay. This post is written in collaboration with Thierry Jean and originally appeared here.

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Data evaluation

InData Labs

Data is the world’s most valuable resource, so businesses’ investments in analysis are rising. However, many organizations overlook the importance of data evaluation, hindering the accuracy of their artificial intelligence (AI) models and other initiatives. In today’s environment, every business is becoming a data science company in some capacity. Amid that shift, organizations must make.

Data 75
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From Hive Tables to Iceberg Tables: Hassle-Free

Cloudera

Introduction For more than a decade now, the Hive table format has been a ubiquitous presence in the big data ecosystem, managing petabytes of data with remarkable efficiency and scale. But as the data volumes, data variety, and data usage grows, users face many challenges when using Hive tables because of its antiquated directory-based table format.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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Docker Tutorial for Data Scientists

KDnuggets

Interested in learning Docker for data science? Learn the basics of Docker and containerize data science apps in minutes.

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Announcing Public Preview of Volumes in Databricks Unity Catalog

databricks

At the Data and AI Summit 2023, we introduced Volumes in Databricks Unity Catalog. This feature enables users to discover, govern, process, and.

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Streamlining Azure VM Performance While Slashing Costs: Proven Strategies for Optimal Efficiency

Towards Data Science

Techniques for minimizing costs while not compromising efficiency Continue reading on Towards Data Science »

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How to design and animate a globe in ArcGIS Pro with Living Atlas content

ArcGIS

Here is a walk-through for creating spinning globe animations in ArcGIS Pro, like the ones you may have seen in the UC plenary

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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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Will 300 million Jobs really be Exposed or Lost to AI Replacement?

KDnuggets

The authors of the Goldman Sachs report suggest that 300 million jobs might be affected by AI replacement. Here’s why reason to be both cautious and hopeful.

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FAQ: 5 Key Questions To Understand Retail Media Networks

Mutt Data

Retail Media Networks 101: 5 Essential FAQs Answered Retail Media Networks (RMNs) are reshaping the landscape of digital advertising. Both retailers and advertisers are increasingly finding themselves using these platforms. We thought it was as good a time as any to dive into what RMNs are, what sets them apart, and the key components you should look out for when building one.

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How to Streamline Communication in Data Pipelines Using Mage

Towards Data Science

Let the bot handle difficult communications for us Continue reading on Towards Data Science »

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HTML Best Practices

Knowledge Hut

HTML operates as the foundation for websites, giving structure and defining the content that appears on the web. Best practices must increase code quality, user experience, and development speed to maximize this flexible language's potential. Finding the best HTML course online is essential if you want to master HTML or hone your existing skills.

Media 52
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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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Database Optimization: Exploring Indexes in SQL

KDnuggets

Learn about Indexing in SQL and how you can increase the retrieval speed of the SELECT queries and WHERE clauses.

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FAQ: 5 Key Questions To Understand Retail Media Networks

Mutt Data

Retail Media Networks 101: 5 Essential FAQs Answered Retail Media Networks (RMNs) are reshaping the landscape of digital advertising. Both retailers and advertisers are increasingly finding themselves using these platforms. We thought it was as good a time as any to dive into what RMNs are, what sets them apart, and the key components you should look out for when building one.

Media 52
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Harnessing the Power of Knowledge Graphs: Enriching an LLM with Structured Data

Towards Data Science

A step-by-step guide to creating a knowledge graph and exploring its potential to enhance an LLM Continue reading on Towards Data Science »

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What Is Cloud Computing & How Does It Work?

Knowledge Hut

Cloud technology was the brainchild of two IT geniuses: John McCarthy and J.C.R. Licklider. Almost half a century has passed, and the cloud has become vital to all individuals and businesses. However, most people are unaware of how cloud computing works! If you, too, are one of those people, today we will add a big chunk of information about the cloud to your knowledge so that you can be aware of cloud computing and how it works!

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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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A Practical Approach To Feature Engineering In Machine Learning

KDnuggets

This article discussed the importance of feature learning in machine learning and how it can be implemented in simple, practical steps.

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Google Sheets to Firebolt: 2 Easy Ways to Integrate Data

Hevo

Wouldn’t you like to uncover the full potential of your Google Sheets data with real-time analytics and actionable insights? This is where Firebolt, a game-changing analytics platform designed to provide you with insights at lightning speed, will be helpful.

Data 52
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IT Consulting: Breaking the Conventional Paradigm

FreshBI

Utilizing consulting agencies can be a game-changer for organizations, propelling their internal success by leveraging data-driven insights to inform strategic decisions. Despite this, traditional consulting practices have often created a negative perception of the business consulting industry, casting a shadow over its potential benefits. FreshBI is directly disrupting the current landscape and shining a new light on the realm of consulting.

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Cloud Computing in Banking Industry: Benefits, Applications, Challenges and More

Knowledge Hut

Cloud computing is steadily paving its way into every industry. While an increasing number of businesses are adapting to cloud services, one industry is taking the time to adopt the concept on a holistic level: the banking sector. Cloud computing for banks enhances every aspect of the banking sector, from security to customer experience, making it a future-proof solution.

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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.