Sat.Aug 26, 2023 - Fri.Sep 01, 2023

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MSSQL vs MySQL: Comparing Powerhouses of Databases

Analytics Vidhya

Introduction In the bustling arena of database management systems, two heavyweight contenders emerge, each carrying its arsenal of features and capabilities. In one corner, we have the suave and sophisticated Microsoft SQL Server (MSSQL), donned in the elegance of enterprise-level prowess. And in the other corner the scrappy and open-source MySQL, armed with its community-driven […] The post MSSQL vs MySQL: Comparing Powerhouses of Databases appeared first on Analytics Vidhya.

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Data News — Week 23.35

Christophe Blefari

Back to school ( credits ) Hey, I'm back. I've taken an unplanned 3-week break since the last Data News, let's be honest, it was necessary! I spent a few hours working on the fancy data stack project and articles are in the works, but it was idealistic to produce quality code and content while enjoying the summer. Like wine, it takes time to get it right.

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Table file formats - isolation levels: Delta Lake

Waitingforcode

If Delta Lake implemented the commits only, I could stop exploring this transactional part after the previous article. But as for RDBMS, Delta Lake implements other ACID-related concepts. One of these are isolation levels.

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Building An Internal Database As A Service Platform At Cloudflare

Data Engineering Podcast

Summary Data persistence is one of the most challenging aspects of computer systems. In the era of the cloud most developers rely on hosted services to manage their databases, but what if you are a cloud service? In this episode Vignesh Ravichandran explains how his team at Cloudflare provides PostgreSQL as a service to their developers for low latency and high uptime services at global scale.

Database 130
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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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The Burtch Works 2023 Data Science & AI Professionals Salary Report is Here!

KDnuggets

The Burtch Works 2023 Data Science & AI Professionals salary report is here, and includes insightful data such as hiring and marketplace trends, compensation changes over time, and salary data. Get your copy here.

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Activating Data from the Lakehouse: Databricks Ventures Invests in Hightouch

databricks

It’s no secret that modern organizations are doubling down on their investments in data - investments that uncover deep customer insights that provide a.

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More Trending

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Snowflake and Instacart: The Facts

Snowflake

In the past few days, the scope and trajectory of Instacart’s use of Snowflake has been misrepresented by some on social media. Snowflake has partnered closely with Instacart to scale up to meet the company’s massive demand growth, and then to optimize for efficiency. Optimizations are undertaken on a workload-by-workload basis, and have been extremely successful.

Media 115
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KDnuggets News, August 30: 7 Projects Built with Generative AI • Beyond Numpy and Pandas: Lesser-Known Python Libraries

KDnuggets

7 Projects Built with Generative AI • Beyond Numpy and Pandas: Unlocking the Potential of Lesser-Known Python Libraries • 5 Ways You Can Use ChatGPT’s Code Interpreter For Data Science • GPT-4: 8 Models in One; The Secret is Out

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Robinhood Announces Purchase of Shares Previously Owned by Emergent Fidelity Technologies

Robinhood

Robinhood Markets. Inc. (Nasdaq:HOOD) today announced that it has successfully purchased all 55,273,469 shares Earlier this year, we shared that our Board of Directors authorized us to pursue purchasing most or all of the 55 million remaining Robinhood shares that Emergent Fidelity Technologies, Ltd. had bought in May 2022. The proposed share purchase underscored the confidence that the Board of Directors and management team have in our business and the success of this effort is another step in

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Take branch versioned data offline with feature service sync capability

ArcGIS

Learn how to prepare branch versioned data for offline use using ArcGIS Pro, make edits in a disconnected environment, and synchronize.

Data 112
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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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How to Create an Amazon Price Tracker Service Using Python?

Workfall

Reading Time: 12 minutes Hey there, shopping savvy! Ever wished you could magically know when your favorite Amazon items go on sale? Guess what – we’ve cracked the code! Learn how to build your very own Amazon Price Tracker using Python. Imagine getting alerts right in your inbox when prices drop. Let’s dive in and make those savings dreams come true!

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5 Skills All Marketing Analytics and Data Science Pros Need Today

KDnuggets

Join us at the MADS conference in Washington, D.C., from Sept. 26 to 28, 2023. Learn more here and register with code KDN100 for $100 of your conference pass.

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Robinhood Wallet Adds Support for Bitcoin and Dogecoin, and Enables Ethereum Swaps

Robinhood

Bitcoin and Dogecoin support is now available to all Robinhood Wallet users, and in-app Ethereum Swaps started rolling out today Since launching to the general public nearly six months ago, Robinhood Wallet has seen significant adoption globally, with hundreds of thousands of users in more than 140 countries worldwide. We are always gathering feedback, and have heard loud and clear that people want access to more coins on more chains.

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Celebrating Excellence: Kora wins ‘Best Industry Paper’ at 2023 VLDB Conference

Confluent

Learn how Confluent’s cloud-native Apache Kafka engine stood out from other data management systems with its uniquely elastic, reliable, and cost-efficient design

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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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Efficient Fine-Tuning with LoRA: A Guide to Optimal Parameter Selection for Large Language Models

databricks

With the rapid advancement of neural network-based techniques and Large Language Model (LLM) research, businesses are increasingly interested in AI applications for value.

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Build Your Own PandasAI with LlamaIndex

KDnuggets

Learn how to leverage LlamaIndex and GPT-3.5-Turbo to easily add natural language capabilities to Pandas for intuitive data analysis and conversation.

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Scheduling Jupyter Notebooks at Meta

Engineering at Meta

At Meta, Bento is our internal Jupyter notebooks platform that is leveraged by many internal users. Notebooks are also being used widely for creating reports and workflows (for example, performing data ETL ) that need to be repeated at certain intervals. Users with such notebooks would have to remember to manually run their notebooks at the required cadence – a process people might forget because it does not scale with the number of notebooks used.

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Geospatial Data Engineering: Spatial Indexing

Towards Data Science

Optimizing queries, improving runtimes, and geospatial data science applications Photo by Tamas Tuzes-Katai on Unsplash Intro: why is a spatial index useful? In doing geospatial data science work, it is very important to think about optimizing the code you are writing. How can you make datasets with hundreds of millions of rows aggregate or join faster?

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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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The Simplification of AI Data

databricks

Talk to any data science organization and they will almost unanimously tell you that the biggest challenge to building high quality AI models.

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How to Digest 15 Billion Logs Per Day and Keep Big Queries Within 1 Second

KDnuggets

This article describes a large-scale data warehousing use case to provide reference for data engineers who are looking for log analytic solutions. It introduces the log processing architecture and real-case practice in data ingestion, storage, and queries.

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Introducing Confluent Platform 7.5

Confluent

Confluent Platform 7.5 brings SSO for Control Center, simplified interface with Confluent using v3 of the REST proxy API, and bidirectional Cluster Linking.

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Why We Built Our Feature Store in Snowflake’s Snowpark (And Moved Away From SQL)

Monte Carlo

Every data science team has that moment where it realizes it has outgrown its initial architecture. That moment came quickly for our team and our SQL-based feature store. Within a few years our organization had scaled from supporting dozens to hundreds of clients, each of whom seemed to require different feature requests for more advanced use cases.

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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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Optimizing Promotional Offers using Causal Machine Learning

databricks

Many companies offer their clients promotional offers to close deals, renew subscriptions, or purchase services. These incentives carry costs for the seller in.

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Who Will Make Money from the Generative AI Gold Rush?

KDnuggets

Buckle up for the Generative AI gold rush! Will BigTech rule with its picks and shovels? Which startups will strike it rich? Will “copilot for X” be the business strategy to hit pay dirt? How can startups dig moats to keep out other prospectors? And will the US once again have the richest gold seams?

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Flink in Practice: Stream Processing Use Cases for Kafka Users

Confluent

Apache Flink can be used for multiple stream processing use cases. Learn how developers can use Flink to build real-time applications, run analytical workloads or build real-time pipelines.

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ETL vs ELT vs Streaming ETL

Towards Data Science

Exploring batch and real-time design paradigms for data processing Continue reading on Towards Data Science »

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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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Getting started with generative AI in healthcare and life sciences

databricks

The explosive growth of ChatGPT has influenced every industry to reexamine their artificial intelligence (AI) strategies. While healthcare & life sciences has been.

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The Ultimate Guide to Mastering Seasonality and Boosting Business Results

KDnuggets

This post discusses the importance of media mix modeling and how it can be used to maximize the business impact of advertising. It also discusses the impact of seasonality on media advertising and how media mix modeling can be used to minimize the impact of seasonality on business outcomes.

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Join the Excitement at Current 2023: Unmissable Keynotes and 5 Must-Attend Sessions

Confluent

Get a sneak peak into what awaits you at Current 2023—featuring captivating keynotes, must-attend sessions, networking opportunities, and much more.

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[O’Reilly Book] Chapter 1: Why Data Quality Deserves Attention Now

Monte Carlo

Raise your hand (or spit out your coffee, sigh deeply, and shake your head) if this scenario rings a bell. Data is a priority for your CEO, as it often is for digital-first companies, and she is fluent in the latest and greatest business intelligence tools. Your CTO is excited about migrating to the cloud, and constantly sends your team articles highlighting performance measurements against some of the latest technologies.

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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.