Sat.May 25, 2024 - Fri.May 31, 2024

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Building cost effective data pipelines with Python & DuckDB

Start Data Engineering

1. Introduction 2. Project demo 3. TL;DR 4. Building efficient data pipelines with DuckDB 4.1. Use DuckDB to process data, not for multiple users to access data 4.2. Cost calculation: DuckDB + Ephemeral VMs = dirt cheap data processing 4.3. Processing data less than 100GB? Use DuckDB 4.4. Distributed systems are scalable, resilient to failures, & designed for high availability 4.5.

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Building Data Platforms (from scratch)

Confessions of a Data Guy

Of all the duties that Data Engineers take on during the regular humdrum of business and work, it’s usually filled with the same old, same old. Build new pipeline, update pipeline, new data model, fix bug, etc, etc. It’s never-ending. It’s a constant stream of data, new and old, spilling into our Data Warehouses and […] The post Building Data Platforms (from scratch) appeared first on Confessions of a Data Guy.

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How To Data Model – Real Life Examples Of How Companies Model Their Data

Seattle Data Guy

How companies data model varies widely. They might say they use Kimball dimensional modeling. However, when you look in their data warehouse the only part you recognize is the word fact and dim. Over the past near decade, I have worked for and with different companies that have used various methods to capture this data.… Read more The post How To Data Model – Real Life Examples Of How Companies Model Their Data appeared first on Seattle Data Guy.

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Infoshare 2024: Stream processing fallacies, part 1

Waitingforcode

Last week I was speaking in Gdansk on the DataMass track at Infoshare. As it often happens, the talk time slot impacted what I wanted to share but maybe it's for good. Otherwise, you wouldn't read stream processing fallacies!

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

Contractors today are navigating a market with increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in. It integrates these digital solutions into everyday workflows, turning raw data into actionable insights.

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Python Essentials for Data Engineers

Start Data Engineering

Introduction Data is stored on disk and processed in memory Running the code Run on Codespaces Run on your laptop Using python REPL Python basics Python is used for extracting data from sources, transforming it, & loading it into a destination [Extract & Load] Read and write data to any system [Transform] Process data in Python or instruct the database to process it [Data Quality] Define what you expect of your data and check if your data confirms it [Code Testing] Ensure your code does

Python 147
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Introducing the Robinhood Crypto Trading API

Robinhood

Robinhood Crypto customers in the United States can now use our API to view crypto market data, manage portfolios and account information, and place crypto orders programmatically Today, we are excited to announce the Robinhood Crypto trading API , ushering in a new era of convenience, efficiency, and strategy for our most seasoned crypto traders. Robinhood Crypto customers in the United States can use our new trading API to set up advanced and automated trading strategies that allow them to st

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Top SQL Queries for Data Scientists

KDnuggets

SQL seems like a data science underdog compared to Python and R. However, it’s far from it. I’ll show you here how you can use it as a data scientist.

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Introducing Salesforce BYOM for Databricks

databricks

Salesforce and Databricks are excited to announce an expanded strategic partnership that delivers a powerful new integration - Salesforce Bring Your Own Model.

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Snowflake Ventures Expands Investment in Sigma, Deepening Commitment to Bringing World-Class BI Directly into the AI Data Cloud

Snowflake

We’re excited to announce today that we’re reinforcing our commitment and deepening our partnership with Sigma with an expanded investment from Snowflake Ventures. Sigma is a leading business intelligence and analytics solution that makes it easy for employees to explore live data, create compelling visualizations and collaborate with colleagues. Sigma allows employees to break free of dashboards and build workflows, powered by write-back to Snowflake through their unique Input Tables capability

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What’s New in ArcGIS Roads and Highways and ArcGIS Pipeline Referencing (May 2024)

ArcGIS

The latest release of ArcGIS Roads and Highways and ArcGIS Pipeline Referencing includes a variety of new and enhanced features.

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Building Your BI Strategy: How to Choose a Solution That Scales and Delivers

Speaker: Evelyn Chou

Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.

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5 Free MIT Courses to Learn Math for Data Science

KDnuggets

Learning math is super important for data science. Check out these free courses from MIT to learn linear algebra, statistics, and more.

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How to Become a Python Full Stack Developer [Step-by-Step]

Knowledge Hut

In less than a decade, Python has become the most popular programming language in the world. It's used by major companies like Google and Facebook, and its versatility and ease of use make it a great choice for beginners too. We all know that Python is a powerful programming language. But did you know that it can also be used to create full-stack web applications?

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Retail Media’s Business Case for Data Clean Rooms Part 2: Commercial Models

Snowflake

In Part 1 of “Retail Media’s Business Case for Data Clean Rooms,” we discussed how to (1) assess your data assets and (2) define your data structures and permissions. Once you have a plan on paper, you can begin sizing the data clean room opportunity for your business. Step 3: Commercial Models to Unlock Revenue at Scale Modeling the business value comes down to two things: (1) What data are you making accessible; and (2) How many partners are you willing (and able) to engage?

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Solving the Dual-Write Problem: Effective Strategies for Atomic Updates Across Systems

Confluent

The dual-write problem can arise in any distributed system. Fortunately, it has solutions in event sourcing & the transactional outbox & listen-to-yourself patterns.

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Driving Responsible Innovation: How to Navigate AI Governance & Data Privacy

Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL

Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.

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5 Free Python Courses for Data Science Beginners

KDnuggets

Are you a data science beginner looking to learn Python? Start learning today with these 5 free courses.

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Importance of Software Engineering: Key Reasons

Knowledge Hut

A software engineer studies, designs, develops, maintains, and retires Software. That’s why in almost every organization, there is a need for a software engineer. And this somehow raises the importance of software engineering today. Though it deals with different areas and serves many functions, educating the software engineer about best software practices and discipline is necessary.

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Social Impact Using Data and AI: Revealing the 2024 Finalists for the Data For Good Award

databricks

The annual Data Team Awards celebrate the critical contributions of data teams to various sectors, spotlighting their role in driving progress and positive.

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Robinhood Announces $1 Billion Share Repurchase Program

Robinhood

The board of directors of Robinhood Markets, Inc. (“Robinhood”) (NASDAQ: HOOD) has authorized a $1 billion share repurchase program, demonstrating management and the board’s confidence in Robinhood’s financial strength and future growth prospects. “As our business and cash flow have continued to grow, we’re excited to announce a $1 billion share repurchase program to return value to shareholders,” said Jason Warnick, Chief Financial Officer of Robinhood.

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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

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How to Use GPT for Generating Creative Content with Hugging Face Transformers

KDnuggets

Read this concise tutorial to find out how to use GPT to generate creative content with Hugging Face Transformers. No nonsense, just that facts.

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Bringing Financial Services Business Use Cases to Life: Leveraging Data Analytics, ML/AI, and Gen AI

Cloudera

The financial services industry is undergoing a significant transformation, driven by the need for data-driven insights, digital transformation, and compliance with evolving regulations. In this context, Cloudera and TAI Solutions have partnered to help financial services customers accelerate their data-driven transformation, improve customer centricity, ensure compliance with regulations, enhance risk management, and drive innovation.

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Introduction to the Export Attachments geoprocessing tool

ArcGIS

Learn about the new Export Attachments geoprocessing tool in ArcGIS Pro 3.3 and how it simplifies the process of exporting attachments.

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Orchestrating a Dynamic Time-series Pipeline with Azure Data Factory and Databricks

Towards Data Science

Explore how to build, trigger and parameterize a time-series data pipeline in Azure, accompanied by a step-by-step tutorial Continue reading on Towards Data Science »

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What Is Entity Resolution? How It Works & Why It Matters

Entity Resolution Sometimes referred to as data matching or fuzzy matching, entity resolution, is critical for data quality, analytics, graph visualization and AI. Learn what entity resolution is, why it matters, how it works and its benefits. Advanced entity resolution using AI is crucial because it efficiently and easily solves many of today’s data quality and analytics problems.

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Google Have Just Dropped a New Course: AI Essentials

KDnuggets

A course that helps career switchers and advancers harness the power of AI to transform the way they work.

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Data Engineering Weekly #173

Data Engineering Weekly

Luke Byrne: Questions About AI Is AI all about hype? What do humans spend their time on in a post-AGI world? There are many burning questions from our readers, too, and the author did an amazing compilation of some of the widely discussed questions around AI development. What is your burning question about AI? [link] Chris Riccomini: S3 Is Showing Its Age Building a global scale distributed system with eleven 9s of durability and four 9s of availability is no easy feat.

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What’s New from the Geodatabase Team in ArcGIS Pro 3.3

ArcGIS

Here's everything new in ArcGIS Pro 3.3 from the Geodatabase Team.

Data 130
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From Data to Destinations: How Skyscanner Optimizes Traveler Experiences with Databricks Unity Catalog

databricks

This blog is authored by Michael Ewins, Director of Engineering at Skyscanner At Skyscanner , we're more than just a flight search engine.

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How To Speak The Language Of Financial Success In Product Management

Speaker: Jamie Bernard

Success in product management goes beyond delivering great features - it’s about achieving measurable financial outcomes that resonate across the organization. By connecting your product’s journey with the company’s financial success, you’ll ensure that every feature, release, and innovation contributes to the bottom line, driving both customer satisfaction and business growth.

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5 Best End-to-End Open Source MLOps Tools

KDnuggets

Explore free and open-source MLOps tools for enhanced data privacy and control over your models and code.

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Future-Proof Your IBM AIX and IBM i Systems with Cloud-Based Data Protection

Precisely

Key Takeaways: Cloud-based High Availability Disaster Recovery (HA-DR) solutions enhance operational efficiency, leveraging automation to streamline recovery processes and reduce downtime expenses. Adopting unique cloud HA-DR strategies improves data redundancy and security, aligns with strict regulatory standards, and proactively manages disaster risks.

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Best Practices for Confluent Terraform Provider

Confluent

You can improve CC Terraform by employing best practices for organization (e.g., split state files), coding (consistent naming), security (enforced configs) & more.

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Empowering Data Teams with Snowplow for First-Party Digital Event Data Collection

databricks

With more and more customer interactions moving into the digital domain, it's increasingly important that organizations develop insights into online customer behaviors. In.

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Enhance Customer Value: Unleash Your Data’s Potential

The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. With Logi Symphony, we aim to turn these challenges into opportunities. Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights.