June, 2024

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Data Engineering Projects

Start Data Engineering

1. Introduction 2. Run Data Pipelines 2.1. Run on codespaces 2.2. Run locally 3. Projects 3.1. Projects from least to most complex 3.2. Batch pipelines 3.3. Stream pipelines 3.4. Event-driven pipelines 3.5. LLM RAG pipelines 4. Conclusion 1. Introduction Whether you are new to data engineering or have been in the data field for a few years, one of the most challenging parts of learning new frameworks is setting them up!

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What I’ve Learned After A Decade Of Data Engineering

Confessions of a Data Guy

After 10 years of Data Engineering work, I think it’s time to hang up the proverbial hat and ride off into the sunset, never to be seen again. I wish. Everything has changed in 10 years, yet nothing has changed in 10 years, how is that even possible? Sometimes I wonder if I’ve learned anything […] The post What I’ve Learned After A Decade Of Data Engineering appeared first on Confessions of a Data Guy.

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Infoshare 2024 - Retrospective

Waitingforcode

Last May I gave a talk about stream processing fallacies at Infoshare in Gdansk. Besides this speaking experience, I was also - and maybe among others - an attendee who enjoyed several talks in software and data engineering areas. I'm writing this blog post to remember them and why not, share the knowledge with you!

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Deploying Machine Learning Models: A Step-by-Step Tutorial

KDnuggets

Image by author Model deployment is the process of trained models being integrated into practical applications. This includes defining the necessary environment, specifying how input data is introduced into the model and the output produced, and the capacity to analyze new data and provide relevant predictions or categorizations.

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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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OpenAI Acquires Rockset

Rockset

I’m excited to share that OpenAI has completed the acquisition of Rockset. We are thrilled to join the OpenAI team and bring our technology and expertise to building safe and beneficial AGI. From the start, our vision at Rockset was to fundamentally transform the way data-driven applications were built. We developed our search and analytics database, taking full advantage of the cloud, to eliminate the complexity inherent in the data infrastructure needed for these apps.

Database 145
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How FactSet Implemented an Enterprise Generative AI Platform with Databricks and MLflow

databricks

“FactSet’s mission is to empower clients to make data-driven decisions and supercharge their workflows and productivity. To deliver AI-driven solutions across our entire.

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Robinhood to Acquire Bitstamp

Robinhood

This acquisition will bring Bitstamp’s globally-scaled crypto exchange to Robinhood, with retail and institutional customers across the EU, UK, US and Asia. This strategic combination better positions Robinhood to expand outside of the US and will bring a trusted and reputable institutional business to Robinhood. Expected to close in the first half of 2025, subject to customary closing conditions, including regulatory approvals.

Retail 129
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How Meta trains large language models at scale

Engineering at Meta

As we continue to focus our AI research and development on solving increasingly complex problems, one of the most significant and challenging shifts we’ve experienced is the sheer scale of computation required to train large language models (LLMs). Traditionally, our AI model training has involved a training massive number of models that required a comparatively smaller number of GPUs.

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Creating AI-Driven Solutions: Understanding Large Language Models

KDnuggets

Understanding LLMs is pivotal in unlocking the full potential of AI-driven solutions across various domains. As we navigate the process of building AI-driven solutions, it is essential to approach the development and deployment of LLMs with a focus on responsible AI practices.

Building 147
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Embedded Snowpark Container Services Set RelationalAI’s Snowflake Native App on Path for Success

Snowflake

Despite the seemingly nonstop conversation surrounding AI, the data suggests that bringing AI into enterprises is still easier said than done. There’s so much potential and plenty of value to be captured — if you have the right models and tools. Implementing advanced AI today requires a solid data foundation as well as a set of solutions, each demanding its own tools and complex infrastructure.

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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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Mosaic AI: Build and deploy production-quality Compound AI Systems

databricks

Over the last year, we have seen a surge of commercial and open-source foundation models showing strong reasoning abilities on general knowledge tasks.

Systems 144
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Generative AI vs. Predictive AI: Understanding the Differences

Edureka

Is AI taking over the world? Umm, not yet, at least. However, according to a recently published report , almost 35% of global companies report using AI to optimize their business. In this article, we will take a closer look at two of the most talked about and widely used AI technologies of 2024 – generative AI and predictive AI. Table of Contents Generative AI vs Predictive AI – Comparison Table Generative AI 101: A Revolutionary Cocktail of Technology and Art How Does Generative AI

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Databricks Follows Cloudera by Adopting Iceberg, While Snowflake Mulls Open Source Approach

Cloudera

A constant flow of breaking news from the data lakehouse space is making notable tech headlines this week. On Tuesday, Databricks announced that it will acquire Tabular, a data management company founded by the creators of Apache Iceberg, Ryan Blue, Daniel Weeks, and Jason Reidfor. The deal was for an unconfirmed sum, but some reports suggest that amount to be between $1B and $2B (and allegedly outbidding Snowflake).

AWS 111
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Enhanced Cybersecurity with Real-Time Log Aggregation and Analysis

Confluent

Leverage Confluent’s data streaming platform to continuously ingest, process, and analyze logs to strengthen your cybersecurity and SIEM.

Process 115
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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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Understanding Data Privacy in the Age of AI

KDnuggets

Data privacy has been a long-standing issue that continues to challenge the data industry. Let’s understand how rapid developments in the world of AI have elevated data privacy concerns.

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Recognizing Customer-Focused Innovation at Partner Summit 2024: Announcing the Global Snowflake Partners of the Year

Snowflake

Each year, we are humbled and honored to look back on the contributions from the Snowflake Partner Network (SPN) and recognize their hard work with the Snowflake Partner Awards. Our partners help drive customer success and build an ever-expanding open ecosystem of solutions built on the AI Data Cloud. In the midst of this year’s AI Data Cloud Summit , we announced the 2024 Snowflake Partner Awards, recognizing 36 partners that are winning together with Snowflake and honoring them for their conti

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Introducing Databricks LakeFlow: A unified, intelligent solution for data engineering

databricks

Today, we are excited to announce Databricks LakeFlow, a new solution that contains everything you need to build and operate production data pipelines.

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Data Engineering Weekly #176

Data Engineering Weekly

Experience Enterprise-Grade Apache Airflow Astro augments Airflow with enterprise-grade features to enhance productivity, meet scalability and availability demands across your data pipelines, and more. Learn More → Databricks: Open Sourcing Unity Catalog This week brought many exciting developments, with Snowflake and Databricks announcing open-source catalogs.

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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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Cloudera Unveils Plans for Annual Pride Celebration in Cork

Cloudera

Pride Month is underway and we at Cloudera are looking forward to joining the global celebration of diversity, equity and the ongoing effort for LGBTQ+ ( L esbian, G ay, B isexual, T ransgender, Q ueer/ Q uestioning) rights and recognition. Pride Month serves as a reminder that the fight for equality and equity for members of the LGBTQ+ community is not over.

Systems 109
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Leveraging AI for efficient incident response

Engineering at Meta

We’re sharing how we streamline system reliability investigations using a new AI-assisted root cause analysis system. The system uses a combination of heuristic-based retrieval and large language model-based ranking to speed up root cause identification during investigations. Our testing has shown this new system achieves 42% accuracy in identifying root causes for investigations at their creation time related to our web monorepo.

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5 Tips to Step Up Your Data Science Game Right Away

KDnuggets

This article intends to provide practical advice for becoming a better data scientist by focusing on five different areas of proficiency. Whether you are starting out, or looking to get grounded after years as a practitioner, jump in and elevate your game.

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Observability in Snowflake: A New Era with Snowflake Trail

Snowflake

Discovering and surfacing telemetry traditionally can be a tedious and challenging process, especially when it comes to pinpointing specific issues for debugging. However, as applications and pipelines grow in complexity, understanding what’s happening beneath the surface becomes increasingly crucial. A lack of visibility hinders the development and maintenance of high-quality applications and pipelines, ultimately impacting customer experience.

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Provide Real Value in Your Applications with Data and Analytics

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.

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Announcing the General Availability of Databricks Assistant and AI-Generated Comments

databricks

Today, we are thrilled to announce the general availability of Databricks Assistant and AI-Generated Comments on all cloud platforms. Our mission at.

Cloud 135
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A Guide to Cyber Security Plan [Elements, Templates, Benefits]

Knowledge Hut

A cyber security plan agrees on the security policies, procedures, and controls required to protect an organization against threats, risks, and vulnerabilities. A cyber security plan can also outline the precise steps to take to respond to a breach. A cyber security plan sets the typical actions for activities such as the encryption of email attachments and restrictions on the use of social media.

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AI-Enhanced User Experiences in ArcGIS Pro 3.3

ArcGIS

Learn about the new AI-enhanced user experiences for geoprocessing in ArcGIS Pro 3.3, including semantic search and tool suggestions.

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Flaky Tests Overhaul at Uber

Uber Engineering

Dive into how we tackled flakiness among thousands of tests in our CI pipelines with a modularized and configurable approach across our diverse codebase, strengthening reliability of testing infrastructure, improving efficiency in identifying and resolving issues.

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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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Building Your First ETL Pipeline with Bash

KDnuggets

Bash is a good choice for ETL due to its simplicity, flexibility, automation capabilities, and interoperability with other CLI tools. Get more info on putting together your first ETL script using Bash mainstay components.

Building 129
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5 Ways Healthcare and Life Sciences Organizations Are Using Gen AI

Snowflake

Much has been said about how generative AI will impact the healthcare and life sciences industries. While generative AI will never replace a human healthcare provider, it is going a long way toward addressing key challenges and bottlenecks in the industry. And the effects are expected to be far-reaching across the sector. According to a recent Snowflake report, Healthcare and Life Sciences Data + AI Predictions 2024 , the companies that will come out ahead during this time are those that are for

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Open Sourcing Unity Catalog

databricks

We are excited to announce that we are open sourcing Unity Catalog, the industry’s first open source catalog for data and AI governance.

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Pride 2024: Pride is a verb, not just a noun by Caitlin Salt

Scott Logic

It’s June! It’s Pride month! Rainbows! Love is love! We’re your ally! Buy stuff with rainbows on! Let’s come to your Pride parade, but make sure you tone it down a bit! More rainbows! Buy our products! Look, we’ve put a rainbow on it! We love everyone ! We love absolutely everyone, in a very non-specific way! We definitely love sparkly unicorn rainbows!

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The AI Superhero Approach to Product Management

Speaker: Conrado Morlan

In this engaging and witty talk, industry expert Conrado Morlan will explore how artificial intelligence can transform the daily tasks of product managers into streamlined, efficient processes. Using the lens of a superhero narrative, he’ll uncover how AI can be the ultimate sidekick, aiding in data management and reporting, enhancing productivity, and boosting innovation.