August, 2024

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Neo4j vs. Amazon Neptune: Graph Databases in Data Engineering

Analytics Vidhya

Introduction Managing complicated, interrelated information is more important than ever in today’s data-driven society. Traditional databases, while still valuable, often falter when it comes to handling highly connected data. Enter the unsung heroes of the data world: graph databases. These powerful tools are designed to manage and query intricate data relationships effortlessly.

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Data Engineering Interview Series #1: Data Structures and Algorithms

Start Data Engineering

1. Introduction 2. Data structures and algorithms to know 2.1. List 2.2. Dictionary 2.3. Queue 2.4. Stack 2.5. Set 2.6. Counter (from collections module) 2.7. Heap 2.8. Graph search 2.8.1 Depth First Search (DFS) 2.8.2. Breadth First Search BFS 2.9. Binary Search 3. Common DSA questions asked during DE interviews 3.1. Intervals 3.

Algorithm 201
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Apache Spark’s Most Annoying Use Case

Confessions of a Data Guy

I still remember the good ole days when Apache Spark was fresh and hot, hardly anyone was using it, except a few poor AWS Glue and EMR users … Lord have mercy on their ragged souls. It’s funny how that GOAT of a tool went from being used by a few companies for extremely large […] The post Apache Spark’s Most Annoying Use Case appeared first on Confessions of a Data Guy.

AWS 147
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Data Teams Survey 2024 Results

Jesse Anderson

In the spring of 2024, I ran a new survey to gather more data for my Data Teams book and update my 2023 and 2020 surveys. In total, we had 81 respondents. This survey was designed to get information about how management uses data teams, the value they’re creating, and how they’re creating it. The survey asked about the best and worst practices that teams are using or experiencing.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Speakers for Amsterdam / Netherlands Tech Events

The Pragmatic Engineer

I (Gergely) sometimes get reachouts to do talks at events in Amsterdam (where I am based,) the Netherlands, or somewhere in Europe. Unfortunately, rarely do talks – I do one conference per year. However, I asked around in the community about tech professionals who do paid talks that software engineers find interesting, engaging, and educational.

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Data News — Week 24.34

Christophe Blefari

News again. ( credits ) It's been 3 weeks. Summer continues and I hope this new edition finds you well, having had a great vacation and a nice break before getting back to business in September. Content and articles have been a little slow over the last few weeks and that's to be expected, but I feel it gonna get back to business as usual soon.

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DAIS 2024: Unit tests - configuration and declaration

Waitingforcode

Code organization and assertions flow are both important but even them, they can't guarantee your colleagues' adherence to the unit tests. There are other user-facing attributes to consider as well.

Coding 130
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Optimizing Your LLM for Performance and Scalability

KDnuggets

Optimize LLM performance and scalability using techniques like prompt engineering, retrieval augmentation, fine-tuning, model pruning, quantization, distillation, load balancing, sharding, and caching.

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Long Context RAG Performance of LLMs

databricks

Retrieval Augmented Generation (RAG) is the most widely adopted generative AI use case among our customers. RAG enhances the accuracy of LLMs by.

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A RoCE network for distributed AI training at scale

Engineering at Meta

AI networks play an important role in interconnecting tens of thousands of GPUs together, forming the foundational infrastructure for training, enabling large models with hundreds of billions of parameters such as LLAMA 3.1 405B. This week at ACM SIGCOMM 2024 in Sydney, Australia, we are sharing details on the network we have built at Meta over the past few years to support our large-scale distributed AI training workload.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Mapping the most popular National Park Service lands

ArcGIS

With a new GIS mapping tool you can map the most visited national parks (and much more!) to explore your spatial data even further.

Designing 145
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Evaluating Change Data Capture Tools: A Comprehensive Guide

Data Engineering Weekly

TL;DR Aswin and I are thrilled to announce the release of the first version of our comprehensive guide for evaluating Change Data Capture. CDC Evaluation Guide Google Sheet Link: [link] CDC Evaluation Guide Github Link: [link] Change Data Capture (CDC) is a powerful technology in data engineering that allows for continuously capturing changes (inserts, updates, and deletes) made to source systems.

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Snowflake Startup Spotlight: BigGeo Puts Geospatial Intelligence on the Map

Snowflake

Welcome to Snowflake’s Startup Spotlight, where we learn about companies building their businesses on Snowflake. In this edition, we talk to Brent Lane, Co-founder and CEO of BigGeo, about the world of geospatial data and learn how BigGeo is turning 15 years of research into advanced technology that knocks down traditional barriers to using rich, complex location-based data throughout an organization.

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Beginner’s Guide to Careers in AI and Machine Learning

KDnuggets

The AI and ML complexity results in a growing number and diversity of jobs that require AI & ML expertise. We’ll give you a rundown of these jobs regarding the technical skills they need and the tools they employ.

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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

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Databricks SQL Serverless is now available on Google Cloud Platform

databricks

Databricks SQL Serverless is now Generally Available on Google Cloud Platform (GCP)! SQL Serverless is available in 7 GCP regions and 40+ regions across AWS, Azure and GCP.

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How Meta enforces purpose limitation via Privacy Aware Infrastructure at scale

Engineering at Meta

At Meta, we’ve been diligently working to incorporate privacy into different systems of our software stack over the past few years. Today, we’re excited to share some cutting-edge technologies that are part of our Privacy Aware Infrastructure (PAI) initiative. These innovations mark a major milestone in our ongoing commitment to honoring user privacy.

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Reimagine Your GIS: From ArcMap to ArcGIS Pro and User Types

ArcGIS

Explore how moving from ArcMap to ArcGIS Pro and user types can make GIS workflows better, improve collaboration, and make big changes within your organization.

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The Big Data London Guide: 2024 Edition

Monte Carlo

Another Big Data London is right around the corner, and we couldn’t be more excited. Coming in hot on September 18-19, Big Data London is easily the UK’s biggest data event of the year. And with an event as rare and prestigious as Big Data London, it’s normal to want to maximize your time. That’s why we put together our list of the top things to see and do at Big Data London this year—including the data reliability sessions we’re most excited about and the after-parties you don’t want to miss.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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Securely Deploy Custom Apps and Models with Snowpark Container Services, Now Generally Available

Snowflake

Since introducing Snowpark Container Services, we’ve seen overwhelming adoption across industries from customers and partners, including Landing.AI , Relational.AI , H20.AI , SailPoint , AIR MILES , Spark NZ , and Eutelsat OneWeb. These organizations and many more are using Snowpark Container Services capabilities to easily and securely deploy everything from custom front-ends and large-scale ML training and inference to open source and homegrown models, all securely within Snowflake.

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10 Python Libraries Every Data Scientist Should Know

KDnuggets

Want to take the next step in your journey to becoming a data scientist? Check out these Python libraries for data science that you can't do without.

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Onboarding your new AI/BI Genie

databricks

Deploying an AI/BI Genie is like hiring a new data analyst. This blog covers the basics you need to successfully onboard your Genie and maximize the benefits.

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DevOps Roadmap: Your Guide to Become a DevOps Engineer

Edureka

If you’re curious about learning DevOps Roadmap but don’t know where to start, you’re in the right place! I’ll guide you step-by-step on your journey to becoming a DevOps engineer. First and foremost, we will start with the basic skills required to become a DevOps engineer, then gradually explore the major milestones you need to reach to succeed in this field.

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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

In today’s construction market, owners, construction managers, and contractors must navigate 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.

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Unlocking the Power of Geospatial AI with ArcGIS: Simplified and Advanced Solutions for Every User

ArcGIS

Discover how ArcGIS empowers users at all levels to harness the potential of geospatial AI. Whether you're leveraging pre-trained models for quick insights or building custom AI solutions, ArcGIS offers flexible, powerful tools for every workflow. Explore simplified and advanced AI capabilities across desktop, enterprise, and cloud environments, designed to make geospatial intelligence accessible to everyone.

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Meta is getting ready for post-quantum cryptography

Engineering at Meta

The Quantum Apocalypse is coming. The advent of quantum computers has raised real questions about the future of data privacy over the internet. Someday, advances in quantum computing will make it possible to decrypt sensitive data that was encrypted using today’s complex cryptography systems. In the latest episode of the Meta Tech Podcast you’ll meet Sheran and Rafael, two engineers leading Meta’s post-quantum readiness work.

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Snowflake Invests in Contextual AI to Make It Easier for Enterprises to Deploy RAG Applications in the AI Data Cloud

Snowflake

Retrieval Augmented Generation (RAG) allows enterprises to ground responses from Large Language Models in their specific organization’s data. This helps ensure that AI-powered applications provide responses that are not only accurate, relevant, and consistent, but also aligned with business needs. At Snowflake, we make it simple for our customers to implement RAG, while also enabling the strict governance and privacy controls that businesses require.

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Project Ideas to Master Data Engineering

KDnuggets

Data engineering is best learned by doing projects. But which ones? Here are six projects focusing on different data engineering skills to ensure you have it all covered.

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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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An Introduction to Time Series Forecasting with Generative AI

databricks

An Introduction to Time Series Forecasting with Generative AI Time series forecasting has been a cornerstone of enterprise resource planning for decades. Predictions.

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Full Stack Developer Skills, Salary and Jobs

Edureka

In the 21st century, Full Stack Web Development has undoubtedly transformed the internet. Notably, it is the driving force behind all the sites we see today, as well as mobile applications installed on our devices. Therefore, To succeed in web development, it’s important for anyone hoping to make a career out of it to understand and excel in the full stack developer skills required according to the current market trend.

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A Melange of Maps

ArcGIS

Different thematic map types are better at supporting some questions than others. Here are a range of alternative approaches.

Designing 135
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Aparna Ramani discusses the future of AI infrastructure

Engineering at Meta

Delivering new AI technologies at scale also means rethinking every layer of our infrastructure – from silicon and software systems and even our data center designs. For the second year in a row, Meta’s engineering and infrastructure teams returned for the AI Infra @ Scale conference, where they discussed the challenges of scaling up an infrastructure for AI as well as work being done on our large-scale GPU clusters , open hardware designs for next-generation data center hardware, and how Meta i

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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.