Analytics Vidhya
AUGUST 4, 2024
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.
Start Data Engineering
AUGUST 13, 2024
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.
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KDnuggets
AUGUST 12, 2024
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.
Confessions of a Data Guy
AUGUST 29, 2024
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.
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Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.
Jesse Anderson
AUGUST 28, 2024
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.
ArcGIS
AUGUST 23, 2024
With a new GIS mapping tool you can map the most visited national parks (and much more!) to explore your spatial data even further.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
databricks
AUGUST 12, 2024
Retrieval Augmented Generation (RAG) is the most widely adopted generative AI use case among our customers. RAG enhances the accuracy of LLMs by.
KDnuggets
AUGUST 15, 2024
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.
The Pragmatic Engineer
AUGUST 14, 2024
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.
Christophe Blefari
AUGUST 24, 2024
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.
Speaker: Tamara Fingerlin, Developer Advocate
In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!
Waitingforcode
AUGUST 22, 2024
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.
Seattle Data Guy
AUGUST 8, 2024
If you work in data, then AI is everywhere at this point. But whether AI is hype or reality doesn’t change the fact that data engineers will play a major role in ensuring that the data sets that are utilized for the growing use cases are usable both by machines and humans. Whether that data… Read more The post Essential Skills for Data Engineers in the Age of AI appeared first on Seattle Data Guy.
KDnuggets
AUGUST 9, 2024
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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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
The Pragmatic Engineer
AUGUST 14, 2024
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.
Engineering at Meta
AUGUST 5, 2024
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.
ArcGIS
AUGUST 14, 2024
Different thematic map types are better at supporting some questions than others. Here are a range of alternative approaches.
Waitingforcode
AUGUST 9, 2024
Testing batch jobs is not the same as testing streaming ones. Although the transformation (the WHAT from the previous article) is similar in both cases, more complete validation tests on the job logic are not. After all, streaming jobs often iteratively build the final outcome while the batch ones generate it in a single pass.
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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?
Seattle Data Guy
AUGUST 1, 2024
What would you do if you became the head or director of data for a 1,000-person company? Yesterday, you were plugging along as an analyst, and now, suddenly, you have all these new responsibilities. Figuring out where to start is part of the job. You’d probably feel a strong temptation to freak out. Who wouldn’t?… Read more The post How To Run A Data Team As A New Head Of Data appeared first on Seattle Data Guy.
KDnuggets
AUGUST 23, 2024
Learn large language models with these free resources from Deeplearning.AI, Microsoft, AWS, and more.
Data Engineering Weekly
AUGUST 6, 2024
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.
databricks
AUGUST 14, 2024
We are excited to announce that Graviton , the ARM-based CPU instance offered by AWS, is now supported on the Databricks ML Runtime.
Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali
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.
ArcGIS
AUGUST 6, 2024
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.
Waitingforcode
AUGUST 1, 2024
Welcome to the second blog post dedicated to the previous Data+AI Summit. This time I'm going to share with you a summary of Apache Spark talks.
Engineering at Meta
AUGUST 27, 2024
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.
KDnuggets
AUGUST 7, 2024
Learn about essential AI tools that can help you develop Python projects faster and with fewer bugs using natural language.
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.
Confessions of a Data Guy
AUGUST 20, 2024
Recently, for some unknown reason, I was pursuing the new Stackoverflow … called Reddit, for Data Engineering … and I ran across an interesting question … more or less it was related to “what makes a good Software Engineer … in a Data Engineering context.” This isn’t the first time this idea has come up […] The post What is a “Good” Data or Software Engineer?
databricks
AUGUST 19, 2024
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.
ArcGIS
AUGUST 16, 2024
How to combine Living Atlas layers into a plausibly 1890s style ArcGIS Pro basemap. And thoughts on time travel.
Snowflake
AUGUST 5, 2024
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.
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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