ProjectPro

JUNE 6, 2025

Apache Spark is an open-source, distributed computing system for big data processing and analytics. ProjectPro has curated a list of the best Apache Spark books that cater to different levels of expertise, from beginner to pros. So sit back, grab a cup of coffee, and let's dive into the world of reading the top Apache Spark books.

Big Data 40

Big Data Scala Machine Learning Manufacturing 40

Confluent

FEBRUARY 24, 2022

A few years ago I helped build an event-driven system for gym bookings. The pitch was that we were building a better experience for both the gym members booking different […].

Systems 124

Systems Building Data 124

Knowledge Hut

DECEMBER 27, 2023

Also, you must go through certain software engineering books to make your knowledge and skills robust for the job. In this article, we will read about some of the most prevalent and widely loved and best books to read for software engineers that can help you get a good hold of all the concepts in engineering.

Software Engineering 98

Software Engineering Software Engineer Engineering Computer Science 98

ProjectPro

JUNE 6, 2025

A product recommendation system is a machine learning application with suggestions for products users might like to buy or engage with. The system builds a deep network of complex connections between those products and people using machine learning algorithms and data about different users and products.

Systems 45

Systems Project Datasets Machine Learning 45

Knowledge Hut

JUNE 25, 2024

For those interested in studying this programming language, several best books for python data science are accessible. Top 8 Python Data Science Books for 2023 Python is one of the programming languages that is most commonly utilized in the field of data science. This book offers practical programming solutions to these problems.

Data Science 97

Data Science Python Hadoop Media 97

ProjectPro

JUNE 6, 2025

Learning machine learning is easy and quick, and you can learn through machine learning courses, videos, bootcamps, tutorials, and of course, good machine learning books! Each project and book is recommended by ProjectPro’s industry experts, making them the richest sources of practical knowledge in the world of machine learning.

Machine Learning 45

Machine Learning Deep Learning Algorithm Computer Science 45

ProjectPro

JUNE 6, 2025

So many NLP books, so little time - the problem of choice arises when you want to become a better data scientist, NLP engineer, or machine learning engineer by drenching in some top NLP books. Books on NLP are abundant on the internet, making it harder for beginners to pick a book. And here we go.

Deep Learning 40

Deep Learning Java Computer Science Python 40

Knowledge Hut

APRIL 24, 2024

The technique of breaking into networks or computer systems to search for threats or vulnerabilities that a hostile attacker might uncover and use to steal data, inflict financial loss, or cause another major harm is known as penetration testing. Numerous ethical hacking books are available to help you get started.

Java 98

Java Entertainment Python Programming 98

ProjectPro

JUNE 6, 2025

Whether you are beginner looking to pursue a career in data science or looking to improve your python skills for data analysis, you might be overwhelmed with the amount of learning resources available out there - courses, books, and videos. So, if you're seeking the best python data science books, we’ve got you covered.

Data Science 40

Data Science Python Data Mining Algorithm 40

ProjectPro

JUNE 6, 2025

AI-powered recommendation systems power platforms like Netflix and Amazon and enhance user experiences by predicting preferences. Unlike traditional methods, these advanced systems leverage the power of large language models (LLMs) to make smarter, more dynamic predictions. billion in 2023 to $3.28 billion in 2023 to $3.28

Systems 40

Systems Building Datasets Metadata 40

The Pragmatic Engineer

NOVEMBER 21, 2023

If you had a continuous deployment system up and running around 2010, you were ahead of the pack: but today it’s considered strange if your team would not have this for things like web applications.  In 1997, when Amazon was a one-floor, sub-100 person startup trying to sell books online, I experienced what every engineer dreads.

Engineering 334

Engineering Bytes Cloud Computing AWS 334

Knowledge Hut

NOVEMBER 7, 2023

With that in mind, having the best CSM books to help you with Scrum preparation would go a long way in assisting you to become the expert you desire to be. Along with the best Scrum book, it is a plus point to go for CSM online training and boost your learning. Who is a CSM?

Certification 98

Certification Project Management Software Engineer 98

Data Engineering Podcast

DECEMBER 24, 2023

Summary Kafka has become a ubiquitous technology, offering a simple method for coordinating events and data across different systems. What motivated to write a book about how to manage Kafka in production? What motivated to write a book about how to manage Kafka in production? Can you describe your experiences with Kafka?

Kafka 245

Kafka Data Lake High Quality Data SQL 245

Data Engineering Podcast

DECEMBER 25, 2022

Recognizing this shortcoming and the capabilities that could be unlocked by a robust solution Rishabh Poddar helped to create Opaque Systems as an outgrowth of his PhD studies. Visit dataengineeringpodcast.com/datafold today to book a demo with Datafold. Can you describe what you are building at Opaque Systems and the story behind it?

Machine Learning 130

Machine Learning Systems Data Lake Data Warehouse 130

Lyft Engineering

APRIL 3, 2023

This blog post focuses on the scope and the goals of the recommendation system, and explores some of the most recent changes the Rider team has made to better serve Lyft’s riders. Introduction: Scope of the Recommendation System The recommendation system covers user experiences throughout the ride journey.

Systems 90

Systems Pipeline-centric Machine Learning Transportation 90

Knowledge Hut

MAY 6, 2024

Applying systems thinking views a system as a set of interconnected and interdependent components defined by its limits and more than the sum of their parts (subsystems). When one component of a system is altered, the effects frequently spread across the entire system. are the main objectives of systems thinking.

Systems 98

Systems Transportation Certification Healthcare 98

Snowflake

NOVEMBER 19, 2024

And in the new book “Secrets of Apache Spark to Snowflake Migration Success,” we’re spotlighting some of these exciting stories from customers as varied as AMN Healthcare, IGS Energy, Intercontinental Exchange and the New York Stock Exchange.

Data Governance 98

Data Governance Government Healthcare Management 98

The Pragmatic Engineer

OCTOBER 10, 2024

Wordpress is the most popular content management system (CMS),  estimated  to power around 43% of all websites; a staggering number!   Forks gaining momentum that has the code of Wordpress, but uses a different name could also be in the books. I can see a few things happen: A fork (or more). 

Consulting 350

Consulting AWS Software Engineer Software Engineering 350

The Pragmatic Engineer

AUGUST 10, 2023

Learnerbly is an L&D platform hundreds of tech companies use, as it makes administering these budgets much simpler — and it’s also a lot easier for people to request books, courses, or newsletters. Simplify helped me a lot to automatically fill applications in the most popular applicant tracking systems (ATS.)

Engineering 234

Engineering Recruitment Retail Software Engineer 234

The Pragmatic Engineer

APRIL 19, 2023

An example of this was how, when I was writing a book on resumes, I came across the concept of "ATSes rejecting resumes." I was sceptical that any system would automatically reject resumes, because I never saw this as a hiring manager. Look for sources, and question where the details come from.

Software Engineering 333

Software Engineering Software Engineer Engineering Media 333

Towards Data Science

FEBRUARY 19, 2024

Image from Unsplash Building a Semantic Book Search: Scale an Embedding Pipeline with Apache Spark and AWS EMR Serverless Using OpenAI’s Clip model to support natural language search on a collection of 70k book covers In a previous post I did a little PoC to see if I could use OpenAI’s Clip model to build a semantic book search.

AWS 90

AWS Building Bytes Python 90

The Pragmatic Engineer

SEPTEMBER 22, 2023

The innovator’s dilemma comes from the book of the same title by Clayton Christerenses. Discovering these edge cases – and making sure they don’t catch you off guard – will surely be a learning curve for developers using Bun, just like with every new framework.

Programming Language 307

Programming Language Project Engineering Coding 307

ProjectPro

JUNE 6, 2025

Source : Images.squarespace-cdn.com The shipping management industry needs to scale its ERP systems and map the SAP systems to Google Cloud Services. Cab Booking System Using Google Cloud Platform Companies like Uber and Ola have resolved the commute problem of all citizens of the world.

Google Cloud 58

Google Cloud Project Data Lake Healthcare 58

Monte Carlo

NOVEMBER 12, 2024

Every time you play, skip, or save a song, Spotify notes the behavior and passes it to their recommendation system through Kafka. ElasticSearch then powers the lightning-fast search results you see, while machine learning frameworks like TensorFlow enable Airbnb’s recommendation systems to make smart suggestions.

Architecture 96

Architecture Data Engineering Data Engineer Engineering 96

The Pragmatic Engineer

AUGUST 10, 2023

Learnerbly is an L&D platform hundreds of tech companies use, as it makes administering these budgets much simpler — and it’s also a lot easier for people to request books, courses, or newsletters. Small business hosts on the travel booking platform are waiting more than a month to be paid. Exclusive.

Retail 215

Retail Software Engineer Software Engineering Utilities 215

ProjectPro

JUNE 6, 2025

But a well-written AI book? So, don't miss our compilation of 15+ handpicked best in-class AI books, ideal for learners who want to learn AI concepts, algorithms, and possibilities driving artificial intelligence - all in one go! Human + Machine: Reimagining Work in the Age of AI Other Top Books About AI 14.

Deep Learning 40

Deep Learning Machine Learning Algorithm Python 40

The Pragmatic Engineer

SEPTEMBER 28, 2023

Willem Spruijt is a software engineer whom I worked on the same team with at Uber in Amsterdam, building payments systems. An example of making a company-wide impact at Rise was during our Christmas hackathon, when an engineer built a Calendly-like feature for anyone to book a slot in your calendar.

Software Engineer 308

Software Engineer Software Engineering Engineering Building 308

Snowflake

JUNE 8, 2025

Or book a meeting with us now. With fewer systems touching the data and full control maintained throughout, this integration enhances both performance and privacy in a way that’s truly unique to the ecosystem. Book a meeting. See our list of not-to-miss events below.

Media 77

Media Entertainment Retail Government 77

ProjectPro

JUNE 6, 2025

It covers tools, frameworks, agent creation, and advanced concepts like reinforcement learning, multi-agent systems, and ethical AI. For example, a hotel booking website recently introduced AI travel agents to chat with customers in 15 languages. Additionally, it has all the relevant project ideas to help you master Agentic AI.

Deep Learning 80

Deep Learning Algorithm Machine Learning Banking 80

François Nguyen

FEBRUARY 28, 2021

If there is one only book to read about lean manufacturing, this is the one. This is the kind of book you can read again and again and still learn something about your current context. It is also a book you can read whatever your industry, you will always find situations covered by this book.

Data Pipeline 130

Data Pipeline Building Manufacturing BI 130

ProjectPro

JUNE 6, 2025

Project Idea: Analyse the customer behaviour dataset of Expedia (a hotel booking website) and perform various feature engineering methods over it to visualise the patterns in the dataset. Apply machine learning and deep learning algorithms over the dataset to make the system learn the facial features of all the employees.

Business Intelligence 69

Business Intelligence Coding Project BI 69

ProjectPro

JUNE 6, 2025

However, it comes with drawbacks like retrieval latency, document selection errors, and increased system complexity. CAG addresses RAG’s limitations by removing real-time retrieval, reducing latency, and simplifying system architecture. To prevent unnecessary memory usage, the system periodically resets or trims the cache.

Manufacturing 52

Manufacturing Database Systems Datasets 52

Data Engineering Podcast

JULY 16, 2023

In his recent book "Datapreneurs" he reflects on the people and businesses that he has known and worked with and how they relied on data to deliver valuable services and drive meaningful change. What are the most interesting, unexpected, or challenging lessons that you have learned while working on the Datapreneurs book?

SQL 130

SQL Machine Learning Data Engineering Data 130

Data Engineering Podcast

DECEMBER 26, 2021

Zhamak Dehghani introduced the concepts behind this architectural patterns in 2019, and since then it has been gaining popularity with many companies adopting some version of it in their systems. What are some of the ways that your work on the data mesh book influenced your thinking on the practical elements of implementing a data mesh?

BI 130

BI Data Warehouse Data Engineering Data Engineer 130

Data Engineering Weekly

FEBRUARY 9, 2025

link] Pinterest: Advancements in Embedding-Based Retrieval at Pinterest Homefeed Pinterest writes about its embedding-based retrieval system enhancements for Homefeed personalization and engagement. Airbnb restricted the range of booking probabilities for map pins, which led to significant booking improvements.

Data Engineering 58

Data Engineering Data Engineer Engineering Unstructured Data 58

Data Engineering Weekly

NOVEMBER 24, 2024

The system leverages a combination of an event-based storage model in its TimeSeries Abstraction and continuous background aggregation to calculate counts across millions of counters efficiently. Grab has enhanced its LLM-powered data classification system, Metasense, to improve accuracy and minimize manual workload.

Data Engineering 58

Data Engineering Data Engineer Engineering Insurance 58