ProjectPro

JUNE 6, 2025

These frameworks simplify the process of humanizing machines with supremacy through accurate large-scale complex deep learning models. The reason for having computational graphs is to achieve parallelism and speed up the training process. There are usually two types of graphs – Static and Dynamic.

Deep Learning 97

Deep Learning Machine Learning Programming Language Python 97

ProjectPro

JUNE 6, 2025

Features of a Data Pipeline Data Pipeline Architecture How to Build an End-to-End Data Pipeline from Scratch? A data pipeline automates the movement and transformation of data between a source system and a target repository by using various data-related tools and processes. Table of Contents What is a Data Pipeline?

Data Pipeline 40

Data Pipeline Architecture Kafka Data Lake 40

Data Engineering Podcast

FEBRUARY 26, 2023

Jean-Georges Perrin was tasked with designing a new data platform implementation at PayPal and wound up building a data mesh. In this episode he shares that journey and the combination of technical and organizational challenges that he encountered in the process. We feel your pain. It ends up being anything but that.

Building 147

Building Metadata Machine Learning Data 147

ProjectPro

JUNE 6, 2025

The urge to implement data-driven insights into business processes has consequently increased the data volumes involved. We know you are enthusiastic about building data pipelines from scratch using Airflow. For example, if we want to build a small traffic dashboard that tells us what sections of the highway suffer traffic congestion.

Data Pipeline 45

Data Pipeline Building Data Lake Raw Data 45

dbt Developer Hub

APRIL 20, 2025

We expect that over the coming years, structured data is going to become heavily integrated into AI workflows and that dbt will play a key role in building and provisioning this data. We are committed to building the data control plane that enables AI to reliably access structured data from across your entire data lineage.

Structured Data 98

Structured Data SQL BI Metadata 98

dbt Developer Hub

APRIL 19, 2023

This tutorial aims to solve this by providing the definitive guide to dimensional modeling with dbt. Close alignment with actual business processes : Business processes and metrics are modeled and calculated as part of dimensional modeling. Identifying the business process is done in collaboration with the business user.

Building 145

Building PostgreSQL BI Database 145

ProjectPro

JUNE 6, 2025

This blog walks you through each step of the Langchain MCP implementation with a practical code example, helping you understand how to build real-time, scalable AI agents while getting comfortable with the core components of the growing ecosystem of MCP. Langchain MCP Integration Example How to Build a Simple Langchain MCP Server?

Building 40

Building Medical Transportation Python 40

ProjectPro

JUNE 6, 2025

That’s how Yaron Been describes his use of Microsoft’s AutoGen for building multi-agent applications that collaborate, iterate, and execute tasks together in one of his recent LinkedIn posts. In this Autogen project, you’ll build a multi-agent travel planner that automates the process using specialized AI agents.

Systems 40

Systems Project Building Coding 40

ProjectPro

JUNE 6, 2025

Managing an end-to-end ML project isn't just about building models; it involves navigating through multiple stages, such as identifying the right problem, sourcing and cleaning data, developing a reliable model, and deploying it effectively. This statistic underscores the importance of clearly defining the problem at the outset.

Machine Learning 40

Machine Learning Project Building Raw Data 40

Cloudera

NOVEMBER 13, 2024

This acquisition delivers access to trusted data so organizations can build reliable AI models and applications by combining data from anywhere in their environment. This guarantees data quality and automates the laborious, manual processes required to maintain data reliability.

Metadata 90

Metadata Management Data Governance Government 90

Engineering at Meta

APRIL 28, 2025

Specifically, we have adopted a “shift-left” approach, integrating data schematization and annotations early in the product development process. We discovered that a flexible and incremental approach was necessary to onboard the wide variety of systems and languages used in building Metas products.

Metadata 83

Metadata Data Utilities Data Warehouse 83

Knowledge Hut

FEBRUARY 1, 2024

Today, we’ll talk about how Machine Learning (ML) can be used to build a movie recommendation system - from researching data sets & understanding user preferences all the way through training models & deploying them in applications. How to Build a Movie Recommendation System in Python?

Systems 98

Systems Entertainment Algorithm Machine Learning 98

ProjectPro

JUNE 6, 2025

Looking for an efficient tool for streamlining and automating your data processing workflows? Let's consider an example of a data processing pipeline that involves ingesting data from various sources, cleaning it, and then performing analysis. Operator : They are building blocks of Airflow DAGs.

Data Pipeline 63

Data Pipeline PostgreSQL Python Database 63

LinkedIn Engineering

OCTOBER 19, 2023

Authors: Bingfeng Xia and Xinyu Liu Background At LinkedIn, Apache Beam plays a pivotal role in stream processing infrastructures that process over 4 trillion events daily through more than 3,000 pipelines across multiple production data centers.

Process 119

Process Lambda Architecture Kafka Machine Learning 119

Christophe Blefari

MARCH 1, 2023

In a nutshell the dbt journey starts with sources definition on which you will define models that will transform these sources to something else you'll need in your downstream usage of the data. You can read dbt's official definitions. The documentation, as I said earlier, is top of the notch.

Data Warehouse 278

Data Warehouse SQL Metadata Raw Data 278

The Pragmatic Engineer

JUNE 22, 2023

The press release: “Squarespace announced today it has entered into a definitive asset purchase agreement with Google, whereby Squarespace will acquire the assets associated with the Google Domains business, which will be winding down following a transition period. ” So what’s being sold, exactly?

Google Cloud 303

Google Cloud Media Cloud Engineering 303

Precisely

JANUARY 30, 2025

Recognize that artificial intelligence is a data governance accelerator and a process that must be governed to monitor ethical considerations and risk. Integrate data governance and data quality practices to create a seamless user experience and build trust in your data. Tools are important, but they need to complement your strategy.

Data Governance 103

Data Governance Government Metadata Data 103

ProjectPro

JUNE 6, 2025

Next, you will find a section that presents the definition of a time series forecasting article. Table of Contents Time Series Forecasting: Definition, Models, and Projects What is Time Series Forecasting? Before exploring different models for forecasting time series data, one should be clear of the time series forecasting definition.

Deep Learning 66

Deep Learning Machine Learning Python Datasets 66

Netflix Tech

JANUARY 10, 2024

Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. The Netflix video processing pipeline went live with the launch of our streaming service in 2007. The Netflix video processing pipeline went live with the launch of our streaming service in 2007.

Process 100

Process Pipeline-centric Media Metadata 100

ProjectPro

JUNE 6, 2025

Discover the ultimate approach for automating and optimizing your machine-learning workflows with this comprehensive blog that unveils the secrets of Airflow's popularity and its role in building efficient ML pipelines! How to Build a Machine Learning Pipeline Using Airflow? Why Do You Need Airflow Machine Learning Pipeline?

Machine Learning 40

Machine Learning Building Retail Data Ingestion 40

The Pragmatic Engineer

OCTOBER 31, 2023

We are still working on processing the backlog of asynchronous Lambda invocations that accumulated during the event, including invocations from other AWS services (such as SQS and EventBridge). As of 3:37 PM PDT, the backlog was fully processed. Regional Spanner should have had one replica in each of the three buildings in the region.

AWS 285

AWS Google Cloud Cloud Food 285

Netflix Tech

JANUARY 6, 2025

Part 2: Navigating Ambiguity By: VarunKhaitan With special thanks to my stunning colleagues: Mallika Rao , Esmir Mesic , HugoMarques Building on the foundation laid in Part 1 , where we explored the what behind the challenges of title launch observability at Netflix, this post shifts focus to the how. And how did we arrive at thispoint?

Metadata 93

Metadata Algorithm Systems Engineering 93

Towards Data Science

JANUARY 27, 2025

How to Build a Data Dashboard Prototype with Generative AI A book reading data visualization withVizro-AI This article is a tutorial that shows how to build a data dashboard to visualize book reading data taken from goodreads.com. Its still not complete and can definitely be extended and improved upon.

Building 53

Building Datasets Data Coding 53

ProjectPro

JUNE 6, 2025

The need for fast and efficient data processing is high, as companies increasingly rely on data to make business decisions and improve product quality. Spark: The Definitive Guide: Big Data Processing Made Simple - Bill Chambers, Matei Zaharia This one is for you if you're looking for an easy-to-understand introduction to Spark.

Data Engineering 45

Data Engineering Data Engineer Engineering Lambda Architecture 45

ProjectPro

JUNE 6, 2025

Practical application is undoubtedly the best way to learn Natural Language Processing and diversify your data science portfolio. Many Natural Language Processing (NLP) datasets available online can be the foundation for training your next NLP model. Table of Contents Where to find Natural Language Processing Datasets?

Datasets 40

Datasets Process Project Medical 40

ProjectPro

JUNE 6, 2025

Have you ever considered the challenges data professionals face when building complex AI applications and managing large-scale data interactions? These obstacles usually slow development, increase the likelihood of errors and make it challenging to build robust, production-grade AI applications that adapt to evolving business requirements.

Building 40

Building Pipeline-centric Database-centric Data Validation 40

The Pragmatic Engineer

APRIL 19, 2023

I still remember being in a meeting where a Very Respected Engineer was explaining how they are building a project, and they said something along the lines of "and, of course, idempotency is non-negotiable." After a while, I started adopting this approach. Otherwise, understand the jargon in simple terms, yourself.

Software Engineering 333

Software Engineering Software Engineer Engineering Media 333

Snowflake

OCTOBER 2, 2023

To help customers overcome these challenges, RudderStack and Snowflake recently launched Profiles , a new product that allows every data team to build a customer 360 directly in their Snowflake Data Cloud environment. Now teams can leverage their existing data engineering tools and workflows to build their customer 360.

Cloud 116

Cloud Building Insurance Data Engineering 116

Data Engineering Weekly

JANUARY 15, 2025

The answer lies in unstructured data processing—a field that powers modern artificial intelligence (AI) systems. Unlike neatly organized rows and columns in spreadsheets, unstructured data—such as text, images, videos, and audio—requires advanced processing techniques to derive meaningful insights.

Data Engineering 63

Data Engineering Data Engineer Unstructured Data Engineering 63

Snowflake

JUNE 10, 2025

With open source, anyone can suggest a new feature, build it themselves and work with other contributors to bring it into the project. Native [variant] support enables Iceberg to efficiently represent and process this kind of data, unlocking performance and flexibility without compromising on structure.”

Metadata 92

Metadata Software Engineering Software Engineer Project 92

ProjectPro

JUNE 6, 2025

For e.g., Finaccel, a leading tech company in Indonesia, leverages AWS Glue to easily load, process, and transform their enterprise data for further processing. It offers a simple and efficient solution for data processing in organizations. AWS Glue automates several processes as well. Why Use AWS Glue?

AWS 66

AWS Scala Metadata Data Lake 66

DataKitchen

NOVEMBER 27, 2024

Is completeness about filling every field in a record, or is it about having the fields critical to a particular business process? Similarly, data teams might struggle to determine actionable steps if the metrics do not highlight specific datasets, systems, or processes contributing to poor data quality.

Banking 86

Banking Data Pharmaceutical Consulting 86

The Pragmatic Engineer

MAY 25, 2023

Glassdoor could make the process a lot clearer by publishing a moderation log which details when and why it removed a review. Such a log would build confidence that Glassdoor is a neutral platform which is only enforcing its own terms and conditions, and could validate this. Remember which company has what type of incentives.

Software Engineer 352

Software Engineer Software Engineering AWS Engineering 352

Engineering at Meta

FEBRUARY 4, 2025

In this context, an individual data log entry is a formatted version of a single row of data from Hive that has been processed to make the underlying data transparent and easy to understand. Once the batch has been queued for processing, we copy the list of user IDs who have made requests in that batch into a new Hive table.

Accessibility 89

Accessibility Accessible Raw Data Data Warehouse 89

ProjectPro

JUNE 6, 2025

If you’ve ever wondered how these intelligent systems work or wanted to build one, this blog is your starting point. You'll start with the basics, explore essential tools and techniques, and eventually learn how to build AI agents through hands-on projects. This step builds the technical foundation for agent development.

Deep Learning 80

Deep Learning Algorithm Machine Learning Banking 80

Data Engineering Weekly

JUNE 15, 2025

The Data Platform Fundamentals Guide Learn the fundamental concepts to build a data platform in your organization. The process and technology to access data to insight are vital for modern organizations to survive. link] Grab: The complete stream processing journey on FlinkSQL.

Data Engineering 52

Data Engineering Data Engineer Pipeline-centric Engineering 52

Towards Data Science

APRIL 30, 2024

Balancing correctness, latency, and cost in unbounded data processing Image created by the author. Intro Google Dataflow is a fully managed data processing service that provides serverless unified stream and batch data processing. It is the first choice Google would recommend when dealing with a stream processing workload.

Google Cloud 92

Google Cloud Process Cloud Lambda Architecture 92