databricks

JUNE 11, 2025

Last year, we unveiled data intelligence – AI that can reason on your enterprise data – with the arrival of the Databricks Mosaic AI stack for building and deploying agent systems. Agents deployed on AWS, GCP, or even on-premise systems can now be connected to MLflow 3 for agent observability.

Entertainment 64

Entertainment Manufacturing Consulting Retail 64

Netflix Tech

DECEMBER 19, 2024

Many of these projects are under constant development by dedicated teams with their own business goals and development best practices, such as the system that supports our content decision makers , or the system that ranks which language subtitles are most valuable for a specific piece ofcontent.

Machine Learning 85

Machine Learning Data Warehouse Project Coding 85

ProjectPro

JUNE 6, 2025

Such flexibility offered by MongoDB enables developers to utilize it as a user-friendly file-sharing system if and when they wish to share the stored data. MongoDB stores data in collections of JSON documents in a human-readable format. This data can be accessed and analyzed via several clients supported by MongoDB.

MongoDB 66

MongoDB Coding Project NoSQL 66

Snowflake

NOVEMBER 11, 2024

Ingest data more efficiently and manage costs For data managed by Snowflake, we are introducing features that help you access data easily and cost-effectively. This reduces the overall complexity of getting streaming data ready to use: Simply create external access integration with your existing Kafka solution.

Data Architecture 105

Data Architecture Architecture Data Lake Kafka 105

Netflix Tech

NOVEMBER 12, 2024

However, this category requires near-immediate access to the current count at low latencies, all while keeping infrastructure costs to a minimum. It allows users to choose between different counting modes, such as Best-Effort or Eventually Consistent , while considering the documented trade-offs of each option.

Datasets 103

Datasets Computer Science Systems Kafka 103

Snowflake

DECEMBER 4, 2024

For years, an essential tenet of digital transformation has been to make data accessible, to break down silos so that the enterprise can draw value from all of its data. Overall, data must be easily accessible to AI systems, with clear metadata management and a focus on relevance and timeliness.

Unstructured Data 97

Unstructured Data Data Lake Deep Learning Metadata 97

Snowflake

APRIL 9, 2025

Its Snowflake Native App, Digityze AI, is an AI-powered document intelligence platform that transforms unstructured biomanufacturing documentation into structured, actionable data and manages the document lifecycle.

Pharmaceutical 98

Pharmaceutical Manufacturing Data Ingestion SQL 98

Snowflake

APRIL 16, 2025

Instead of maintaining separate systems for structured data and image processing, data analysts and scientists can now work within the familiar Snowflake environment, using simple SQL to explore correlations between traditional metrics and visual intelligence. Sonnet excels at document understanding with an impressive 90.3%

Data Analysis 75

Data Analysis Unstructured Data Manufacturing Retail 75

ProjectPro

JUNE 6, 2025

You can read about the development of Tensorflow in the paper “TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems.” It is used for deploying machine learning models on specialized gRPC servers and provides remote access to them.

Deep Learning 97

Deep Learning Machine Learning Programming Language Python 97

ProjectPro

JUNE 6, 2025

AWS Glue Architecture and Components Source: AWS Glue Documentation AWS Glue Data Catalog Data Catalog is a massively scalable grouping of tables into databases. By using AWS Glue Data Catalog, multiple systems can store and access metadata to manage data in data silos. Establish a crawler schedule. doesn't match the classifier.

AWS 66

AWS Scala Metadata Data Lake 66

Snowflake

JUNE 10, 2025

Accessible data pipelines in SQL For many organizations, SQL pipelines offer the most accessible entry into data transformation, empowering a wider range of team members, such as data analysts, and thereby easing the burden on data engineers.

Data Pipeline 89

Data Pipeline SQL Python Building 89

dbt Developer Hub

APRIL 20, 2025

We are committed to building the data control plane that enables AI to reliably access structured data from across your entire data lineage. Both AI agents and business stakeholders will then operate on top of LLM-driven systems hydrated by the dbt MCP context. What is MCP? Why does this matter? MCP addresses this challenge.

Structured Data 98

Structured Data SQL BI Metadata 98

Netflix Tech

DECEMBER 17, 2024

Analytics Engineers deliver these insights by establishing deep business and product partnerships; translating business challenges into solutions that unblock critical decisions; and designing, building, and maintaining end-to-end analytical systems. Enter DataJunction (DJ).

Engineering 88

Engineering Entertainment Amazon Web Services Utilities 88

Snowflake

FEBRUARY 13, 2025

Furthermore, most vendors require valuable time and resources for cluster spin-up and spin-down, disruptive upgrades, code refactoring or even migrations to new editions to access features such as serverless capabilities and performance improvements. This also means that all customers run on the same software with the same capabilities.

Management 93

Management Government Cloud Unstructured Data 93

ProjectPro

JUNE 6, 2025

The CrewAI project landscape consists of a wide range of applications, from simple task automation to complex decision-making systems. The CrewAI framework offers a unique approach to building agentic AI systems by allowing multiple specialized agents to work together, mimicking human team dynamics.

Project 70

Project Building Recruitment Media 70

The Pragmatic Engineer

OCTOBER 18, 2024

Corporate conflict recap Automattic is the creator of open source WordPress content management system (CMS), and WordPress powers an incredible 43% of webpages and 65% of CMSes.  According to internal documents, OpenAI expects to generate $100B in revenue in 5 years, which is 25x more than it currently makes.

Government 356

Government Engineering Project AWS 356

The Pragmatic Engineer

OCTOBER 10, 2023

I wrote code for drivers on Windows, and started to put a basic observability system in place. EC2 had no observability system back then: people would spin up EC2 instances but have no idea whether or not they worked. With my team, we built the basics of what is now called AWS Systems Manager.

Software Engineer 318

Software Engineer Software Engineering Architecture Media 318

ProjectPro

JUNE 6, 2025

All thanks to Graph-theory-based-Knowledge-Graphs, AI systems can gauge beyond isolated facts, weaving together a web of meaning that imitates human understanding. Let us explore in detail how knowledge-graph-enhanced RAG systems are more efficient than basic RAG systems. How Knowledge Graphs Enhance RAGs?

Building 52

Building Unstructured Data Database Datasets 52

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. Table of Contents What is Cache Augmented Generation (CAG)?

Manufacturing 52

Manufacturing Database Datasets Systems 52

Snowflake

APRIL 13, 2025

Agentic AI refers to AI systems that act autonomously on behalf of their users. These systems make decisions, learn from interactions and continuously improve without constant human intervention. This results in more accurate outputs and actions compared to standard AI systems, facilitating autonomous decision-making.

Data Management 95

Data Management Management Consulting Unstructured Data 95

Snowflake

NOVEMBER 12, 2024

Managing application state and metadata Use Hybrid Tables as the system of record for application configuration, user profiles, workflow state and other metadata that needs to be accessed with high concurrency. Customers such as Siemens and PowerSchool are leveraging Hybrid Tables to track state for a wide variety of use cases.

Food 97

Food Metadata Education Data Architect 97

The Pragmatic Engineer

AUGUST 8, 2024

The experience is snappy: in 20 seconds, you always get an answer: This is how Klarna’s chatbot works On one hand, the bot is a tool that seems to find relevant parts of documentation, and then shares these sections. With clever-enough probing, this system prompt can be revealed. This feels word-by-word, or sometimes summarized.

IT 240

IT Software Engineer Software Engineering Systems 240

ProjectPro

JUNE 6, 2025

These AI system examples will have varying levels of difficulty as a beginner, intermediate, and advanced. Access the Instagram API with Python to get unlabelled comments from Instagram. Object Detection System Data Scientists who are just starting their careers can develop skills in the field of computer vision with this project.

Project 98

Project Datasets Deep Learning Machine Learning 98

ProjectPro

JUNE 6, 2025

Rapid Document Conversion This project aims to quickly and accurately convert the document to the desired format as selected by the user. Many of the document converters, such as PDF to word converters and others, are available online. You must have experienced the need to convert an HTML page/document into PDF format.

AWS 60

AWS Project Food Cloud Computing 60

Precisely

FEBRUARY 20, 2025

It enables faster decision-making, boosts efficiency, and reduces costs by providing self-service access to data for AI models. Data integration breaks down data silos by giving users self-service access to enterprise data, which ensures your AI initiatives are fueled by complete, relevant, and timely information. The result?

Data Integration 69

Data Integration Government Data Pipeline Datasets 69

ProjectPro

JUNE 6, 2025

For example, in building a PDF-based Q&A system (as we will later), the goal is to retrieve accurate information from large text files based on user queries. One thus requires Hugging Face's Transformers for models like Llama-2 LangChain for document processing and Q&A systems FAISS for efficient retrieval of relevant information.

Building 52

Building Datasets Architecture Systems 52

ProjectPro

JUNE 6, 2025

Discover projects like Customized Question Answering Systems, Contextual Chatbots, and Text Summarization. It's designed to enhance the capabilities of language models by incorporating a retriever module that can access and retrieve relevant information from a large external knowledge source, like a database or a collection of documents.

Project 45

Project Python Database PostgreSQL 45

ProjectPro

JUNE 6, 2025

have started supporting DevOps systemically on their platforms, including continuous integration and continuous development tools. With AWS DevOps, data scientists and engineers can access a vast range of resources to help them build and deploy complex data processing pipelines, machine learning models, and more.

AWS 61

AWS Project Medical Deep Learning 61

ProjectPro

JUNE 6, 2025

AWS CloudWatch With the help of AWS CloudWatch , you can consolidate all of your system, application, and AWS service logs into a single, highly scalable service. Amazon IAM AWS Identity and Access Management (IAM) is another popular AWS service that enables you to control access to AWS resources.

AWS 52

AWS Data Engineer Data Engineering Project 52

ProjectPro

JUNE 6, 2025

This refinement encompasses tasks like data cleaning , integration, and optimizing storage efficiency, all essential for making data easily accessible and dependable. This article will explore the top seven data warehousing tools that simplify the complexities of data storage, making it more efficient and accessible.

Data Storage 58

Data Storage PostgreSQL Data Warehouse AWS 58

Snowflake

JANUARY 28, 2025

Snowflake and many of its system integrator (SI) partners have leveraged SnowConvert to accelerate hundreds of migration projects. Now, any prospect or customer can simply complete a brief training to access this powerful migration solution. To get started and learn more about SnowConvert, please refer to SnowConvert documentation.

Data Warehouse 92

Data Warehouse Professional Services SQL Coding 92

Monte Carlo

APRIL 28, 2025

Not every solution out there is built the same, and if youve ever tried to wrangle documentation from scratch, you know how painful a clunky tool can be. This basically means the tool updates itself by pulling in changes to data structures from your systems. Its like a time machine for your documentation. Made a mistake?

Metadata 64

Metadata Hadoop Data SQL 64

ProjectPro

JUNE 6, 2025

“Being a successful data engineer is not about creating complex systems, but about simplifying complex data.” These practices dive into complex data flows and processes and help enhance clarity, simplicity, and efficiency in representing complex systems. Example- Consider a customer order management system for a business.

Data Workflow 40

Data Workflow Data Engineer Data Engineering Data Cleanse 40

ProjectPro

JUNE 6, 2025

stars, BeautifulSoup is one of the most helpful Python web scraping libraries for parsing HTML and XML documents into a tree structure to identify and extract data. It also automatically transforms incoming documents to Unicode and outgoing documents to UTF-8. It also provides developer accessibility. Python 2.7+

Python 49

Python Programming Language Data Science Data 49

Precisely

APRIL 7, 2025

Documentation: Many datasets are not accompanied by clear or up-to-date documentation. And even when there is documentation, people dont read it. Within your operations, stress the need to get and read documentation. This makes de-coding the data a challenge that may prevent potentially valuable data from being usable.

Retail 75

Retail Datasets Data Telecommunication 75

DataKitchen

NOVEMBER 5, 2024

This architecture is valuable for organizations dealing with large volumes of diverse data sources, where maintaining accuracy and accessibility at every stage is a priority. This foundational layer is a repository for various data types, from transaction logs and sensor data to social media feeds and system logs.

Architecture 79

Architecture Raw Data Pipeline-centric Data Ingestion 79

ProjectPro

JUNE 6, 2025

By seamlessly integrating external knowledge sources with pre-trained language models, RAG effectively mitigates several limitations inherent in traditional systems, leading to responses that are more accurate, contextually relevant, and rich in information. However, traditional RAG systems often face critical challenges.

Engineering 40

Engineering Datasets Finance Systems 40