Precisely

JANUARY 9, 2025

These are all big questions about the accessibility, quality, and governance of data being used by AI solutions today. The simple idea was, hey how can we get more value from the transactional data in our operational systems spanning finance, sales, customer relationship management, and other siloed functions.

Data Integration 119

Data Integration Hadoop Data Warehouse Data Lake 119

Engineering at Meta

JANUARY 22, 2025

It is a critical and powerful tool for scalable discovery of relevant data and data flows, which supports privacy controls across Metas systems. It enhances the traceability of data flows within systems, ultimately empowering developers to swiftly implement privacy controls and create innovative products. Hack, C++, Python, etc.)

Data Warehouse 119

Data Warehouse SQL Programming Language Data 119

Pinterest Engineering

JUNE 24, 2025

User code and data transformation are abstracted so they can be easily moved to any other data processing systems. Cross-Platform Abstraction : Abstracted data transformations can be run in serving systems or any other ML data processing framework such as Spark, PyTorch, Huggingface, etc. CUSTOM: For customized joining.

Software Engineering 74

Software Engineering Software Engineer Datasets Data Pipeline 74

Snowflake

NOVEMBER 6, 2024

But as technology speeds forward, organizations of all sizes are realizing that generative AI isn’t just aspirational: It’s accessible and applicable now. Alberta Health Services ER doctors automate note-taking to treat 15% more patients The integrated health system of Alberta, Canada’s third-most-populous province, with 4.5

Hospitality 95

Hospitality Medical Government Software Engineering 95

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 89

Machine Learning Data Warehouse Project Coding 89

KDnuggets

JULY 15, 2025

To put it simply, it is a system that collects data from various sources, transforms, enriches, and optimizes it, and then delivers it to one or more target destinations. Its key goals are to store data in a format that supports fast querying and scalability and to enable real-time or near-real-time access for decision-making.

Data Ingestion 103

Data Ingestion Data Pipeline Building Raw Data 103

Ascend.io

NOVEMBER 14, 2024

APIs facilitate communication between different systems, allowing data to flow seamlessly across platforms. Encrypting data both at rest and in transit ensures that sensitive information remains protected from unauthorized access. Access Controls Access controls are another critical component of data pipeline security.

Data Pipeline 52

Data Pipeline Amazon Web Services Data Data Integration 52

KDnuggets

JULY 17, 2025

Thus, securing suitable data is crucial for any data professional, and data pipelines are the systems designed for this purpose. Data pipelines are systems designed to move and transform data from one source to another. Load data into an accessible storage location. Transform data into a valid format.

Data Pipeline 105

Data Pipeline Python Building Data Science 105

Ascend.io

DECEMBER 4, 2024

On average, engineers spend over half of their time maintaining existing systems rather than developing new solutions. Are your tools simple to implement and accessible to users with diverse skill sets? Create a Plan for Integration: Automation tools need to work seamlessly with existing systems to be effective.

Data Pipeline 52

Data Pipeline Metadata Data Workflow Data 52

Zalando Engineering

JUNE 29, 2025

How can a system that continuously updates decisions consider these constantly changing and uncertain factors? The answer lies in building a dynamic inventory optimisation system. This requires a scalable and efficient forecasting system.

Systems 40

Systems Building AWS Algorithm 40

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 109

Entertainment Manufacturing Retail Consulting 109

ProjectPro

JUNE 6, 2025

Data ingestion systems such as Kafka , for example, offer a seamless and quick data ingestion process while also allowing data engineers to locate appropriate data sources, analyze them, and ingest data for further processing. It can also access structured and unstructured data from various sources.

Data Engineering 45

Data Engineering Data Engineer Engineering Kafka 45

Netflix Tech

MARCH 28, 2025

By Ko-Jen Hsiao , Yesu Feng and Sudarshan Lamkhede Motivation Netflixs personalized recommender system is a complex system, boasting a variety of specialized machine learned models each catering to distinct needs including Continue Watching and Todays Top Picks for You. Refer to our recent overview for more details).

Metadata 92

Metadata Bytes Entertainment Data Mining 92

Cloudera

NOVEMBER 13, 2024

Several LLMs are publicly available through APIs from OpenAI , Anthropic , AWS , and others, which give developers instant access to industry-leading models that are capable of performing most generalized tasks.

Datasets 87

Datasets Machine Learning Coding Data Preparation 87

Data Engineering Weekly

JUNE 22, 2025

[link] Booking.com: Unlocking the Power of Customization: How Our Enrichment System Transforms Recommendation Data Enrichments Booking.com shares how it revamped its Recommendation Platform’s enrichment layer to tackle issues of tight coupling and low reusability when attaching data like prices, wishlist counts, and images to recommendations.

Data Engineering 52

Data Engineering Data Engineer Engineering Manufacturing 52

databricks

JUNE 11, 2025

Last year, the promise of data intelligence – building AI that can reason over your data – arrived with Mosaic AI, a comprehensive platform for building, evaluating, monitoring, and securing AI systems. Too many knobs : Agents are complex AI systems with many components, each that have their own knobs.

Entertainment 139

Entertainment Manufacturing Retail Consulting 139

Snowflake

NOVEMBER 21, 2024

Sync audience and guest data to email platforms, customer relationship management (CRM) systems, advertising platforms or any other marketing tool that drives personalized travel experiences. A Composable CDP benefits from Snowflake’s built-in governance to help customers manage how data is accessed.

Hospitality 105

Hospitality Entertainment Data Governance Government 105

Precisely

NOVEMBER 18, 2024

With the surge of new tools, platforms, and data types, managing these systems effectively is an ongoing challenge. Ultimately, they are trying to serve data in their marketplace and make it accessible to business and data consumers,” Yoğurtçu says. However, they require a strong data foundation to be effective.

Data Analytics 72

Data Analytics Data Governance Government Data Integration 72

Ascend.io

OCTOBER 28, 2024

This technique is vital for ensuring consistency and accuracy across datasets, especially in organizations that rely on multiple data systems. Integration facilitates seamless data flow and accessibility, which is crucial for real-time analytics and decision-making.

Raw Data 52

Raw Data Aggregated Data Data Pipeline Data Validation 52

Pinterest Engineering

JULY 11, 2025

Introduction Encouraged by its growing popularity and increasing adoption in the Big Data community, we explored Kubernetes (K8s)-based systems as the most likely replacement for Hadoop 2.x. Built-in Container Support Unlike Hadoop, Kubernetes was built as a container orchestration system, first and foremost.

Data Process 58

Data Process Process Hadoop AWS 58

Engineering at Meta

APRIL 28, 2025

Meta’s vast and diverse systems make it particularly challenging to comprehend its structure, meaning, and context at scale. We discovered that a flexible and incremental approach was necessary to onboard the wide variety of systems and languages used in building Metas products. We believe that privacy drives product innovation.

Metadata 86

Metadata Data Utilities Data Warehouse 86

ThoughtSpot

NOVEMBER 5, 2024

ThoughtSpot prioritizes the high availability and minimal downtime of our systems to ensure a seamless user experience. In the realm of modern analytics platforms, where rapid and efficient processing of large datasets is essential, swift metadata access and management are critical for optimal system performance.

Metadata 52

Metadata PostgreSQL Java Database 52

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 Engineering Data Engineer Project 52

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 92

Engineering Entertainment Amazon Web Services Utilities 92

databricks

JUNE 12, 2025

With a beautiful and streamlined user interface as well as access to curated AI/BI Genie spaces, Dashboards and Databricks Apps, Databricks One is designed to help business teams make smarter decisions without needing to be expert technical practitioners. The full Databricks One experience will enter beta later this summer.

BI 114

BI Entertainment Manufacturing Retail 114

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

To eliminate data redundancy, data modeling brings together data from diverse systems. It makes data more accessible. A primary key is a column or set of columns in a relational database management system table that uniquely identifies each record. What is a hierarchical database management system (DBMS)?

Data Warehouse 53

Data Warehouse NoSQL PostgreSQL Relational Database 53

Edureka

APRIL 22, 2025

Meanwhile, customers are responsible for protecting resources within the cloud, including operating systems, applications, data, and the configuration of security controls such as Identity and Access Management (IAM) and security groups. Shared Controls Responsibilities are split between AWS and the customer.

Amazon Web Services 40

Amazon Web Services AWS Cloud Data Governance 40

Monte Carlo

JULY 8, 2025

Building Reliable Foundations for Data + AI Systems It’s no big revelation that data teams are being challenged to do more with AI. But when it comes to AI systems, the playbook for trust is still largely unwritten. Pipelines can traverse a multitude of systems and teams with limited oversight. But AI ≠ traditional software.

Unstructured Data 52

Unstructured Data BI Metadata High Quality Data 52

ProjectPro

JUNE 6, 2025

As a big data architect or a big data developer, when working with Microservices-based systems, you might often end up in a dilemma whether to use Apache Kafka or RabbitMQ for messaging. Apache Kafka and RabbitMQ are messaging systems used in distributed computing to handle big data streams– read, write, processing, etc.

Kafka 72

Kafka Java Big Data Architecture 72

ProjectPro

JUNE 6, 2025

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Data Engineer Jobs- The Demand Data Scientist was declared the sexiest job of the 21st century about ten years ago. The role of a data engineer is to use tools for interacting with the database management systems.

Data Engineering 58

Data Engineering Data Engineer Engineering Amazon Web Services 58

Data Engineering Weekly

JANUARY 15, 2025

The answer lies in unstructured data processing—a field that powers modern artificial intelligence (AI) systems. To address these challenges, AI Data Engineers have emerged as key players, designing scalable data workflows that fuel the next generation of AI systems. How does a self-driving car understand a chaotic street scene?

Data Engineering 64

Data Engineering Data Engineer Unstructured Data Engineering 64

phData: Data Engineering

NOVEMBER 1, 2024

It serves as a vital protective measure, ensuring proper data access while managing risks like data breaches and unauthorized use. Strong data governance also lays the foundation for better model performance, cost efficiency, and improved data quality, which directly contributes to regulatory compliance and more secure AI systems.

Government 52

Government Data Governance Finance Metadata 52

ProjectPro

JUNE 6, 2025

Data pipelines are crucial in managing the information lifecycle, ensuring its quality, reliability, and accessibility. Check out the following insightful post by Leon Jose , a professional data analyst, shedding light on the pivotal role of data pipelines in ensuring data quality, accessibility, and cost savings for businesses.

Data Pipeline 49

Data Pipeline Google Cloud AWS Kafka 49

Monte Carlo

NOVEMBER 12, 2024

Uber stores its data in a combination of Hadoop and Cassandra for high availability and low latency access. Every time you play, skip, or save a song, Spotify notes the behavior and passes it to their recommendation system through Kafka. Flink then gets to work finding the nearest available driver and calculating your fare.

Architecture 96

Architecture Data Engineering Data Engineer Engineering 96

Snowflake

JANUARY 15, 2025

Vector and raster each have their use cases, and sometimes you need to access both; the quickstart tackles that head-on. But really, these are just representative files to showcase how we can access these types of files in Snowflake and ultimately use them in a specific analysis. Load the shapefile. Running Kepler.gl

Transportation 94

Transportation BI Database-centric Metadata 94

RudderStack

JUNE 24, 2025

Manager, Technical Marketing Content Get the newsletter Subscribe to get our latest insights and product updates delivered to your inbox once a month As organizations adopt more tools and platforms, their data becomes increasingly fragmented across systems. And as the global data integration market is projected to grow from $17.10

IT 59

IT Data Consolidation Metadata Government 59