Monte Carlo

OCTOBER 31, 2024

Key Differences Between AI Data Engineers and Traditional Data Engineers While traditional data engineers and AI data engineers have similar responsibilities, they ultimately differ in where they focus their efforts. Challenges Faced by AI Data Engineers Just because “AI” involved doesn’t mean all the challenges go away!

Data Engineer 52

Data Engineer Data Engineering Engineering Unstructured Data 52

AltexSoft

MAY 12, 2023

In today’s data-driven world, organizations amass vast amounts of information that can unlock significant insights and inform decision-making. A staggering 80 percent of this digital treasure trove is unstructured data, which lacks a pre-defined format or organization. What is unstructured data?

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Data Engineering Podcast

JUNE 26, 2022

In this episode Isaac Brodsky explains how the Unfolded platform is architected, their experience joining the team at Foursquare, and how you can start using it for analyzing your spatial data today. Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows.

Datasets 130

Datasets Unstructured Data Metadata MongoDB 130

phData: Data Engineering

NOVEMBER 1, 2024

Quotes It's extremely important because many of the Gen AI and LLM applications take an unstructured data approach, meaning many of the tools require you to give the tools full access to your data in an unrestricted way and let it crawl and parse it completely.

Government 52

Government Data Governance Finance Metadata 52

Data Engineering Podcast

JUNE 19, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Metadata 130

Metadata Unstructured Data MongoDB MySQL 130

Snowflake

APRIL 22, 2025

To pile onto the challenge, the vast majority of any companys data is unstructured think PDFs, videos and images. So to capitalize on AI's potential, you need a platform that supports structured and unstructured data without compromising accuracy, quality and governance. 51% say data preparation is too hard.

IT 53

IT Unstructured Data Government Cloud 53

Snowflake

FEBRUARY 13, 2025

Lastly, companies have historically collaborated using inefficient and legacy technologies requiring file retrieval from FTP servers, API scraping and complex data pipelines. These processes were costly and time-consuming and also introduced governance and security risks, as once data is moved, customers lose all control.

Management 84

Management Government Cloud Unstructured Data 84

Snowflake

NOVEMBER 2, 2023

Over the years, the technology landscape for data management has given rise to various architecture patterns, each thoughtfully designed to cater to specific use cases and requirements. Use cases change, needs change, technology changes – and therefore data infrastructure should be able to scale and evolve with change.

Data Lake 114

Data Lake Data Warehouse Cloud Unstructured Data 114

Snowflake

NOVEMBER 11, 2024

What if you could streamline your efforts while still building an architecture that best fits your business and technology needs? Snowflake is committed to doing just that by continually adding features to help our customers simplify how they architect their data infrastructure. Here’s a closer look.

Data Architecture 105

Data Architecture Architecture Data Lake Kafka 105

Cloudera

JUNE 7, 2022

In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB. The future is hybrid data, embrace it.

IT 112

IT Unstructured Data Data Architecture Government 112

Cloudera

FEBRUARY 8, 2021

Adding more wires and throwing more compute hardware to the problem is simply not viable considering the cost and complexities of today’s connected cars or the additional demands designed into electric cars (like battery management systems and eco-trip planning).

Manufacturing 108

Manufacturing Machine Learning Data Ingestion Electronics 108

Data Engineering Weekly

OCTOBER 11, 2024

The data world is abuzz with speculation about the future of data engineering and the successor to the celebrated modern data stack. While the modern data stack has undeniably revolutionized data management with its cloud-native approach, its complexities and limitations are becoming increasingly apparent.

Manufacturing 109

Manufacturing Transportation Data Warehouse Unstructured Data 109

phData: Data Engineering

NOVEMBER 8, 2024

Track data files within the table along with their column statistics. Open table formats enable efficient data management and retrieval by storing these files chronologically, with a history of DDL and DML actions and an index of data file locations. Log all Inserts, Updates, and Deletes (DML) applied to the table.

Architecture 52

Architecture Systems Data Lake Google Cloud 52

Cloudera

MAY 14, 2024

Hybrid cloud plays a central role in many of today’s emerging innovations—most notably artificial intelligence (AI) and other emerging technologies that create new business value and improve operational efficiencies. But getting there requires data, and a lot of it. Data comes in many forms. What do we mean by ‘true’ hybrid?

Cloud 99

Cloud Data Governance Unstructured Data Data Architecture 99

The Modern Data Company

MAY 8, 2023

Data lakes, data warehouses, data hubs, data lakehouses, and data operating systems are data management and storage solutions designed to meet different needs in data analytics, integration, and processing.

Data Management 52

Data Management Management Data Lake Data Governance 52

The Modern Data Company

MAY 8, 2023

Data lakes, data warehouses, data hubs, data lakehouses, and data operating systems are data management and storage solutions designed to meet different needs in data analytics, integration, and processing.

Data Management 52

Data Management Management Data Lake Data Governance 52

Data Engineering Podcast

FEBRUARY 24, 2019

Summary Deep learning is the latest class of technology that is gaining widespread interest. As data engineers we are responsible for building and managing the platforms that power these models. What are some ways that we can use deep learning as part of the data management process?

Deep Learning 100

Deep Learning Data Engineer Data Engineering Engineering 100

The Modern Data Company

MAY 8, 2023

Data lakes, data warehouses, data hubs, data lakehouses, and data operating systems are data management and storage solutions designed to meet different needs in data analytics, integration, and processing.

Data Management 52

Data Management Management Data Lake Data Governance 52

The Modern Data Company

MAY 10, 2023

In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. What factors are most important when building a data management ecosystem?

Data Management 52

Data Management Management Data Lake Data Warehouse 52

Snowflake

APRIL 8, 2024

In fact, 8 of the 10 startups in our semi-finalist list plan to use one or both of these technologies in their offerings. Their analytics-first approach to healthcare leverages AI-powered insights and workflows through natively integrated data management, analytics and care management solutions.

Pipeline-centric 131

Pipeline-centric Food Healthcare Unstructured Data 131

The Modern Data Company

MAY 10, 2023

In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. What factors are most important when building a data management ecosystem?

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

MAY 10, 2023

In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. What factors are most important when building a data management ecosystem?

Data Management 52

Data Management Management Data Lake Data Warehouse 52

Data Engineering Podcast

JUNE 12, 2022

In this episode she shares her thoughts and insights on how to be intentional about establishing your own data team. Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows. Unstruk is the DataOps platform for your unstructured data.

Metadata 100

Metadata Unstructured Data Business Intelligence MongoDB 100

Data Engineering Weekly

MARCH 5, 2025

The modern data stack constantly evolves, with new technologies promising to solve age-old problems like scalability, cost, and data silos. Data ingestion tools often create numerous small files, which can degrade performance during query execution.

Hadoop 57

Hadoop Metadata Data Ingestion Data Governance 57

Snowflake

NOVEMBER 29, 2023

Data cloud technology can accelerate FAIRification of the world’s biomedical patient data. Next-generation sequencing (NGS) technology has dramatically dropped the price of genomic sequencing, from about $1 million in 2007 to $600 today per whole genome sequencing (WGS).

Metadata 109

Metadata Healthcare Medical Data Storage 109

Cloudera

JULY 29, 2021

Public, private, hybrid or on-premise data management platform. Analytics that are simple to use and manage for actionable insights. Structure for unstructured data sources such as clinical & physician notes, photos, etc. Security and governance in a hybrid environment.

Healthcare 102

Healthcare Unstructured Data Government Machine Learning 102

The Modern Data Company

JANUARY 22, 2024

The Modern Story: Navigating Complexity and Rethinking Data in The Business Landscape Enterprises face a data landscape marked by the proliferation of IoT-generated data, an influx of unstructured data, and a pervasive need for comprehensive data analytics.

Data Integration 98

Data Integration Metadata Government Unstructured Data 98

Data Engineering Podcast

SEPTEMBER 14, 2020

In this episode Dale Kim shares how Hazelcast is implemented, the use cases that it enables, and how it complements on-disk data management systems. If you hand a book to a new data engineer, what wisdom would you add to it? What are the benefits and tradeoffs of in-memory computation for data-intensive workloads?

Process 100

Process Unstructured Data Metadata Data Engineering 100

Cloudera

OCTOBER 7, 2021

Within the context of a data mesh architecture, I will present industry settings / use cases where the particular architecture is relevant and highlight the business value that it delivers against business and technology areas. need to integrate multiple “point solutions” used in a data ecosystem) and organization reasons (e.g.,

Architecture 124

Architecture Metadata Kafka Government 124

Data Engineering Podcast

JULY 31, 2022

In this episode Ernie Ostic shares the approach that he and his team at Manta are taking to build a complete view of data lineage across the various data systems in your organization and the useful applications of that information in the work of every data stakeholder. Data lineage and metadata systems are a hot topic right now.

IT 100

IT Metadata MongoDB MySQL 100

Cloudera

OCTOBER 28, 2020

To start, they look to traditional financial services data, combining and correlating account activity, borrowing history, core banking, investments, and call center data. Rabobank runs sophisticated machine learning algorithms and financial models to help customers manage their financial obligations, including loan repayments. .

Unstructured Data 74

Unstructured Data Banking Machine Learning Media 74

Cloudera

DECEMBER 11, 2020

Based in Germany, Merck KGaA is one of the leading science and technology companies, operating across healthcare, life science, and performance materials business areas. From advancing gene-editing technologies and discovering unique ways to treat the most challenging diseases, to enabling the intelligence of devices.

Data Lake 98

Data Lake Government Data Security Unstructured Data 98

Knowledge Hut

JANUARY 18, 2024

Data Science has risen to become one of the world's topmost emerging multidisciplinary approaches in technology. Recruiters are hunting for people with data science knowledge and skills these days. Data Scientists collect, analyze, and interpret large amounts of data. Monitor data loading and queries.

Data Science 98

Data Science Business Analyst Data Architect ETL Method 98

The Modern Data Company

JANUARY 22, 2024

The Modern Story: Navigating Complexity and Rethinking Data in The Business Landscape Enterprises face a data landscape marked by the proliferation of IoT-generated data, an influx of unstructured data, and a pervasive need for comprehensive data analytics.

Data Integration 87

Data Integration Metadata Government Unstructured Data 87

Cloudera

AUGUST 8, 2024

Cloudera’s data lakehouse provides enterprise users with access to structured, semi-structured, and unstructured data, enabling them to analyze, refine, and store various data types, including text, images, audio, video, system logs, and more.

Pharmaceutical 72

Pharmaceutical Unstructured Data Government Data Ingestion 72

Data Engineering Podcast

NOVEMBER 27, 2022

The Arrow project is designed to eliminate wasted effort in translating between languages, and Voltron Data was created to help grow and support its technology and community. Can you describe what you are building at Voltron Data and the story behind it? images, documents, etc.) What do you have planned for the future of Arrow?

Data Process 100

Data Process Process Metadata Business Intelligence 100

Cloudera

SEPTEMBER 12, 2022

Organizations don’t know what they have anymore and so can’t fully capitalize on it — the majority of data generated goes unused in decision making. And second, for the data that is used, 80% is semi- or unstructured. Both obstacles can be overcome using modern data architectures, specifically data fabric and data lakehouse.

Unstructured Data 75

Unstructured Data Data Lake Data Architecture Data 75