Monte Carlo

FEBRUARY 21, 2023

Today, as data sources become increasingly varied, data management becomes more complex, and agility and scalability become essential traits for data leaders, data fabric is quickly becoming the future of data architecture. If data fabric is the future, how can you get your organization up-to-speed?

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Data Engineering Podcast

JUNE 16, 2024

Your host is Tobias Macey and today I'm interviewing Kevin Liu about his use of Trino and Iceberg for Stripe's data lakehouse Interview Introduction How did you get involved in the area of data management? Can you describe what role Trino and Iceberg play in Stripe's data architecture?

Data Lake 147

Data Lake High Quality Data Metadata Machine Learning 147

Cloudera

OCTOBER 23, 2024

In August, we wrote about how in a future where distributed data architectures are inevitable, unifying and managing operational and business metadata is critical to successfully maximizing the value of data, analytics, and AI. They are free to choose the infrastructure best suited for each workload.

Metadata 83

Metadata BI Data Lake Business Intelligence 83

Cloudera

SEPTEMBER 29, 2022

Each of these trends claim to be complete models for their data architectures to solve the “everything everywhere all at once” problem. Data teams are confused as to whether they should get on the bandwagon of just one of these trends or pick a combination. First, we describe how data mesh and data fabric could be related.

Architecture 74

Architecture Data Architecture Metadata Data Warehouse 74

Snowflake

NOVEMBER 12, 2024

As part of Snowflake Unistore , Hybrid Tables unify both transactional and analytical workloads on a single database to simplify architectures as well as governance and security. "We are using Hybrid Tables as the backbone for our Data Services use cases,” says Ken Ostner, SVP of Data at Roofstock.

Food 71

Food Metadata Education AWS 71

Knowledge Hut

APRIL 20, 2023

Data governance refers to the set of policies, procedures, mix of people and standards that organisations put in place to manage their data assets. It involves establishing a framework for data management that ensures data quality, privacy, security, and compliance with regulatory requirements.

Data Governance 59

Data Governance Government Data Cleanse Data Security 59

AltexSoft

MARCH 2, 2023

As the amount of enterprise data continues to surge, businesses are increasingly recognizing the importance of data governance — the framework for managing an organization’s data assets for accuracy, consistency, security, and effective use. Projections show that the data governance market will expand from $1.81

Data Governance 52

Data Governance Government Programming Healthcare 52

Precisely

JULY 18, 2024

Key Takeaways Data Fabric is a modern data architecture that facilitates seamless data access, sharing, and management across an organization. Data management recommendations and data products emerge dynamically from the fabric through automation, activation, and AI/ML analysis of metadata.

Data Management 52

Data Management Management Metadata Database-centric 52

Snowflake

JUNE 21, 2024

Increasingly customers are looking to expand that powerful foundation to a broader set of data across their enterprise. Data is stored in open formats and interoperable across external compute engines. Augmenting Existing Data Lakes: Customers with existing data lakes want to tap into the power of the Snowflake platform.

Data Lake 114

Data Lake BI Business Intelligence Metadata 114

Monte Carlo

MAY 14, 2024

As organizations seek greater value from their data, data architectures are evolving to meet the demand — and table formats are no exception. At its core, a table format is a sophisticated metadata layer that defines, organizes, and interprets multiple underlying data files.

Data Lake 52

Data Lake Metadata Hadoop Data Governance 52

Cloudera

MAY 2, 2022

As digital transformation accelerates, and digital commerce increasingly becomes the dominant form of all commerce, regulators and governments around the world are recognizing the increased need for consumer protections and data protection measures.

Cloud 103

Cloud Government Healthcare Metadata 103

Cloudera

JUNE 7, 2022

Companies can now capitalize on the value in all their data, by delivering a hybrid data platform for modern data architectures with data anywhere. Cloudera Data Platform (CDP) is designed to address the critical requirements for modern data architectures today and tomorrow.

IT 112

IT Unstructured Data Data Architecture Government 112

Cloudera

FEBRUARY 22, 2022

Over the past decade, the successful deployment of large scale data platforms at our customers has acted as a big data flywheel driving demand to bring in even more data, apply more sophisticated analytics, and on-board many new data practitioners from business analysts to data scientists.

Metadata 109

Metadata Datasets BI SQL 109

Databand.ai

JULY 19, 2023

This capability is useful for businesses, as it provides a clear and comprehensive view of their data’s history and transformations. Data lineage tools are not a new concept. In this article: Why Are Data Lineage Tools Important? It provides context for data, making it easier to understand and manage.

Pipeline-centric 52

Pipeline-centric Data Governance Metadata Government 52

Snowflake

DECEMBER 12, 2023

To give customers flexibility for how they fit Snowflake into their data architecture, Iceberg Tables can be configured to use either Snowflake or an external service such as AWS Glue as the table’s catalog to track metadata, with an easy, one-line SQL command to convert the table’s catalog to Snowflake in a metadata-only operation.

Metadata 93

Metadata Python AWS Government 93

AltexSoft

FEBRUARY 11, 2023

This specialist works closely with people on both business and IT sides of a company to understand the current needs of the stakeholders and help them unlock the full potential of data. To get a better understanding of a data architect’s role, let’s clear up what data architecture is.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Monte Carlo

AUGUST 30, 2024

It’s our goal at Monte Carlo to provide data observability and quality across the enterprise by monitoring every system vital in the delivery of data from source to consumption. We started with popular modern data warehouses and quickly expanded our support as data lakes became data lakehouses.

SQL 40

SQL Engineering Data Lake High Quality Data 40

Cloudera

JUNE 30, 2022

With Cloudera’s vision of hybrid data , enterprises adopting an open data lakehouse can easily get application interoperability and portability to and from on premises environments and any public cloud without worrying about data scaling. Why integrate Apache Iceberg with Cloudera Data Platform?

Data Lake 88

Data Lake Business Intelligence Metadata Data Warehouse 88

Databand.ai

AUGUST 30, 2023

A DataOps architecture is the structural foundation that supports the implementation of DataOps principles within an organization. It encompasses the systems, tools, and processes that enable businesses to manage their data more efficiently and effectively. As a result, they can be slow, inefficient, and prone to errors.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Snowflake

NOVEMBER 2, 2023

And, since historically tools and commercial platforms were often designed to align with one specific architecture pattern, organizations struggled to adapt to changing business needs – which of course has implications on data architecture.

Data Lake 94

Data Lake Data Warehouse Cloud Unstructured Data 94

Cloudera

MARCH 23, 2022

In fact, we recently announced the integration with our cloud ecosystem bringing the benefits of Iceberg to enterprises as they make their journey to the public cloud, and as they adopt more converged architectures like the Lakehouse. 1: Multi-function analytics . 3: Open Performance.

Metadata 91

Metadata Data Architecture BI Machine Learning 91

Cloudera

NOVEMBER 17, 2022

We needed a solution to manage our data at scale, to provide greater experiences to our customers. With Cloudera Data Platform, we aim to unlock value faster and offer consistent data security and governance to meet this goal. Aqeel Ahmed Jatoi, Lead – Architecture, Governance and Control, Habib Bank Limited.

Banking 85

Banking Management Data Lake Professional Services 85

Monte Carlo

MAY 25, 2023

That’s why we’re excited to announce that uniting diverse data team personas to collectively ensure data quality just got easier, thanks to a new integration between Monte Carlo’s data observability platform and Atlan’s active metadata platform.

Metadata 52

Metadata Data Governance Government Business Intelligence 52

DataKitchen

AUGUST 3, 2021

The data mesh design pattern breaks giant, monolithic enterprise data architectures into subsystems or domains, each managed by a dedicated team. The communication between business units and data professionals is usually incomplete and inconsistent. Introduction to Data Mesh. Source: Thoughtworks.

Pharmaceutical 98

Pharmaceutical Data Lake Data Architecture Architecture 98

Data Engineering Podcast

SEPTEMBER 23, 2018

Can you walk through the stages of an ideal lifecycle for data within the context of an organizations uses for it? What are some of the common mistakes that are made when designing a data architecture and how do they lead to failure?

Data Lake 100

Data Lake Data Warehouse Data Architecture Architecture 100

Ascend.io

FEBRUARY 28, 2024

Metadata Management for Enhanced Machine Interpretation Data engineering extends its importance to the realm of metadata management, providing AI models with essential context about data definitions, classifications, and governance policies.

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

Cloudera

OCTOBER 11, 2022

First you need the data analytics, data management, and data science tools. They all should work on shared data of any type – with common metadata management – ideally open. Common security and governance becomes pretty important, if you are going to get to production.

Data Science 94

Data Science Aggregated Data Data Consulting 94

Cloudera

MARCH 17, 2023

As the use of ChatGPT becomes more prevalent, I frequently encounter customers and data users citing ChatGPT’s responses in their discussions. I love the enthusiasm surrounding ChatGPT and the eagerness to learn about modern data architectures such as data lakehouses, data meshes, and data fabrics.

Education 64

Education Unstructured Data Data Lake Data Warehouse 64

Rockset

JULY 21, 2020

Metadata services used for service discovery are close to the bottom of that stack and they need to provide 1 or 2 orders of magnitude higher reliability than any service built on top of that. Data APIs are better than data dumps.

Data Architecture 40

Data Architecture Architecture Building Data 40

Cloudera

JANUARY 5, 2023

Repatriating some machine learning workflows back on premise, where complex processes are more cost effective, to optimize cloud spend for compliance, governance, and security. They also address the concerns of IT teams in allowing access to organizational data. . Find out more about CDP for modern data architectures here.

Banking 52

Banking Machine Learning Insurance Data Architecture 52

Cloudera

SEPTEMBER 15, 2022

The consumption of the data should be supported through an elastic delivery layer that aligns with demand, but also provides the flexibility to present the data in a physical format that aligns with the analytic application, ranging from the more traditional data warehouse view to a graph view in support of relationship analysis.

Data Lake 82

Data Lake Analytics Application Cloud Storage Architecture 82

AltexSoft

AUGUST 29, 2023

Instead of relying on traditional hierarchical structures and predefined schemas, as in the case of data warehouses, a data lake utilizes a flat architecture. This structure is made efficient by data engineering practices that include object storage. Watch our video explaining how data engineering works.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Monte Carlo

APRIL 1, 2021

As a result, data teams going the the lake or even lakehouse route often struggle to answer critical questions about their data such as: Where does my data live? Data discovery tools and platforms can help. They help data teams answer questions about where to look for data, what data represents, and how it can be used.

Data Lake 52

Data Lake Unstructured Data Data Warehouse Metadata 52

AltexSoft

NOVEMBER 10, 2021

The pun being obvious, there’s more to that than just a new term: Data lakehouses combine the best features of both data lakes and data warehouses and this post will explain this all. What is a data lakehouse? Poor data quality, reliability, and integrity. Issues with data security and governance.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

Snowflake

JANUARY 26, 2023

initiatives, such as improving efficiency and reducing downtime by including broader data sets (both internal and external), offers businesses even greater value and precision in the results. This requires using specialized machine connector software for extracting data from these machines. Expanding on the key Industry 4.0

Data Ingestion 52

Data Ingestion Manufacturing Unstructured Data Architecture 52

Ascend.io

MARCH 14, 2023

We’re increasingly coming to realize that the rigid, monolithic architectures we’re currently using just don’t make the cut to store, organize, access, and use the ever-growing amounts of data. Thus, the data mesh follows the seams of organizational units. Thus, the data mesh follows the seams of organizational units.

Government 52

Government Architecture Data Lake Data 52

Ascend.io

MARCH 14, 2023

We’re increasingly coming to realize that the rigid, monolithic architectures we’re currently using just don’t make the cut to store, organize, access, and use the ever-growing amounts of data. Thus, the data mesh follows the seams of organizational units. Thus, the data mesh follows the seams of organizational units.

Government 52

Government Architecture Data Lake Data 52