Cloudera

DECEMBER 6, 2024

The AI Forecast: Data and AI in the Cloud Era , sponsored by Cloudera, aims to take an objective look at the impact of AI on business, industry, and the world at large. It could be metadata that you weren’t capturing before. The post The Struggle Between Data Dark Ages and LLM Accuracy appeared first on Cloudera Blog.

Manufacturing 82

Manufacturing Retail Finance Metadata 82

Cloudera

JUNE 29, 2023

To improve the way they model and manage risk, institutions must modernize their data management and data governance practices. Implementing a modern data architecture makes it possible for financial institutions to break down legacy data silos, simplifying data management, governance, and integration — and driving down costs.

Data Architecture 85

Data Architecture Architecture Management Banking 85

Cloudera

AUGUST 30, 2022

Modern data architectures. To eliminate or integrate these silos, the public sector needs to adopt robust data management solutions that support modern data architectures (MDAs). Deploying modern data architectures. Lack of sharing hinders the elimination of fraud, waste, and abuse.

Data Architecture 79

Data Architecture Architecture Data Lake NoSQL 79

phData: Data Engineering

NOVEMBER 8, 2024

First, we create an Iceberg table in Snowflake and then insert some data. Then, we add another column called HASHKEY , add more data, and locate the S3 file containing metadata for the iceberg table. In the screenshot below, we can see that the metadata file for the Iceberg table retains the snapshot history.

Architecture 52

Architecture Systems Data Lake Google Cloud 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 113

Data Lake Data Warehouse Cloud Unstructured Data 113

Cloudera

SEPTEMBER 29, 2022

Data teams have the impossible task of delivering everything (data and workloads) everywhere (on premise and in all clouds) all at once (with little to no latency). Each of these trends claim to be complete models for their data architectures to solve the “everything everywhere all at once” problem.

Architecture 74

Architecture Data Architecture Metadata Data Warehouse 74

phData: Data Engineering

NOVEMBER 1, 2024

Organizations also need a better understanding of how LLMs are trained, especially with external vendors or public cloud environments. In sectors like legal services, safeguarding client data from being used in public apps or external training models is critical.

Government 52

Government Data Governance Finance Metadata 52

Data Engineering Podcast

SEPTEMBER 1, 2021

In recent months the community has focused their efforts on making it the fastest possible option for running your analytics in the cloud. In this episode Dipti Borkar discusses the work that she and her team are doing at Ahana to simplify the work of running your own PrestoDB environment in the cloud.

Data Lake 100

Data Lake Cloud AWS SQL 100

Precisely

JUNE 6, 2023

At Precisely’s Trust ’23 conference, Chief Operating Officer Eric Yau hosted an expert panel discussion on modern data architectures. The group kicked off the session by exchanging ideas about what it means to have a modern data architecture.

Data Architecture 52

Data Architecture Architecture Metadata Data Lake 52

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. Key Design Goals .

Metadata 110

Metadata Datasets BI SQL 110

Cloudera

JUNE 7, 2022

Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB. In fact, the total amount of data is expected to nearly triple by 2025. Only a fraction of data created is actually stored and managed, with analysts estimating it to be between 4 – 6 ZB in 2020.

IT 112

IT Unstructured Data Data Architecture Government 112

Data Engineering Podcast

JUNE 17, 2023

Sign up free at dataengineeringpodcast.com/rudderstack - Your host is Tobias Macey and today I'm interviewing Satish Jayanthi about the practice and promise of building a column-aware data architecture through intentional modeling Interview Introduction How did you get involved in the area of data management?

Data Lake 130

Data Lake Machine Learning Data Architecture Metadata 130

Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. Components of a Data Mesh. How CDF enables successful Data Mesh Architectures.

Architecture 124

Architecture Metadata Kafka Government 124

Monte Carlo

FEBRUARY 21, 2023

A data fabric is an architecture and associated data products that provide consistent capabilities across a variety of endpoints spanning multiple cloud environments. If data fabric is the future, how can you get your organization up-to-speed? Table of Contents What is a data fabric?

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Monte Carlo

FEBRUARY 21, 2023

A data fabric is an architecture and associated data products that provide consistent capabilities across a variety of endpoints spanning multiple cloud environments. If data fabric is the future, how can you get your organization up-to-speed? Table of Contents What is a data fabric?

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Data Engineering Podcast

JULY 3, 2022

Atlan is the metadata hub for your data ecosystem. Instead of locking your metadata into a new silo, unleash its transformative potential with Atlan’s active metadata capabilities. Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code.

Architecture 100

Architecture Metadata MongoDB MySQL 100

Cloudera

MARCH 23, 2022

Apache Iceberg is a high-performance, open table format, born-in-the cloud that scales to petabytes independent of the underlying storage layer and the access engine layer. By being a truly open table format, Apache Iceberg fits well within the vision of the Cloudera Data Platform (CDP). 1: Multi-function analytics .

Metadata 92

Metadata Data Architecture Machine Learning BI 92

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 114

Metadata Python Government Database 114

Data Engineering Podcast

SEPTEMBER 23, 2018

The Skafos platform from Metis Machine was built to give your data scientists the end-to-end support that they need throughout the machine learning lifecycle. Request a demo at dataengineeringpodcast.com/metis-machine to learn more about how Metis Machine is operationalizing data science.

Data Lake 100

Data Lake Data Warehouse Data Architecture Architecture 100

Snowflake

JUNE 21, 2024

Horizon’s governance features, like Row Access Policies and Dynamic Data Masking , work out of the box on Iceberg tables. Data sharing and collaboration: Leverage Iceberg data from anywhere with cross-cloud/cross-region support for externally managed Iceberg tables.

Data Lake 124

Data Lake BI Business Intelligence Metadata 124

Cloudera

JUNE 30, 2022

No more lock-in, unnecessary data transformations, or data movement across tools and clouds just to extract insights out of the data. With Shared Data Experience (SDX) which is built in to CDP right from the beginning, customers benefit from a common metadata, security, and governance model across all their data. .

Data Lake 88

Data Lake Business Intelligence Metadata Data Warehouse 88

Cloudyard

MARCH 4, 2023

Read Time: 5 Minute, 16 Second As we know Snowflake has introduced latest badge “Data Cloud Deployment Framework” which helps to understand knowledge in designing, deploying, and managing the Snowflake landscape. Respective Cloud would consume/Store the data in bucket or containers.

Architecture 52

Architecture Cloud Metadata Data Ingestion 52

AltexSoft

FEBRUARY 11, 2023

To get a better understanding of a data architect’s role, let’s clear up what data architecture is. Data architecture is the organization and design of how data is collected, transformed, integrated, stored, and used by a company. Sample of a high-level data architecture blueprint for Azure BI programs.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Cloudera

JULY 20, 2021

Build your data strategy around the convergence of software and hardware. Much of the AI done today in the enterprise is modeling in the cloud, but when we look at many of the exciting use cases around real-time AI inference, we see huge potential for business value.

Retail 106

Retail Telecommunication Manufacturing Insurance 106

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. Second-generation – gigantic, complex data lake maintained by a specialized team drowning in technical debt. Introduction to Data Mesh. See the pattern?

Pharmaceutical 98

Pharmaceutical Data Lake Data Architecture Architecture 98

Cloudera

OCTOBER 11, 2022

Different data types need different types of analytics – real-time, streaming, operational, data warehouses. As Mason said, all the data management, data analytics, and data science tools should easily work together and run against all this shared data. It should run on any cloud or on-prem.

Data Science 94

Data Science Aggregated Data Data Consulting 94

Cloudera

NOVEMBER 17, 2022

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. See other customers’ success here .

Banking 85

Banking Management Data Lake Professional Services 85

Cloudera

SEPTEMBER 15, 2022

A key area of focus for the symposium this year was the design and deployment of modern data platforms. Luke: Let’s talk about some of the fundamentals of modern data architecture. What is a data fabric? Ramsey International Modern Data Platform Architecture.

Data Lake 83

Data Lake Analytics Application Cloud Storage Architecture 83

Data Engineering Podcast

OCTOBER 14, 2019

Dataform is a platform that helps you apply engineering principles to your data transformations and table definitions, including unit testing SQL scripts, defining repeatable pipelines, and adding metadata to your warehouse to improve your team’s communication.

Data Warehouse 100

Data Warehouse PostgreSQL AWS Programming Language 100

Cloudera

JUNE 18, 2022

In recent years, the term “data lakehouse” was coined to describe this architectural pattern of tabular analytics over data in the data lake. In a rush to own this term, many vendors have lost sight of the fact that the openness of a data architecture is what guarantees its durability and longevity.

Data Lake 94

Data Lake Data Warehouse BI SQL 94

Cloudera

JULY 19, 2023

It is a replicated, highly-available service that is responsible for managing the metadata for all objects stored in Ozone. As Ozone scales to exabytes of data, it is important to ensure that Ozone Manager can perform at scale. The tool reads only the metadata for objects in a cluster with around 100 million keys.

Management 70

Management Metadata Datasets Architecture 70

Data Engineering Weekly

DECEMBER 29, 2022

Data Catalog as a passive web portal to display metadata requires significant rethinking to adopt modern data workflow, not just adding “modern” in its prefix. I know that is an expensive statement to make😊 To be fair, I’m a big fan of data catalogs, or metadata management , to be precise.

Metadata 62

Metadata Data Warehouse ETL Tools Data Workflow 62

Data Engineering Weekly

DECEMBER 16, 2024

Grab’s Metasense , Uber’s DataK9 , and Meta’s classification systems use AI to automatically categorize vast data sets, reducing manual efforts and improving accuracy. Beyond classification, organizations now use AI for automated metadata generation and data lineage tracking, creating more intelligent data infrastructures.

Data Engineer 62

Data Engineer Data Engineering Engineering Unstructured Data 62

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

Cloudera

MAY 22, 2019

The program recognizes organizations that are using Cloudera’s platform and services to unlock the power of data, with massive business and social impact. Cloudera’s data superheroes design modern data architectures that work across hybrid and multi-cloud and solve complex data management and analytic use cases spanning from the Edge to AI.

Pharmaceutical 56

Pharmaceutical Machine Learning Recruitment Data Architecture 56

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

Confluent

MAY 21, 2019

They are at the intersection of the way we develop software, the way we manage data, metadata and the interactions between teams. To illustrate, let’s look at two examples: Documented contracts: Pretend that you are a data scientist working for our imaginary insurance company. They are contract between teams.

Kafka 110

Kafka Insurance Architecture Database 110