Cloudera

AUGUST 6, 2024

The most interesting thing about their choices is that, despite the millions of marketing dollars vendors spent trying to convince customers that they built the next greatest data platform, there has been no clear winner. The future for most data teams will be multi-cloud and hybrid. Open data is the future.

Metadata 82

Metadata Government Datasets Architecture 82

Cloudera

SEPTEMBER 28, 2020

Cloudera delivers an enterprise data cloud that enables companies to build end-to-end data pipelines for hybrid cloud, spanning edge devices to public or private cloud, with integrated security and governance underpinning it to protect customers data. OS – RHEL/CentOS/OEL 7.6/7.7/7.8 or Ubuntu 18.04.

Cloud 132

Cloud Kafka Professional Services Metadata 132

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

DECEMBER 3, 2024

REST Catalog Value Proposition It provides open, metastore-agnostic APIs for Iceberg metadata operations, dramatically simplifying the Iceberg client and metastore/engine integration. It provides real time metadata access by directly integrating with the Iceberg-compatible metastore. Follow the steps below to setup Cloudera: 1.

Metadata 84

Metadata SQL Data Warehouse Database 84

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

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 115

Data Lake Data Warehouse Cloud Unstructured Data 115

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

ProjectPro

JUNE 6, 2025

As the demand for big data grows, an increasing number of businesses are turning to cloud data warehouses. The cloud is the only platform to handle today's colossal data volumes because of its flexibility and scalability. Launched in 2014, Snowflake is one of the most popular cloud data solutions on the market.

Architecture 56

Architecture IT Data Warehouse Amazon Web Services 56

ProjectPro

JUNE 6, 2025

The result was Apache Iceberg, a modern table format built to handle the scale, performance, and flexibility demands of today’s cloud-native data architectures. Apache Iceberg Architecture 1. Metadata Layer 3. Data Layer What are the main use cases for Apache Iceberg? Let us explore more about it.

Architecture 40

Architecture Data Lake Metadata Cloud Storage 40

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

Teradata

MAY 30, 2025

`customer_demographics.sql`: Model for transforming customer demographic data. schema.yml`: YAML file defining metadata, tests, and descriptions for the models in this directory. sources: Contains source configuration files for the raw data sources. stg_customers.sql`: Staging model for transforming raw customer data.

Data Integration 52

Data Integration Raw Data Metadata Data Pipeline 52

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 Metadata Machine Learning Data Architecture 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

ProjectPro

JUNE 6, 2025

This blog post provides an overview of the top 10 data engineering tools for building a robust data architecture to support smooth business operations. Table of Contents What are Data Engineering Tools? It can also access structured and unstructured data from various sources.

Data Engineer 45

Data Engineer Data Engineering Engineering Kafka 45

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

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 118

Metadata Python Government AWS 118

ProjectPro

JUNE 6, 2025

Here is a list of some of the best data warehouse tools available to help organizations harness the power of their data: Amazon Redshift Amazon Redshift is a fully managed data warehousing service provided by Amazon Web Services (AWS) - a leading cloud computing platform. Practice makes a man perfect!

Data Storage 58

Data Storage PostgreSQL Data Warehouse AWS 58

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 BI Machine Learning 92

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 Government 124

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

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

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

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 Metadata 87

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 Data Warehouse 98

ProjectPro

JUNE 6, 2025

Becoming a Big Data Engineer - The Next Steps Big Data Engineer - The Market Demand An organization’s data science capabilities require data warehousing and mining, modeling, data infrastructure, and metadata management. Most of these are performed by Data Engineers. Who is a Big Data Engineer?

Big Data 40

Big Data Data Engineer Data Engineering Engineering 40

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

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

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 Consulting 85