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). Towards Data Science ). Deploying modern data architectures. Forrester ).

Architecture 77

Architecture Data Artificial Inteligence Artificial Intelligence 77

Cloudera

FEBRUARY 14, 2024

Introduction Apache Iceberg has recently grown in popularity because it adds data warehouse-like capabilities to your data lake making it easier to analyze all your data — structured and unstructured. You can also watch the webinar to learn more about Apache Iceberg and see the demo to learn the latest capabilities.

Strategy 56

Strategy Travel Groups Data 56

Hu's Place - HitachiVantara

JANUARY 3, 2019

In order to utilize the wealth of data that they already have, companies will be looking for solutions that will give comprehensive access to data from many sources. More focus will be on the operational aspects of data rather than the fundamentals of capturing, storing and protecting data.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Progress

DECEMBER 30, 2019

AWS Amplify is a good choice as a development platform when: Your team is proficient with building applications on AWS with DevOps, Cloud Services and Data Engineers. You’re developing a greenfield application that doesn’t require any external data or auth systems. You have existing backend services developed on AWS.

AWS 10

AWS DevOps Disaster Recovery Serverless 10

Altexsoft

NOVEMBER 7, 2022

You can hardly compare data engineering toil with something as easy as breathing or as fast as the wind. The platform went live in 2015 at Airbnb, the biggest home-sharing and vacation rental site, as an orchestrator for increasingly complex data pipelines. How data engineering works. Airflow architecture.

Weak Development Team 52

Weak Development Team Technical Review Software Review Systems Review 52

Cloudera

DECEMBER 14, 2020

One trend that we’ve seen this year, is that enterprises are leveraging streaming data as a way to traverse through unplanned disruptions, as a way to make the best business decisions for their stakeholders. . Today, a new modern data platform is here to transform how businesses take advantage of real-time analytics.

Analytics 69

Analytics Big Data Government Cloud 69

TIBCO - Connected Intelligence

JUNE 10, 2020

I recently teamed up with Austrian customer Raiffeisen Bank , Dutch partner Connected Data Group , and German partner QuinScape to deliver a webinar entitled “Next-Generation Data Virtualization Has Arrived.” Connected Data Group helps clients become more data-driven and was co-founded with Antoine Stelma.

Sport 62

Sport Data Virtualization Analytics 62

Cloudera

APRIL 9, 2021

However, legacy data warehouses have limited support for public and private cloud deployment architectures. Managing disparate solutions is operationally inefficient, provides an inconsistent user experience and often leads to increased risk due to a lack of common security, governance and lineage of data. . Efficiency.

Data 58

Data Software Review Technical Review Architecture 58

Cloudera

NOVEMBER 2, 2020

Data streamed in is queryable in conjunction with historical data, avoiding need for Lambda Architecture. Data Model. Conventional enterprise data types. Figure 1 below shows a standard architecture for a Real-Time Data Warehouse. Basic Architecture for Real-Time Data Warehousing.

Data 91

Data Analytics Storage Big Data 91

Cloudera

JUNE 4, 2018

A staging repository is central to this architecture as it supports highly-efficient content reuse and continuous updates. This enables data hub users to quickly access up-to-date content across the enterprise. Using a search engine to support all stages of a data hub project. compliance reporting.

Pharmaceuticals 46

Pharmaceuticals Data Big Data Systems Review 46

Cloudera

OCTOBER 26, 2023

Make unrestricted data available far and wide but govern it. Often that requires a centralized data engineering unit who manages data for everyone. With architectures like data mesh, that may change in the future. Future-proof the organization Agile companies are successful companies.

Culture 76

Culture Data Company Analytics 76