Striim

NOVEMBER 8, 2023

Data Mesh is revolutionizing event streaming architecture by enabling organizations to quickly and easily integrate real-time data, streaming analytics, and more. In this article, we will explore the advantages and limitations of data mesh, while also providing best practices for building and optimizing a data mesh with Striim.

Architecture 52

Architecture Generalist Government Datasets 52

The Modern Data Company

FEBRUARY 2, 2023

Get to the Future Faster – Modernize Your Manufacturing Data Architecture Without Ripping and Replacing Implementing customer lifetime value as a mission-critical KPI has many challenges. Companies need consistent, high-quality data and a straightforward way to measure CLV.

Systems 52

Systems Manufacturing High Quality Data Data Architecture 52

Teradata

MARCH 11, 2021

Getting your Cloud data architecture right starts with understanding which data products you need, the roles they perform, & the functional & non-functional characteristics that those roles demand.

Cloud 110

Cloud Systems Data Architecture Architecture 110

Towards Data Science

OCTOBER 12, 2023

In recent decades, data architectures have grown increasingly diverse and complex. As a result of this complexity, data engineers more and more have to integrate a variety of data sources they are not necessarily familiar with. This is a fair point. To solve this we have to bring in some business knowledge to chatgpt.

Data Integration 71

Data Integration Systems Engineering Datasets 71

Rockset

JULY 21, 2020

90% of the apps in the world can be built on real-time data services. 90% of the features in your app can be built on real-time data services. 90% of the apps in the world can be built on real-time data services. 90% of the features in your app can be built on real-time data services. Embrace real-time services.

Data Architecture 40

Data Architecture Architecture Building Programming Language 40

AltexSoft

AUGUST 29, 2023

Data lakes emerged as expansive reservoirs where raw data in its most natural state could commingle freely, offering unprecedented flexibility and scalability. This article explains what a data lake is, its architecture, and diverse use cases. Who needs a data lake? Data warehouse vs. data lake in a nutshell.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Rockset

APRIL 26, 2023

In this post, we’ll get to the details: how does one design an RTA system? We’ve noticed many common patterns across streaming data architectures and we’ll be sharing a blueprint for three of the most popular: anomaly detection, IoT, and recommendations. Data lake : S3 is being used as the durable storage layer for IoT events.

Architecture 52

Architecture Transportation Data Lake Insurance 52

Monte Carlo

APRIL 16, 2022

The challenge with passive ETL or transformations in the warehouse The modern data warehouse architecture creates problems across many layers. There are several problems with an architecture and process that heavily relies on transforming data once it has entered the data warehouse.

Data Warehouse 52

Data Warehouse Architecture Data Government 52

ProjectPro

DECEMBER 7, 2021

Data pipelines are a significant part of the big data domain, and every professional working or willing to work in this field must have extensive knowledge of them. As data is expanding exponentially, organizations struggle to harness digital information's power for different business use cases. What is a Big Data Pipeline?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Towards Data Science

OCTOBER 25, 2023

Not too long ago, almost all data architectures and data team structures followed a centralized approach. As a data or analytics engineer, you knew where to find all the transformation logic and models because they were all in the same codebase. Your organization may be undergoing the decentralization of data.

Data Pipeline 82

Data Pipeline SQL Data Architecture Data 82

Cloudera

MARCH 28, 2024

But, even with the backdrop of an AI-dominated future, many organizations still find themselves struggling with everything from managing data volumes and complexity to security concerns to rapidly proliferating data silos and governance challenges.

Data Architecture 89

Data Architecture Architecture Data Lake Data 89

The Modern Data Company

MAY 2, 2023

The Modern Data Company Brief The Modern Data Company is radically simplifying data architecture with its paradigm-shifting data operating system, DataOS. We’re replacing overwhelm with composability, reinventing governance, and connecting legacy systems to your newest tools.

Data Architecture 98

Data Architecture Government Data Architecture 98

Knowledge Hut

MARCH 26, 2024

Solution architects work with developers, stakeholders, and other IT specialists to build unified and effective systems. Solutions Architect Careers: Overview Here's an overview of the demand and benefits of a career in Solutions Architecture: A. Proficiency in relevant technologies, frameworks, and architectural patterns.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

Cloudera

JUNE 7, 2022

In our very own Enterprise Data Maturity research surveying over 3,000 IT and senior business leaders, we found that 40% of organizations are currently running hybrid but mostly on-premises, and 36% of respondents expect to shift to hybrid multi-cloud in the next 18 months. Where data flows, ideas follow.

IT 108

IT Unstructured Data Data Architecture Government 108

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. Problem-solving skills.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

MARCH 28, 2024

They work together with stakeholders to get business requirements and develop scalable and efficient data architectures. Role Level Advanced Responsibilities Design and architect data solutions on Azure, considering factors like scalability, reliability, security, and performance.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Knowledge Hut

MARCH 22, 2024

Through collaboration, we provide cloud-based solutions based on AWS services like EC2, S3, and RDS and perform architecture design, performance optimization, and cost efficiency analysis. Learn cloud architecture, pass the certification exam, and unlock new career opportunities. Manage data storage and build dashboards for reporting.

AWS 52

AWS Amazon Web Services Cloud Computing Google Cloud 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. But first, let’s define the data mesh design pattern. The past decades of enterprise data platform architectures can be summarized in 69 words.

Pharmaceutical 98

Pharmaceutical Data Lake Data Architecture Scala 98

The Modern Data Company

JANUARY 31, 2023

Another year, another chance to learn more about the world of data. In 2023, The Modern Data Company (Modern) hopes to reach more companies and organizations with our data operating system, build incredible value from existing and upcoming data assets, and share insights into major shifts in what it means to be data-driven.

Retail 98

Retail Healthcare Data Architecture Data Pipeline 98

Data Engineering Podcast

SEPTEMBER 23, 2018

Join the community in the new Zulip chat workspace at dataengineeringpodcast.com/chat Your host is Tobias Macey and today I’m interviewing Todd Walter about data curation and how to architect your data systems to support high quality, maintainable intelligence Interview Introduction How did you get involved in the area of data management?

Data Lake 100

Data Lake Data Warehouse Data Architecture Architecture 100

Towards Data Science

DECEMBER 15, 2023

The Security Angle If we take the security-forward perspective, on the other hand, we have to admit that the larger the quantities of data we have — particularly if there are multiple systems of storage or processes influencing the data — the larger the risk of data breach. Do you keep all data forever?

Machine Learning 93

Machine Learning Data Science Data Security Data Storage 93

Snowflake

AUGUST 21, 2023

With demonstrable success across a range of industries, organizations are increasingly pursuing cutting-edge data mesh architectures to enhance self-service data use. This system quickly became unmanageable as Roche sought to make more efficient use of its data resources.

Pipeline-centric 52

Pipeline-centric Architecture Government Data Architect 52

Monte Carlo

MARCH 6, 2024

Table of Contents Supporting Multi-Database Architectures Keep An Eye On This Space Supporting Multi-Database Architectures We’ve been aggressively adding these integrations to better support complex data architectures. Curious about how data observability can help make your data platform more reliable?

Database 52

Database MySQL Data Warehouse AWS 52

Cloudera

DECEMBER 1, 2023

This requires a holistic approach that addresses the key areas of security, governance, and trustworthy data. A breach or compromise of AI systems can have severe consequences, potentially compromising sensitive citizen data or even disrupting critical services. million), among others.

Building 105

Building Government Transportation Data Governance 105

Simon Späti

NOVEMBER 28, 2018

In my recent blog, I researched OLAP technologies, for this post I chose some open-source technologies and used them together to build a full data architecture for a Data Warehouse system. I went with Apache Druid for data storage, Apache Superset for querying and Apache Airflow as a task orchestrator. Why is this?

Data Warehouse 130

Data Warehouse Data Storage Data Architecture Architecture 130

Cloudera

NOVEMBER 1, 2022

A quick trip in the congressional time machine to revisit 2017’s Modernizing Government Technology Act surfaces some of the most salient points regarding agencies’ challenges: The federal government spends nearly 75% of its annual information technology funding on operating and maintaining existing legacy information technology systems.

Cloud 84

Cloud Government Cloud Computing Data Architecture 84

Cloudera

JUNE 29, 2023

To ensure the stability of the US financial system, the implementation of advanced liquidity risk models and stress testing using (MI/AI) could potentially serve as a protective measure. To improve the way they model and manage risk, institutions must modernize their data management and data governance practices.

Data Architecture 82

Data Architecture Architecture Management Banking 82

Simon Späti

NOVEMBER 23, 2018

Are you on the lookout for a replacement for the Microsoft Analysis Cubes, are you looking for a big data OLAP system that scales ad libitum, do you want to have your analytics updated even real-time? In this blog, I want to show you possible solutions that are ready for the future and fits into existing data architecture.

Big Data 130

Big Data Data Architecture Architecture Systems 130

The Modern Data Company

DECEMBER 27, 2022

There can be many causes; an analysis found that the main cause for unplanned downtime is software system failure (27%), followed by hardware system failure (23%), human error (18%), network transmission failure (17%), and environmental factors (8%). Only around 7% of the system outages involved security-related incidents.

Data Architecture 52

Data Architecture Government Data Architecture 52

Knowledge Hut

MARCH 26, 2024

Being an enterprise architect myself, I can attest that this role goes beyond simply managing the current systems. It delves deeper, involving system analysis to identify outdated components and plan for future needs. Who is an Enterprise Architect and what do they do?

Business Analyst 52

Business Analyst Portfolio Certification Amazon Web Services 52

Knowledge Hut

DECEMBER 28, 2023

Hadoop can store data and run applications on cost-effective hardware clusters. Its data architecture is flexible, relevant, and schema-free. To learn more about this topic, explore our Big Data and Hadoop course. Diverse Data Processing: Hadoop supports various data types and complex analysis challenges.

Hadoop 52

Hadoop Project Datasets Big Data 52

The Modern Data Company

MAY 2, 2023

The Modern Data Company Brief The Modern Data Company is radically simplifying data architecture with its paradigm-shifting data operating system, DataOS. We’re replacing overwhelm with composability, reinventing governance, and connecting legacy systems to your newest tools.

Data Architecture 52

Data Architecture Government Data Architecture 52

Data Engineering Weekly

MARCH 3, 2024

Here is the agenda, 1) Data Application Lifecycle Management - Harish Kumar( Paypal) Hear from the team in PayPal on how they build the data product lifecycle management (DPLM) systems.

Data Engineering 67

Data Engineering Data Engineer Pipeline-centric Engineering 67

The Modern Data Company

MARCH 23, 2023

Technical debt is an ongoing issue no one should expect to square away because as technology advances, even today’s top systems will eventually achieve full “legacy” status. Unfortunately, many legacy systems are difficult to navigate and hard to query.

Data Lake 95

Data Lake Data Warehouse Architecture Systems 95

Cloudera

JULY 11, 2022

What used to be bespoke and complex enterprise data integration has evolved into a modern data architecture that orchestrates all the disparate data sources intelligently and securely, even in a self-service manner: a data fabric. Cloudera data fabric and analyst acclaim. Next steps.

Data Architecture 104

Data Architecture Architecture Data Government 104

Data Engineering Podcast

AUGUST 20, 2021

Summary Data lakes have been gaining popularity alongside an increase in their sophistication and usability. Despite improvements in performance and data architecture they still require significant knowledge and experience to deploy and manage. The data you’re looking for is already in your data warehouse and BI tools.

Building 100

Building Data Lake Data Warehouse SQL 100

Databand.ai

JUNE 28, 2023

“Observability” has become a bit of a buzzword so it’s probably best to define it: Data observability is the blanket term for monitoring and improving the health of data within applications and systems like data pipelines. Data observability vs. monitoring: what is the difference?

Data Pipeline 98

Data Pipeline Data Engineering Data Engineer Engineering 98