Precisely

OCTOBER 31, 2024

As data management grows increasingly complex, you need modern solutions that allow you to integrate and access your data seamlessly. Data mesh and data fabric are two modern data architectures that serve to enable better data flow, faster decision-making, and more agile operations.

Data Architecture 69

Data Architecture Architecture Metadata Government 69

Cloudera

SEPTEMBER 6, 2022

Data has continued to grow both in scale and in importance through this period, and today telecommunications companies are increasingly seeing data architecture as an independent organizational challenge, not merely an item on an IT checklist. Why telco should consider modern data architecture. The challenges.

Telecommunication 89

Telecommunication Data Architecture Architecture Government 89

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 91

Data Architecture Architecture Management Banking 91

KDnuggets

FEBRUARY 10, 2022

Going forward, data professionals have found a new way to address the scalability of sources through data mesh.

Data Architecture 108

Data Architecture Architecture IT Data 108

Cloudera

AUGUST 1, 2024

While every business has adopted some form of data architecture, the types they use vary widely. Leveraging Modern Data Architectures In today’s landscape, the only way to ensure data reliability is through the adoption of modern data architectures. EMEA and APAC regions.

Data Architecture 87

Data Architecture Architecture Deep Learning Data Security 87

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 84

Data Architecture Architecture Data Lake NoSQL 84

Cloudera

AUGUST 9, 2022

With all of the buzz around cloud computing, many companies have overlooked the importance of hybrid data. The truth is, the future of data architecture is all about hybrid. We’ve seen this from all of our customers and are emphasizing building and iterating on modern data architectures. Do we need more than one?

Data Architecture 98

Data Architecture Architecture Cloud Computing Cloud 98

KDnuggets

FEBRUARY 16, 2022

How to Learn Math for Machine Learning; Data Mesh & Its Distributed Data Architecture; 5 Ways to Apply AI to Small Data Sets; Top 5 Free Machine Learning Courses; Junior Data Scientist: The Next Level.

Machine Learning 108

Machine Learning Data Architecture Architecture IT 108

Confluent

OCTOBER 30, 2020

A fundamental challenge with today’s “data explosion” is finding the best answer to the question, “So where do I put my data?” while avoiding the longer-term problem of data warehouses, […].

Data Architecture 119

Data Architecture Architecture Kafka Building 119

databricks

APRIL 26, 2023

One of Lakehouse's outstanding achievements is the ability to combine workloads for modern use cases, such as traditional BI, machine learning & AI.

Data Architecture 119

Data Architecture Architecture BI Machine Learning 119

Snowflake

NOVEMBER 11, 2024

Whether it’s unifying transactional and analytical data with Hybrid Tables, improving governance for an open lakehouse with Snowflake Open Catalog or enhancing threat detection and monitoring with Snowflake Horizon Catalog , Snowflake is reducing the number of moving parts to give customers a fully managed service that just works.

Data Architecture 85

Data Architecture Architecture Data Lake Kafka 85

databricks

MAY 1, 2024

Modern data stacks provide the necessary flexibility and efficiency for analytics and AI. Learn how the Databricks Data Intelligence Platform makes use of them.

Data Architecture 125

Data Architecture Architecture Data 125

KDnuggets

APRIL 5, 2023

Learn about Apache Kafka architecture and its implementation using a real-world use case of a taxi booking app.

Kafka 108

Kafka Architecture Data Architecture Building 108

Cloudera

JULY 29, 2022

This does not mean ‘one of each’ – a public cloud data strategy and an on-prem data strategy. Rather, it means a holistic and comprehensive enterprise data strategy, spanning both, supported by a modern data architecture. . The telco industry has also increased its spend by 48% on similar initiatives. .

Data Architecture 94

Data Architecture Architecture Unstructured Data Government 94

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 80

Architecture Data Architecture Metadata Data Warehouse 80

Confluent

OCTOBER 25, 2024

Proceed further by establishing your own headless data architecture—formalizing a data access layer at the center of your org, accessible by both analytics and operations.

Data Architecture 59

Data Architecture Architecture Data Accessible 59

Confluent

OCTOBER 17, 2024

A headless data architecture separates data storage, management, optimization, and access from services that write, process, and query it—creating a single point of access control.

Data Architecture 59

Data Architecture Architecture Data Storage Data 59

Data Engineering Podcast

SEPTEMBER 7, 2020

For analytical use cases you often want to combine data across multiple sources and storage locations. This frequently requires cumbersome and time-consuming data integration. Summary Databases are limited in scope to the information that they directly contain.

Architecture 100

Architecture Data Architecture SQL Engineering 100

Cloudera

JUNE 27, 2023

The way to achieve this balance is by moving to a modern data architecture (MDA) that makes it easier to manage, integrate, and govern large volumes of distributed data. When you deploy a platform that supports MDA you can consolidate other systems, like legacy data mediation and disparate data storage solutions.

Data Architecture 65

Data Architecture Architecture Data Governance Government 65

Towards Data Science

OCTOBER 3, 2024

Three important lessons I have learned on my journey as data engineer and architect Continue reading on Towards Data Science »

Data Architecture 56

Data Architecture Architecture Data Science Data 56

Data Engineering Podcast

MAY 29, 2022

Summary A large fraction of data engineering work involves moving data from one storage location to another in order to support different access and query patterns. Singlestore aims to cut down on the number of database engines that you need to run so that you can reduce the amount of copying that is required.

Database 100

Database Architecture Data Architecture PostgreSQL 100

Hevo

DECEMBER 15, 2024

Introduction to Data Architecture Data architecture shows how data is managed, from collection to transformation to distribution and consumption. It tells about how data flows through the data storage systems. Data architecture is an important piece of data management.

Data Architecture 40

Data Architecture Architecture Data Storage Data 40

The Modern Data Company

JULY 29, 2024

BCG research reveals a striking trend: the number of unique data vendors in large companies has nearly tripled over the past decade, growing from about 50 to 150. This dramatic increase in vendors hasn’t led to the expected data revolution. It’s a final, frustrating hurdle in the race to become truly data-driven.

Data Architecture 52

Data Architecture Architecture Building Pipeline-centric 52

Striim

FEBRUARY 12, 2024

This approach can turn data challenges into advantages, helping companies grow, work more efficiently, and stand out in their industry. Want to see how Striim’s Data Mesh and AI can benefit your organization? The post Transforming Data Architecture through Data Mesh and Striim appeared first on Striim.

Data Architecture 52

Data Architecture Architecture Data Data Lake 52

KDnuggets

OCTOBER 30, 2023

A comparative overview of data warehouses, data lakes, and data marts to help you make informed decisions on data storage solutions for your data architecture.

Data Lake 145

Data Lake Data Warehouse Data Storage Data 145

Hevo

SEPTEMBER 17, 2024

Organizations have begun to built data warehouses and lakes to analyze large amounts of data for insights and business reports. Often time they bring data from multiple data silos into their data lake and also have data stored in particular data stores like NoSQL databases to support different use cases.

Data Architecture 40

Data Architecture Architecture NoSQL Data Lake 40

Start Data Engineering

AUGUST 29, 2021

You are given a quick overview of the business and data architecture and are assigned your very first data engineering task. Breakdown into sub-tasks 3.3. Delivering the finished task 4. Conclusion 5. Further reading 1. Introduction Congratulations!

Data Engineering 130

Data Engineering Data Engineer Engineering Data Architecture 130

Simon Späti

NOVEMBER 28, 2018

However, this is still not common in the Data Warehouse (DWH) field. 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. Why is this?

Data Warehouse 130

Data Warehouse Data Storage Data Architecture Architecture 130

Simon Späti

MAY 26, 2023

.” If you’ve journeyed with us from Part 1, where we dove into the importance and history of data modeling, or joined us in Part 2 to explore various approaches and techniques, I’m delighted you’ve stuck around. In this third part, we’ll delve into data architecture patterns and their influence on data modeling.

Architecture 130

Architecture Data Engineering Data Engineer Engineering 130

Simon Späti

MAY 26, 2023

.” If you’ve journeyed with us from Part 1, where we dove into the importance and history of data modeling, or joined us in Part 2 to explore various approaches and techniques, I’m delighted you’ve stuck around. In this third part, we’ll delve into data architecture patterns and their influence on data modeling.

Architecture 130

Architecture Data Engineering Data Engineer Engineering 130

Simon Späti

APRIL 3, 2023

This article is the first in a three-part series that will shine a spotlight on the fascinating world of data modeling, delving into its crucial importance within the broader context of data engineering.

Data Engineering 130

Data Engineering Data Engineer Engineering Data Architecture 130

Simon Späti

APRIL 3, 2023

This article is the first in a three-part series that will shine a spotlight on the fascinating world of data modeling, delving into its crucial importance within the broader context of data engineering.

Data Engineering 130

Data Engineering Data Engineer Engineering Data Architecture 130

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

Data Engineering Weekly

AUGUST 6, 2024

CDC tools fuel analytical apps and mission-critical data feeds in banking and regulated industries, with use cases ranging from data synchronization, managing risk, and preventing fraud to driving personalization. This approach simplifies data architecture and enhances performance by reducing data movement and latency.

Data Lake 126

Data Lake Data Warehouse Database Data Architecture 126

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 118

IT Unstructured Data Data Architecture Government 118

Cloudera

FEBRUARY 15, 2024

Seeing the future in a modern data architecture The key to successfully navigating these challenges lies in the adoption of a modern data architecture. The promise of a modern data architecture might seem like a distant reality, but we at Cloudera believe data can make what is impossible today, possible tomorrow.

Insurance 93

Insurance Banking Data Architecture Data Ingestion 93

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 Metadata Data Architecture 130