Precisely

JANUARY 9, 2025

The goal of this post is to understand how data integrity best practices have been embraced time and time again, no matter the technology underpinning. In the beginning, there was a data warehouse The data warehouse (DW) was an approach to data architecture and structured data management that really hit its stride in the early 1990s.

Data Integration 118

Data Integration Hadoop Data Warehouse Data Lake 118

Cloudera

AUGUST 1, 2024

The survey, ‘ The State of Enterprise AI and Modern Data Architecture ’ uncovered the challenges and barriers that exist with AI adoption, current enterprise AI deployment plans, and the state of data infrastructures and data management. EMEA and APAC regions.

Data Architecture 82

Data Architecture Architecture Deep Learning Data Security 82

phData: Data Engineering

NOVEMBER 8, 2024

The world we live in today presents larger datasets, more complex data, and diverse needs, all of which call for efficient, scalable data systems. Open Table Format (OTF) architecture now provides a solution for efficient data storage, management, and processing while ensuring compatibility across different platforms.

Architecture 52

Architecture Systems Data Lake Google Cloud 52

Cloudera

AUGUST 30, 2022

Agencies are plagued by a wide range of data formats and storage environments—legacy systems, databases, on-premises applications, citizen access portals, innumerable sensors and devices, and more—that all contribute to a siloed ecosystem and the data management challenge. . Modern data architectures. Forrester ).

Data Architecture 79

Data Architecture Architecture Data Lake NoSQL 79

Data Engineering Podcast

SEPTEMBER 7, 2020

In this episode he explains how it is designed to allow for querying and combining data where it resides, the use cases that such an architecture unlocks, and the innovative ways that it is being employed at companies across the world. If you hand a book to a new data engineer, what wisdom would you add to it?

Architecture 100

Architecture Data Architecture SQL Engineering 100

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. Introduction to the Data Mesh Architecture and its Required Capabilities.

Architecture 124

Architecture Metadata Kafka Government 124

Data Engineering Podcast

MAY 29, 2022

In this episode SVP of engineering Shireesh Thota describes the impact on your overall system architecture that Singlestore can have and the benefits of using a cloud-native database engine for your next application. Can you describe what SingleStore is and the story behind it? What do you have planned for the future of SingleStore?

Database 100

Database Architecture Data Architecture PostgreSQL 100

Cloudera

JULY 29, 2022

The next step will be for telecom operators to continue tapping into these customer-centric data sources to develop novel ways of meeting customer needs that ultimately translate to an improved overall experience. This does not mean ‘one of each’ – a public cloud data strategy and an on-prem data strategy.

Data Architecture 89

Data Architecture Architecture Unstructured Data Government 89

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 62

Data Architecture Architecture Data Governance Government 62

Data Engineering Podcast

JULY 3, 2022

Summary The ecosystem for data tools has been going through rapid and constant evolution over the past several years. These technological shifts have brought about corresponding changes in data and platform architectures for managing data and analytical workflows. BigQuery, Redshift, Snowflake, Firebolt, etc.)

Architecture 100

Architecture Metadata MongoDB MySQL 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

Monte Carlo

FEBRUARY 21, 2023

Enter data fabric: a data management architecture designed to serve the needs of the business, not just those of data engineers. A data fabric is an architecture and associated data products that provide consistent capabilities across a variety of endpoints spanning multiple cloud environments.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Monte Carlo

FEBRUARY 21, 2023

Enter data fabric: a data management architecture designed to serve the needs of the business, not just those of data engineers. A data fabric is an architecture and associated data products that provide consistent capabilities across a variety of endpoints spanning multiple cloud environments.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Cloudera

DECEMBER 17, 2024

Since 5G networks began rolling out commercially in 2019, telecom carriers have faced a wide range of new challenges: managing high-velocity workloads, reducing infrastructure costs, and adopting AI and automation. As more data is processed, carriers increasingly need to adopt hybrid cloud architectures to balance different workload demands.

Building 62

Building Telecommunication Data Architecture Architecture 62

The Modern Data Company

JULY 29, 2024

This dramatic increase in vendors hasn’t led to the expected data revolution. Rather, it has created needlessly complex data architectures that are inflexible, resist change, and stifle innovation. It’s a final, frustrating hurdle in the race to become truly data-driven.

Data Architecture 52

Data Architecture Architecture Building Pipeline-centric 52

Data Engineering Weekly

MAY 4, 2025

Get started → Editor’s Note: OpenXData Conference - 2025 - A Free Virtual Event A free virtual event on open data architectures - Iceberg, Hudi, lakehouses, query engines, and more. Talks from Netflix, dbt Labs, Databricks, Microsoft, Google, Meta, Peloton, and other open data geeks. Spin up a new 3.0

Data Engineering 67

Data Engineering Data Engineer Engineering Java 67

Striim

FEBRUARY 12, 2024

Data Mesh plays a vital role in managing data effectively and is a valuable asset for organizations looking to improve agility, intelligence, and success in their operations in today’s constantly evolving environment. It facilitates event-driven architectures and APIs, ensuring a fluid exchange of data across systems.

Data Architecture 52

Data Architecture Architecture Data Data Lake 52

Cloudera

OCTOBER 23, 2024

In August, we wrote about how in a future where distributed data architectures are inevitable, unifying and managing operational and business metadata is critical to successfully maximizing the value of data, analytics, and AI.

Metadata 84

Metadata BI Data Lake Business Intelligence 84

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

Data Engineering Podcast

JUNE 16, 2024

In this episode Kevin Liu shares some of the interesting features that they have built by combining those technologies, as well as the challenges that they face in supporting the myriad workloads that are thrown at this layer of their data platform. Can you describe what role Trino and Iceberg play in Stripe's data architecture?

Data Lake 147

Data Lake High Quality Data Metadata Machine Learning 147

Snowflake

NOVEMBER 11, 2024

Data and AI architecture matter “Before focusing on AI/ML use cases such as hyper personalization and fraud prevention, it is important that the data and data architecture are organized and structured in a way which meets the requirements and standards of the local regulators around the world.

Banking 96

Banking Finance Retail Food 96

Data Engineering Podcast

JUNE 17, 2023

Summary Architectural decisions are all based on certain constraints and a desire to optimize for different outcomes. In data systems one of the core architectural exercises is data modeling, which can have significant impacts on what is and is not possible for downstream use cases.

Data Lake 130

Data Lake Machine Learning Data Architecture Metadata 130

Hevo

SEPTEMBER 10, 2024

Nowadays, when it comes to data management, every business has to make one critical decision: whether to use a Data Mesh or a Data Warehouse. Both are strong data management architectures, but they are designed to support different needs and various organizational structures.

Data Warehouse 52

Data Warehouse Architecture Data Architecture Data 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 112

IT Unstructured Data Data Architecture Government 112

phData: Data Engineering

NOVEMBER 1, 2024

Monitor and Adapt: Continuously assess the impact of GenAI on data governance practices and be prepared to adapt policies as technologies evolve. Data governance is the only way to ensure those requirements are met. Quotes GenAI and LLM will impact data platforms as they need a bigger amount of data to better train the models.

Government 52

Government Data Governance Finance Metadata 52

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 125

Data Lake Data Warehouse Database Data Architecture 125

Data Engineering Podcast

SEPTEMBER 23, 2018

He also explains which layers are useful for the different members of the business, and which pitfalls to look out for along the path to a mature and flexible data platform. How do you define data curation? How does the size and maturity of a company affect the ways that they architect and interact with their data systems?

Data Lake 100

Data Lake Data Warehouse Data Architecture Architecture 100

Precisely

DECEMBER 9, 2024

To name a few: privacy and security considerations compliance demands interest in emerging data management architectures like data mesh and data fabric increased AI adoption The findings show that data governance is the most-cited data challenge inhibiting progress toward AI initiatives (62%).

Data Governance 63

Data Governance Government Data Integration Architecture 63

Monte Carlo

OCTOBER 31, 2024

Key Differences Between AI Data Engineers and Traditional Data Engineers While traditional data engineers and AI data engineers have similar responsibilities, they ultimately differ in where they focus their efforts.

Data Engineering 52

Data Engineering Data Engineer Engineering Unstructured Data 52

Precisely

JULY 18, 2024

Key Takeaways Data Fabric is a modern data architecture that facilitates seamless data access, sharing, and management across an organization. Data management recommendations and data products emerge dynamically from the fabric through automation, activation, and AI/ML analysis of metadata.

Data Management 52

Data Management Management Metadata Database-centric 52

Snowflake

NOVEMBER 2, 2023

Over the years, the technology landscape for data management has given rise to various architecture patterns, each thoughtfully designed to cater to specific use cases and requirements. Each of these architectures has its own unique strengths and tradeoffs.

Data Lake 114

Data Lake Data Warehouse Cloud Unstructured Data 114

Cloudera

MAY 14, 2024

To attain that level of data quality, a majority of business and IT leaders have opted to take a hybrid approach to data management, moving data between cloud, on-premises -or a combination of the two – to where they can best use it for analytics or feeding AI models. What do we mean by ‘true’ hybrid?

Cloud 99

Cloud Data Governance Unstructured Data Data Architecture 99

Data Engineering Podcast

OCTOBER 2, 2021

If you need to deal with massive data, at high velocities, in milliseconds, then Aerospike is definitely worth learning about. Your host is Tobias Macey and today I’m interviewing Lenley Hensarling about Aerospike and building real-time data platforms Interview Introduction How did you get involved in the area of data management?

Building 100

Building BI Data Architecture Architecture 100

Databand.ai

AUGUST 30, 2023

DataOps Architecture: 5 Key Components and How to Get Started Ryan Yackel August 30, 2023 What Is DataOps Architecture? DataOps is a collaborative approach to data management that combines the agility of DevOps with the power of data analytics. As a result, they can be slow, inefficient, and prone to errors.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

The Modern Data Company

FEBRUARY 26, 2024

With each new product launch and market expansion, the data architecture that once supported its growth now threatened to be its Achilles’ heel. Mixing metaphors aside, this startup knows that to sustain growth and outmaneuver competitors, it needs to evolve its approach to data management.

Architecture 52

Architecture Data Architecture Data Technology 52

Cloudera

APRIL 25, 2019

The Bank needed a centralized data management platform to break down data silos and facilitate bank-wide research. The European Market Infrastructure Regulation (EMIR) data presented the biggest and most immediate challenge. Adrian Waddy, Data Platform Delivery Lead, Bank of England.

Data Management 62

Data Management Banking Management Insurance 62

Data Engineering Podcast

DECEMBER 8, 2019

If you are evaluating your options for building or migrating a data platform, then this is definitely worth a listen. You listen to this show to learn and stay up to date with what’s happening in databases, streaming platforms, big data, and everything else you need to know about modern data management.

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Data Warehouse Cloud AWS Relational Database 100