Cloudera

JUNE 29, 2023

To improve the way they model and manage risk, institutions must modernize their data management and data governance practices. Up your liquidity risk management game Historically, technological limitations made it difficult for financial institutions to accurately forecast and manage liquidity risk.

Data Architecture 84

Data Architecture Architecture Management Banking 84

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

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

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 78

Data Architecture Architecture Data Lake NoSQL 78

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

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

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 61

Data Architecture Architecture Data Governance Government 61

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

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

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

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 87

Data Architecture Architecture Unstructured Data Government 87

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

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

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

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

Hevo

APRIL 26, 2024

Efficient data management is a crucial part of an enterprise’s success. Data architecture helps streamline data management and workloads. It also enables you to establish a data governance framework that improves the data quality and gives useful business insights.

Architecture 40

Architecture Database Data Governance Data Architecture 40

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

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

Ascend.io

JULY 28, 2023

As companies become more data-driven, the scope and complexity of data pipelines inevitably expand. Without a well-planned architecture, these pipelines can quickly become unmanageable, often reaching a point where efficiency and transparency take a backseat, leading to operational chaos. What Is Data Pipeline Architecture?

Data Pipeline 52

Data Pipeline Architecture Lambda Architecture Data Architecture 52

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

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 Metadata Machine Learning Data Architecture 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 125

Data Lake Data Warehouse Database Data Architecture 125

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 97

Cloud Data Governance Unstructured Data Data Architecture 97

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. An example of a data lake architecture. Structured data sources.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 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 82

Metadata BI Data Lake Business Intelligence 82

ProjectPro

JANUARY 31, 2022

This blog walks you through what does Snowflake do , the various features it offers, the Snowflake architecture, and so much more. Table of Contents Snowflake Overview and Architecture What is Snowflake Data Warehouse? Its analytical skills enable companies to gain significant insights from their data and make better decisions.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

AltexSoft

NOVEMBER 10, 2021

Well, there’s a new phenomenon in data management that received the name of a data lakehouse. The pun being obvious, there’s more to that than just a new term: Data lakehouses combine the best features of both data lakes and data warehouses and this post will explain this all. Data warehouse.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

AltexSoft

JULY 19, 2022

In the last few decades, we’ve seen a lot of architectural approaches to building data pipelines , changing one another and promising better and easier ways of deriving insights from information. There have been relational databases, data warehouses, data lakes, and even a combination of the latter two. What data mesh IS.

Architecture 52

Architecture Data Lake Medical Datasets 52

Cloudera

OCTOBER 19, 2023

While navigating so many simultaneous data-dependent transformations, they must balance the need to level up their data management practices—accelerating the rate at which they ingest, manage, prepare, and analyze data—with that of governing this data.

Telecommunication 75

Telecommunication Data Architecture Government Architecture 75

Cloudera

NOVEMBER 21, 2024

Cloudera customers benefit from enterprise-secured tools to build collaborative sandboxes, empowering data engineers, data scientists, and extended data practitioner teams that need insights to drive decisions. Ready to Explore?

Pipeline-centric 66

Pipeline-centric Data Engineer Data Engineering Engineering 66

Ascend.io

OCTOBER 8, 2024

Data engineering is the backbone of any data-driven organization, responsible for building and maintaining the infrastructure that supports data collection, storage, and analysis. Traditionally, data engineers have focused on the technical aspects of data management, ensuring data pipelines run smoothly and efficiently.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Architecture 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 111

IT Unstructured Data Data Architecture Government 111

Striim

AUGUST 20, 2024

One powerful way to achieve this transformation is by modernizing data architecture and migrating to the cloud. For retailers, modernizing data architecture is not just about upgrading technology—it’s about empowering teams with better, faster access to data while future-proofing their infrastructure.

Retail 52

Retail Cloud Google Cloud Data Architecture 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 95

Data Lake Data Warehouse Cloud Unstructured Data 95

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 Big Data 87

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