Cloudera

AUGUST 30, 2022

Data is the fuel that drives government, enables transparency, and powers citizen services. Citizens who have negative experiences with government services are less likely to use those services in the future. Modern data architectures. Deploying modern data architectures. Forrester ).

Data Architecture 84

Data Architecture Architecture Data Lake NoSQL 84

Snowflake

JUNE 21, 2024

Snowflake is now making it even easier for customers to bring the platform’s usability, performance, governance and many workloads to more data with Iceberg tables (now generally available), unlocking full storage interoperability. Iceberg tables provide compute engine interoperability over a single copy of data.

Data Lake 117

Data Lake BI Business Intelligence Metadata 117

Snowflake

NOVEMBER 11, 2024

Snowflake is committed to doing just that by continually adding features to help our customers simplify how they architect their data infrastructure. At BUILD 2024, we announced several enhancements and innovations designed to help you build and manage your data architecture on your terms. Here’s a closer look.

Data Architecture 85

Data Architecture Architecture Data Lake Kafka 85

Data Engineering Podcast

SEPTEMBER 23, 2018

Using the metaphor of a museum curator carefully managing the precious resources on display and in the vaults, he discusses the various layers of an enterprise data strategy. Can you walk through the stages of an ideal lifecycle for data within the context of an organizations uses for it?

Data Lake 100

Data Lake Data Warehouse Data Architecture Architecture 100

phData: Data Engineering

NOVEMBER 1, 2024

In an effort to better understand where data governance is heading, we spoke with top executives from IT, healthcare, and finance to hear their thoughts on the biggest trends, key challenges, and what insights they would recommend. With that, let’s get into the governance trends for data leaders! No problem!

Government 52

Government Data Governance Finance Metadata 52

Monte Carlo

APRIL 1, 2021

Over the past few years, data lakes have emerged as a must-have for the modern data stack. But while the technologies powering our access and analysis of data have matured, the mechanics behind understanding this data in a distributed environment have lagged behind. Data discovery tools and platforms can help.

Data Lake 52

Data Lake Unstructured Data Data Warehouse Metadata 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

phData: Data Engineering

APRIL 4, 2023

Today we want to introduce Fivetran’s support for Amazon S3 with Apache Iceberg, investigate some of the implications of this feature, and learn how it fits into the modern data architecture as a whole. Fivetran today announced support for Amazon Simple Storage Service (Amazon S3) with Apache Iceberg data lake format.

Data Lake 52

Data Lake Amazon Web Services Data Cleanse Data Warehouse 52

Cloudera

JUNE 30, 2022

With Cloudera’s vision of hybrid data , enterprises adopting an open data lakehouse can easily get application interoperability and portability to and from on premises environments and any public cloud without worrying about data scaling. Why integrate Apache Iceberg with Cloudera Data Platform?

Data Lake 94

Data Lake Business Intelligence Metadata Data Warehouse 94

Monte Carlo

FEBRUARY 21, 2023

Today, as data sources become increasingly varied, data management becomes more complex, and agility and scalability become essential traits for data leaders, data fabric is quickly becoming the future of data architecture. If data fabric is the future, how can you get your organization up-to-speed?

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Monte Carlo

FEBRUARY 21, 2023

Today, as data sources become increasingly varied, data management becomes more complex, and agility and scalability become essential traits for data leaders, data fabric is quickly becoming the future of data architecture. If data fabric is the future, how can you get your organization up-to-speed?

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Cloudera

NOVEMBER 17, 2022

With Cloudera Data Platform, we aim to unlock value faster and offer consistent data security and governance to meet this goal. Aqeel Ahmed Jatoi, Lead – Architecture, Governance and Control, Habib Bank Limited. Future-proof data capabilities. See other customers’ success here .

Banking 91

Banking Management Data Lake Professional Services 91

Cloudera

MAY 9, 2023

Cloudera Data Platform (CDP) will enable SoftBank to increase resources flexibly as needed and adjust resources to meet business needs. In addition, it has functions to review and update user access controls regularly as part of data governance.

Data Security 96

Data Security Telecommunication Data Lake Data Governance 96

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. First-generation – expensive, proprietary enterprise data warehouse and business intelligence platforms maintained by a specialized team drowning in technical debt.

Pharmaceutical 98

Pharmaceutical Data Lake Data Architecture Architecture 98

Striim

FEBRUARY 12, 2024

For instance, analytical data may uncover customer preferences or seasonal product trends, helping teams in strategic planning. This data is commonly gathered through an ETL process and stored in a central location, such as a data lake. Want to see how Striim’s Data Mesh and AI can benefit your organization?

Data Architecture 52

Data Architecture Architecture Data Data Lake 52

Striim

SEPTEMBER 11, 2024

Data pipelines are the backbone of your business’s data architecture. Implementing a robust and scalable pipeline ensures you can effectively manage, analyze, and organize your growing data. Understanding the essential components of data pipelines is crucial for designing efficient and effective data architectures.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Monte Carlo

JANUARY 24, 2024

Data is among your company’s most valuable commodities, but only if you know how to manage it. More data, more access to data, and more regulations mean data governance has become a higher-stakes game. Data Governance Trends The biggest data governance trend isn’t really a trend at all—rather, it’s a state of mind.

Data Governance 52

Data Governance Government Data Lake Data Architecture 52

AltexSoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. What is a data lake?

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Cloudera

NOVEMBER 18, 2020

The technological linchpin of its digital transformation has been its Enterprise Data Architecture & Governance platform. It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery. Data Security & Governance.

Medical 124

Medical Banking Telecommunication Government 124

Cloudera

AUGUST 20, 2024

Whether it’s rapidly rising costs, an inefficient and outdated data infrastructure, or serious gaps in data governance, there are myriad reasons why organizations are struggling to move past adoption and achieve AI at scale in their enterprises. Ensuring data is trustworthy comes with its own complications.

Government 83

Government Data Lake Data Governance Data Architecture 83

Towards Data Science

DECEMBER 4, 2023

Anyways, I wasn’t paying enough attention during university classes, and today I’ll walk you through data layers using —  guess what  —  an example. Business Scenario & Data Architecture Imagine this: next year, a new team on the grid, Red Thunder Racing, will call us (yes, me and you) to set up their new data infrastructure.

Data Engineering 81

Data Engineering Data Engineer Engineering Data Lake 81

Cloudera

JANUARY 30, 2023

One estimate states that “ on average, people will produce 463 exabytes of data per day by 2025.” Now consider that the federal government has approximately 2.8 This dark data resides everywhere in the enterprise, siloed in multiple data repositories, from laptops and mobile devices to data lakes and applications.

Media 89

Media Government Data Lake Professional Services 89

DataKitchen

NOVEMBER 4, 2021

Data organizations often have a mix of centralized and decentralized activity. DataOps concerns itself with the complex flow of data across teams, data centers and organizational boundaries. It expands beyond tools and data architecture and views the data organization from the perspective of its processes and workflows.

Process 98

Process Data Process Pharmaceutical Data Lake 98

Cloudera

SEPTEMBER 15, 2022

Mark: The first element in the process is the link between the source data and the entry point into the data platform. At Ramsey International (RI), we refer to that layer in the architecture as the foundation, but others call it a staging area, raw zone, or even a source data lake. What is a data fabric?

Data Lake 88

Data Lake Analytics Application Cloud Storage Architecture 88

Cloudera

JUNE 6, 2024

To keep pace as banking becomes increasingly digitized in Southeast Asia, OCBC was looking to utilize AI/ML to make more data-driven decisions to improve customer experience and mitigate risks. While these are great proof points to demonstrate how business value can be driven by AI/ML, this was only made possible with trusted data.

Banking 88

Banking Data Lake Finance Data Governance 88

Cloudera

JUNE 13, 2024

After countless open-source innovations ushered in the Big Data era, including the first commercial distribution of HDFS (Apache Hadoop Distributed File System), commonly referred to as Hadoop, the two companies joined forces, giving birth to an entire ecosystem of technology and tech companies.

Hadoop 108

Hadoop Banking Big Data Insurance 108

Cloudera

SEPTEMBER 12, 2022

Combining and analyzing both structured and unstructured data is a whole new challenge to come to grips with, let alone doing so across different infrastructures. Both obstacles can be overcome using modern data architectures, specifically data fabric and data lakehouse. Unified data fabric. Better together.

Unstructured Data 80

Unstructured Data Data Lake Data Architecture Data 80

Data Engineering Podcast

SEPTEMBER 22, 2019

Summary Object storage is quickly becoming the unifying layer for data intensive applications and analytics. Modern, cloud oriented data warehouses and data lakes both rely on the durability and ease of use that it provides. How do you approach project governance and sustainability?

AWS 100

AWS Google Cloud Cloud Storage Data Lake 100

Data Engineering Weekly

MARCH 3, 2024

The migration enhanced data quality, lineage visibility, performance improvements, cost reductions, and better reliability and scalability, setting a robust foundation for future expansions and onboarding. This approach helps maintain accuracy, relevance, and compliance in generative AI applications.

Data Engineering 69

Data Engineering Data Engineer Pipeline-centric Engineering 69

Towards Data Science

FEBRUARY 15, 2023

Data by itself has no value, it needs to be organized, standardized, and clean. Governance is needed. In this context, data management in an organization is a key point for the success of its projects involving data. One of the main aspects of correct data management is the definition of a data architecture.

Data Lake 74

Data Lake Data Warehouse Hadoop Architecture 74

Data Engineering Podcast

AUGUST 19, 2019

We have partnered with organizations such as O’Reilly Media, Dataversity, Corinium Global Intelligence, and Data Counsil. Upcoming events include the O’Reilly AI conference, the Strata Data conference, the combined events of the Data Architecture Summit and Graphorum, and Data Council in Barcelona.

Big Data 100

Big Data Hadoop Data Lake Media 100

Cloudera

SEPTEMBER 8, 2021

Minimise the integration effort across an enterprise data platform while avoiding vendor lock-in? Efficiently achieve consistently strong security, governance and lineage to meet regulatory requirements? Data Platform Architecture. A simplified enterprise data architecture looks something like the figure below.

Cloud Computing 83

Cloud Computing Government Data Lake Cloud 83

Cloudera

MARCH 17, 2023

As the use of ChatGPT becomes more prevalent, I frequently encounter customers and data users citing ChatGPT’s responses in their discussions. I love the enthusiasm surrounding ChatGPT and the eagerness to learn about modern data architectures such as data lakehouses, data meshes, and data fabrics.

Education 65

Education Unstructured Data Data Lake Data Warehouse 65

Cloudera

MARCH 23, 2022

In fact, we recently announced the integration with our cloud ecosystem bringing the benefits of Iceberg to enterprises as they make their journey to the public cloud, and as they adopt more converged architectures like the Lakehouse. Enterprise grade security and data governance – centralized data authorization to lineage and auditing.

Metadata 97

Metadata Data Architecture BI Machine Learning 97

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

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. They are free to choose the infrastructure best suited for each workload.

Metadata 89

Metadata BI Data Lake Business Intelligence 89

Monte Carlo

MAY 14, 2024

As organizations seek greater value from their data, data architectures are evolving to meet the demand — and table formats are no exception. This development was crucial for enabling both batch and streaming data workflows in dynamic environments, ensuring consistency and durability in big data processing.

Data Lake 52

Data Lake Metadata Hadoop Data Governance 52