Knowledge Hut

APRIL 20, 2023

Data governance refers to the set of policies, procedures, mix of people and standards that organisations put in place to manage their data assets. It involves establishing a framework for data management that ensures data quality, privacy, security, and compliance with regulatory requirements.

Data Governance 59

Data Governance Government Data Cleanse Data Security 59

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

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. At the same time, data governance technologies are growing more intelligent.

Data Governance 52

Data Governance Government Data Lake Data Architecture 52

Cloudera

SEPTEMBER 8, 2022

The management of data assets in multiple clouds is introducing new data governance requirements, and it is both useful and instructive to have a view from the TM Forum to help navigate the changes. . What’s new in data governance for telco? In the past, infrastructure was simply that — infrastructure.

Telecommunication 79

Telecommunication Data Governance Government Portfolio 79

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

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

AltexSoft

MARCH 2, 2023

As the amount of enterprise data continues to surge, businesses are increasingly recognizing the importance of data governance — the framework for managing an organization’s data assets for accuracy, consistency, security, and effective use. What is data governance? billion in 2020 to $5.28

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Data Governance Government Programming Healthcare 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

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 also allows experts to access data directly, making work faster and more productive.

Data Architecture 52

Data Architecture Architecture Data Data Lake 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

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 98

Cloud Data Governance Unstructured Data Data Architecture 98

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 88

Data Architecture Architecture Unstructured Data Government 88

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. Get the Trendbook What is the Impact of Data Governance on GenAI?

Government 52

Government Data Governance Finance Metadata 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 83

Metadata BI Data Lake Business Intelligence 83

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

OCTOBER 19, 2022

The telecommunications industry continues to develop hybrid data architectures to support data workload virtualization and cloud migration. Telco organizations are planning to move towards hybrid multi-cloud to manage data better and support their workforces in the near future. But not just the public cloud.

Cloud 78

Cloud Telecommunication Data Governance Government 78

Databand.ai

JULY 19, 2023

This capability is useful for businesses, as it provides a clear and comprehensive view of their data’s history and transformations. Data lineage tools are not a new concept. In this article: Why Are Data Lineage Tools Important? It provides context for data, making it easier to understand and manage.

Pipeline-centric 52

Pipeline-centric Data Governance Metadata Government 52

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

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 76

Telecommunication Data Architecture Government Architecture 76

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

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. AI data engineers are the first line of defense against unreliable data pipelines that serve AI models.

Data Engineer 52

Data Engineer Data Engineering Engineering Unstructured Data 52

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 90

Data Security Telecommunication Data Lake Data Governance 90

Knowledge Hut

MARCH 28, 2024

Data Engineer Career: Overview Currently, with the enormous growth in the volume, variety, and veracity of data generated and the will of large firms to store and analyze their data, data management is a critical aspect of data science. That’s where data engineers are on the go.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Warehouse 52

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.

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Data Architect Certification Generalist Big Data 87

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

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?

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Data Lake Data Warehouse Data Architecture Architecture 100

Striim

FEBRUARY 19, 2024

Overview of Data Mesh Data Mesh is a decentralized architectural approach designed to address large-scale data management issues by promoting domain-oriented data ownership and self-serve data infrastructure. Data Fabric and Data Mesh have different focuses.

Data Integration 52

Data Integration Data Government Data Governance 52

Data Engineering Weekly

MARCH 3, 2024

link] AWS: Data governance in the age of generative AI The AWS Big Data Blog discusses the importance of data governance in the age of generative AI, emphasizing the need for robust data management strategies to ensure data quality, privacy, and security across structured and unstructured data sources.

Data Engineer 67

Data Engineer Data Engineering Engineering Pipeline-centric 67

Cloudera

NOVEMBER 1, 2022

Through modern data architectures powered by CDP, including Cloudera-enabled data fabric, data lakehouse, and data mesh , DoD agencies can rapidly provision and manage innovative data engineering, data warehouse, and machine learning environments, with access to secured supply chain data stored in CDP Private Cloud.

Cloud 88

Cloud Government Cloud Computing Data Architecture 88

Cloudera

SEPTEMBER 24, 2021

They were using R and Python, with NoSQL and other open source ad hoc data stores, running on small dedicated servers and occasionally for small jobs in the public cloud. Data governance was completely balkanized, if it existed at all. The Well-Governed Hybrid Data Cloud: 2018-today.

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Data Architect Government NoSQL Big Data 96

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. Simplify data management . 1: Multi-function analytics . The *Any*-house.

Metadata 91

Metadata Data Architecture BI Machine Learning 91

Knowledge Hut

JULY 5, 2024

Early Days: Picture this – a time when data was handled manually, no computers in sight. Computing Revolution: Enter computers, and data management took a leap. Big Data Boom: Fast forward to the 2000s, and Big Data crashed onto the scene. It was all about paperwork and manual record-keeping.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Cleanse 52

Ascend.io

MAY 7, 2024

to bring its cutting-edge automation platform that revolutionizes modern data engineering. . “This partnership is poised to tackle some of the biggest challenges faced by data executives today, including cost optimization, risk management, and accelerating the adoption of new technologies.”

Pipeline-centric 52

Pipeline-centric Data Cleanse Data Security Data Pipeline 52

Knowledge Hut

JANUARY 18, 2024

Together, automation and DataOps are transforming the way businesses approach data analytics, making it faster, more accurate, and more efficient. Data Specialists’ Shortages Will Create Challenges in Data Management The demand for data specialists is rapidly increasing as data volumes continue to grow.

Data Analytics 52

Data Analytics Healthcare Machine Learning Algorithm 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

Precisely

MAY 3, 2023

Precisely CPO Anjan Kundavaram and Emily Washington, SVP of Product Management, will share exciting new Data Integrity Suite capabilities that support your end-to-end needs for accurate, consistent, and context-filled data. And, you’ll be able to see these capabilities in action with an exclusive demo.

Data Integration 52

Data Integration AWS Government Data Governance 52