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

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. Projections show that the data governance market will expand from $1.81

Data Governance 52

Data Governance Government Healthcare Programming 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

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. 2- AI capability drives data monetization.

Cloud 77

Cloud Telecommunication Data Governance Government 77

Monte Carlo

MARCH 13, 2024

Let’s dig in and explore the landscape of the top so-called “data quality tools” — what they are, what they’re not, and whether they’re the right first step towards more reliable data. Governance helps companies set important standards and achieve higher levels of data security, data accessibility, and data quality.

Data Governance 52

Data Governance Government Metadata Data 52

Databand.ai

AUGUST 30, 2023

A DataOps architecture is the structural foundation that supports the implementation of DataOps principles within an organization. It encompasses the systems, tools, and processes that enable businesses to manage their data more efficiently and effectively. As a result, they can be slow, inefficient, and prone to errors.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Knowledge Hut

MARCH 28, 2024

They work together with stakeholders to get business requirements and develop scalable and efficient data architectures. Role Level Advanced Responsibilities Design and architect data solutions on Azure, considering factors like scalability, reliability, security, and performance. GDPR, HIPAA), and industry standards.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Cloudera

DECEMBER 1, 2023

Governments must ensure that the data used for training AI models is of high quality, accurately representing the diverse range of scenarios and demographics it seeks to address. It is vital to establish stringent data governance practices to maintain data integrity, privacy, and compliance with regulatory requirements.

Building 104

Building Government Transportation Data Governance 104

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? Atlan Atlan offers a modern approach to data governance.

Pipeline-centric 52

Pipeline-centric Data Governance Metadata Government 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 Engineering 67

Data Engineering Data Engineer Pipeline-centric Engineering 67

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 88

Data Engineering Data Engineer Engineering Data Lake 88

Knowledge Hut

OCTOBER 30, 2023

Data Transformation and ETL: Handle more complex data transformation and ETL (Extract, Transform, Load) processes, including handling data from multiple sources and dealing with complex data structures. Ensure compliance with data protection regulations. Define data architecture standards and best practices.

BI 52

BI Business Intelligence Data Cleanse Business Analyst 52

Data Engineering Weekly

FEBRUARY 25, 2024

This initiative reduced costs and enhanced computational efficiency, demonstrating the significant benefits of GPUs in big data environments. They developed a new data structure with explicit aggregation layers, leading to a threefold increase in dashboard usage and more efficient data analysis processes.

Data Engineering 62

Data Engineering Data Engineer Engineering Kafka 62

DataKitchen

DECEMBER 13, 2021

Gartner – Top Trends and Data & Analytics for 2021: XOps. What is a Data Mesh? DataOps Data Architecture. DataOps is Not Just a DAG for Data. Data Observability and Monitoring with DataOps. DataOps is NOT Just DevOps for Data. Data Governance as Code. Top 10 Blog Posts.

Data Governance 98

Data Governance Data Architecture Government Data Engineering 98

Precisely

JANUARY 27, 2023

Data plays a central role here. Powerful customer engagement hinges on high levels of data integrity, effective data governance programs, and a clear vision of how CX can be a differentiator. The challenge is that many business leaders still struggle to turn their data into tangible improvements in CX.

High Quality Data 105

High Quality Data Data Governance Government Banking 105

Knowledge Hut

MARCH 20, 2024

Data governance specialist: As a mid-level Azure data engineer, you ensure that data within the organization is managed, stored, and used in compliance with regulatory requirements and internal policies. This includes implementing data governance frameworks and overseeing data access controls.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

AltexSoft

FEBRUARY 11, 2023

This specialist works closely with people on both business and IT sides of a company to understand the current needs of the stakeholders and help them unlock the full potential of data. To get a better understanding of a data architect’s role, let’s clear up what data architecture is.

Data Architect 87

Data Architect Certification Generalist Big Data 87

The Modern Data Company

JUNE 26, 2023

Strong data governance is essential Risks and challenges associated with using customer data–such as concerns around privacy and security–can derail insights.

Retail 52

Retail Government Data Governance Unstructured Data 52

The Modern Data Company

JUNE 26, 2023

Strong data governance is essential Risks and challenges associated with using customer data–such as concerns around privacy and security–can derail insights.

Retail 52

Retail Government Data Governance Unstructured Data 52

The Modern Data Company

JUNE 26, 2023

Strong data governance is essential Risks and challenges associated with using customer data–such as concerns around privacy and security–can derail insights.

Retail 52

Retail Government Data Governance Unstructured Data 52

Knowledge Hut

MARCH 15, 2024

Data governance specialist: As a mid-level Azure data engineer, you ensure that data within the organization is managed, stored, and used in compliance with regulatory requirements and internal policies. This includes implementing data governance frameworks and overseeing data access controls.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

The Modern Data Company

MARCH 1, 2024

For today’s Chief Data Officers (CDOs) and data teams, the struggle is real. We’re drowning in data yet thirsting for actionable insights. We need a new approach, a paradigm shift that delivers data with the agility and efficiency of a speedboat – enter Data Products.

Database-centric 40

Database-centric Data Lake Government Retail 40

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. You want them to be able to easily adjust to changes and take advantage of new opportunities.

Data Integration 52

Data Integration Government Data Data Governance 52

Snowflake

JANUARY 19, 2023

Vikrant Bhan, Group Head Analytics, Data and Integration, Nestlé Yuta Hishinuma , CTO, Chura Data Inc. Zachery Anderson , Chief Data and Analytics Officer, NatWest Group As Thomas Edison said, “The value of an idea lies in the use of it.” The same is true for data.

Data 105

Data Data Governance Data Architecture Government 105

Data Engineering Podcast

SEPTEMBER 23, 2018

Can you walk through the stages of an ideal lifecycle for data within the context of an organizations uses for it? What are some of the common mistakes that are made when designing a data architecture and how do they lead to failure?

Data Lake 100

Data Lake Data Warehouse Data Architecture Architecture 100

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 83

Cloud Government Cloud Computing Data Architecture 83

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.

Data Architect 90

Data Architect Government NoSQL Big Data 90

Ascend.io

APRIL 20, 2023

This article highlights data mesh as an alternative to the status quo with a: Brief explanation of what data mesh is An overview of why data mesh is important Deep dive into the six major benefits of using a data mesh What Is a Data Mesh?

Government 52

Government Architecture Data Architecture Data Governance 52

Snowflake

JANUARY 22, 2024

Fidelity has two main enterprise data architecture guiding principles for its data scientists and data engineers: For data storage, Snowflake is the platform for storing all of the company’s structured and semi-structured analytical data in its Enterprise Data Lake and Data Labs.

Engineering 61

Engineering Data Lake Unstructured Data Metadata 61

Cloudera

SEPTEMBER 19, 2023

CDO inspires the data team To succeed, leaders need to inspire their teams to be passionate, productive, and willing to work with other stakeholders toward common goals. Leaderless and uninspired data teams are likely to feel misunderstood and such organization-wide efforts as data governance can be hard to implement.

IT 74

IT Data Governance Data Architecture Government 74

Monte Carlo

JANUARY 23, 2023

But while most every company would consider themselves a “data-first” organization, not every data architecture is treated to the same level of democratization and scalability. In this post we’ll look at the dizzyingly buzzy data mesh and how it stacks up to the more traditional aggregated architectural approach of a data lake.

Data Lake 52

Data Lake Business Intelligence Unstructured Data Architecture 52

The Modern Data Company

FEBRUARY 26, 2024

Data, the lifeblood of its operations, was becoming increasingly complex and unwieldy. With each new product launch and market expansion, the data architecture that once supported its growth now threatened to be its Achilles’ heel.

Architecture 52

Architecture Data Architecture Data Technology 52

Knowledge Hut

JANUARY 18, 2024

The rise of microservices and data marketplaces further complicates the data management landscape, as these technologies enable the creation of distributed and decentralized data architectures. Moreover, they require a more comprehensive data governance framework to ensure data quality, security, and compliance.

Data Analytics 52

Data Analytics Healthcare Machine Learning Algorithm 52

Precisely

MARCH 14, 2023

We optimize these products for use cases and architectures that will remain business-critical for years to come. Simply design data pipelines, point them to the cloud environment, and execute. With high quality data you can increase agility, drive down costs, respond more quickly to market demands, and deliver a faster time to value.

Data Integration 52

Data Integration High Quality Data BI Data 52

Monte Carlo

APRIL 4, 2023

Reducing the associated pressure on centralized data teams removes organizational bottlenecks and helps teams utilize data in more agile ways. In a data mesh approach, multiple domain-oriented teams own their respective data, which distributes ownership across the organization.

Data Warehouse 52

Data Warehouse Data Governance Data Architecture 52

Snowflake

AUGUST 21, 2023

Self-service data platforms: Consistent domain-agnostic access and security measures create a structure that is both clearly defined and repeatable across platforms/domains. Federated computational governance: Whether manual or automated, global data governance and security measures ensure protection and compliance throughout domains.

Pipeline-centric 52

Pipeline-centric Architecture Government Data Architect 52