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

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

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 77

Telecommunication Data Governance Government Portfolio 77

Cloudera

SEPTEMBER 29, 2022

Each of these trends claim to be complete models for their data architectures to solve the “everything everywhere all at once” problem. Data teams are confused as to whether they should get on the bandwagon of just one of these trends or pick a combination. First, we describe how data mesh and data fabric could be related.

Architecture 74

Architecture Data Architecture Metadata Data Warehouse 74

Scott Logic

OCTOBER 30, 2023

AI is already being used in both central and local government. AI use in Government The UK Government has already begun to make careful use of these technologies over the last few years. When I worked at Government Digital Service (GDS) there was a great example on GOV.UK

Government 52

Government Hospitality Database-centric Machine Learning 52

Cloudera

DECEMBER 8, 2020

As part of our ongoing commitment to supporting Government regulations and standards in our enterprise solutions, including data protection, Cloudera recently introduced a version of our Cloudera Data Platform, Private Cloud Base product (7.1.5 Cloudera for Government. Thus the U.S.

Government 63

Government Java Cloud Algorithm 63

Cloudera

MAY 10, 2024

Iceberg, a high-performance open-source format for huge analytic tables, delivers the reliability and simplicity of SQL tables to big data while allowing for multiple engines like Spark, Flink, Trino, Presto, Hive, and Impala to work with the same tables, all at the same time.

Government 68

Government Data Governance Data Pipeline Big Data 68

Cloudera

DECEMBER 1, 2023

Recent Government Initiatives on Public Sector AI Solutions In recent years, governments across the globe have recognized the transformative potential of artificial intelligence (AI) and have embarked on initiatives to harness this technology to drive innovation and serve their citizens more effectively. million), among others.

Building 106

Building Government Transportation Data Governance 106

Snowflake

DECEMBER 5, 2023

Bring gen AI to your governed enterprise data with Snowflake Cortex No matter your industry, department or role, you can leverage generative AI (gen AI) and large language models (LLMs) to increase efficiencies and uncover new solutions to business challenges.

AWS 97

AWS Amazon Web Services Government Cloud Computing 97

Snowflake

OCTOBER 23, 2023

This flexibility in language and programming constructs not only optimizes data architecture but also turbocharges development cycles, fortifies governance, enhances security, and more.

Python 141

Python Cloud Data Science Data Architecture 141

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 78

Cloud Telecommunication Data Governance Government 78

Cloudera

JUNE 7, 2022

Companies can now capitalize on the value in all their data, by delivering a hybrid data platform for modern data architectures with data anywhere. Cloudera Data Platform (CDP) is designed to address the critical requirements for modern data architectures today and tomorrow.

IT 109

IT Unstructured Data Data Architecture Government 109

The Modern Data Company

MAY 2, 2023

The Modern Data Company Brief The Modern Data Company is radically simplifying data architecture with its paradigm-shifting data operating system, DataOS. We’re replacing overwhelm with composability, reinventing governance, and connecting legacy systems to your newest tools.

Data Architecture 98

Data Architecture Government Data Architecture 98

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

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

Cloudera

NOVEMBER 1, 2022

It’s no secret that IT modernization is a top priority for the US federal government. To quote Gartner VP Sid Nag, the “irrational exuberance of procuring cloud services” gave way to a more rational approach that prioritizes governance and security over which cloud to migrate workloads to, be it public, private, or hybrid. .

Cloud 86

Cloud Government Cloud Computing Data Architecture 86

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

SEPTEMBER 26, 2023

IBM and Cloudera’s common goal is to accelerate data-driven decision making for enterprise customers, working on defining and executing the best solution for each customer. You can now elevate your data potential and activate AI’s capabilities through the synergic integration between IBM watsonx and Cloudera.

Kafka 91

Kafka Technology IT Government 91

Snowflake

MARCH 7, 2024

Potential pitfalls and why governance matters The financial services sector, being a heavily regulated sector, has a framework and structure for addressing AI governance and model validation in most industry organizations. Democratization also carries risk, though.

Unstructured Data 79

Unstructured Data Government Data Architecture Architecture 79

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 86

Data Engineering Data Engineer Engineering Data Lake 86

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

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. It enables users to define clear policies for data usage and authorized access and to meet regulatory compliance requirements such as GDPR.

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. It enables users to define clear policies for data usage and authorized access and to meet regulatory compliance requirements such as GDPR.

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. It enables users to define clear policies for data usage and authorized access and to meet regulatory compliance requirements such as GDPR.

Retail 52

Retail Government Data Governance Unstructured Data 52

Rockset

JULY 21, 2020

Data APIs are better than data dumps. Data quality, traceability, governance, access control are all superior with data APIs than data dumps. If you have a team working and maintaining such as service, send that team a box of chocolates, flowers and nice bourbon.

Data Architecture 40

Data Architecture Architecture Building Programming Language 40

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

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

Monte Carlo

FEBRUARY 19, 2024

The data mesh is a thoughtful decentralized approach that facilitates the creation of domain-driven, self-service data products. The problem is, not every organization should organize their architecture this way—or can support it. Data access has been the cry of organizations for some time now.

Architecture 59

Architecture Government Data Data Architecture 59

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

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

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

Cloudera

SEPTEMBER 24, 2021

In a sense, there have been three phases of network analytics: the first was an appliance based monitoring phase; the second was an open-source expansion phase; and the third – that we are in right now – is a hybrid-data-cloud and governance phase. The Dawn of Telco Big Data: 2007-2012. Let’s examine how we got here.

Data Architect 93

Data Architect Government NoSQL Big Data 93

Snowflake

DECEMBER 20, 2023

Integrated governance: Snowpark Container Services runs within the same Snowflake Horizon governance framework as the data. By having the same governance over data and compute, developers can more effortlessly ensure data is protected to streamline security reviews for new developments.

Scala 116

Scala Government Java AWS 116

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

The Modern Data Company

MAY 2, 2023

The Modern Data Company Brief The Modern Data Company is radically simplifying data architecture with its paradigm-shifting data operating system, DataOS. We’re replacing overwhelm with composability, reinventing governance, and connecting legacy systems to your newest tools.

Data Architecture 52

Data Architecture Government Data Architecture 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