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 82

Cloud Telecommunication Data Governance Government 82

Databand.ai

JULY 19, 2023

However, their importance has grown significantly in recent years due to the increasing complexity of data architectures and the growing need for data governance and compliance. 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

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 113

Building Government Transportation Data Governance 113

DataKitchen

DECEMBER 13, 2021

Without further ado, here are DataKitchen’s top ten blog posts, top five white papers, and top five webinars from 2021. Top 10 Blog Posts. Gartner – Top Trends and Data & Analytics for 2021: XOps. What is a Data Mesh? DataOps Data Architecture. DataOps is NOT Just DevOps for Data.

Data Governance 98

Data Governance Data Architecture Government Data Engineering 98

Cloudera

JUNE 6, 2024

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. Trusted Data is the Foundation of AI According to a Cloudera survey, Data Architecture and Strategy in the AI Era , 57% of APAC organizations are at least early-stage adopters of AI.

Banking 86

Banking Data Lake Finance Data Governance 86

Data Engineering Weekly

MARCH 3, 2024

The NVIDIA blog on Sovereign AI emphasizes the importance of countries developing artificial intelligence capabilities using local infrastructure, data, and workforce. The article concludes with a look at data contracts as a concrete example of these principles in practice. [link] Nvidia: What Is Sovereign AI?

Data Engineering 67

Data Engineering Data Engineer Pipeline-centric Engineering 67

Cloudera

AUGUST 22, 2024

Established in 2014, this center has become a cornerstone of Cloudera’s global strategy, playing a pivotal role in driving the company’s three growth pillars: accelerating enterprise AI, delivering a truly hybrid platform, and enabling modern data architectures.

Machine Learning 70

Machine Learning Manufacturing Banking Cloud Computing 70

Knowledge Hut

MARCH 28, 2024

This demonstrates the increasing need for Microsoft Certified Data Engineers. In this blog, I will explore Azure data engineer jobs and the top 10 job roles in this field where you can begin your career. They work together with stakeholders to get business requirements and develop scalable and efficient data architectures.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

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 92

Cloud Government Cloud Computing Data Architecture 92

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 99

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 81

IT Data Governance Data Architecture Government 81

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

Cloudera

DECEMBER 1, 2022

Full-stack observability is a critical requirement for effective modern data platforms to deliver the agile, flexible, and cost-effective environment organizations are looking for. RI is a global leader in the design and deployment of large-scale, production-level modern data platforms for the world’s largest enterprises.

Data Lake 88

Data Lake Data Pipeline Analytics Application Data Governance 88

Edureka

AUGUST 29, 2024

Hence, the systems and architecture need a professional who can keep the data flow from source to destination clean and eliminate any bottlenecks to enable data scientists to pull out insights from the data and transform it into data-driven decisions. What Does a Data Engineer Do?

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Data Engineering Data Engineer Engineering Generalist 40

Snowflake

AUGUST 21, 2023

Given the popularity and continued growth of data mesh, many of today’s leading compute, storage, and data security platforms are also evolving to support and enable it. 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

Cloudera

SEPTEMBER 15, 2022

The consumption of the data should be supported through an elastic delivery layer that aligns with demand, but also provides the flexibility to present the data in a physical format that aligns with the analytic application, ranging from the more traditional data warehouse view to a graph view in support of relationship analysis.

Data Lake 86

Data Lake Analytics Application Cloud Storage Architecture 86

Striim

NOVEMBER 8, 2023

What are the four principles of a Data Mesh, and what problems do they solve? A data mesh is technology-agnostic and underpins four main principles described in-depth in this blog post by Zhamak Dehghani. As a result, implementing data governance in this centralized system can be burdensome.

Architecture 52

Architecture Generalist Government Datasets 52

Cloudera

MAY 28, 2024

It’s not enough for businesses to implement and maintain a data architecture. The unpredictability of market shifts and the evolving use of new technologies means businesses need more data they can trust than ever to stay agile and make the right decisions.

Data Architecture 91

Data Architecture Architecture Data Lake Data Warehouse 91

Cloudera

JUNE 29, 2023

To improve the way they model and manage risk, institutions must modernize their data management and data governance practices. Implementing a modern data architecture makes it possible for financial institutions to break down legacy data silos, simplifying data management, governance, and integration — and driving down costs.

Data Architecture 88

Data Architecture Architecture Management Banking 88

Cloudera

OCTOBER 1, 2022

According to Gartner, by 2023 65% of the world’s population will have their personal data covered under modern privacy regulations. . As a result, growing global compliance and regulations for data are top of mind for enterprises that conduct business worldwide. – From a recent episode of the TWIML AI Podcast.

Data Governance 77

Data Governance Government Machine Learning Data Science 77

Databand.ai

DECEMBER 13, 2022

Currently, he helps companies define data-driven architecture and build robust data platforms in the cloud to scale their business using Microsoft Azure. Deepak regularly shares blog content and similar advice on LinkedIn.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Cloudera

JANUARY 12, 2018

I mentioned in an earlier blog titled, “Staffing your big data team, ” that data engineers are critical to a successful data journey. And the longer it takes to put a team in place, the likelier it is that your big data project will stall. Then this information must be executed against by the data engineers.

Big Data 56

Big Data Data Engineering Data Engineer Engineering 56

Monte Carlo

AUGUST 31, 2023

For instance, in the late 2010s, Uber changed all data analysts’ titles to data scientists after an organizational restructure. As data becomes more and more foundational to business, data teams will only grow. What is a decentralized data architecture?

Data Lake 52

Data Lake Data Pipeline Unstructured Data Data Warehouse 52

Cloudera

SEPTEMBER 6, 2022

Data has continued to grow both in scale and in importance through this period, and today telecommunications companies are increasingly seeing data architecture as an independent organizational challenge, not merely an item on an IT checklist. Why telco should consider modern data architecture. The challenges.

Telecommunication 87

Telecommunication Data Architecture Architecture Government 87

DataKitchen

JUNE 12, 2023

We continue to over-invest, as an industry, in the tools that run within our data estate. There are dozens of orchestrators, ETL Tools, databases, data science tools, data visualization tools, and data governance tools. Data tools will continue to evolve, and as-built systems will continue to run.

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ETL Tools Data Science Hadoop Data Lake 52

Cloudera

AUGUST 21, 2020

The governance aspect is perhaps even more important and businesses need to be able to understand where the data comes from. Data lineage, personally identifiable information or PPI and metadata all fall under a broad data governance banner which is critically important in terms of what needs to be protected and mapped out.

Banking 63

Banking Kafka Cloud Storage Government 63

Cloudera

JULY 29, 2022

Currently, 94% of APAC FSI senior business decision makers see the value of secure, centralized governance over the entire data lifecycle. . This does not mean ‘one of each’ – a public cloud data strategy and an on-prem data strategy. The telco industry has also increased its spend by 48% on similar initiatives. .

Data Architecture 92

Data Architecture Architecture Unstructured Data Government 92

Cloudera

FEBRUARY 15, 2024

Seeing the future in a modern data architecture The key to successfully navigating these challenges lies in the adoption of a modern data architecture. The promise of a modern data architecture might seem like a distant reality, but we at Cloudera believe data can make what is impossible today, possible tomorrow.

Insurance 91

Insurance Banking Data Architecture Data Ingestion 91

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. appeared first on Cloudera Blog.

Cloud 102

Cloud Data Governance Unstructured Data Data Architecture 102

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 79

Telecommunication Data Architecture Government Architecture 79

ProjectPro

FEBRUARY 21, 2023

With so many data engineering certifications available , choosing the right one can be a daunting task. There are over 133K data engineer job openings in the US, but how will you stand out in such a crowded job market? Why Are Data Engineering Skills In Demand? Don’t worry!

Certification 52

Certification Data Engineering Data Engineer Engineering 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

Cloudera

MAY 2, 2022

from China to the UK , new data governance and protection rules are coming in on an almost daily basis. Designing an enterprise data architecture in anticipation of such regulatory changes is challenging. The question is whether the data architecture is agile enough to respond when those changes happen. .

Cloud 107

Cloud Government Healthcare Metadata 107

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 94

Data Security Telecommunication Data Lake Data Governance 94

Edureka

FEBRUARY 9, 2023

As a certified Azure Data Engineer, you have the skills and expertise to design, implement and manage complex data storage and processing solutions on the Azure cloud platform. Azure data engineers are essential in the design, implementation, and upkeep of cloud-based data solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

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 95

Metadata Data Architecture BI Machine Learning 95

Cloudera

JUNE 14, 2021

How to optimize an enterprise data architecture with private cloud and multiple public cloud options? Hybrid Data Cloud and Data Governance. Having established the need for a hybrid data cloud strategy, the question becomes how to manage that environment. Cloudera: The Telco Data Cloud.

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Telecommunication Cloud Finance Government 99