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 87

Data Architecture Architecture Management Banking 87

Cloudera

JULY 11, 2022

progressively more complex for businesses to access, use, and create value from it. Before you can capitalize on your data you need to know what you have, how you can use it in a safe and compliant manner, and how to make it available to the business. Cloudera data fabric and analyst acclaim. Move beyond a fabric. Next steps.

Data Architecture 109

Data Architecture Architecture Data Government 109

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. There are savings to be made in modernizing the data stack itself, in addition to applying data across the enterprise.

Data Architecture 63

Data Architecture Architecture Data Governance Government 63

Cloudera

AUGUST 30, 2022

Data is the fuel that drives government, enables transparency, and powers citizen services. For state and local agencies, data silos create compounding problems: Inaccessible or hard-to-access data creates barriers to data-driven decision making. Modern data architectures. Forrester ).

Data Architecture 81

Data Architecture Architecture Data Lake NoSQL 81

The Modern Data Company

JULY 29, 2024

BCG research reveals a striking trend: the number of unique data vendors in large companies has nearly tripled over the past decade, growing from about 50 to 150. This dramatic increase in vendors hasn’t led to the expected data revolution. It’s a final, frustrating hurdle in the race to become truly data-driven.

Data Architecture 52

Data Architecture Architecture Building Pipeline-centric 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

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

Striim

FEBRUARY 12, 2024

Data as a Product: Elevates data to product status, meticulously maintained to meet consumer and business needs. Self-serve Data Infrastructure: Allows all members of the organization to access and use data easily, removing any technical obstacles. Try Striim Cloud for free for 14 days!

Data Architecture 52

Data Architecture Architecture Data Data Lake 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

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

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 81

Telecommunication Data Governance Government Portfolio 81

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

OCTOBER 1, 2022

While the word “data” has been common since the 1940s, managing data’s growth, current use, and regulation is a relatively new frontier. . Governments and enterprises are working hard today to figure out the structures and regulations needed around data collection and use.

Data Governance 76

Data Governance Government Machine Learning Data Science 76

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 Programming Healthcare 52

Cloudera

JULY 29, 2022

It supports business objectives like increasing revenues, improving customer experience, and driving profitability by giving business units and users access to relevant data so they can quickly gain the insight they need. This does not mean ‘one of each’ – a public cloud data strategy and an on-prem data strategy.

Data Architecture 91

Data Architecture Architecture Unstructured Data Government 91

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 77

Architecture Data Architecture Metadata Data Warehouse 77

Data Engineering Podcast

JUNE 16, 2024

Your host is Tobias Macey and today I'm interviewing Kevin Liu about his use of Trino and Iceberg for Stripe's data lakehouse Interview Introduction How did you get involved in the area of data management? 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

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 66

Government Java Cloud Algorithm 66

Cloudera

FEBRUARY 15, 2024

Risk management and governance: Regulators are increasingly focusing on risk governance, risk sustainability, and the detection, mitigation, tracking, and remediation of threat actors. Financial institutions must demonstrate robust risk accountability and governance, as well as maintain consumer protections.

Insurance 90

Insurance Banking Data Architecture Data Ingestion 90

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 4, 2024

Today enterprises can leverage the combination of Cloudera and Snowflake—two best-of-breed tools for ingestion, processing and consumption of data—for a single source of truth across all data, analytics, and AI workloads.

AWS 60

AWS Raw Data Relational Database Government 60

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 86

Metadata BI Data Lake Business Intelligence 86

Cloudera

NOVEMBER 21, 2024

Cloudera Data Engineering’s latest version release on public cloud addresses this rising challenge by introducing major enhancements in development productivity with enterprise-secured toolings, bringing remote access to Apache Spark from the practitioner’s preferred coding environments. Jupyter, PyCharm, and VS Code).

Pipeline-centric 88

Pipeline-centric Data Engineering Data Engineer Engineering 88

Snowflake

NOVEMBER 12, 2024

As part of Snowflake Unistore , Hybrid Tables unify both transactional and analytical workloads on a single database to simplify architectures as well as governance and security. "We are using Hybrid Tables as the backbone for our Data Services use cases,” says Ken Ostner, SVP of Data at Roofstock.

Food 71

Food Metadata Education AWS 71

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? Let’s dive deeper.

Cloud 101

Cloud Data Governance Unstructured Data Data Architecture 101

Snowflake

JUNE 21, 2024

Increasingly customers are looking to expand that powerful foundation to a broader set of data across their enterprise. Data is stored in open formats and interoperable across external compute engines. Augmenting Existing Data Lakes: Customers with existing data lakes want to tap into the power of the Snowflake platform.

Data Lake 114

Data Lake BI Business Intelligence Metadata 114

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 78

Telecommunication Data Architecture Government Architecture 78

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 104

AWS Amazon Web Services Government Cloud Computing 104

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 105

Government Data Governance Data Pipeline Big Data 105

Snowflake

JUNE 28, 2023

This empowers organizations to break free from the burdensome task of spinning up and managing complex standalone systems operating outside of Snowflake’s governance boundary. This integration allows users to securely connect to a git repo from a Snowflake account and access contents from any branch / tag / commit within Snowflake.

Python 52

Python Accessible Accessibility Pipeline-centric 52

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 112

Building Government Transportation Data Governance 112

Cloudera

DECEMBER 3, 2024

Cloudera’s open data lakehouse, powered by Apache Iceberg, solves the real-world big data challenges mentioned above by providing a unified, curated, shareable, and interoperable data lake that is accessible by a wide array of Iceberg-compatible compute engines and tools. SELECT * FROM airlines_data.carriers; 4.

Metadata 52

Metadata SQL Database Data Warehouse 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

As digital transformation accelerates, and digital commerce increasingly becomes the dominant form of all commerce, regulators and governments around the world are recognizing the increased need for consumer protections and data protection measures.

Cloud 106

Cloud Government Healthcare Metadata 106

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 115

IT Unstructured Data Data Architecture Government 115

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

Cloudera

AUGUST 21, 2024

Pockets and siloes of disparate data can accumulate across an enterprise or legacy data warehouses may not be equipped to properly manage a sea of structured and unstructured data at scale.

Unstructured Data 67

Unstructured Data Business Intelligence Data Architecture Data Warehouse 67