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.

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Data Architecture Architecture Metadata Data Lake 52

Precisely

JULY 10, 2023

Did you join us for Trust ’23: the Precisely Data Integrity Summit? We hope you came away with practical and valuable insights for your data integrity journey. Trust ’23 was chock-full of content for everyone – whatever your industry or data integrity area of focus may be. Want to learn more?

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Data Integration Data Architecture Government Data 52

Precisely

DECEMBER 9, 2024

Top reported benefits of data governance programs include improved quality of data analytics and insights (58%), improved data quality (58%), and increased collaboration (57%). Data governance is a top data integrity challenge, cited by 54% of organizations second only to data quality (56%).

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Data Governance Government Data Integration Architecture 62

Precisely

MARCH 14, 2023

We optimize these products for use cases and architectures that will remain business-critical for years to come. Deploy, execute, and scale natively in modern cloud architectures To meet the need for data quality in the cloud head on, we’ve developed the Precisely Data Integrity Suite. Bigger, better results.

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Data Integration High Quality Data BI 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?

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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?

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Data Architecture Architecture Metadata Unstructured Data 52

Snowflake

APRIL 10, 2025

By warehousing your data in a privacy-compliant safe location, and by building a really good taxonomy of what that data means, you can build better functionality and onboarding data with any party on the audience side, said Jenny Yurko, VP, Data Product Strategy, at Warner Bros. Discovery. Missed the events?

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Media Retail Entertainment Consulting 74

Data Engineering Weekly

AUGUST 6, 2024

CDC tools fuel analytical apps and mission-critical data feeds in banking and regulated industries, with use cases ranging from data synchronization, managing risk, and preventing fraud to driving personalization. This approach simplifies data architecture and enhances performance by reducing data movement and latency.

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Precisely

MAY 3, 2023

Learn more The countdown is on to Trust ’23: the Precisely Data Integrity Summit! We recently announced the details of our annual virtual event , and we’re thrilled to once again bring together thousands of data professionals worldwide for two days of knowledge, insights, and inspiration for your data integrity journey.

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Data Integration Government AWS Data Governance 52

Striim

FEBRUARY 12, 2024

By doing this, organizations can take complete advantage of their data landscape, resulting in substantial benefits for their business in various important aspects. This approach can turn data challenges into advantages, helping companies grow, work more efficiently, and stand out in their industry.

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Striim

MARCH 21, 2025

With instant elasticity, high-performance, and secure data sharing across multiple clouds , Snowflake has become highly in-demand for its cloud-based data warehouse offering. As organizations adopt Snowflake for business-critical workloads, they also need to look for a modern data integration approach.

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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.

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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.

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Insurance Banking Data Architecture Data Ingestion 88

Edureka

APRIL 22, 2025

Its multi-cluster shared data architecture is one of its primary features. Data integration, data engineering, data warehousing, real-time analytics, data science, and business intelligence are among the analytics tasks it unifies into a single, cohesive interface.

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Striim

APRIL 18, 2025

Eliminating Data Silos with Unified Integration Rather than storing data in isolated systems, organizations are adopting real-time data integration strategies to unify structured and unstructured data across databases, applications, and cloud environments.

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DataKitchen

NOVEMBER 5, 2024

This architecture is valuable for organizations dealing with large volumes of diverse data sources, where maintaining accuracy and accessibility at every stage is a priority. It sounds great, but how do you prove the data is correct at each layer? How do you ensure data quality in every layer ?

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Architecture Raw Data Pipeline-centric Data Ingestion 78

phData: Data Engineering

NOVEMBER 8, 2024

Additionally, the optimized query execution and data pruning features reduce the compute cost associated with querying large datasets. Scaling data infrastructure while maintaining efficiency is one of the primary challenges of modern data architecture.

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Data Engineering Podcast

AUGUST 12, 2019

Upcoming events include the O’Reilly AI Conference, the Strata Data Conference, and the combined events of the Data Architecture Summit and Graphorum. Workflow for users getting started with Fivetran When is Fivetran the wrong choice for collecting and analyzing your data?

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Media Data Warehouse Data Machine Learning 100

Data Engineering Podcast

JULY 22, 2019

We have partnered with organizations such as O’Reilly Media, Dataversity, and the Open Data Science Conference. Upcoming events include the O’Reilly AI Conference, the Strata Data Conference, and the combined events of the Data Architecture Summit and Graphorum. What has been your experience in that regard?

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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.

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Building Government Transportation Data Governance 109

Snowflake

JULY 22, 2024

Determining an architecture and a scalable data model to integrate more source systems in the future. The benefits of migrating to Snowflake start with its multi-cluster shared data architecture, which enables scalability and high performance.

Government 118

Government Data Cloud Hadoop 118

Cloudera

SEPTEMBER 12, 2022

Combining and analyzing both structured and unstructured data is a whole new challenge to come to grips with, let alone doing so across different infrastructures. Both obstacles can be overcome using modern data architectures, specifically data fabric and data lakehouse. Unified data fabric.

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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. 1: Multi-function analytics . 1: Multi-function analytics . Flexible and open file formats.

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Metadata Data Architecture Machine Learning BI 92

phData: Data Engineering

FEBRUARY 21, 2025

Many companies may choose an on-prem data warehousing solution for quicker data processing to enable business decisions. In the cloud, the physical distance between the data source and the cloud data warehouse region can impact latency. Data integrations and pipelines can also impact latency.

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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.

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Data Architect Certification Generalist Big Data 87

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.

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phData: Data Engineering

NOVEMBER 1, 2024

To ensure data quality, platforms need consistent, automated processes with continuous testing and validation. Systems should include alerts to flag any changes or anomalies that could affect data integrity.

Government 52

Government Data Governance Finance Metadata 52

Data Engineering Podcast

AUGUST 19, 2019

We have partnered with organizations such as O’Reilly Media, Dataversity, Corinium Global Intelligence, and Data Counsil. Upcoming events include the O’Reilly AI conference, the Strata Data conference, the combined events of the Data Architecture Summit and Graphorum, and Data Council in Barcelona.

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Big Data Hadoop Data Lake Media 100

Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. Components of a Data Mesh. How CDF enables successful Data Mesh Architectures.

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Architecture Metadata Kafka Government 124

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.

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Striim

AUGUST 20, 2024

One powerful way to achieve this transformation is by modernizing data architecture and migrating to the cloud. For retailers, modernizing data architecture is not just about upgrading technology—it’s about empowering teams with better, faster access to data while future-proofing their infrastructure.

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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.

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High Quality Data Data Governance Government Banking 104

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.

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Striim

FEBRUARY 19, 2024

Innovations like Data Mesh and Data Fabric have emerged as solutions, offering new ways to manage data effectively and derive actionable insights. Data Fabric uses advanced technology, such as AI and machine learning, to automatically find, manage, and combine data. Data Fabric and Data Mesh have different focuses.

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Data Engineering Weekly

DECEMBER 10, 2023

As a data practitioner, I feel OneTable is one of the critical projects in the LakeHouse era. From a data architecture point of view, this enables a lot of flexibility in integrating multiple systems. Handles appending or overwriting with late data automatically based on stateless or stateful mode.

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Data Engineer Data Engineering Engineering Metadata 76

Confluent

APRIL 25, 2019

In another example, BAADER collects delivery truck GPS data, integrates with the Google Distance Matrix API, makes a few calculations with KSQL and alerts their customers on the arrival times of delivery trucks. This is business critical for those customers’ operations. .”

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Food Cloud Kafka Transportation 80

Precisely

JANUARY 22, 2024

Trusting your data is the cornerstone of successful AI and ML (machine learning) initiatives, and data integrity is the key that unlocks the fullest potential. Without data integrity, you risk compromising your AI and ML initiatives due to unreliable insights and biases that don’t fuel business value.

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