Alation

MARCH 31, 2023

I’m talking about not just Walt Disney World, but also this year’s Gartner Data & Analytics Summit , which took place last month in Orlando at the landmark resort. Alation was proud to have been among the thought leaders at the annual gathering of data experts from around the world. It’s the place where dreams come true.

Data Analytics 52

Data Analytics Analytics Metadata Data Governance 52

Ontotext

APRIL 10, 2024

In most enterprises data teams lack a data map and data asset inventory and are often unaware of data that exists across the organization, its associated profile, quality and associated metadata. Teams can’t access data to build their business use cases. For example, a product data tag is basic metadata.

Metadata 52

Metadata Data Lake Data Warehouse Data Quality 52

AWS Big Data

JANUARY 8, 2024

This is the first post to a blog series that offers common architectural patterns in building real-time data streaming infrastructures using Kinesis Data Streams for a wide range of use cases. All these architecture patterns are integrated with Amazon Kinesis Data Streams.

Analytics 113

Analytics IoT Data-driven Snapshot 113

Cloudera

JUNE 7, 2022

Also, Cloudera DataFlow is rated highly in the GigaOm Radar for Streaming Data Platforms. Leading industry analysts rated Cloudera better at analytic and operational data use cases than many well-known cloud vendors. Only Cloudera has the power to span multi-cloud and on-premises with a hybrid data platform.

IT 112

IT Data Architecture Unstructured Data Big Data 112

IBM Big Data Hub

APRIL 10, 2023

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

Strategy 86

Strategy Data Architecture Cost-Benefit Reporting 86

erwin

JANUARY 9, 2020

That’s because it’s the best way to visualize metadata , and metadata is now the heart of enterprise data management and data governance/ intelligence efforts. So here’s why data modeling is so critical to data governance. erwin Data Modeler: Where the Magic Happens.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

AWS Big Data

APRIL 26, 2023

This is a guest blog post co-written with Corey Johnson from Huron. Having an accurate and up-to-date inventory of all technical assets helps an organization ensure it can keep track of all its resources with metadata information such as their assigned oners, last updated date, used by whom, how frequently and more.

Metadata 52

Metadata Dashboards Visualization Consulting 52

Alation

JANUARY 9, 2023

The Australian Prudential Regulation Authority (APRA) released nonbinding standards covering data risk management. Another agency later also published a legally binding standard to strengthen risk management for financial institutions with specific language related to data architecture and IT infrastructure.

Risk Management 52

Risk Management Risk Management Metadata 52

erwin

OCTOBER 16, 2020

And this time sensitivity is a massive issue, as taking a proactive and data-driven approach can literally mean life or death to your business or to your customers. And that’s where data analytics can play a huge role. There’s a common denominator in what they’re all missing, and that is data intelligence.

Internet of Things 145

Internet of Things Data-driven Uncertainty Data Governance 145

Cloudera

MARCH 17, 2023

As the use of ChatGPT becomes more prevalent, I frequently encounter customers and data users citing ChatGPT’s responses in their discussions. I love the enthusiasm surrounding ChatGPT and the eagerness to learn about modern data architectures such as data lakehouses, data meshes, and data fabrics.

Unstructured Data 64

Unstructured Data Data Lake Data Warehouse Machine Learning 64

Ontotext

NOVEMBER 16, 2023

Figure 1 Shows the overall idea of a data mesh with the major components: What Is a Data Mesh and How Does It Work? Think of data mesh as an operational mode for organizations with a domain-driven, decentralized data architecture. What Is a Data Product and Who Owns Them?

Metadata 52

Metadata Data-driven Data Quality Data Architecture 52

Cloudera

OCTOBER 11, 2022

Al needs machine learning (ML), ML needs data science. Data science needs analytics. And they all need lots of data. But it isn’t just aggregating data for models. Data needs to be prepared and analyzed. And that data is likely in clouds, in data centers and at the edge.

Snapshot 94

Snapshot Data Science Digital Transformation Metadata 94

Ontotext

DECEMBER 1, 2023

Atanas Kiryakov presenting at KGF 2023 about Where Shall and Enterprise Start their Knowledge Graph Journey Only data integration through semantic metadata can drive business efficiency as “it’s the glue that turns knowledge graphs into hubs of metadata and content”.

Metadata 78

Metadata Sales Consulting Enterprise 78

Cloudera

JANUARY 5, 2023

With the increase in demand for real-time data processing, streaming, and sharing, which power transformation into data-driven organizations, we anticipate more businesses investing in building adaptive AI systems that can ingest large amounts of data at frequent intervals and adapt to changes and variances quickly.

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes. Iterations of the lakehouse.

Data Lake 94

Data Lake Data Warehouse Machine Learning Cost-Benefit 94

Cloudera

SEPTEMBER 15, 2022

The gathering in 2022 marked the sixteenth year for top data and analytics professionals to come to the MIT campus to explore current and future trends. A key area of focus for the symposium this year was the design and deployment of modern data platforms. What is a data fabric? Are there things they should keep in mind?

Data Lake 83

Data Lake Data Architecture Data-driven Data Warehouse 83

Ontotext

APRIL 15, 2020

Knowledge graphs are collections of live, richly interconnected, machine-processable knowledge that use formal semantics and automated reasoning to enable deep analytics. Their ability to derive new knowledge out of existing facts and uncover hidden relationships make them best suited to analyze rapidly changing data from disparate sources.

Publishing 105

Publishing Metadata Data mining Technology 105

TDAN

MAY 3, 2022

The road to creating business value through a well-oiled data management strategy can be long and challenging. A successful data management strategy is one that generates value rapidly and unlocks new data-driven insights.

Analytics 52

Analytics Data-driven Strategy Management 52

IBM Big Data Hub

JUNE 30, 2022

There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with business objectives. The diversity of data types, data processing, integration and consumption patterns used by organizations has grown exponentially.

Data Strategy 56

Data Strategy Strategy Business Objectives Data-driven 56

AWS Big Data

JUNE 7, 2023

This is a guest blog post co-written with Sumesh M R from Cargotec and Tero Karttunen from Knowit Finland. Cargotec captures terabytes of IoT telemetry data from their machinery operated by numerous customers across the globe. An AWS Glue job (metadata exporter) runs daily on the source account.

Metadata 55

Metadata Data Lake Machine Learning Big Data 55

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 85

Data Architecture Risk Management Risk Management 85

Alation

FEBRUARY 20, 2020

But it is the contextual usage information of data that is critical to answer data consumers’ and stewards’ questions. Cataloging both data and queries provides insight into. How recently the data was used. How recently the data was updated. What the mapping is of technical metadata to business descriptions.

Metadata 52

Metadata Enterprise Data Processing Data Architecture 52

Cloudera

SEPTEMBER 28, 2020

The customer had shorter upgrade windows, which dictated the need to do an in-place upgrade by installing CDP on their existing environment, instead of a longer migration path that required data migrations, operation overhead to setup news clusters and time needed to procure and setup new hardware. on roadmap). Instead use Ranger REST API.

Testing 132

Testing Metadata Risk Data Science 132

Alation

MARCH 1, 2023

What are the goals of your data team? We wanted to introduce a Kappa architecture to serve not only our operational data needs, but our analytical data needs too. And we wanted to do this through one data architecture where possible, so that we didn’t duplicate processes. Karla: Well, they’re twofold.

Data Strategy 52

Data Strategy Strategy Metadata Interactive 52

Cloudera

AUGUST 30, 2022

Data quality issues deter trust and hinder accurate analytics. Modern data architectures. To eliminate or integrate these silos, the public sector needs to adopt robust data management solutions that support modern data architectures (MDAs). Deploying modern data architectures.

Data Architecture 79

Data Architecture Data Lake Metadata Data Warehouse 79

Alation

APRIL 19, 2021

If an enterprise doesn’t have visibility into data, then the process can become time-consuming and costly. With a good plan and a modern data catalog, you can minimize the time and cost of cloud migration. Source: Webinar with data expert Ibby Rahmani: Emerging Trends in Data Architecture: What’s the Next Big Thing?

Cost-Benefit 111

Cost-Benefit Strategy Enterprise Data Strategy 111

Cloudera

AUGUST 21, 2020

Data-in-motion is predominantly about streaming data so enterprises typically have two different ways or binary ways of looking at data. Data-in-motion on the other hand is data constantly coming into an enterprise or into the cloud that doesn’t have any finite end to it.

Enterprise 62

Enterprise Data Lake Strategy Metadata 62

erwin

OCTOBER 24, 2019

Untapped data, if mined, represents tremendous potential for your organization. While there has been a lot of talk about big data over the years, the real hero in unlocking the value of enterprise data is metadata , or the data about the data. Metadata Is the Heart of Data Intelligence.

Metadata 104

Metadata Management Data-driven Data Architecture 104

Data Virtualization

MAY 19, 2023

Reading Time: 11 minutes The post Data Strategies for Getting Greater Business Value from Distributed Data appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Strategy 52

Data Strategy Strategy Data Integration Management 52

Data Virtualization

NOVEMBER 17, 2022

The idea seems, on the face of it, easy to understand: a data catalog is simply a centralized inventory of the data assets within an organization. Data catalogs also seek to be the. The post Choosing a Data Catalog: Data Map or Data Delivery App?

Data Integration 59

Data Integration Management Data Lake IT 59

Alation

FEBRUARY 13, 2020

After coining the term “data catalog,” we were faced with the hard work of explaining exactly what a data catalog is, and why it is critical to achieving business outcomes from self-service analytics. Alation is helping more people than ever make confident data driven decisions. Subscribe to Alation's Blog.

Enterprise 52

Enterprise Data Lake Machine Learning Data-driven 52

Data Virtualization

MARCH 3, 2021

To remain competitive, organizations must have a data management strategy in place to effectively ingest, store, organize, and analyze data while ensuring that it is. The post Data Management Challenges for the Modern Enterprise appeared first on Data Virtualization blog.

Enterprise 75

Enterprise Management Strategy Data Lake 75

Ontotext

JANUARY 10, 2024

Limiting growth by (data integration) complexity Most operational IT systems in an enterprise have been developed to serve a single business function and they use the simplest possible model for this. A slightly different angle to the same problem is discussed in a recent Ontotext blog post. So, they become very data-driven.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

Cloudera

FEBRUARY 22, 2022

Over the past decade, the successful deployment of large scale data platforms at our customers has acted as a big data flywheel driving demand to bring in even more data, apply more sophisticated analytics, and on-board many new data practitioners from business analysts to data scientists. Key Design Goals

Snapshot 110

Snapshot Metadata Cost-Benefit Data Architecture 110

Cloudera

MARCH 23, 2022

Let’s highlight some of those benefits, and why choosing CDP and Iceberg can future proof your next generation data architecture. . Figure 1: Apache Iceberg fits the next generation data architecture by abstracting storage layer from analytics layer while introducing net new capabilities like time-travel and partition evolution. #1:

Metadata 92

Metadata Data Architecture Machine Learning Cost-Benefit 92

Cloudera

JULY 19, 2023

Introduction Ozone is an Apache Software Foundation project to build a distributed storage platform that caters to the demanding performance needs of analytical workloads, content distribution, and object storage use cases. As Ozone scales to exabytes of data, it is important to ensure that Ozone Manager can perform at scale.

Management 70

Management Metadata Metrics Optimization 70

AWS Big Data

AUGUST 31, 2023

Amazon Redshift is a fast, fully managed petabyte-scale cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. Solution overview Apache Iceberg is an open table format for very large petabyte-scale analytic datasets.

Data Lake 93

Data Lake Data Warehouse Metadata Data Architecture 93