Ontotext

JANUARY 29, 2024

In 2023, data leaders and enthusiasts were enamored of — and often distracted by — initiatives such as generative AI and cloud migration. I expect to see the following data and knowledge management trends emerge in 2024. However, organizations need to be aware that these may be nothing more than bolted-on Band-Aids.

Strategy 52

Strategy Management Metadata Data-driven 52

IBM Big Data Hub

SEPTEMBER 27, 2023

In modern software and system management, observability goes beyond focusing on just one part of the stack. However, this approach can overlook intricate interactions and dependencies between different parts of the stack. Why is this a myth? Mainframe systems : Even in mainframe systems, observability plays a vital role.

Metrics 76

Metrics Interactive Optimization Data-driven 76

Cloudera

JANUARY 5, 2023

In the past year, businesses who doubled down on digital transformation during the pandemic saw their efforts coming to fruition in the form of cost savings and more streamlined data management. 1- Treating data as a strategic business asset . 2- Operationalizing adaptive AI systems for quicker business decision-making.

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

CIO Business Intelligence

JANUARY 4, 2023

Cloud, sustainability, scale, and exponential data growth—these major factors that set the tone for high performance computing (HPC) in 2022 will also be key in driving innovation for 2023. As leaders in the HPC industry, we are worried about how to cool these data centers. Another big focus is on liquid cooling. [2]

Cost-Benefit 59

Cost-Benefit Machine Learning Modeling Uncertainty 59

AWS Big Data

APRIL 26, 2023

Even if organizations can follow manual approaches to update the inventory records but it is recommended to build automation, so that it is accurate at any point of time. By embracing diverse perspectives, encouraging new ideas, and challenging the status quo, Huron creates sustainable results for the organizations we serve.

Metadata 52

Metadata Dashboards Visualization Consulting 52

Ontotext

FEBRUARY 12, 2024

Although the enterprise data landscape is littered with new data technology and offerings, the most pressing problem data teams face today isn’t a lack of technology or skills; it’s not knowing how to create a modern data experience. Why Data Mesh?

IT 64

IT Metadata Data Quality Data Lake 64

Alation

FEBRUARY 8, 2022

The “data textile” wars continue! In our first blog in this series , we define the terms data fabric and data mesh. The second blog took a deeper dive into data fabric, examining its key pillars and the role of the data catalog in each. But why is such an inversion needed?

Data Governance 52

Data Governance Data-driven Metadata Enterprise 52

datapine

NOVEMBER 19, 2019

The modern world is changing more and more quickly with each passing year. No matter if you need to conduct quick online data analysis or gather enormous volumes of data, this technology will make a significant impact in the future. The solution? To keep abreast of current changes – at least at a level of basic understanding.

Technology 279

Technology Internet of Things IT IoT 279

Alation

JUNE 21, 2022

The product concept back then went something like: In a world where enterprises have numerous sources of data, let’s make a thing that helps people find the best data asset to answer their question based on what other users were using. Thus was born the data catalog. Data engineers want to catalog data pipelines.

Metadata 52

Metadata Data Quality Visualization Data Lake 52

BI-Survey

APRIL 27, 2023

While most continue to struggle with data quality issues and cumbersome manual processes, best-in-class companies are making improvements with commercial automation tools. The data vault has strong adherents among best-in-class companies, even though its usage lags the alternative approaches of third-normal-form and star schema.

Modeling 52

Modeling Data Warehouse Data Quality Business Driver 52

AWS Big Data

FEBRUARY 27, 2024

In the ever-evolving world of finance and lending, the need for real-time, reliable, and centralized data has become paramount. Bluestone , a leading financial institution, embarked on a transformative journey to modernize its data infrastructure and transition to a data-driven organization.

Data-driven 91

Data-driven Data Lake Data Quality Data Governance 91

Alation

JANUARY 27, 2022

How do businesses transform raw data into competitive insights? Data analytics. Modern businesses are increasingly leveraging analytics for a range of use cases. As an organization embraces digital transformation , more data is available to inform decisions. It can also help prevent data misuse.

Data Governance 52

Data Governance Analytics Cost-Benefit Data-driven 52