IBM Big Data Hub

APRIL 27, 2023

The recent study also found that the Enabled rely on ERP data structures to address sustainability goals, among other standout findings, including: Enabled report 47% of sustainability performance data is collected in their ERP, but they expect that to increase to 55% by 2025—a 17% increase.

Data structuring 80

Data structuring Manufacturing Access Government 80

IBM Big Data Hub

MARCH 27, 2024

Programming languages like Java have incompatible object models with today’s database-specific data structures and formats. Consequently, mapping objects to database-specific models, converting data and generating objects for each query result in expensive latencies of up to 100ms or more, even when retrieving data from cache.

Cloud 97

Cloud Data structuring Marketing IT 97

IBM Big Data Hub

DECEMBER 16, 2022

A business glossary to explain the business terms used within a data asset. With this detailed level of intelligence about the data, Alex can view details regarding data lineage and data structure alongside comments from other data users about what each dataset contains. Protected and compliant data.

Metadata 52

Metadata Data Privacy Access Libraries 52

erwin

AUGUST 15, 2022

NoSQL databases are increasingly used in big data and real-time web applications. As the Wikipedia definition basically spelled out (the blue sentence), the key differentiator is that these databases store data in something other than tabular formatted tables. Flexible data structures (i.e. no schemas).

Cloud 52

Cloud Unstructured data Data structuring Analytics 52

IBM Big Data Hub

NOVEMBER 29, 2023

With the emergence of new advances and applications in machine learning models and artificial intelligence, including generative AI, generative adversarial networks, computer vision and transformers, many businesses are seeking to address their most pressing real-world data challenges using both types of synthetic data: structured and unstructured.

Privacy 83

Privacy Data Privacy Artificial Intelligence Risk 83

Reltio

NOVEMBER 9, 2019

It’s the people who have no idea what master data is and no time to learn it – but who have all the money – who really need to understand the value of it and what it can do for the enterprise.” . How would you define “modern” data management and what does it /should it mean for organisations that adopt it?

MDM 40

MDM Marketing Big data Cloud 40

Collibra

DECEMBER 1, 2020

Data lake management: Prevent a data swamp. A data lake is a storage repository that holds a vast amount of raw data in its native format, including structured, semi-structured and unstructured data. The data structure and requirements are not defined until the data is needed.

Government 59

Government Analytics Marketing Unstructured data 59

Reltio

APRIL 23, 2019

It’s the people who have no idea what master data is and no time to learn it – but who have all the money – who really need to understand the value of it and what it can do for the enterprise.” . How would you define “modern” data management and what does it /should it mean for organisations that adopt it?

MDM 40

MDM Marketing Big data Cloud 40

IBM Big Data Hub

JUNE 23, 2023

Companies need to get a good understanding of data ( structured and unstructured ), organize it, manage it in a secure manner (while complying with industry regulations) and enable instant access to the “right” data. as required for a “Gig Economy”).

Insurance 57

Insurance Cloud Digital transformation Customer Experience 57

erwin

SEPTEMBER 25, 2020

Understanding the benefits of data modeling is more important than ever. Data modeling is the process of creating a data model to communicate data requirements, documenting data structures and entity types. Top Six Benefits of Data Modeling. Quite simply, you can’t manage what you can’t see.

Data structuring 111

Data structuring Cloud Metadata Financial Services 111

IBM Big Data Hub

OCTOBER 2, 2023

It was equally important that this infrastructure contained consistent metadata and data structures across all entities, preventing data redundancy and streamlining processes. The primary goal in adopting a planning and analytics solution was to link data and processes across departments.

Analytics 91

Analytics Data structuring Manufacturing Metadata 91

erwin

MAY 27, 2020

A data modeling solution should make it possible for business and semantic metadata to be created to augment physical data for ingestion into a data catalog, which provides a mechanism for IT and business users to make use of the metadata or data structures underpinning source systems.

Metadata 98

Metadata Government Data structuring Analytics 98

IBM Big Data Hub

MAY 20, 2024

What the following problems share are many variables, a structure that seems to map well to the rules of quantum mechanics, and difficulty solving them with today’s HPC resources. They broadly fall into three buckets: Advanced mathematics and complex data structures.

Energy and Utilities 98

Energy and Utilities Artificial Intelligence Data structuring Analytics 98

IBM Big Data Hub

APRIL 5, 2024

An industry-standard data model A uniform data model is necessary to get a full view of combined systems with information flowing across the ecosystem. Technical, financial, geographical, operational and transactional data attributes are all parts of a data structure.

Energy and Utilities 67

Energy and Utilities Data structuring Risk Marketing 67

IBM Big Data Hub

JULY 6, 2023

It can ingest unstructured data in its raw form (e.g., As we generate more big data, data scientists will use more machine learning. A deep-learning model requires more data points to improve accuracy, whereas a machine-learning model relies on less data given its underlying data structure.

Artificial Intelligence 57

Artificial Intelligence Unstructured data Data structuring Customer Experience 57

Everteam

MARCH 12, 2019

Much of the data we manage today is semi-structured, so why have separate solutions to manage each one? Making Unstructured Data, Structured. “80% 80% of data is unstructured.” In your efforts to manage your unstructured data, did you know you are actually making unstructured data structured?

Unstructured data 84

Unstructured data Metadata Information governance Data structuring 84

ARMA International

SEPTEMBER 13, 2021

Gartner (2021) defines data management as “the practices, architectural techniques, and tools for achieving consistent access to and delivery of data across the spectrum of data subject areas and data structure types in the enterprise, to meet the data consumption requirements of all applications and business processes.”

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

ARMA International

SEPTEMBER 22, 2021

Now the Fourth Industrial Revolution [2] is “digitizing the farm”— that is, radically reimagining agriculture through big data analytics that help farmers increase crop yields and using artificial intelligence (AI) to monitor pests, plant diseases, soil nutrients, and other growing conditions.

Digital transformation 52

Digital transformation Content services IT e-Discovery 52

IBM Big Data Hub

MARCH 29, 2024

GraphQL APIs use a single GraphQL endpoint to give clients a precise, comprehensive data response in a one round trip from a single request, eliminating over- and under-fetching issues. Versioning In a REST architecture, teams must version APIs to modify data structures, and prevent system errors and service disruptions for the end user.

Communications 75

Communications Libraries Digital transformation Data structuring 75

Collibra

MARCH 1, 2022

They still have Cobolt Mainframes, relational and star schema base data warehouses and data marts. “We also implemented Hadoop’s analytics platform for our big data needs,” said Vikram. It can get overwhelming for data consumers to figure out where to get the data they need.”

Metadata 52

Metadata Cloud Government Analytics 52

Collibra

MARCH 1, 2022

They still have Cobolt Mainframes, relational and star schema base data warehouses and data marts. “We also implemented Hadoop’s analytics platform for our big data needs,” said Vikram. It can get overwhelming for data consumers to figure out where to get the data they need.”

Metadata 52

Metadata Cloud Government Analytics 52

IBM Big Data Hub

JULY 6, 2023

IBM Envizi’s product suite can help organizations report to multiple ESG frameworks With IBM Envizi, organizations can streamline the way they collect, manage and report their ESG data, allowing them to more efficiently comply with the requirements of different ESG reporting frameworks.

Insurance 51

Insurance Government Data structuring Communications 51

IBM Big Data Hub

MARCH 25, 2022

You need to know basic machine learning, statistics, scheduling algorithms, data structures, network protocols, query languages, and runtime designs – all these pieces of computer science including distributed systems. I developed code, ran a team of engineers, and became the Chief Architect, and then the Chief Technology Officer.

Analytics 70

Analytics Marketing Cloud Risk 70

erwin

AUGUST 31, 2023

The Entity-Relationship (ER) model gains prominence as a tool for conceptual data modeling, helping to bridge the gap between business requirements and database design. 2000s – Web and Big Data: The rise of the internet and web applications drives the demand for efficient and scalable databases.

Paper 98

Paper Government Data structuring Metadata 98