AWS Big Data

MARCH 14, 2024

For us, Kafka’s high-performance distributed log system excels in handling massive data streams, making it indispensable for seamless communication. The unwavering reliability of Kafka aligns with our commitment to data integrity. For more information, refer to Data protection in Amazon Managed Streaming for Apache Kafka.

Management 109

Management Insurance Optimization Strategy 109

erwin

JANUARY 30, 2020

I’m excited to share the results of our new study with Dataversity that examines how data governance attitudes and practices continue to evolve. Defining Data Governance: What Is Data Governance? . 1 reason to implement data governance. Constructing a Digital Transformation Strategy: How Data Drives Digital.

Data Governance 145

Data Governance Metadata Cost-Benefit Digital Transformation 145

erwin

OCTOBER 8, 2020

So if you’re going to move from your data from on-premise legacy data stores and warehouse systems to the cloud, you should do it right the first time. And as you make this transition, you need to understand what data you have, know where it is located, and govern it along the way. Then you must bulk load the legacy data.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

Cloudera

JUNE 1, 2021

This means we can double down on our strategy – continuing to win the Hybrid Data Cloud battle in the IT department AND building new, easy-to-use cloud solutions for the line of business. And, the Enterprise Data Cloud category we invented is also growing. After all, we invented the whole idea of Big Data. Our strategy.

Uncertainty 144

Uncertainty Cost-Benefit Risk Strategy 144

erwin

JANUARY 24, 2019

Organizations are responsible for governing more data than ever before, making a strong automation framework a necessity. In most companies, an incredible amount of data flows from multiple sources in a variety of formats and is constantly being moved and federated across a changing system landscape. Governing metadata.

Data Governance 71

Data Governance Metadata Data-driven Cost-Benefit 71

Ontotext

NOVEMBER 2, 2023

Achieving this advantage is dependent on their ability to capture, connect, integrate, and convert data into insight for business decisions and processes. This is the goal of a “data-driven” organization. We call this the “ Bad Data Tax ”. This is partly because integrating and moving data is not the only problem.

IT 69

IT Cost-Benefit Data-driven Technology 69

Cloudera

JUNE 22, 2023

These dis-integrated resources are “data platforms” in name only: in addition to their high maintenance costs, their lack of interoperability with other critical systems makes it difficult to respond to business change. The top-line benefits of a hybrid data platform include: Cost efficiency. Simplified compliance. Flexibility.

Cost-Benefit 65

Cost-Benefit Digital Transformation Data Governance Unstructured Data 65

Smart Data Collective

JULY 15, 2021

A data catalog serves the same purpose. By using metadata (or short descriptions), data catalogs help companies gather, organize, retrieve, and manage information. You can think of a data catalog as an enhanced Access database or library card catalog system. It helps you locate and discover data that fit your search criteria.

Metadata 127

Metadata IT Data-driven Data Quality 127

erwin

NOVEMBER 6, 2019

erwin released its State of Data Governance Report in February 2018, just a few months before the General Data Protection Regulation (GDPR) took effect. Download Free GDPR Guide | Step By Step Guide to Data Governance for GDPR?. IDC Technology Spotlight, Data Intelligence in Context: Get the report (… it’s free).

Metadata 102

Metadata Data Governance Management Cost-Benefit 102

IBM Big Data Hub

JANUARY 15, 2024

Also, machine learning will be an incredibly powerful tool for data-driven organizations looking to take better advantage of their data analytics practices. But organizations still need humans to decide what actions to take based on what the ML-analyzed data shows.

Digital Transformation 79

Digital Transformation Internet of Things IoT Consulting 79

erwin

MAY 14, 2021

compliance with the General Data Protection Regulation). Accelerating the retrieval and analysis of data —so much of it unstructured—is vital to becoming a data-driven business that can effectively respond in real time to customers, partners, suppliers and other parties, and profit from these efforts.

Modeling 80

Modeling Digital Transformation Data-driven Optimization 80

erwin

MAY 2, 2022

How to create a solid foundation for data modeling of OLTP systems. As you undertake a cloud database migration , a best practice is to perform data modeling as the foundation for well-designed OLTP databases. This makes mastering basic data modeling techniques and avoiding common pitfalls imperative. Data modeling basics.

Modeling 98

Modeling Insurance Cost-Benefit Data Warehouse 98

Smart Data Collective

APRIL 15, 2021

Business Intelligence is the practice of collecting and analyzing data and transforming it into useful, actionable information. Business Intelligence uses methods and tools like machine learning to take massive, unstructured swaths of data and turn them into easy-to-use reports. Set Up Data Integration.

Business Intelligence 97

Business Intelligence Analytics Statistics Data Warehouse 97

IBM Big Data Hub

SEPTEMBER 20, 2022

Alongside the significant brand reputation risk, there’s also a growing set of data and AI regulations across the world and across industries — like the upcoming European Union AI Act — that companies must adhere to. How do you accommodate for drifting data patterns? How a data fabric enables trustworthy AI. Is it scalable?

Metadata 57

Metadata Machine Learning Data-driven Modeling 57

Ontotext

APRIL 6, 2023

Knowledge graphs are changing the game A knowledge graph is a data model that uses semantics to represent real-world entities and the relationships between them. It can apply automated reasoning to extract further knowledge and make new connections between different pieces of data. The possibilities are endless!

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

erwin

JANUARY 11, 2019

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on. But the attempts to standardize data across the entire enterprise haven’t produced the desired results.

Data Governance 40

Data Governance Risk Metadata Management 40

erwin

APRIL 4, 2022

If you’re a long-time erwin ® Data Modeler by Quest ® customer, you might be asking yourself, “What happened to the release naming convention of erwin Data Modeler?” In 2021 erwin Data Modeler released 2021R1. So, this release of erwin Data Modeler aligns with the release of erwin Data Intelligence 12.0,” he concluded.

Modeling 52

Modeling Data Processing Data-driven Big Data 52

Cloudera

AUGUST 31, 2021

Cloudera and Accenture demonstrate strength in their relationship with an accelerator called the Smart Data Transition Toolkit for migration of legacy data warehouses into Cloudera Data Platform. Accenture’s Smart Data Transition Toolkit . Are you looking for your data warehouse to support the hybrid multi-cloud?

Data Warehouse 80

Data Warehouse Cost-Benefit Metadata Data-driven 80

AWS Big Data

MAY 16, 2024

Apache Airflow is a popular platform for enterprises looking to orchestrate complex data pipelines and workflows. In this post, we’re excited to introduce two new features that address common customer challenges and unlock new possibilities for building robust, scalable, and flexible data orchestration solutions using Amazon MWAA.

Testing 88

Testing Interactive Metrics Management 88

erwin

JANUARY 17, 2019

Data governance is more important to the enterprise than ever before. It ensures everyone in the organization can discover and analyze high-quality data to quickly deliver business value. It assists in successfully meeting increasingly strict compliance requirements, such as those in the General Data Protection Regulation (GDPR).

Metadata 63

Metadata Data Governance Data Quality Data-driven 63

FineReport

APRIL 26, 2023

As the world becomes increasingly digitized, the amount of data being generated on a daily basis is growing at an unprecedented rate. This has led to the emergence of the field of Big Data, which refers to the collection, processing, and analysis of vast amounts of data. What is Big Data? What is Big Data?

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Ontotext

JUNE 10, 2021

And yeah, the real-world relationships among the entities represented in the data had to be fudged a bit to fit in the counterintuitive model of tabular data, but, in trade, you get reliability and speed. Ironically, relational databases only imply relationships between data points by whatever row or column they exist in.

Metadata 119

Metadata Cost-Benefit OLAP Modeling 119

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

IBM Big Data Hub

JULY 26, 2023

Flexibility and Adaptability: Traditional budgeting systems often rely on historical data and incremental adjustments. This enables informed decision-making, as leaders have a clearer understanding of the trade-offs involved and can make strategic choices based on reliable data. How to implement Zero-Based Budgeting?

Cost-Benefit 62

Cost-Benefit Optimization Visualization Data-driven 62

CIO Business Intelligence

MARCH 21, 2022

It’s especially poignant when we consider the extent to which financial data can steer business strategy for the better. This is the impact of data-driven financial analysis – or what is termed FP&A – in the business context. billion is lost to low-value, manual data processing and management while $1.7

Data-driven 109

Data-driven IT Finance Forecasting 109

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

Ontotext

JANUARY 10, 2024

Next, I will explain how knowledge graphs help them to get a unified view to data derived from multiple sources and get richer insights in less time. This requires new tools and new systems, which results in diverse and siloed data. And each of these gains requires data integration across business lines and divisions.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

Ontotext

MARCH 8, 2023

Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. Use Case #1: Customer 360 / Enterprise 360 Customer data is typically spread across multiple applications, departments, and regions. Several factors are driving the adoption of knowledge graphs. million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

AWS Big Data

APRIL 17, 2024

With this new instance family, OpenSearch Service uses OpenSearch innovation and AWS technologies to reimagine how data is indexed and stored in the cloud. Today, customers widely use OpenSearch Service for operational analytics because of its ability to ingest high volumes of data while also providing rich and interactive analytics.

Optimization 115

Optimization Snapshot Metadata Cost-Benefit 115

Ontotext

OCTOBER 28, 2021

It demonstrates how GraphDB and metaphactory work together and how you can employ the platform’s intuitive and out-of-the-box search, visualization and authoring components to empower end users to consume data from your knowledge graph. Data normalization is an essential step in the data preparation process.

Visualization 52

Visualization Interactive Knowledge Discovery Dashboards 52

AWS Big Data

OCTOBER 27, 2023

Data integration is the foundation of robust data analytics. It encompasses the discovery, preparation, and composition of data from diverse sources. In the modern data landscape, accessing, integrating, and transforming data from diverse sources is a vital process for data-driven decision-making.

Analytics 97

Analytics Visualization Data Integration Cost-Benefit 97

Ontotext

FEBRUARY 26, 2024

This is part of Ontotext’s AI-in-Action initiative aimed at enabling data scientists and engineers to benefit from the AI capabilities of our products. RED’s focus on news content serves a pivotal function: identifying, extracting, and structuring data on events, parties involved, and subsequent impacts.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

AWS Big Data

MAY 3, 2023

In today’s data-driven business environment, organizations face the challenge of efficiently preparing and transforming large amounts of data for analytics and data science purposes. Businesses need to build data warehouses and data lakes based on operational data.

Data Lake 81

Data Lake Data Warehouse Data-driven Optimization 81

AWS Big Data

JUNE 6, 2023

AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning (ML), and application development. Hundreds of thousands of customers use data lakes for analytics and ML to make data-driven business decisions.

Data Quality 74

Data Quality Data Lake Data-driven Metrics 74

CIO Business Intelligence

NOVEMBER 18, 2022

3M 360 Encompass is a collection of applications that work together to help hospitals streamline processes, receive accurate reimbursement, promote compliance, and make data-informed decisions. 3M Health Information Systems (3M HIS), one of the world’s largest providers of software solutions for the healthcare industry, exemplifies 3M Co.’s

Insurance 75

Insurance Contextual Data Testing Unstructured Data 75

O'Reilly on Data

OCTOBER 11, 2022

We’ll see it in the processing of the thousands of documents businesses handle every day. Some tasks should not be automated; some tasks could be automated, but the company has insufficient data to do a good job; some tasks can be automated easily, but would benefit from being redesigned first. We’ll see it in customer service.

Data Integration 291

Data Integration Insurance Dashboards Modeling 291

erwin

FEBRUARY 6, 2020

As organizations deal with managing ever more data, the need to automate data management becomes clear. Last week erwin issued its 2020 State of Data Governance and Automation (DGA) Report. One piece of the research that stuck with me is that 70% of respondents spend 10 or more hours per week on data-related activities.

Management 144

Management Data Governance Cost-Benefit Metadata 144