Alation

JANUARY 20, 2022

What’s the business impact of critical data elements being trustworthy… or not? In this step, you connect data integrity to business results in shared definitions. This work enables business stewards to prioritize data remediation efforts. Step 4: Data Sources. Step 9: Data Quality Remediation Plans.

Data Quality 94

Data Quality Data Governance Metrics Statistics 94

erwin

JANUARY 3, 2019

With this in mind, the erwin team has compiled a list of the most valuable data governance, GDPR and Big data blogs and news sources for data management and data governance best practice advice from around the web. Top 7 Data Governance, GDPR and Big Data Blogs and News Sources from Around the Web.

Data Governance 53

Data Governance Big Data Data-driven Data Processing 53

AWS Big Data

MARCH 8, 2023

This is especially important if you’re making time-sensitive decisions in a high-velocity data environment. Kafka Connect is an open-source component of Apache Kafka that works as a centralized data hub for simple data integration between databases, key-value stores, search indexes, and file systems. Choose Next.

Data-driven 72

Data-driven Testing Data Processing Management 72

datapine

AUGUST 20, 2019

Integration automates data ingestion to: process large files easily without manually coding or relying on specialized IT staff. handle large data volumes and velocity by easily processing up to 100GB or larger files. Data ingestion becomes faster and much accurate. get rid of expensive hardware, IT databases, and servers.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

Ontotext

DECEMBER 1, 2023

So, KGF 2023 proved to be a breath of fresh air for anyone interested in topics like data mesh and data fabric , knowledge graphs, text analysis , large language model (LLM) integrations, retrieval augmented generation (RAG), chatbots, semantic data integration , and ontology building.

Metadata 78

Metadata Sales Consulting Enterprise 78

Alation

APRIL 14, 2023

Last week, the Alation team had the privilege of joining IT professionals, business leaders, and data analysts and scientists for the Modern Data Stack Conference in San Francisco. Practitioners and hands-on data users were thrilled to be there, and many connected as they shared their progress on their own data stack journeys.

Data Warehouse 52

Data Warehouse Data-driven Digital Transformation Metadata 52

BizAcuity

MAY 24, 2022

Quick recap from the previous blog- The cloud is better than on-premises solutions for the following reasons: Cost cutting: Renting and sharing resources instead of building on your own. IaaS provides a platform for compute, data storage and networking capabilities. Microsoft’s blog paints quite the picture about this issue.

Data-driven 52

Data-driven Cost-Benefit Digital Transformation Strategy 52

IBM Big Data Hub

FEBRUARY 6, 2024

Through the development of cyber recovery plans that include data validation through custom scripts, machine learning to increase data backup and data protection capabilities, and the deployment of virtual machines (VMs) , companies can recover from cyberattacks and prevent re-infection by malware in the future.

Cost-Benefit 106

Cost-Benefit Testing Risk Strategy 106

Jedox

APRIL 30, 2020

In our first post in this blog series, we discussed the benefits of automating Sales Performance Management (SPM) and the related challenges. Let’s dive deeper: Data integration. Sales Compensation Management is the most critical business function within SPM. Details and registration here.

Sales 52

Sales Management Reporting Interactive 52

IBM Big Data Hub

JANUARY 11, 2024

Some enterprises tolerate zero RPO by constantly performing data backup to a remote data center to ensure data integrity in case of a massive breach. Explore Veeam on IBM Cloud The post Business disaster recovery use cases: How to prepare your business to face real-world threats appeared first on IBM Blog.

Cost-Benefit 112

Cost-Benefit Risk Enterprise Software 112

CDW Research Hub

JANUARY 28, 2022

Hybrid cloud continues to help organizations gain cost-effectiveness and increase data mobility between on-premises, public cloud, and private cloud without compromising data integrity. With a multi-cloud strategy, organizations get the flexibility to collect, segregate and store data whether it’s on- or off-premises.

Digital Transformation 86

Digital Transformation Data-driven IoT Optimization 86

CIO Business Intelligence

APRIL 27, 2022

All are ideally qualified to help their customers achieve and maintain the highest standards for data integrity, including absolute control over data access, transparency and visibility into the provider’s operation, the knowledge that their information is managed appropriately, and access to VMware’s growing ecosystem of sovereign cloud solutions.

Digital Transformation 111

Digital Transformation Metadata Risk Management 111

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 ”.

IT 69

IT Cost-Benefit Data-driven Technology 69

AWS Big Data

JULY 31, 2023

Customers often use many SQL scripts to select and transform the data in relational databases hosted either in an on-premises environment or on AWS and use custom workflows to manage their ETL. AWS Glue is a serverless data integration and ETL service with the ability to scale on demand. Choose Confirm.

Sales 52

Sales Data Warehouse Visualization Testing 52

Ontotext

SEPTEMBER 15, 2020

Added to this is the increasing demands being made on our data from event-driven and real-time requirements, the rise of business-led use and understanding of data, and the move toward automation of data integration, data and service-level management. This provides a solid foundation for efficient data integration.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

AWS Big Data

AUGUST 3, 2023

Change data capture (CDC) is one of the most common design patterns to capture the changes made in the source database and reflect them to other data stores. a new version of AWS Glue that accelerates data integration workloads in AWS. For Data source name , enter a name (for example, hudi-blog ).

Data Lake 76

Data Lake Visualization Dashboards Insurance 76

IBM Big Data Hub

JANUARY 9, 2024

Data ingestion must be done properly from the start, as mishandling it can lead to a host of new issues. The groundwork of training data in an AI model is comparable to piloting an airplane. This may also entail working with new data through methods like web scraping or uploading.

Enterprise 86

Enterprise Data Integration Data Quality Contextual Data 86

DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. QuerySurge – Continuously detect data issues in your delivery pipelines.

Testing 307

Testing Machine Learning Consulting Data Quality 307

Ontotext

OCTOBER 28, 2021

Semantic Data Integration With GraphDB. For that purpose, you would require a different tooling and this is where the metaphactory platform comes into play with its intuitive approach for data exploration. This allows us to explore all this information and make analysis comparisons among different entities.

Visualization 52

Visualization Interactive Knowledge Discovery Modeling 52

IBM Big Data Hub

NOVEMBER 14, 2023

Additionally, by managing the data product as an isolated unit it can have location flexibility and portability — private or public cloud — depending on the established sensitivity and privacy controls for the data. Doing so can increase the quality of data integrated into data products.

Strategy 120

Strategy Cost-Benefit Data-driven Measurement 120

Cloudera

SEPTEMBER 27, 2023

Platform security for data in transit The platform uses transport layer security (TLS) and secure socket layer (SSL) protocols to establish a secure communication channel between different components of the platform for better privacy and data integrity. To find your perfect path to 7.1.9,

Data Processing 84

Data Processing Management Measurement Enterprise 84

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. For this, Cargotec built an Amazon Simple Storage Service (Amazon S3) data lake and cataloged the data assets in AWS Glue Data Catalog. The source code for the application is hosted the AWS Glue GitHub.

Metadata 55

Metadata Data Lake Machine Learning Big Data 55

IBM Big Data Hub

DECEMBER 11, 2023

With the advent of enterprise-level cloud computing, organizations could embark on cloud migration journeys and outsource IT storage space and processing power needs to public clouds hosted by third-party cloud service providers like Amazon Web Services (AWS), IBM Cloud, Google Cloud and Microsoft Azure.

Cost-Benefit 119

Cost-Benefit Data Processing Strategy Software 119

Cloudera

APRIL 14, 2021

Refer to the following cloudera blog to understand the full potential of Cloudera Data Engineering. . Precisely Data Integration, Change Data Capture and Data Quality tools support CDP Public Cloud as well as CDP Private Cloud. Why should technology partners care about CDE? References: [link].

Data Warehouse 80

Data Warehouse Data Processing Data Quality Machine Learning 80

Cloudera

AUGUST 28, 2023

Privacy concerns loom large, as many enterprises are cautious about sharing their internal knowledge base with external providers to safeguard data integrity. This delicate balance between outsourcing and data protection remains a pivotal concern. In the next few sections we will go through the main steps in this process.

Enterprise 76

Enterprise Machine Learning Modeling Data Processing 76

Cloudera

SEPTEMBER 7, 2023

Perhaps the biggest challenge of all is that AI solutions—with their complex, opaque models, and their appetite for large, diverse, high-quality datasets—tend to complicate the oversight, management, and assurance processes integral to data management and governance. Find out more about CDP, modern data architectures and AI here.

Insurance 79

Insurance Risk Data-driven Finance 79

IBM Big Data Hub

JANUARY 29, 2024

It takes an organization’s on-premises data into a private cloud infrastructure and then connects it to a public cloud environment, hosted by a public cloud provider. Explore business solutions for digital transformation The post Digital transformation examples appeared first on IBM Blog.

Digital Transformation 80

Digital Transformation Consulting Internet of Things Recreation/Entertainment 80

Andrew White

JANUARY 9, 2022

On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. But I would search on our web site for AI and mid-size enterprise; or ask Anthony Mullen who leads our AI research in our data and analytics team. Can you remind where we can find the mentioned blog?

Analytics 64

Analytics Measurement Modeling Data-driven 64

AWS Big Data

SEPTEMBER 22, 2023

Kafka plays a central role in the Stitch Fix efforts to overhaul its event delivery infrastructure and build a self-service data integration platform. This post includes much more information on business use cases, architecture diagrams, and technical infrastructure.

Management 99

Management Metrics Cost-Benefit Data Lake 99

IBM Big Data Hub

OCTOBER 20, 2023

Will it be implemented on-premises or hosted using a cloud platform? These factors are also important in identifying the AI platform that can be most effectively integrated to align with your business objectives. Store operating platform : Scalable and secure foundation supports AI at the edge and data integration.

Machine Learning 85

Machine Learning Manufacturing Cost-Benefit Deep Learning 85

Alation

OCTOBER 28, 2021

Today, lawmakers impose larger and larger fines on the organizations handling this data that don’t properly protect it. More and more companies are handling such data. No matter where a healthcare organization is located or the services it provides, it will likely host data pursuant to a number of regulatory laws.

Data Governance 52

Data Governance Measurement Modeling Metrics 52

Cloudera

JUNE 6, 2019

The typical Cloudera Enterprise Data Hub Cluster starts with a few dozen nodes in the customer’s datacenter hosting a variety of distributed services. Over time, workloads start processing more data, tenants start onboarding more workloads, and administrators (admins) start onboarding more tenants.

Metadata 86

Metadata Data Lake Optimization Strategy 86

Alation

JANUARY 17, 2023

What if, experts asked, you could load raw data into a warehouse, and then empower people to transform it for their own unique needs? Today, data integration platforms like Rivery do just that. By pushing the T to the last step in the process, such products have revolutionized how data is understood and analyzed.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Business Intelligence 52

AWS Big Data

JULY 20, 2023

The system ingests data from various sources such as cloud resources, cloud activity logs, and API access logs, and processes billions of messages, resulting in terabytes of data daily. This data is sent to Apache Kafka, which is hosted on Amazon Managed Streaming for Apache Kafka (Amazon MSK).

Data Lake 84

Data Lake Analytics Snapshot Optimization 84

datapine

FEBRUARY 22, 2022

IT should be involved to ensure governance, knowledge transfer, data integrity, and the actual implementation. Then for knowledge transfer choose the repository, best suited for your organization, to host this information. Ensure data literacy. Because it is that important.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Data Virtualization

AUGUST 18, 2022

Reading Time: 5 minutes Opening the specific data view within Power BI is as simple as clicking on and opening the downloaded connection file. All the server host, ports, and database connection settings are automatically made for you so you can get on with.

Data Processing 52

Data Processing Data Integration Management Data Science 52

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. Introduction. To learn more about the CDF platform, please visit [link].

Metadata 123

Metadata Cost-Benefit Enterprise Interactive 123