AWS Big Data

MARCH 7, 2023

A data hub contains data at multiple levels of granularity and is often not integrated. It differs from a data lake by offering data that is pre-validated and standardized, allowing for simpler consumption by users. Data hubs and data lakes can coexist in an organization, complementing each other.

Analytics 72

Analytics Data Warehouse Data Lake Metadata 72

Ontotext

MAY 2, 2024

Storage-centric approach In the storage-centric approach, people try to address data silos by throwing everything in a data lake or a data warehouse. But, although, this helps somewhat in terms of architecture, soon these data lakes become unwieldy.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

Jet Global

OCTOBER 7, 2020

For anyone that needs to develop custom reports and dashboards, it all begins with understanding data entities. What Are Data Entities? There are five categories of data entities based on their functions and the type of data that they serve: Parameter (e.g., Document (e.g., General Ledger). Reference (e.g.,

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 84

Enterprise Data Warehouse Snapshot Cost-Benefit 84

Alation

FEBRUARY 20, 2020

Imagine if you had an app on your computer which made you type a Unix file path when you wanted to open a document. Today the MicroStrategy team announced the next step in their relationship with Alation, the embedding of Alation Data Explorer in MicroStrategy 10. MicroStrategy dashboard integrated with Alation.

Reporting 52

Reporting Dashboards Data Governance Visualization 52

FineReport

APRIL 11, 2023

With the advent of Business Intelligence Dashboard (BI Dashboard), access to information is no longer limited to IT departments. Every user can now create interactive reports and utilize data visualization to disseminate knowledge to both internal and external stakeholders.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 40

datapine

APRIL 15, 2020

It’s necessary to say that these processes are recurrent and require continuous evolution of reports, online data visualization , dashboards, and new functionalities to adapt current processes and develop new ones. Working software over comprehensive documentation. Discover the available data sources.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

Paul Blogs on BI

MAY 13, 2024

One such feature that has recently stood out for me is “Web Intelligence as a data source”. allows you to create a master Webi document and then place a universe on top of this document to enable users to create child reports, dashboards and extracts from this one master document.

Data Warehouse 52

Data Warehouse Data Lake Reporting Dashboards 52

Cloudera

NOVEMBER 18, 2021

By adopting a custom developed application based on the Cloudera ecosystem, Carrefour has combined the legacy systems into one platform which provides access to customer data in a single data lake. EVA unifies data from MTN’s different operator systems, creating a 360° view of subscribers.

Data Lake 77

Data Lake Cost-Benefit Digital Transformation Risk 77

AWS Big Data

AUGUST 2, 2023

The data architecture diagram below shows an example of how you could use AWS services to calculate and visualize an organization’s estimated carbon footprint. Customers have the flexibility to choose the services in each stage of the data pipeline based on their use case.

Data Lake 72

Data Lake Measurement Visualization Data Architecture 72

AWS Big Data

AUGUST 28, 2023

OpenSearch Ingestion reads Parquet formatted security data from the Security Lake managed Amazon S3 bucket and transforms the security logs into JSON documents. OpenSearch Ingestion ingests this OCSF compliant data into OpenSearch Service. For more information, refer to Lifecycle management in Security Lake.

Dashboards 52

Dashboards Visualization Metadata Management 52

AWS Big Data

JUNE 19, 2023

Security Lake automatically centralizes security data from cloud, on-premises, and custom sources into a purpose-built data lake stored in your account. With Security Lake, you can get a more complete understanding of your security data across your entire organization. Choose Import.

Publishing 85

Publishing Dashboards Visualization Management 85

CIO Business Intelligence

FEBRUARY 22, 2024

Ultimately, CIOs may increasingly be held accountable for the veracity of the reporting, the third-party assurance of the data, and ensuring their organizations’ compliant disclosures align with their corporate ESG goals.” Everyone from Salesforce to SAP to Oracle has some ESG functionality.

Software 90

Software Reporting KPI Enterprise 90

AWS Big Data

JUNE 13, 2023

Sign in to your Keycloak admin dashboard. For the Keycloak admin dashboard, use [link]. For Metadata document , upload the Keycloak IdP SAML metadata XML file you downloaded and saved to your local machine earlier. Vamsi Bhadriraju is a Data Architect at AWS. Assign a name for this new realm. Choose Add provider.

Metadata 52

Metadata Dashboards Business Intelligence Management 52

Cloudera

JANUARY 21, 2021

Storing data in a proprietary, single-workload solution also recreates dangerous data silos all over again, as it locks out other types of workloads over the same shared data. The Data Lake service in Cloudera’s Data Platform provides a central place to understand, manage, secure, and govern data assets across the enterprise.

Data Lake 94

Data Lake Data Warehouse IT Analytics 94

AWS Big Data

JUNE 6, 2023

You can use AWS Glue to create, run, and monitor data integration and ETL (extract, transform, and load) pipelines and catalog your assets across multiple data stores. Hundreds of thousands of customers use data lakes for analytics and ML to make data-driven business decisions. Choose the Data quality tab.

Data Quality 75

Data Quality Data Lake Data-driven Metrics 75

AWS Big Data

MARCH 3, 2023

Initially, Tricentis defines these dashboards and charts to enable insight on test runs, test traceability with requirements, and many other pre-defined use cases that can be valuable to customers. As the files are created, another process is triggered to load the data from each customer on their schema or table on Amazon Redshift.

Software 52

Software Data Lake Testing Cost-Benefit 52

Sisense

JULY 22, 2020

The trend has been towards using cloud-based applications and tools for different functions, such as Salesforce for sales, Marketo for marketing automation, and large-scale data storage like AWS or data lakes such as Amazon S3 , Hadoop and Microsoft Azure. Sisense provides instant access to your cloud data warehouses.

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

Jet Global

OCTOBER 22, 2020

Power BI provides users with some very nice dashboarding and reporting capabilities. As a security measure, Microsoft is closing off direct database access to live Microsoft Dynamics ERP data. This leads to the second option, which is a data warehouse. Information gets lost. That means tabular models need to be revisited.

Modeling 52

Modeling OLAP Reporting Sales 52

IBM Big Data Hub

MAY 9, 2023

is not just for data scientists and developers — business users can also access it via an easy-to-use interface that responds to natural language prompts for different tasks. A data store built on open lakehouse architecture, it runs both on premises and across multi-cloud environments. Watsonx.ai Depending on the task, watsonx.ai

Data Warehouse 106

Data Warehouse Machine Learning Cost-Benefit Metadata 106

Cloudera

OCTOBER 25, 2022

The data lakehouse is gaining in popularity because it enables a single platform for all your enterprise data with the flexibility to run any analytic and machine learning (ML) use case. Cloud data lakehouses provide significant scaling, agility, and cost advantages compared to cloud data lakes and cloud data warehouses.

Data Processing 52

Data Processing Data Lake Cost-Benefit Risk 52

Alation

JUNE 9, 2021

We have an explosion, not only in the raw amount of data, but in the types of database systems for storing it ( db-engines.com ranks over 340) and architectures for managing it (from operational datastores to data lakes to cloud data warehouses). Understanding data refers to learning more about the data asset (e.g.,

Data Governance 59

Data Governance Data-driven Machine Learning Data Lake 59

Alation

MARCH 21, 2023

Having been in business for over 50 years, ARC had accumulated a massive amount of data that was stored in siloed, on-premises servers across its 7 business domains. Using Alation, ARC automated the data curation and cataloging process. “So

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Alation

SEPTEMBER 23, 2021

Active Governance – Active data governance creates usage-based assignments, which prioritize and delegate curation duties. It also allows for deeper analytics and visibility into people, data, and documentation. Active governance should include a stewardship dashboard, designed to make stewardship fast and easy.

Enterprise 52

Enterprise Metadata Data Governance Visualization 52

Domino Data Lab

JUNE 15, 2021

At a certain point, as the demand keeps growing, the data volumes rapidly increase. Data is no longer stored in CSV files, but in a dedicated, purpose built data lake / data warehouse. The challenges surface once the company hits the scalability wall.

Modeling 69

Modeling Data Science Data-driven Data Warehouse 69

datapine

AUGUST 29, 2022

And with that understanding, you’ll be able to tap into the potential of data analysis to create strategic advantages, exploit your metrics to shape them into stunning business dashboards , and identify new opportunities or at least participate in the process. Your Chance: Want to put your big data knowledge to use?

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Andrew White

MARCH 22, 2019

This ties into the failure of data governance and MDM (see first item in this list). A data hub strategy should be economical, not perfected; and a data hub does not collect data like a data warehouses or data lake does – they are very different things. Age maybe against us.

Analytics 68

Analytics Metadata Data Governance Management 68

Jet Global

FEBRUARY 23, 2024

Focusing on objectives such as data integration, data migration, and data quality improvement creates the framework to consolidate data from various sources, ensures data integrity, and aids in identifying and rectifying errors, inconsistencies, or duplicates during the process.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Jet Global

SEPTEMBER 19, 2023

What are the best practices for analyzing cloud ERP data? Data Management How do we create a data warehouse or data lake in the cloud using our cloud ERP? How do I access the legacy data from my previous ERP? Self-service BI How can we rapidly build BI reports on cloud ERP data without any help from IT?

Cost-Benefit 52

Cost-Benefit Data Warehouse Reporting Enterprise 52