CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. The program must introduce and support standardization of enterprise data.

Data Governance 142

Data Governance Management Metadata Data Quality 142

erwin

JUNE 26, 2020

Organizations with particularly deep data stores might need a data catalog with advanced capabilities, such as automated metadata harvesting to speed up the data preparation process. Three Types of Metadata in a Data Catalog. The metadata provides information about the asset that makes it easier to locate, understand and evaluate.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

AWS Big Data

AUGUST 15, 2023

Some examples include AWS data analytics services such as AWS Glue for data integration, Amazon QuickSight for business intelligence (BI), as well as third-party software and services from AWS Marketplace. For complete steps, refer to Creating a VPC for a data source connector. To create the bucket, refer to Create buckets.

Recreation/Entertainment 90

Recreation/Entertainment Unstructured Data Business Intelligence Data-driven 90

CIO Business Intelligence

OCTOBER 13, 2023

Data architect responsibilities According to Panoply , typical data architect responsibilities include: Translating business requirements into technical specifications, including data streams, integrations, transformations, databases, and data warehouses Defining the data architecture framework, standards, and principles, including modeling, metadata, (..)

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

datapine

SEPTEMBER 29, 2022

Data quality refers to the assessment of the information you have, relative to its purpose and its ability to serve that purpose. While the digital age has been successful in prompting innovation far and wide, it has also facilitated what is referred to as the “data crisis” – low-quality data. 2 – Data profiling.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Octopai

JANUARY 19, 2020

You can see why it’s referred to by number and not by the title.) Metadata Management is the Key to Successful Data Governance Learn more in the webinar, "Metadata Management Automation for the Governance Minded" Watch the Webinar! BCBS 239 and Automated Metadata Management Tools.

Metadata 61

Metadata Risk Management Business Intelligence Data Governance 61

AWS Big Data

MARCH 7, 2023

Analytics reference architecture for gaming organizations In this section, we discuss how gaming organizations can use a data hub architecture to address the analytical needs of an enterprise, which requires the same data at multiple levels of granularity and different formats, and is standardized for faster consumption.

Analytics 73

Analytics Data Warehouse Data Lake Metadata 73

CIO Business Intelligence

MAY 10, 2023

This was on display during the initial test releases of Google Bard, where it provided a factually inaccurate answer on the James Webb Space Telescope based on reference data it ingested. The first step in this process is to ensure the right technical and business metadata is in place.

Metadata 98

Metadata Data Governance Modeling Technology 98

erwin

JANUARY 24, 2019

Often these enterprises are heavily regulated, so they need a well-defined data integration model that helps avoid data discrepancies and removes barriers to enterprise business intelligence and other meaningful use. Governing metadata. Data lineage, impact analysis and business rules repositories.

Data Governance 71

Data Governance Metadata Data-driven Cost-Benefit 71

Octopai

SEPTEMBER 21, 2020

A crucial part of every company’s business intelligence (BI) is its data dictionary. When you have a well-structured data dictionary, you provide BI teams with an easy way to track and manage metadata throughout the entire enterprise. You may have some reference tables, spreadsheets, or data dictionary tools already in use.

Metadata 52

Metadata Enterprise Structured Data Business Intelligence 52

IBM Big Data Hub

OCTOBER 16, 2023

AI governance refers to the practice of directing, managing and monitoring an organization’s AI activities. It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. Capture and document model metadata for report generation. Increase trust in AI outcomes.

Risk 74

Risk Modeling Management Metadata 74

Alation

DECEMBER 21, 2022

A data catalog is a metadata repository of information sources across the enterprise, including data sets, business intelligence reports, visualizations, and conversations. Key business people (domain owners) and application subject matter experts. Attribute classification as Master, Transactional, or Reference data.

Management 52

Management Data Quality Metadata Testing 52

CIO Business Intelligence

JULY 8, 2022

The eight questions are drawn from topics such as ADM phases, adapting the ADM, architecture content framework, TOGAF reference models, and the architecture capability framework. . The Open Group also offers TOGAF Role-Based Badges designed for IT professionals seeking to demonstrate enterprise architecture knowledge and skills.

Risk Management 105

Risk Management Risk Enterprise Metadata 105

AWS Big Data

NOVEMBER 29, 2023

The Eightfold Talent Intelligence Platform integrates with Amazon Redshift metadata security to implement visibility of data catalog listing of names of databases, schemas, tables, views, stored procedures, and functions in Amazon Redshift. This post discusses restricting listing of data catalog metadata as per the granted permissions.

Metadata 104

Metadata Data Warehouse Analytics Data Analytics 104

Cloudera

AUGUST 31, 2021

Today, modern data warehousing has evolved to meet the intensive demands of the newest analytics required for a business to be data driven. It has a consistent framework that secures and provides governance for all data and metadata on private clouds, multiple public clouds, or hybrid clouds. All rights reserved.

Data Warehouse 80

Data Warehouse Cost-Benefit Metadata Data-driven 80

AWS Big Data

SEPTEMBER 25, 2023

Marketing data mart – This has predictable extract, transform, and load (ETL) and business intelligence (BI) workloads at specific times of day. For additional information, refer to Implementing automatic WLM. For additional information, refer to Tutorial: Configuring manual workload management (WLM) queues.

Management 98

Management Data Warehouse Metrics Dashboards 98

AWS Big Data

JULY 14, 2023

To collect that information, Bob gets in touch with the head of each department, who in turn refer him to their development leads, who in turn give him a bunch of technical documents that explain how APIs are being used. For instructions on building a serverless web application, refer to the following tutorial. company_name: String!

Modeling 72

Modeling Visualization Reporting Measurement 72

Ontotext

JULY 6, 2023

This shift of both a technical and an outcome mindset allows them to establish a centralized metadata hub for their data assets and effortlessly access information from diverse systems that previously had limited interaction. internal metadata, industry ontologies, etc.) The solution brings many business benefits.

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

AWS Big Data

NOVEMBER 16, 2023

Data Vault overview For a brief review of the core Data Vault premise and concepts, refer to the first post in this series. For more information, refer to Amazon Redshift database encryption. Chargeback metadata Amazon Redshift provides different pricing models to cater to different customer needs. model in Amazon Redshift.

Enterprise 86

Enterprise Data Warehouse Snapshot Cost-Benefit 86

AWS Big Data

OCTOBER 11, 2023

Datasets used for generating insights are curated using materialized views inside the database and published for business intelligence (BI) reporting. The second streaming data source constitutes metadata information about the call center organization and agents that gets refreshed throughout the day.

Management 108

Management Metadata Analytics Dashboards 108

AWS Big Data

MAY 7, 2024

Figure 1: Flow of actions for self-service analytics around data assets stored in relational databases First, the data producer needs to capture and catalog the technical metadata of the data asset. Second, the data producer needs to consolidate the data asset’s metadata in the business catalog and enrich it with business metadata.

Metadata 77

Metadata Data Lake Data Processing Data-driven 77

Alation

JANUARY 26, 2023

A field might not be entered in the same way across different departments, which makes the data difficult to find and affects the accuracy of business intelligence (BI). Do they have a system to manage the metadata for given assets? This essential data is referred to as critical data elements (CDEs).

Data Governance 52

Data Governance Strategy Data Quality Marketing 52

AWS Big Data

NOVEMBER 3, 2023

AWS offers services such as Amazon QuickSight, a serverless business intelligence (BI) service that lets you centralize this view and even ask natural language questions of your data, using Amazon QuickSight Q. Refer to Managing user access inside Amazon QuickSight to find your existing QuickSight users. Let’s dive in!

Metrics 90

Metrics Dashboards Metadata Visualization 90

Domino Data Lab

APRIL 3, 2019

That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. Note that data warehouse (DW) and business intelligence (BI) practices both emerged circa 1990. Allows metadata repositories to share and exchange.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

AWS Big Data

AUGUST 31, 2023

Amazon Redshift is a fast, fully managed petabyte-scale cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. Iceberg stores the metadata pointer for all the metadata files.

Data Lake 96

Data Lake Data Warehouse Metadata Data Architecture 96

TDAN

JUNE 18, 2019

I refer to the row labels as the Levels or perspectives of the organization and the column labels as the Core Components of a […]. Part one of this series addressed the structure of the Non-Invasive Data Governance Framework. In part two, I detail each of the labels on the rows and columns of the framework.

Data Governance 45

Data Governance Metadata Data Strategy Business Intelligence 45

Peter James Thomas

AUGUST 18, 2018

Convergent Evolution refers to something else. Next, rather than just being the province of Data Scientists, there were moves to use Data Lakes to support general Data Discovery and even business Reporting and Analytics as well. This required additional investments in metadata. So far so simple.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

AWS Big Data

JUNE 13, 2023

Amazon QuickSight is a scalable, serverless, embeddable, machine learning (ML) powered business intelligence (BI) service built for the cloud that supports identity federation in both Standard and Enterprise editions. For instructions on installing Keycloak, refer to Keycloak Downloads. Download the SAML metadata file.

Metadata 52

Metadata Dashboards Business Intelligence Management 52

DataKitchen

SEPTEMBER 21, 2023

Data in Place refers to the organized structuring and storage of data within a specific storage medium, be it a database, bucket store, files, or other storage platforms. ” For example, these tools may offer metadata-based notifications. What is Data in Place? What is Data in Use?

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

IBM Big Data Hub

JANUARY 17, 2023

At the core of a data lakehouse architecture includes the storage, metadata service and the query engine, and typically a data governance component made up of a policy engine and a data dictionary. Furthermore, metadata defining the table format may also be stored with the file. A word on managed services.

Data Lake 52

Data Lake Metadata Data Warehouse Data Governance 52

Peter James Thomas

AUGUST 29, 2018

I have since run and driven transformation in Reference Data, Master Data , KYC [3] , Customer Data, Data Warehousing and more recently Data Lakes and Analytics , constantly building experience and capability in the Data Governance , Quality and data services domains, both inside banks, as a consultant and as a vendor. Know your customer. [4].

Data-driven 61

Data-driven Cost-Benefit Metadata Technology 61

FineReport

FEBRUARY 5, 2020

Nowadays, the business intelligence market is heating up. Both the investment community and the IT circle are paying close attention to big data and business intelligence. On the other hand, BI systems have gradually become the support of business management decisions and play an increasing role. of BI pages.

Metadata 98

Metadata Dashboards Informatics Visualization 98

AWS Big Data

SEPTEMBER 7, 2023

They store attributes such as object size, total time, turn-around time, and HTTP referer for log records. AWS Glue Data Catalog stores information as metadata tables, where each table specifies a single data store. Running the crawler on a schedule updates AWS Glue Data Catalog with new partitions and metadata.

Metadata 102

Metadata Dashboards Metrics Visualization 102

IBM Big Data Hub

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. The more complete, accurate and consistent a dataset is, the more informed business intelligence and business processes become. In short, yes.

Data Quality 66

Data Quality Data Integration Metadata Cost-Benefit 66

AWS Big Data

JANUARY 22, 2024

The majority of data produced by these accounts is used downstream for business intelligence (BI) purposes and in Amazon Athena , by hundreds of business users every day. Data as a product Treating data as a product entails three key components: the data itself, the metadata, and the associated code and infrastructure.

Data-driven 88

Data-driven Advertising Metadata Data Architecture 88

DataKitchen

OCTOBER 11, 2021

These tests rely upon historical values as a reference to determine whether data values are reasonable (or within the range of reasonable). . Monitoring Job Metadata. Figure 7 shows how the DataKitchen DataOps Platform helps to keep track of all the instances of a job being submitted and its metadata. Priyanjna Sharma.

Testing 152

Testing Metadata Dashboards Statistics 152

Alation

MAY 24, 2022

Additionally, a set of key features will accelerate data governance and simplify the security of sensitive metadata. Alation empowers customers to seamlessly connect and plug in data quality tools of choice: to become the single system of reference for data. Enhanced business glossary. In the latest release of Alation, 2022.2,

Data Quality 98

Data Quality Data Governance Metadata Metrics 98