AWS Big Data

DECEMBER 16, 2024

With the ability to browse metadata, you can understand the structure and schema of the data source, identify relevant tables and fields, and discover useful data assets you may not be aware of. This approach simplifies your data journey and helps you meet your security requirements.

Visualization 71

Visualization Data Processing Testing Publishing 71

TDAN

MARCH 16, 2021

This kind of system of organization paves the way for data teams to respond to your business objectives with accuracy and speed – without it, your analysis will always […]. No matter where data comes from, becoming data-driven depends on every member of your organization being able to find, access, and use the data they need.

Business Objectives 87

Business Objectives Data-driven IT Metadata 87

Smart Data Collective

AUGUST 14, 2022

How Does DLP Help Your Business? Data loss protection comprises three significant business objectives – personal information protection, intellectual property protection, and comprehensive data usage reports. Having any of those boosts your data security.

Risk 139

Risk Cost-Benefit Reporting Software 139

Andrew White

JUNE 11, 2019

Some might conclude this is a new trend; some might look back at the days when SAP acquired Business Objects and IBM acquired Cognos and Oracle acquired Siebel. Metadata Management Tools (split between some IT-centric and some business-centric solutions). I really can’t say one way or the other.

IT 82

IT Data Quality Data Integration Business Objectives 82

AWS Big Data

MAY 24, 2024

If it’s a restart of an existing job, it’s read from last record metadata checkpoint from storage (for this post, DynamoDB) and ignores kinesis.startingPosition. At the end of each task, the corresponding executor process saves the metadata (checkpoint) about the last record read for each shard in the offset storage (for this post, DynamoDB).

Metadata 105

Metadata Interactive Business Objectives Management 105

Alation

AUGUST 26, 2021

It includes intelligence about data, or metadata. The earliest DI use cases leveraged metadata — EG, popularity rankings reflecting the most used data — to surface assets most useful to others. Again, metadata is key. Data Intelligence and Metadata. Data intelligence is fueled by metadata.

Metadata 64

Metadata Data Governance Dashboards Software 64

AWS Big Data

AUGUST 5, 2024

This simplifies the process for data consumers to find datasets, understand their context through shared metadata, and access comprehensive datasets for specific use cases through a single workflow. For example, a marketing analysis data product can bundle various data assets such as marketing campaign data, pipeline data, and customer data.

Metadata 59

Metadata Sales Data Lake Publishing 59

Ontotext

NOVEMBER 22, 2020

The goal is to make it easier to encode the business knowledge of personnel such as business analysts who have the best understanding of the business and the most well-rounded domain knowledge. Semantic Objects and the Semantic Objects Modeling Language (SOML) is a simple way to describe business objects or domain objects.

Metadata 72

Metadata Cost-Benefit Unstructured Data Technology 72

AWS Big Data

JUNE 25, 2024

When you deploy a data stream from Amazon Redshift to Data Cloud, an external data lake object (DLO) is created within the Data Cloud environment. This external DLO acts as a storage container, housing metadata for your federated Redshift data. She is an advocate for diversity and inclusion in the technology field.

Data Lake 111

Data Lake Cost-Benefit Data-driven Data Warehouse 111

CDW Research Hub

JULY 22, 2020

It also ensures that the architecture maintains a low metadata footprint, with no assumption that all metadata always resides in the memory. With the right people and the right partners, Sirius focuses on solutions that will help you manage your operations, optimize your IT, secure it all, and transform your business.

IT 52

IT Metadata Business Objectives Machine Learning 52

AWS Big Data

MARCH 7, 2023

Sources Data can be loaded from multiple sources, such as systems of record, data generated from applications, operational data stores, enterprise-wide reference data and metadata, data from vendors and partners, machine-generated data, social sources, and web sources. Let’s look at the components of the architecture in more detail.

Analytics 78

Analytics Data Warehouse Data Lake Metadata 78

AWS Big Data

SEPTEMBER 12, 2024

The Shared database and Shared database’s owner ID fields are populated manually from the database metadata. He has partnered with Salesforce Data Cloud to align business objectives with innovative AWS solutions to achieve impactful customer experiences. For Shared database’s region , choose the Data Catalog view source Region.

Data Lake 99

Data Lake Analytics Data-driven Data Strategy 99

IBM Big Data Hub

JANUARY 5, 2023

Apply metadata to contextualize existing and new data to make it searchable and discoverable. Critical capabilities of modern high-quality data quality management solutions require an organization to: Enforce data governance across an organization by augmenting manual data quality processes with metadata and AI-related technologies.

Data Architecture 52

Data Architecture Data Quality Strategy Data Lake 52

IBM Big Data Hub

JUNE 30, 2022

There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with business objectives. The rise of data strategy. This requires a deep understanding of the organization’s strengths and weaknesses.

Data Strategy 56

Data Strategy Strategy Business Objectives Data-driven 56

Alation

MARCH 14, 2023

Gartner describes it as ‘ a highly dynamic process employed to support the acquisition, organisation, analysis, and delivery of data in support of business objectives ’. Store Where individual departments have their own databases for metadata management, data will be siloed, meaning it can’t be shared and used business-wide.

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52

Alation

DECEMBER 15, 2021

On the other hand, an offensive data strategy supports business objectives. Integrating customer and market data for planning future business goals. As part of this process, the organization should start by: Inventorying data: Create a complete record of information resources with relevant metadata.

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

Cloudera

JANUARY 5, 2023

As more industries mature digitally and widely adopt AI and machine learning technologies, 2023 will be a pivotal year for organizations looking to deploy emerging tech solutions company-wide to fulfill business objectives. 1- Treating data as a strategic business asset .

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

AWS Big Data

JUNE 13, 2023

Download the SAML metadata file. In the navigation pane under Clients , import the SAML metadata file. Download the Keycloak IdP SAML metadata file from that URL location. For Metadata document , upload the Keycloak IdP SAML metadata XML file you downloaded and saved to your local machine earlier. Choose Browse.

Metadata 52

Metadata Dashboards Business Intelligence Data Lake 52

Ontotext

JULY 12, 2024

The High-Performance Tagging PowerPack bundle The High-Performance Tagging PowerPack is designed to satisfy taxonomy and metadata management needs by allowing enterprise tagging at a scale. The linking of resources and business objects together is much more flexible. Now, let’s see what is included in each of them.

Enterprise 59

Enterprise Cost-Benefit Metadata Data Integration 59

Data Virtualization

SEPTEMBER 12, 2024

Reading Time: 2 minutes In today’s data-driven landscape, the integration of raw source data into usable business objects is a pivotal step in ensuring that organizations can make informed decisions and maximize the value of their data assets. To achieve these goals, a well-structured.

Data Integration 52

Data Integration Business Objectives Data-driven Management 52

Cloudera

APRIL 9, 2019

Transforming Your Business with Multi-cloud and Hybrid Strategies. Your business objectives should drive your cloud strategies. Cloudera’s Enterprise Data Cloud empowers you to meet your present and future business demands. It facilitates hybrid and multi-cloud strategies by delivering.

Strategy 54

Strategy Experimentation Business Objectives Metadata 54

AWS Big Data

MARCH 26, 2024

Profile aggregation – When you’ve uniquely identified a customer, you can build applications in Managed Service for Apache Flink to consolidate all their metadata, from name to interaction history. Alternatively, you can build identity graphs using Amazon Neptune for a single unified view of your customers.

Data Strategy 78

Data Strategy Strategy Data Warehouse Prescriptive Analytics 78

Wayne Yaddow

FEBRUARY 18, 2025

While transformations edit or restructure data to meet business objectives (such as aggregating sales data, enhancing customer information, or standardizing addresses), conversions typically deal with changing data formats, such as from CSV to JSON or string to integertypes.

Testing 52

Testing Data Transformation Data-driven Data Quality 52

Ontotext

FEBRUARY 12, 2024

This is especially beneficial when teams need to increase data product velocity with trust and data quality, reduce communication costs, and help data solutions align with business objectives. Data mesh, with its domain-centric approach, simplifies the flow and management of data in support of business objectives and outcomes.

Data-driven 59

Data-driven Data Lake Data Quality Business Objectives 59

Jet Global

JANUARY 26, 2021

One very significant aspect of Business Central’s off-the-shelf reporting queries is that they only provide visibility into standard business objects that exist within Microsoft D365 BC. Unfortunately, though, there are limits to Microsoft’s out-of-the-box queries.

Reporting 98

Reporting Finance Data-driven Visualization 98

CIO Business Intelligence

DECEMBER 4, 2023

A modern ILM approach helps CIOs and their teams align processes to business objectives and regulatory requirements. Beyond “records,” organizations can digitally capture anything and apply metadata for context and searchability. Here is a high-level overview of the ILM steps and structure. Iron Mountain Capture/Enrich.

Unstructured Data 52

Unstructured Data Data Lake Business Objectives Metadata 52

Paul Blogs on BI

SEPTEMBER 8, 2022

Every table has its own folder in PBI and they are just organized in alphabetical order making it impossible to build understandable models to report writers as the number of tables and objects increases. In a BusinessObjects universe there is just metadata. BusinessObjects is designed to work at the database level using native SQL.

Metadata 52

Metadata Reporting Modeling Business Objectives 52

AWS Big Data

AUGUST 6, 2024

In parallel, the Pinot controller tracks the metadata of the cluster and performs actions required to keep the cluster in an ideal state. He primarily partners with airlines, manufacturers, and retail organizations to support them to achieve their business objectives with well-architected data platforms.

OLAP 93

OLAP Analytics Visualization Dashboards 93

Alation

FEBRUARY 10, 2022

With data classification, metadata tags are used to: Protect sensitive data. Define Business Objectives. The first step to any process is understanding your business goals. You might have more than one end business goal which will inform how you set out your process. Classifying data should have a purpose.

Data Governance 52

Data Governance Risk Insurance Business Objectives 52

IBM Big Data Hub

MARCH 29, 2024

Benefits of OpenTelemetry The OpenTelemetry protocol (OTLP) simplifies observability by collecting telemetry data, like metrics, logs and traces, without changing code or metadata. Metrics: Metrics define a high-level overview of system performance and health.

Metrics 75

Metrics Visualization Measurement Optimization 75

Ontotext

MAY 16, 2024

This includes working with subject matter experts to prioritize business objectives and build use case relationships. Hence it is advisable for enterprises to leverage semantic metadata as the core for facilitating data connections.

Enterprise 52

Enterprise Data-driven Cost-Benefit Business Objectives 52

Rita Sallam

JULY 22, 2016

Like when Oracle acquired Hyperion in March of 2007, which set of a series of acquisitions –SAP of Business Objects October, 2007 and then IBM of Cognos in November, 2007. Reeboks made it possible for aerobics classes to become main stream beyond its dancer beginnings. In BI we have had our seminal moments too.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

Cloudera

JANUARY 22, 2019

An organization needs a unified data management and analytics platform that can support its business objectives. Source: Cloudera. High-value Analytics. Enterprises seek high-value, agile analytics. Enterprises are looking for greater agility to detect change and respond proactively.

Big Data 44

Big Data Data Lake Internet of Things Enterprise 44

Alation

MAY 12, 2022

Data defense minimizes risk while data offense ensures data is used to support business objectives. It combines metadata with data management and search tools so your workers can quickly find the data that they need, evaluate its fitness for intended use, and access those who can answer questions. Utilize a data catalog.

Manufacturing 52

Manufacturing Data Governance Cost-Benefit IoT 52

O'Reilly on Data

JULY 28, 2020

Internally, AI PMs must engage stakeholders to ensure alignment with the most important decision-makers and top-line business metrics. Put simply, no AI product will be successful if it never launches, and no AI product will launch unless the project is sponsored, funded, and connected to important business objectives.

Marketing 364

Marketing Experimentation Metrics Testing 364

AWS Big Data

MARCH 13, 2025

StarTree supports a large number of managed connectors, which are used to maintain metadata about the source and ingest data seamlessly into the platform. He primarily partners with airlines, manufacturers, and retail organizations to support them to achieve their business objectives with well-architected data platforms.

Management 91

Management Analytics OLAP Online Analytical Processing 91

AWS Big Data

OCTOBER 24, 2024

This will import the metadata of the datasets and run default data discovery. Industry use cases The following are example industry use cases where Immuta and Amazon Redshift integration adds value to customer business objectives. Choose Edit under Schema/Table section. Select pschema from the list of schemas displayed.

Data Warehouse 98

Data Warehouse Business Objectives Data-driven Management 98