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. The most optimal and streamlined way to achieve this is by using a data catalog, which can provide a first stop for users ahead of working in BI platforms.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

Smart Data Collective

MAY 11, 2023

App analytics provide valuable insights that help identify bottlenecks, improve user experience, and optimize marketing campaigns. By analyzing user data, businesses can make data-driven decisions that lead to a more successful mobile e-commerce strategy.

Cost-Benefit 98

Cost-Benefit Optimization Data-driven Marketing 98

CIO Business Intelligence

MARCH 24, 2023

Programs must support proactive and reactive change management activities for reference data values and the structure/use of master data and metadata. erwin Data Intelligence (DI) for Data Governance erwin DI combines data catalog and data literacy capabilities to provide awareness of and access to available data assets.

Data Governance 142

Data Governance Management Metadata Data Quality 142

erwin

OCTOBER 8, 2020

These tools range from enterprise service bus (ESB) products, data integration tools; extract, transform and load (ETL) tools, procedural code, application program interfaces (APIs), file transfer protocol (FTP) processes, and even business intelligence (BI) reports that further aggregate and transform data.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

AWS Big Data

APRIL 26, 2023

Having an accurate and up-to-date inventory of all technical assets helps an organization ensure it can keep track of all its resources with metadata information such as their assigned oners, last updated date, used by whom, how frequently and more. This is a guest blog post co-written with Corey Johnson from Huron.

Metadata 52

Metadata Dashboards Visualization Consulting 52

CIO Business Intelligence

OCTOBER 13, 2023

They understand data modeling, including conceptualization and database optimization, and demonstrate a commitment to continuing education. According to Dataversity , good data architects have a solid understanding of the cloud, databases, and the applications and programs used by those databases.

Data Architecture 128

Data Architecture Data Warehouse Statistics Visualization 128

Octopai

FEBRUARY 8, 2020

Although it was only one of many Mars mission failures in the history of space travel, it was one that easily could have been prevented by achieving the optimal set of equipment and communication to power space travel. . The solution is a comprehensive automated metadata platform. What Goes into a BI Intelligence Platform? .

Metadata 63

Metadata Key Performance Indicator Unstructured Data Business Intelligence 63

Cloudera

DECEMBER 10, 2020

Recently, cloud-native data warehouses changed the data warehousing and business intelligence landscape. Appealing directly to end-users in the Lines of Business (LOBs), these solutions can dramatically shorten time to value, lower administrative burdens, and promise continuous agility in response to changing business demands.

Data Warehouse 98

Data Warehouse Metadata Cost-Benefit Optimization 98

CIO Business Intelligence

FEBRUARY 14, 2024

Introduce gen AI capabilities without thinking about data hygiene, he warns, and people will be disillusioned when they haven’t done the pre work to get it to perform optimally. At the beginning of 2023, Gartner reported only 15% of organizations already have data storage management solutions that classify and optimize data.

IT 142

IT Metadata Data-driven Management 142

AWS Big Data

MARCH 29, 2024

However, to analyze trends over time, aggregate from different dimensions, and share insights across the organization, a purpose-built business intelligence (BI) tool like Amazon QuickSight may be more effective for your business. Grafana provides powerful customizable dashboards to view pipeline health.

Metrics 104

Metrics Visualization Dashboards Interactive 104

IBM Big Data Hub

APRIL 10, 2023

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

Strategy 94

Strategy Data Architecture Cost-Benefit Reporting 94

IBM Big Data Hub

OCTOBER 16, 2023

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. It also lets you choose the right engine for the right workload at the right cost, potentially reducing your data warehouse costs by optimizing workloads. Capture and document model metadata for report generation.

Risk 77

Risk Modeling Management Metadata 77

IBM Big Data Hub

DECEMBER 16, 2022

It uses metadata and data management tools to organize all data assets within your organization. It synthesizes the information across your data ecosystem—from data lakes, data warehouses, and other data repositories—to empower authorized users to search for and access business-ready data for their projects and initiatives.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

IBM Big Data Hub

JANUARY 5, 2023

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases. Efficiently adopt data platforms and new technologies for effective data management.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

Cloudera

SEPTEMBER 24, 2020

Written in C++, which is very CPU efficient, with a very fast query planner and metadata caching, Impala is optimized for low latency queries. Impala also has a very efficient run-time execution framework, using code generation, process-to-process communication, massive parallelism, and metadata caching.

Data Warehouse 68

Data Warehouse Metadata Interactive Dashboards 68

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

datapine

SEPTEMBER 29, 2022

Therefore, there are several roles that need to be filled, including: DQM Program Manager: The program manager role should be filled by a high-level leader who accepts the responsibility of general oversight for business intelligence initiatives. Metadata management: Good data quality control starts with metadata management.

Data Quality 241

Data Quality Metrics Data-driven Management 241

CIO Business Intelligence

NOVEMBER 22, 2022

The next step in every organization’s data strategy, Guan says, should be investing in and leveraging artificial intelligence and machine learning to unlock more value out of their data. The fabric, especially at the active metadata level, is important, Saibene notes.

Data Strategy 145

Data Strategy Strategy Enterprise Consulting 145

CIO Business Intelligence

DECEMBER 13, 2023

and applying and enriching metadata helps organizations take a big step toward innovating with generative AI. Tapping into unstructured data reservoirs While a growing volume of unstructured data exists in digital form (such as PDFs, JPEGs, MP4s, etc.),

Unstructured Data 95

Unstructured Data IoT Metadata Manufacturing 95

CIO Business Intelligence

DECEMBER 4, 2023

As data skyrockets—especially unstructured data—organizations need an intentional plan and ongoing approach to protect, manage, and optimize data for monetization. Beyond “records,” organizations can digitally capture anything and apply metadata for context and searchability. Iron Mountain Capture/Enrich. Structure/Operationalize.

Unstructured Data 52

Unstructured Data Data Lake Metadata Business Objectives 52

Smart Data Collective

JULY 27, 2021

Once you have accounted for all the CRM’s data, and metadata type, administrators will then need to take a comprehensive snapshot of the account,” added Mercer. There are several different metadata asset types that can end up being left behind because of configuration settings within CRMs,” added Fitzgerald. Visualize the problem.

Big Data 132

Big Data Snapshot IT Dashboards 132

CIO Business Intelligence

JUNE 23, 2022

These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. Cloudera customers run some of the biggest data lakes on earth. The second generation of the Hive Metastore added support for transactional updates with Hive ACID.

Data Lake 85

Data Lake Data Warehouse Machine Learning Cost-Benefit 85

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift delivers on that needed performance through a number of mechanisms such as caching, automated data model optimization, and automated query rewrites. String-optimized compression The Data Vault 2.0 You can use this mechanism to optimize merge operations while still making the data accessible from within Amazon Redshift.

Enterprise 83

Enterprise Data Warehouse Snapshot Cost-Benefit 83

AWS Big Data

MARCH 7, 2023

They should also provide optimal performance with low or no tuning. 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.

Analytics 69

Analytics Data Warehouse Data Lake Metadata 69

Cloudera

JUNE 18, 2022

These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. Cloudera customers run some of the biggest data lakes on earth. The second generation of the Hive Metastore added support for transactional updates with Hive ACID.

Data Lake 90

Data Lake Data Warehouse Machine Learning Cost-Benefit 90

CIO Business Intelligence

SEPTEMBER 18, 2023

The speed at which these networks are operating, and the immense data flows transiting the network, necessitate dynamic tools to automate and streamline migration and optimize day-to-day operations,” says Leigh, research manager of mobility and 5G at IDC. “A

Data mining 98

Data mining Testing Metadata Enterprise 98

AWS Big Data

MARCH 9, 2023

Amazon QuickSight is a fully managed, cloud-native business intelligence (BI) service that makes it easy to connect to your data, create interactive dashboards and reports, and share these with tens of thousands of users, either within QuickSight or embedded in your application or website.

Slice and Dice 77

Slice and Dice Dashboards Analytics Interactive 77

Sisense

FEBRUARY 17, 2020

Before getting started, you’ll need to grant access to the SNOWFLAKE metadata schema where the ACCOUNT_USAGE tables are. Many data analysts and scientists understand that complex logic may take a while to execute against a database, but a business user expects data to be returned extremely quickly.

Dashboards 80

Dashboards Data Warehouse Metadata Business Intelligence 80

CIO Business Intelligence

MARCH 21, 2022

As such, a data scientist must have enough business domain expertise to translate company or departmental goals into data-based deliverables such as prediction engines, pattern detection analysis, optimization algorithms, and the like. It doesn’t conform to a data model but does have associated metadata that can be used to group it.

Unstructured Data 134

Unstructured Data Data Analytics Analytics Structured Data 134

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

Ontotext

FEBRUARY 14, 2024

CEEL is now immediately available as part of our text analysis offerings, coming preconfigured as part of the new version of the Ontotext Metadata Studio (OMDS). In the Business Intelligence sector , it can streamline information extraction from large-scale datasets such as RSS feeds. This approach has certain benefits.

Cost-Benefit 52

Cost-Benefit Modeling Metadata Optimization 52

CIO Business Intelligence

APRIL 29, 2022

In summary, in order to ensure that AI programs are a success from the outset, organisations should take the following data-related steps: Formalise both ‘data-centric AI’ and ‘AI-centric data’ as part of data management strategy with metadata and data fabric as key foundational components.

Data Governance 144

Data Governance IT Risk Data Lake 144

Alation

JUNE 28, 2022

This is where metadata, or the data about data, comes into play. Your metadata management framework provides the underlying structure that makes your data accessible and manageable. What is a Metadata Management Framework? Your framework should include the following: Global metadata: applies to all information.

Metadata 52

Metadata Management Data Governance Machine Learning 52

Jet Global

JULY 2, 2019

With the Microsoft HDInsight platform, open-source frameworks such as Hadoop, Spark, Hive, LLAP, Kafka, Storm, HBase, Microsoft ML Server & more can be applied to your data lakes via preconfigured clusters optimized for different big data scenarios. Data lakes represent a new frontier for businesses. Future-Proofing your Data.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

AWS Big Data

MARCH 10, 2023

One important feature is to run different workloads such as business intelligence (BI), Machine Learning (ML), Data Science and data exploration, and Change Data Capture (CDC) of transactional data, without having to maintain multiple copies of data. The Iceberg table is synced with the AWS Glue Data Catalog.

Data Lake 102

Data Lake Sales Data Warehouse Snapshot 102

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. Where can I save the most by taking advantage of new AWS Glue features? What does my overall usage look like using AWS Glue?

Metrics 86

Metrics Dashboards Metadata Visualization 86

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? Low quality In many scenarios, there is no one responsible for data administration.

Data Governance 52

Data Governance Strategy Data Quality Marketing 52