AWS Big Data

MARCH 29, 2024

Grafana provides powerful customizable dashboards to view pipeline health. QuickSight makes it straightforward for business users to visualize data in interactive dashboards and reports. An AWS Glue crawler scans data on the S3 bucket and populates table metadata on the AWS Glue Data Catalog.

Metrics 103

Metrics Visualization Dashboards Interactive 103

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

AWS Big Data

DECEMBER 5, 2023

HR&A has used Amazon Redshift Serverless and CARTO to process survey findings more efficiently and create custom interactive dashboards to facilitate understanding of the results. For the files with unknown structures, AWS Glue crawlers are used to extract metadata and create table definitions in the Data Catalog.

Measurement 80

Measurement Dashboards Data Warehouse Analytics 80

AWS Big Data

FEBRUARY 27, 2024

Migration of metadata such as security roles and dashboard objects will be covered in another subsequent post. For index , you can leave it as default, which will get the metadata from the source index and write to the same name in the destination as of the sources.

Metadata 93

Metadata Data Processing Dashboards IoT 93

AWS Big Data

OCTOBER 3, 2023

Amazon S3 allows you to access diverse data sets, build business intelligence dashboards, and accelerate the consumption of data by adopting a modern data architecture or data mesh pattern on Amazon Web Services (AWS). In this method, the metadata are recreated in an isolated environment and colocated with the existing data files.

Data Lake 100

Data Lake Metadata Snapshot Recreation/Entertainment 100

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. SDK Feature overview The QuickSight SDK v2.0

Slice and Dice 78

Slice and Dice Dashboards Analytics Interactive 78

Ontotext

MAY 2, 2024

Data-centric approach In the data-centric approach, metadata serves as a layer of interoperability between the data sources. This powers numerous applications, insight generations, dashboards, and tools. Here we talk about metadata management, catalog of catalogs, and so on.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

AWS Big Data

NOVEMBER 17, 2023

These include internet-scale web and mobile applications, low-latency metadata stores, high-traffic retail websites, Internet of Things (IoT) and time series data, online gaming, and more. Table metadata, such as column names and data types, is stored using the AWS Glue Data Catalog. You don’t need to write any code. Choose Next.

Visualization 81

Visualization Metadata Testing Internet of Things 81

IBM Big Data Hub

OCTOBER 4, 2022

This includes capturing of the metadata, tracking provenance and documenting the model lifecycle. This includes repeatability and the ability to capture of model development time, metadata, post-deployment model monitoring, and to customize workflows. Where do you go from here? Register for AI Governance webinar.

Metadata 102

Metadata Risk Risk Management Experimentation 102

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 131

Big Data Snapshot IT Dashboards 131

AWS Big Data

MARCH 7, 2024

This zero-ETL integration is configurable within OpenSearch Service, where you can take advantage of various log type templates, including predefined dashboards, and configure data accelerations tailored to that log type. After you set up your tables, you can query your data in your S3 data lake through OpenSearch Dashboards.

Data Lake 111

Data Lake Analytics Dashboards Metrics 111

AWS Big Data

MARCH 2, 2023

Apache Iceberg is an open table format for very large analytic datasets, which captures metadata information on the state of datasets as they evolve and change over time. Apache Iceberg addresses customer needs by capturing rich metadata information about the dataset at the time the individual data files are created.

Data Lake 116

Data Lake Data Processing Metadata Snapshot 116

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 automates capturing model metadata and increases predictive accuracy to identify how AI tools are used and where model training needs to be done again. Capture and document model metadata for report generation.

Risk 77

Risk Modeling Management Metadata 77

IBM Big Data Hub

MAY 9, 2023

The resulting automation drives scalability and accountability by capturing model development time and metadata, offering post-deployment model monitoring, and allowing for customized workflows. Users can manage models through dynamic dashboards that track compliance status across defined policies and regulations.

Metadata 78

Metadata Risk Experimentation Dashboards 78

datapine

SEPTEMBER 29, 2022

As quality issues are often highlighted with the use of dashboard software , the change manager plays an important role in the visualization of data quality. It involves: Reviewing data in detail Comparing and contrasting the data to its own metadata Running statistical models Data quality reports. 2 – Data profiling.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Octopai

JANUARY 8, 2020

Octopai’s metadata discovery and management suite provides visualization tools that empower you to see and report everything about sensitive customer data. Octopai's Automated Metadata Management Platform can make CCPA compliance a breeze. Keeping the Lights On with Automated Metadata Management. Not Yet CCPA Compliant?

Metadata 54

Metadata Key Performance Indicator OLAP Forecasting 54

Octopai

MAY 31, 2022

On the occasions when a report or dashboard error does show up, it doesn’t take long to do some BI root cause analysis and track down the source of the error using a data lineage visualization. Bonus tool: active metadata management. An active metadata management tool adds a maître d’ to self-serve analytics.

Management 52

Management Metadata Business Intelligence ROI 52

Smart Data Collective

APRIL 14, 2021

Business intelligence tools can include data warehousing, data visualizations, dashboards, and reporting. It comes with embedded dashboards privately and publicly. The best part about Tableau is the easy-to-use drag-and-drop user interface that makes it easy to create in-depth analysis and dashboards.

Business Intelligence 133

Business Intelligence Dashboards Visualization Big Data 133

erwin

FEBRUARY 28, 2024

Technology is an enabler, and for data governance this is essentially having an excellent metadata management tool. There’s a multitude of capabilities that come to play in terms of evaluating metadata management tools, which would be more than we could cover here, but I will focus on two major areas: the business glossary and data lineage.

Metadata 52

Metadata Data Governance Data Quality Technology 52

DataKitchen

JANUARY 5, 2021

Data Governance/Catalog (Metadata management) Workflow – Alation, Collibra, Wikis. Dashboards show the status of tests across the data pipeline. . Data Science Workflow – Kubeflow, Python, R. Data Engineering Workflow – Airflow, ETL. Data Visualization, Preparation – Self-service tools sucha as Tableau, Alteryx.

Testing 147

Testing Data Governance Metadata Visualization 147

Alation

JULY 26, 2022

Support for Power BI on Azure and catalogs: workflow, apps, reports, dashboards, tiles, datasets, dataset fields. Full lineage support for Power BI objects (datasets, reports, tiles, dashboards). With the previous PBIX file-based implementation, there was both a lack of clarity and limit on which metadata is available.

Dashboards 52

Dashboards Metadata Data-driven Business Intelligence 52

AWS Big Data

NOVEMBER 3, 2023

You have metrics available per job run within the AWS Glue console, but they don’t cover all available AWS Glue job metrics, and the visuals aren’t as interactive compared to the QuickSight dashboard. In the following sections, we show you how to set up the solution, explore the dashboards, and configure alarms.

Metrics 85

Metrics Dashboards Metadata Visualization 85

AWS Big Data

NOVEMBER 29, 2023

Customers can also implement their own custom dashboards in QuickSight. 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.

Metadata 102

Metadata Data Warehouse Analytics Data Analytics 102

Alation

FEBRUARY 20, 2020

The calculations that describe the state of the business already exist — in hundreds of dashboards and thousands of reports. Catalog pages not only include a description of the data origins of the report, dashboard or data set, but also the top users, popularity and social upvotes or downvotes provided by colleagues.

Metadata 52

Metadata Analytics Dashboards Sales 52

Octopai

MAY 5, 2020

They collected insights from 293 business and IT professionals across a wide range of industries, shining light on why automation metadata operations and the business glossary are priorities for organizations today. Another BI challenge comes from everyday metadata management operations. Manual Processes Frustrate BI Professionals.

Metadata 52

Metadata Reporting Data Warehouse Management 52

AWS Big Data

JULY 27, 2023

As shown in the following reference architecture, DynamoDB table data changes are streamed into Amazon Redshift through Kinesis Data Streams and Amazon Redshift streaming ingestion for near-real-time analytics dashboard visualization using Amazon QuickSight. Prerequisites You must have the following: An AWS account.

Data Warehouse 82

Data Warehouse Analytics Metadata Dashboards 82

IBM Big Data Hub

DECEMBER 16, 2022

It uses metadata and data management tools to organize all data assets within your organization. She can search structured or unstructured data, visualizations and dashboards, machine learning models, and database connections. Technical metadata to describe schemas, indexes and other database objects.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

AWS Big Data

APRIL 25, 2024

For more information, see Monitoring dashboards and alarms on Amazon MWAA. Otherwise, it will check the metadata database for the value and return that instead. Create an Airflow connection through the metadata database You can also create connections in the UI. If the alternate backend contains the needed value, it is returned.

Metadata 95

Metadata Data Processing Management Testing 95

Alation

FEBRUARY 18, 2021

Depth comes in many forms, but much of it is powered by three forms of metadata: technical, behavioral, and provenance. Technical metadata tells you a lot about the data, including the names of columns and tables and what schema they are a part of. And they’re doing it at scale.

Metadata 52

Metadata Dashboards Data Governance Marketing 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 70

Analytics Data Warehouse Data Lake Metadata 70

Ontotext

SEPTEMBER 15, 2020

This means the creation of reusable data services, machine-readable semantic metadata and APIs that ensure the integration and orchestration of data across the organization and with third-party external data. This means having the ability to define and relate all types of metadata.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

DataKitchen

AUGUST 9, 2021

In essence, a domain is an integrated data set and a set of views, reports, dashboards, and artifacts created from the data. The domain requires a team that creates/updates/runs the domain, and we can’t forget metadata: catalogs, lineage, test results, processing history, etc., ….

Testing 246

Testing Data Lake Metadata Publishing 246

Cloudera

MARCH 22, 2023

While a business analyst may wonder why the values in their customer satisfaction dashboard have not changed since yesterday, a DBA may want to know why one of today’s queries took so long, and a system administrator needs to find out why data storage is skewed to a few nodes in the cluster. as they use CDP.

Metrics 84

Metrics Data Governance Cost-Benefit Dashboards 84

Sisense

FEBRUARY 17, 2020

That in mind, we built a few different dashboards to investigate use cases for the data that Snowflake offers in its ACCOUNT_USAGE schema, which holds all of the usage data they collect. All of the queries and dashboards are available in the GitLab repo here. Step 0: Granting access to the tables.

Dashboards 80

Dashboards Data Warehouse Metadata Business Intelligence 80

Alation

DECEMBER 7, 2021

Alation surfaces valuable metadata, so users can quickly answer these questions with total confidence and trust. With this integration, organizations can fully harness the power of their metadata to maintain pristine data pipelines and serve high quality data to a broader range of users. grant everyone self-service access to data.

Data Quality 52

Data Quality Metadata Testing Data Governance 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

CIO Business Intelligence

SEPTEMBER 18, 2023

Verizon implemented machine learning models within Network Alpha Factory to automate certain aspects of the migration, such as building out network discovery metadata, and plans to incorporate more AI in the platform in the future, Verizon executives said.

Data mining 104

Data mining Testing Metadata Enterprise 104