AWS Big Data

FEBRUARY 27, 2024

Customers prefer to let the service manage its capacity automatically rather than having to manually provision capacity. Until now, customers have had to rely on using custom code or third-party solutions to move the data between provisioned OpenSearch Service domains and OpenSearch Serverless.

Metadata 93

Metadata Data Processing Dashboards IoT 93

IBM Big Data Hub

NOVEMBER 28, 2022

Metadata management performs a critical role within the modern data management stack. However, as data volumes continue to grow, manual approaches to metadata management are sub-optimal and can result in missed opportunities. This puts into perspective the role of active metadata management.

Metadata 57

Metadata Data Quality Data-driven Data Governance 57

Alation

MARCH 2, 2023

Analysis, however, requires enterprises to find and collect metadata. In fact, Gartner’s “Market Guide for Active Metadata Management” points to “ active metadata management ” as the key to continuous data analysis – which supports smarter human usage and more valuable insights.

Metadata 52

Metadata Marketing IT Data Quality 52

AWS Big Data

OCTOBER 11, 2023

Organizations with legacy, on-premises, near-real-time analytics solutions typically rely on self-managed relational databases as their data store for analytics workloads. We introduce you to Amazon Managed Service for Apache Flink Studio and get started querying streaming data interactively using Amazon Kinesis Data Streams.

Management 103

Management Metadata Analytics Dashboards 103

Octopai

DECEMBER 12, 2021

Metadata is the pertinent, practical details about data assets: what they are, what to use them for, what to use them with. Without metadata, data is just a heap of numbers and letters collecting dust. Where does metadata come from? What is a metadata management tool? Metadata harvesting.

Metadata 93

Metadata Management Data Quality Data Governance 93

AWS Big Data

JANUARY 10, 2024

With this feature, managed clusters can achieve 99.99% availability while remaining resilient to zonal infrastructure failures. Background Multi-AZ with Standby deploys OpenSearch Service domain instances across three Availability Zones, with two zones designated as active and one as standby.

Metadata 94

Metadata Broadcasting Data Processing Modeling 94

AWS Big Data

MARCH 26, 2024

However, building a C360 solution can be complicated. A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data.

Data Strategy 67

Data Strategy Strategy Data Warehouse Prescriptive Analytics 67

AWS Big Data

OCTOBER 3, 2023

In our previous post Improve operational efficiencies of Apache Iceberg tables built on Amazon S3 data lakes , we discussed how you can implement solutions to improve operational efficiencies of your Amazon Simple Storage Service (Amazon S3) data lake that is using the Apache Iceberg open table format and running on the Amazon EMR big data platform.

Optimization 108

Optimization Snapshot Data Lake Metadata 108

AWS Big Data

NOVEMBER 17, 2023

Amazon DynamoDB is a fully managed, serverless, key-value NoSQL database designed to run high-performance applications at any scale. 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.

Visualization 81

Visualization Metadata Testing Internet of Things 81

Ontotext

AUGUST 22, 2023

Central to today’s efficient business operations are the activities of data capturing and storage, search, sharing, and data analytics. Poor data management, data silos, and a lack of a common understanding across systems and/or teams are the root cause that prohibits an organization from scaling the business in a dynamic environment.

Metadata 52

Metadata Knowledge Discovery Big Data Enterprise 52

Octopai

MAY 31, 2022

Why on earth do you want to manage your data? The need for data management is a given. Data management for BI is different than data management for other reasons and, correspondingly, needs a different set of tools. These two types of data management (i.e. In contrast, data management for BI is asset management.

Management 52

Management Metadata Business Intelligence ROI 52

AWS Big Data

SEPTEMBER 7, 2023

This blog post presents an architecture solution that allows customers to extract key insights from Amazon S3 access logs at scale. These logs can track activity, such as data access patterns, lifecycle and management activity, and security events. We can query partitioned logs directly in Amazon S3 using standard SQL.

Metadata 98

Metadata Dashboards Metrics Visualization 98

AWS Big Data

AUGUST 8, 2023

Centralized identity management is the way to maintain a single identity provider (IdP) that can authenticate actors and manage and distribute their rights. Our customers use a variety of IdPs, including AWS IAM Identity Center (successor to AWS SSO), Okta, Keycloak, Active Directory Federation Services (AD FS), and Auth0.

Metadata 82

Metadata Dashboards Visualization Management 82

AWS Big Data

OCTOBER 4, 2023

Common pain points of data management and governance: Discovery of data , especially data distributed across accounts and regions – Finding the data to use for analysis is challenging because organizations often have petabytes of data spread across tens or even thousands of data sources.

Metadata 98

Metadata Data Lake Publishing Data Governance 98

DataKitchen

AUGUST 8, 2023

She sees Data Observability as an emerging technology in data engineering and management. Data Observability leverages five critical technologies to create a data awareness AI engine: data profiling, active metadata analysis, machine learning, data monitoring, and data lineage. Let’s start with a scenario.

Data Quality 130

Data Quality Testing Snapshot Reporting 130

AWS Big Data

JUNE 2, 2023

Amazon Redshift is a widely used, fully managed, petabyte-scale cloud data warehouse. We use AWS Glue , a fully managed, serverless, ETL (extract, transform, and load) service, and the Google BigQuery Connector for AWS Glue (for more information, refer to Migrating data from Google BigQuery to Amazon S3 using AWS Glue custom connectors ).

Metadata 108

Metadata Data Warehouse Big Data Testing 108

AWS Big Data

APRIL 8, 2024

Overview of the Amazon DataZone integration with Lake Formation hybrid access mode Amazon DataZone is a fully managed data management service to catalog, discover, analyze, share, and govern data between data producers and consumers in your organization. For some of these assets, Amazon DataZone can automatically manage access grants.

Finance 76

Finance Sales Publishing Metadata 76

AWS Big Data

FEBRUARY 23, 2023

Amazon QuickSight Enterprise edition can integrate with your existing Microsoft Active Directory (AD), providing federated access using Security Assertion Markup Language (SAML) to dashboards. This post assumes you have an existing Microsoft Active Directory Federation Services (ADFS) configured in your environment. Create IAM roles.

Metadata 70

Metadata Dashboards Management Enterprise 70

AWS Big Data

MARCH 7, 2023

This post provides guidance on how to build scalable analytical solutions for gaming industry use cases using Amazon Redshift Serverless. Decoupled and scalable – Serverless, auto scaled, and fully managed services are preferred over manually managed services. Solutions should be flexible to scale up and down.

Analytics 70

Analytics Data Warehouse Data Lake Metadata 70

Smart Data Collective

JULY 27, 2021

Customer relationship management (CRM) platforms are very reliant on big data. In software development, technical debt is often defined as the cost of choosing an easy solution now instead of a better approach that might take longer. Complex Salesforce orgs can work just fine if they are properly managed.

Big Data 131

Big Data Snapshot IT Dashboards 131

CIO Business Intelligence

NOVEMBER 22, 2022

Every enterprise needs a data strategy that clearly defines the technologies, processes, people, and rules needed to safely and securely manage its information assets and practices. Data is no longer just used by analysts and data scientists,” says Dinesh Nirmal, general manager of AI and automation at IBM Data.

Data Strategy 145

Data Strategy Strategy Enterprise Consulting 145

AWS Big Data

NOVEMBER 6, 2023

Amazon Managed Workflow for Apache Airflow (Amazon MWAA) is a managed service that allows you to use a familiar Apache Airflow environment with improved scalability, availability, and security to enhance and scale your business workflows without the operational burden of managing the underlying infrastructure.

Metrics 101

Metrics Metadata Snapshot Management 101

AWS Big Data

MARCH 29, 2024

Solution overview The following architecture diagram illustrates the workflow to implement the solution. An AWS Glue crawler scans data on the S3 bucket and populates table metadata on the AWS Glue Data Catalog. You can deploy the end-to-end solution to visualize and analyze trends of the observability metrics.

Metrics 103

Metrics Visualization Dashboards Interactive 103

AWS Big Data

NOVEMBER 15, 2023

Additionally, it incorporates BMW Group’s internal system to integrate essential metadata, offering a comprehensive view of the data across various dimensions, such as group, department, product, and applications. Data providers and consumers are the two fundamental users of a CDH dataset.

Dashboards 93

Dashboards Analytics Metadata Optimization 93

Octopai

JANUARY 31, 2022

If you’re a mystery lover, I’m sure you’ve read that classic tale: Sherlock Holmes and the Case of the Deceptive Data, and you know how a metadata catalog was a key plot element. Guy after his quarterly report to management is charged as being inaccurate and misleading. Let me tell you about metadata and cataloging.”.

Metadata 77

Metadata IT Unstructured Data IoT 77

IBM Big Data Hub

NOVEMBER 4, 2022

So, it is imperative to have a clear data quality strategy that relies on proactive data quality management as data moves from producers to consumers. We are excited to share that Gartner recently named IBM a Leader in the 2022 Gartner® Magic Quadrant for Data Quality Solutions. Unlock quality data with IBM. Data Governance.

Data Quality 57

Data Quality Metadata Data Governance Data-driven 57

CDW Research Hub

JUNE 24, 2021

Metadata provides basic information (the who, what, when, where, why) about your data assets. Think of metadata as your data’s life story. By properly managing your metadata, you can improve data visibility, enhance any area of business that uses data and insights, and create opportunities for data reuse and sharing.

Metadata 52

Metadata Data Governance Management Strategy 52

AWS Big Data

MARCH 22, 2023

AWS Identity and Access Management (IAM) allows organizations to use the identities managed in their enterprise identity provider (IdP) and federate single sign-on (SSO) to QuickSight. This allows system administrators to centrally manage user permissions from Azure AD. protocol.

Management 94

Management Metadata Enterprise Testing 94

Octopai

FEBRUARY 26, 2024

Revolutionizing Data Management: Octopai’s Role in Data Cleansing and Business Efficiency In the digital age, where data is ubiquitously hailed as the new oil, its management goes beyond mere cleanliness to encompass strategic asset optimization.

Metadata 52

Metadata ROI Optimization Data-driven 52

AWS Big Data

AUGUST 16, 2023

Iceberg manages large collections of files as tables, and it supports modern analytical data lake operations such as record-level insert, update, delete, and time travel queries. Solution overview We demonstrate this solution with an end-to-end serverless CDC process. Enter a stack name. Choose Create stack.

Data Lake 70

Data Lake Metadata Testing Snapshot 70

AWS Big Data

APRIL 18, 2023

Amazon OpenSearch Serverless is a serverless option of Amazon OpenSearch Service that makes it easy for you to run large-scale search and analytics workloads without having to configure, manage, or scale OpenSearch clusters. Prerequisites To get started, you must have an active OpenSearch Serverless collection. application.

Dashboards 78

Dashboards Metadata Management Testing 78

Alation

MAY 19, 2022

Active metadata gives you crucial context around what data you have and how to use it wisely. Active metadata provides the who, what, where, and when of a given asset, showing you where it flows through your pipeline, how that data is used, and who uses it most often. Establish what data you have. Leverage small data.

Metadata 52

Metadata Data Analytics Analytics Data Governance 52

CIO Business Intelligence

AUGUST 7, 2023

Real challenges and complications can arise with respect to managing data flows across the enterprise. enterprise decision-makers are actively using at least one form of cloud deployment in their own organizations. Streamlining processes and eliminating waste is critical, especially when it comes to content management.

Metadata 77

Metadata Risk Software Enterprise 77

AWS Big Data

FEBRUARY 7, 2024

Amazon OpenSearch Service is a fully managed search and analytics service powered by the Apache Lucene search library that can be operated within a virtual private cloud (VPC). This post outlines an end-to-end solution for integrating SAML authentication for OpenSearch Service domains running in a VPC. Enable AWS IAM Identity Center.

Dashboards 80

Dashboards Data Processing Metadata Consulting 80

DataKitchen

SEPTEMBER 21, 2023

These layers help teams delineate different stages of data processing, storage, and access, offering a structured approach to data management. Data in Use pertains explicitly to how data is actively employed in business intelligence tools, predictive models, visualization platforms, and even during export or reverse ETL processes.

Testing 176

Testing Data Quality Predictive Modeling Metrics 176

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

Alation

FEBRUARY 20, 2020

Gartner predicts that “By 2020, 50% of information governance initiatives will be enacted with policies based on metadata alone.”. Magic Quadrant for Metadata Management Solutions , Guido de Simoni and Roxane Edjlali, August 10, 2017. Metadata management no longer refers to a static technical repository.

Metadata 52

Metadata Management Data-driven Data Governance 52