AWS Big Data

APRIL 9, 2025

Whether youre a data analyst seeking a specific metric or a data steward validating metadata compliance, this update delivers a more precise, governed, and intuitive search experience. Start using this enhanced search capability today and experience the difference it brings to your data discovery journey.

Metadata 110

Metadata Metrics Data-driven Cost-Benefit 110

AWS Big Data

JULY 29, 2024

In the era of big data, data lakes have emerged as a cornerstone for storing vast amounts of raw data in its native format. They support structured, semi-structured, and unstructured data, offering a flexible and scalable environment for data ingestion from multiple sources.

Metadata 126

Metadata Snapshot Data Lake Metrics 126

Smart Data Collective

JULY 27, 2021

Customer relationship management (CRM) platforms are very reliant on big data. As these platforms become more widely used, some of the data resources they depend on become more stretched. CRM providers need to find ways to address the technical debt problem they are facing through new big data initiatives.

Big Data 137

Big Data Snapshot IT Dashboards 137

AWS Big Data

NOVEMBER 22, 2024

It is appealing to migrate from self-managed OpenSearch and Elasticsearch clusters in legacy versions to Amazon OpenSearch Service to enjoy the ease of use, native integration with AWS services, and rich features from the open-source environment ( OpenSearch is now part of Linux Foundation ).

Snapshot 98

Snapshot Metadata Recreation/Entertainment Data Processing 98

AWS Big Data

JANUARY 15, 2025

Their terminal operations rely heavily on seamless data flows and the management of vast volumes of data. With the addition of these technologies alongside existing systems like terminal operating systems (TOS) and SAP, the number of data producers has grown substantially. This process is shown in the following figure.

IoT 111

IoT Machine Learning Metadata Data-driven 111

AWS Big Data

DECEMBER 4, 2024

Open table formats are emerging in the rapidly evolving domain of big data management, fundamentally altering the landscape of data storage and analysis. Their ability to resolve critical issues such as data consistency, query efficiency, and governance renders them indispensable for data- driven organizations.

Snapshot 84

Snapshot Metadata Data Lake Optimization 84

datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

Data Quality 241

Data Quality Metrics Data-driven Management 241

AWS Big Data

DECEMBER 4, 2024

Recognizing this paradigm shift, ANZ Institutional Division has embarked on a transformative journey to redefine its approach to data management, utilization, and extracting significant business value from data insights. This enables global discoverability and collaboration without centralizing ownership or operations.

Metadata 105

Metadata Data Governance Data Quality Data-driven 105

AWS Big Data

NOVEMBER 7, 2024

Amazon Redshift is a fully managed, AI-powered cloud data warehouse that delivers the best price-performance for your analytics workloads at any scale. It enables you to get insights faster without extensive knowledge of your organization’s complex database schema and metadata. Your data is not shared across accounts.

Metadata 105

Metadata Sales Data Warehouse Optimization 105

AWS Big Data

OCTOBER 25, 2023

Additionally, we show how to use AWS AI/ML services for analyzing unstructured data. Why it’s challenging to process and manage unstructured data Unstructured data makes up a large proportion of the data in the enterprise that can’t be stored in a traditional relational database management systems (RDBMS).

Unstructured Data 133

Unstructured Data Metadata Management Analytics 133

AWS Big Data

OCTOBER 24, 2024

Amazon OpenSearch Service is a fully managed service for search and analytics. It allows organizations to secure data, perform searches, analyze logs, monitor applications in real time, and explore interactive log analytics. You can use an existing domain or create a new domain. Make sure the Python version is later than 2.7.0:

Visualization 105

Visualization Management Data Processing Testing 105

AWS Big Data

NOVEMBER 20, 2024

We’re excited to announce a new feature in Amazon DataZone that offers enhanced metadata governance for your subscription approval process. With this update, domain owners can define and enforce metadata requirements for data consumers when they request access to data assets.

Metadata 95

Metadata Data Governance Metrics Marketing 95

AWS Big Data

OCTOBER 29, 2024

To achieve this, they aimed to break down data silos and centralize data from various business units and countries into the BMW Cloud Data Hub (CDH). However, the initial version of CDH supported only coarse-grained access control to entire data assets, and hence it was not possible to scope access to data asset subsets.

Data Lake 108

Data Lake Sales Metadata Machine Learning 108

AWS Big Data

APRIL 29, 2024

The construction of big data applications based on open source software has become increasingly uncomplicated since the advent of projects like Data on EKS , an open source project from AWS to provide blueprints for building data and machine learning (ML) applications on Amazon Elastic Kubernetes Service (Amazon EKS).

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Management Big Data Data Warehouse Metadata 116

AWS Big Data

DECEMBER 4, 2024

By directly integrating with Lakehouse, all the data is automatically cataloged and can be secured through fine-grained permissions in Lake Formation. Zero-ETL is a set of fully managed integrations by AWS that minimizes the need to build ETL data pipelines. Zero-ETL provides service-managed replication. What is zero-ETL?

Data Integration 114

Data Integration Data Lake Statistics Data-driven 114

AWS Big Data

NOVEMBER 19, 2024

Amazon Managed Workflows for Apache Airflow (Amazon MWAA), is a managed Apache Airflow service used to extract business insights across an organization by combining, enriching, and transforming data through a series of tasks called a workflow. This approach offers greater flexibility and control over workflow management.

Metadata 111

Metadata Cost-Benefit Metrics Optimization 111

AWS Big Data

NOVEMBER 11, 2024

In this post, we focus on the use case for centralizing log aggregation for an organization that has a compliance need to archive and retain its log data. Kinesis Data Streams is a fully managed, serverless data streaming service that stores and ingests various streaming data in real time at any scale.

Metadata 122

Metadata Metrics Analytics Data Processing 122

CIO Business Intelligence

MARCH 24, 2023

It encompasses the people, processes, and technologies required to manage and protect data assets. The Data Management Association (DAMA) International defines it as the “planning, oversight, and control over management of data and the use of data and data-related sources.”

Data Governance 142

Data Governance Management Metadata Data Quality 142

Rocket-Powered Data Science

JULY 6, 2021

The key to success is to start enhancing and augmenting content management systems (CMS) with additional features: semantic content and context. This is accomplished through tags, annotations, and metadata (TAM). TAM management, like content management, begins with business strategy. Collect, curate, and catalog (i.e.,

Strategy 267

Strategy Machine Learning Metadata Knowledge Discovery 267

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. Near-real-time streaming analytics captures the value of operational data and metrics to provide new insights to create business opportunities.

Management 131

Management Metadata Analytics Dashboards 131

AWS Big Data

NOVEMBER 29, 2023

From Talent Acquisition to Talent Management and talent insights, Eightfold offers a single AI platform that does it all. It delivers analytics and enhanced insights about the customer’s Talent Acquisition, Talent Management pipelines, and much more. Customers can also implement their own custom dashboards in QuickSight.

Metadata 111

Metadata Data Warehouse Analytics Data Analytics 111

AWS Big Data

OCTOBER 21, 2024

Let’s briefly describe the capabilities of the AWS services we referred above: AWS Glue is a fully managed, serverless, and scalable extract, transform, and load (ETL) service that simplifies the process of discovering, preparing, and loading data for analytics. As stated earlier, the first step involves data ingestion.

Sales 115

Sales Data-driven Data Processing Key Performance Indicator 115

AWS Big Data

OCTOBER 30, 2024

Ali Tore, Senior Vice President of Advanced Analytics at Salesforce, highlighting the value of this integration, says “We’re excited to partner with Amazon to bring Tableau’s powerful data exploration and AI-driven analytics capabilities to customers managing data across organizational boundaries with Amazon DataZone.

Visualization 119

Visualization Data Lake Testing Data Governance 119

AWS Big Data

DECEMBER 16, 2024

For each service, you need to learn the supported authorization and authentication methods, data access APIs, and framework to onboard and test data sources. This fragmented, repetitive, and error-prone experience for data connectivity is a significant obstacle to data integration, analysis, and machine learning (ML) initiatives.

Visualization 92

Visualization Data Processing Testing Publishing 92

AWS Big Data

DECEMBER 4, 2024

SageMaker brings together widely adopted AWS ML and analytics capabilities—virtually all of the components you need for data exploration, preparation, and integration; petabyte-scale big data processing; fast SQL analytics; model development and training; governance; and generative AI development.

Data Analytics 104

Data Analytics Analytics Data Lake Data Quality 104

AWS Big Data

DECEMBER 17, 2024

We have enhanced data sharing performance with improved metadata handling, resulting in data sharing first query execution that is up to four times faster when the data sharing producers data is being updated. You can also create new data lake tables using Redshift Managed Storage (RMS) as a native storage option.

Data Lake 98

Data Lake Data Warehouse Data-driven Optimization 98

AWS Big Data

NOVEMBER 6, 2024

Kinesis Data Streams not only offers the flexibility to use many out-of-box integrations to process the data published to the streams, but also provides the capability to build custom stream processing applications that can be deployed on your compute fleet. This is where Kinesis Client Library (KCL) comes in.

Cost-Benefit 116

Cost-Benefit Metadata Optimization Publishing 116

AWS Big Data

DECEMBER 10, 2024

As organizations increasingly adopt cloud-based solutions and centralized identity management, the need for seamless and secure access to data warehouses like Amazon Redshift becomes crucial. federated users to access the AWS Management Console. From there, the user can access the Redshift Query Editor V2.

Sales 105

Sales Metadata Enterprise Testing 105

AWS Big Data

MAY 29, 2024

Organizations are adopting Apache Kafka and Amazon Managed Streaming for Apache Kafka (Amazon MSK) to capture and analyze data in real time. Since its inception, Apache Kafka has depended on Apache Zookeeper for storing and replicating the metadata of Kafka brokers and topics. Starting from Apache Kafka version 3.3,

Metadata 113

Metadata Cost-Benefit Management Big Data 113

AWS Big Data

OCTOBER 23, 2024

Amazon Managed Workflows for Apache Airflow (Amazon MWAA) is a fully managed service that builds upon Apache Airflow, offering its benefits while eliminating the need for you to set up, operate, and maintain the underlying infrastructure, reducing operational overhead while increasing security and resilience.

Interactive 115

Interactive Testing Data-driven Data Lake 115

AWS Big Data

NOVEMBER 7, 2024

BladeBridge offers a comprehensive suite of tools that automate much of the complex conversion work, allowing organizations to quickly and reliably transition their data analytics capabilities to the scalable Amazon Redshift data warehouse. Amazon Redshift is a fully managed data warehouse service offered by Amazon Web Services (AWS).

Data Warehouse 105

Data Warehouse Reporting Big Data Data Lake 105

AWS Big Data

APRIL 24, 2025

Amazon SageMaker Lakehouse now supports attribute-based access control (ABAC) with AWS Lake Formation , using AWS Identity and Access Management (IAM) principals and session tags to simplify data access, grant creation, and maintenance.

Sales 88

Sales Data Lake Management Data-driven 88

AWS Big Data

DECEMBER 19, 2024

Organizational data is often fragmented across multiple lines of business, leading to inconsistent and sometimes duplicate datasets. This fragmentation can delay decision-making and erode trust in available data. This approach streamlines data access while ensuring proper governance. Enter a name for the asset.

Publishing 96

Publishing Unstructured Data Metadata Data-driven 96

AWS Big Data

MARCH 25, 2024

Amazon MSK Connect is a fully managed service for Apache Kafka Connect. With a few clicks, MSK Connect allows you to deploy connectors that move data between Apache Kafka and external systems. Together, these new capabilities make it straightforward to manage your MSK Connect resources and automate deployments through CI/CD pipelines.

Management 114

Management Metadata Reporting Big Data 114

AWS Big Data

JULY 16, 2024

The Zurich Cyber Fusion Center management team faced similar challenges, such as balancing licensing costs to ingest and long-term retention requirements for both business application log and security log data within the existing SIEM architecture. Previously, P2 logs were ingested into the SIEM.

Insurance 130

Insurance Management Cost-Benefit Optimization 130

AWS Big Data

SEPTEMBER 12, 2024

The AWS Glue Data Catalog now enhances managed table optimization of Apache Iceberg tables by automatically removing data files that are no longer needed. Iceberg creates a new version called a snapshot for every change to the data in the table. The customer table data and metadata are stored in the S3 bucket.

Optimization 129

Optimization Snapshot Metadata Metrics 129

AWS Big Data

APRIL 3, 2024

Apache Iceberg offers integrations with popular data processing frameworks such as Apache Spark, Apache Flink, Apache Hive, Presto, and more. AWS provides integrations for various AWS services with Iceberg tables as well, including AWS Glue Data Catalog for tracking table metadata.

Data Lake 126

Data Lake Snapshot Metadata Data Architecture 126