Ontotext

JUNE 10, 2021

This is a graph of millions of edges and vertices – in enterprise data management terms it is a giant piece of master/reference data. To handle such scenarios you need a transalytical graph database – a database engine that can deal with both frequent updates (OLTP workload) as well as with graph analytics (OLAP).

Metadata 119

Metadata Cost-Benefit OLAP Modeling 119

AWS Big Data

JANUARY 9, 2025

Iceberg offers distinct advantages through its metadata layer over Parquet, such as improved data management, performance optimization, and integration with various query engines. Icebergs table format separates data files from metadata files, enabling efficient data modifications without full dataset rewrites.

Metadata 111

Metadata Snapshot Cost-Benefit Optimization 111

AWS Big Data

DECEMBER 4, 2024

By providing a standardized framework for data representation, open table formats break down data silos, enhance data quality, and accelerate analytics at scale. For more details, refer to Iceberg Release 1.6.1. An Iceberg table’s metadata stores a history of snapshots, which are updated with each transaction.

Snapshot 84

Snapshot Metadata Data Lake Optimization 84

AWS Big Data

DECEMBER 17, 2024

Amazon Redshift , launched in 2013, has undergone significant evolution since its inception, allowing customers to expand the horizons of data warehousing and SQL analytics. This allowed customers to scale read analytics workloads and offered isolation to help maintain SLAs for business-critical applications.

Data Lake 98

Data Lake Data Warehouse Data-driven Optimization 98

Alation

JULY 19, 2021

What Is Metadata? Metadata is information about data. A clothing catalog or dictionary are both examples of metadata repositories. Indeed, a popular online catalog, like Amazon, offers rich metadata around products to guide shoppers: ratings, reviews, and product details are all examples of metadata.

Metadata 105

Metadata Management Data Governance Machine Learning 105

AWS Big Data

NOVEMBER 29, 2023

The Eightfold Talent Intelligence Platform powered by Amazon Redshift and Amazon QuickSight provides a full-fledged analytics platform for Eightfold’s customers. It delivers analytics and enhanced insights about the customer’s Talent Acquisition, Talent Management pipelines, and much more.

Metadata 111

Metadata Data Warehouse Analytics Data Analytics 111

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. Key benefits The feature benefits multiple stakeholders.

Metadata 96

Metadata Data Governance Metrics Marketing 96

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 6, 2024

reduces the Amazon DynamoDB cost associated with KCL by optimizing read operations on the DynamoDB table storing metadata. KCL uses DynamoDB to store metadata such as shard-worker mapping and checkpoints. x benefits, refer to Use features of the AWS SDK for Java 2.x. Refer to Step 4 of Migrating from KCL 2.x x to KCL 3.x

Cost-Benefit 116

Cost-Benefit Metadata Optimization Publishing 116

Cloudera

JULY 15, 2021

Best of CDH & HDP, with added analytic and platform features . All three will be quorums of Zookeepers and HDFS Journal nodes to track changes to HDFS Metadata stored on the Namenodes. The post A Reference Architecture for the Cloudera Private Cloud Base Data Platform appeared first on Cloudera Blog. Networking .

Data Processing 102

Data Processing Metadata Testing Management 102

AWS Big Data

NOVEMBER 19, 2024

Pricing and availability Amazon MWAA pricing dimensions remains unchanged, and you only pay for what you use: The environment class Metadata database storage consumed Metadata database storage pricing remains the same. Refer to Amazon Managed Workflows for Apache Airflow Pricing for rates and more details.

Metadata 111

Metadata Cost-Benefit Metrics Optimization 111

AWS Big Data

OCTOBER 25, 2023

Solution overview Data and metadata discovery is one of the primary requirements in data analytics, where data consumers explore what data is available and in what format, and then consume or query it for analysis. But in the case of unstructured data, metadata discovery is challenging because the raw data isn’t easily readable.

Unstructured Data 133

Unstructured Data Metadata Management Analytics 133

AWS Big Data

APRIL 24, 2025

You can secure and centrally manage your data in the lakehouse by defining fine-grained permissions with Lake Formation that are consistently applied across all analytics and machine learning(ML) tools and engines. In this post, we demonstrate how to get started with ABAC in SageMaker Lakehouse and use with various analytics services.

Sales 89

Sales Data Lake Management Data-driven 89

datapine

JANUARY 31, 2022

Using business intelligence and analytics effectively is the crucial difference between companies that succeed and companies that fail in the modern environment. Your Chance: Want to try a professional BI analytics software? Experts say that BI and data analytics makes the decision-making process 5x times faster for businesses.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Rocket-Powered Data Science

JULY 19, 2023

I recently saw an informal online survey that asked users which types of data (tabular, text, images, or “other”) are being used in their organization’s analytics applications. The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data.

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

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. For more details, refer to the BladeBridge Analyzer Demo.

Data Warehouse 105

Data Warehouse Reporting Big Data Data Lake 105

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. When your CRM talks about “conversions” and your analytics suite talks about “conversions,” are they speaking the same language ? Enter the metadata catalog.

Metadata 97

Metadata IT Unstructured Data IoT 97

Rocket-Powered Data Science

MARCH 10, 2020

I wrote an extensive piece on the power of graph databases, linked data, graph algorithms, and various significant graph analytics applications. The book is awesome, an absolute must-have reference volume, and it is free (for now, downloadable from Neo4j ). Well, the graph analytics algorithm would notice!

Metadata 250

Metadata Machine Learning Prescriptive Analytics ROI 250

AWS Big Data

MARCH 18, 2024

In these cases, you may want an integrated query layer to seamlessly run analytical queries across these diverse cloud stores and streamline your data analytics processes. You can consolidate your analytics workflows, reducing the need for extensive tooling and infrastructure management.

Data Lake 131

Data Lake Analytics Cost-Benefit Management 131

AWS Big Data

FEBRUARY 6, 2023

AWS Glue is a serverless data integration service that makes it simple to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning (ML), and application development. For instructions, refer to How to Set Up a MongoDB Cluster. Choose the table to view the schema and other metadata.

Metadata 98

Metadata Data Lake Machine Learning Big Data 98

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. Amazon Athena is used to query, and explore the data.

Sales 115

Sales Data-driven Data Processing Key Performance Indicator 115

AWS Big Data

MARCH 5, 2025

After theyve been published, you can query the published assets from another AWS account using analytical tools such as Amazon Athena and the Amazon Redshift query editor , as shown in the following figure. The AWS account that needs to access or use the data from the producer account is referred to as the consumer account.

Analytics 61

Analytics Publishing Metadata Sales 61

AWS Big Data

NOVEMBER 19, 2024

Unfiltered Table Metadata This tab displays the response of the AWS Glue API GetUnfilteredTableMetadata policies for the selected table. Get table data and metadata for this user to see how Lake Formation permissions are enforced and so the two users can see different data (on the Authorized Data tab).

Data Processing 98

Data Processing Metadata Publishing Testing 98

AWS Big Data

DECEMBER 19, 2024

To learn more about working with events using EventBridge, refer to Events via Amazon EventBridge default bus. After you create the asset, you can add glossaries or metadata forms, but its not necessary for this post. We refer to this role as the instance-role throughout the post. Enter a name for the asset.

Publishing 97

Publishing Unstructured Data Metadata Data-driven 97

AWS Big Data

MAY 29, 2024

Since its inception, Apache Kafka has depended on Apache Zookeeper for storing and replicating the metadata of Kafka brokers and topics. the Kafka community has adopted KRaft (Apache Kafka on Raft), a consensus protocol, to replace Kafka’s dependency on ZooKeeper for metadata management. For Metadata mode , select KRaft.

Metadata 114

Metadata Cost-Benefit Management Big Data 114

AWS Big Data

MARCH 7, 2024

You can take all your data from various silos, aggregate that data in your data lake, and perform analytics and machine learning (ML) directly on top of that data. We refer to this concept as outside-in data movement. For a list of supported metrics, refer to Monitoring pipeline metrics.

Data Lake 131

Data Lake Analytics Dashboards Metrics 131

AWS Big Data

DECEMBER 4, 2024

Amazon SageMaker Lakehouse unifies all your data across Amazon S3 data lakes and Amazon Redshift data warehouses, helping you build powerful analytics and AI/ML applications on a single copy of data. The data is also registered in the Glue Data Catalog , a metadata repository. You don’t need to maintain complex ETL pipelines.

Data Integration 115

Data Integration Data Lake Statistics Data-driven 115

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. Three Types of Metadata in a Data Catalog. The metadata provides information about the asset that makes it easier to locate, understand and evaluate.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

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. The following diagram is a conceptual analytics data hub reference architecture. They should also provide optimal performance with low or no tuning.

Analytics 97

Analytics Data Warehouse Data Lake Metadata 97

AWS Big Data

SEPTEMBER 12, 2024

Along with the Glue Data Catalog’s automated compaction feature, these storage optimizations can help you reduce metadata overhead, control storage costs, and improve query performance. The Glue Data Catalog monitors tables daily, removes snapshots from table metadata, and removes the data files and orphan files that are no longer needed.

Optimization 129

Optimization Snapshot Metadata Metrics 129

AWS Big Data

NOVEMBER 15, 2023

BMW Cloud Efficiency Analytics (CLEA) is a homegrown tool developed within the BMW FinOps CoE (Center of Excellence) aiming to optimize and reduce costs across all these accounts. In this post, we explore how the BMW Group FinOps CoE implemented their Cloud Efficiency Analytics tool (CLEA), powered by Amazon QuickSight and Amazon Athena.

Analytics 111

Analytics Dashboards Metadata Data Warehouse 111

AWS Big Data

JUNE 2, 2023

Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytic workloads. This JSON file contains the migration metadata, namely the following: A list of Google BigQuery projects and datasets. If you don’t have one, refer to Amazon Redshift Serverless. An S3 bucket.

Metadata 135

Metadata Data Warehouse Big Data Analytics 135

datapine

SEPTEMBER 29, 2022

quintillion bytes of data being produced on a daily basis and the wide range of online data analysis tools in the market, the use of data and analytics has never been more accessible. Data quality refers to the assessment of the information you have, relative to its purpose and its ability to serve that purpose. With a shocking 2.5

Data Quality 241

Data Quality Metrics Data-driven Management 241

AWS Big Data

JULY 27, 2023

Amazon Redshift is a fully managed, scalable cloud data warehouse that accelerates your time to insights with fast, easy, and secure analytics at scale. Tens of thousands of customers rely on Amazon Redshift to analyze exabytes of data and run complex analytical queries, making it the widely used cloud data warehouse.

Data Warehouse 98

Data Warehouse Analytics Metadata Dashboards 98

AWS Big Data

SEPTEMBER 12, 2024

Considerations when using data sharing in Amazon Redshift For a comprehensive list of considerations and limitations of data sharing, refer to Considerations when using data sharing in Amazon Redshift. Refer to Part 1 of this series to complete the setup. xlplus) and Redshift Serverless. Choose Create to complete the setup.

Data Lake 115

Data Lake Analytics Data-driven Data Strategy 115

AWS Big Data

JANUARY 8, 2024

It aims to provide a framework to create low-latency streaming applications on the AWS Cloud using Amazon Kinesis Data Streams and AWS purpose-built data analytics services. The collected data is available in milliseconds to allow real-time analytics use cases, such as real-time dashboards, real-time anomaly detection, and dynamic pricing.

Analytics 134

Analytics IoT Data-driven Snapshot 134

AWS Big Data

DECEMBER 10, 2024

Amazon Redshift is a fast, petabyte-scale, cloud data warehouse that tens of thousands of customers rely on to power their analytics workloads. With its massively parallel processing (MPP) architecture and columnar data storage, Amazon Redshift delivers high price-performance for complex analytical queries against large datasets.

Sales 105

Sales Metadata Enterprise Testing 105