Cloudera

AUGUST 6, 2024

Open data is the future. And for that future to be a reality, data teams must shift their attention to metadata, the new turf war for data. The need for unified metadata While open and distributed architectures offer many benefits, they come with their own set of challenges. A few solutions manage both.

Metadata 82

Metadata Cost-Benefit Management Enterprise 82

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 77

Metadata Data Governance Metrics Marketing 77

Cloudera

OCTOBER 23, 2024

In August, we wrote about how in a future where distributed data architectures are inevitable, unifying and managing operational and business metadata is critical to successfully maximizing the value of data, analytics, and AI.

Metadata 84

Metadata Data Lake Dashboards Interactive 84

AWS Big Data

DECEMBER 4, 2024

Institutional Data & AI Platform architecture The Institutional Division has implemented a self-service data platform to enable the domain teams to build and manage data products autonomously. The following diagram illustrates the building blocks of the Institutional Data & AI Platform.

Metadata 95

Metadata Data Governance Data Quality Data-driven 95

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. Over the years, he has helped multiple customers on data platform transformations across industry verticals.

Metadata 107

Metadata Cost-Benefit Metrics Optimization 107

AWS Big Data

NOVEMBER 11, 2024

The IAM role ARN must be the same for both the OpenSearch Servicer sink definition and the Kinesis Data Streams source definition. You can control what data gets indexed in different indexes using the index definition in the sink.

Metadata 110

Metadata Metrics Analytics Data Processing 110

Smart Data Collective

FEBRUARY 11, 2021

Data analytics is the linchpin of digital business strategies in the 21st Century. Sensible companies need to know how to properly utilize data analytics to take full advantage of all of their digital resources. The Intersection Between Data Analytics and Digital Asset Management.

Marketing 108

Marketing Data Analytics Management Analytics 108

Timo Elliott

NOVEMBER 21, 2022

You lose the roots, all of the rich, business, context and metadata and security and hierarchies, and then you have to try and recreate it in the new environment. But the problem with that is that it’s like ripping a tree out of the forest and trying to get it to grow in a different environment.

Data Analytics 98

Data Analytics Analytics Recreation/Entertainment Data Lake 98

Octopai

FEBRUARY 26, 2025

This is the first event Octopai and Cloudera join forces to bring to the market the only true hybrid platform for data, analytics, and AI as well as the best-in-class data lineage and metadata management platform.

Data Analytics 52

Data Analytics Analytics Metadata Marketing 52

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.

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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. Industry-leading price-performance: Amazon Redshift launches RA3.large

Data Lake 83

Data Lake Data Warehouse Data-driven Optimization 83

CIO Business Intelligence

MARCH 21, 2022

Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. Data scientist job description. Semi-structured data falls between the two.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Data Science 137

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. Priyanka Chaudhary is a Senior Solutions Architect and data analytics specialist. Other benefits in KCL 3.0

Cost-Benefit 110

Cost-Benefit Metadata Optimization Publishing 110

DataKitchen

AUGUST 3, 2021

Third-generation – more or less like the previous generation but with streaming data, cloud, machine learning and other (fill-in-the-blank) fancy tools. It’s no fun working in data analytics/science when you are the bottleneck in your company’s business processes. See the pattern?

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

CIO Business Intelligence

AUGUST 11, 2023

In today’s digital world, the ability to make data-driven decisions and develop strategies that are based on data analytics is critical to success in every industry. The IDH will be a game-changing platform that allows us to make data available to data scientists and data analysts across the company.

Data Analytics 98

Data Analytics Analytics Data-driven Business Driver 98

AWS Big Data

OCTOBER 25, 2023

But most important of all, the assumed dormant value in the unstructured data is a question mark, which can only be answered after these sophisticated techniques have been applied. Therefore, there is a need to being able to analyze and extract value from the data economically and flexibly. The solution integrates data in three tiers.

Unstructured Data 130

Unstructured Data Metadata Management Analytics 130

DataKitchen

AUGUST 9, 2021

The domain also includes code that acts upon the data, including tools, pipelines, and other artifacts that drive analytics execution. The domain requires a team that creates/updates/runs the domain, and we can’t forget metadata: catalogs, lineage, test results, processing history, etc., ….

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Testing Data Lake Metadata Publishing 246

Octopai

SEPTEMBER 22, 2019

. – Property insurers are using troves of geographical, geological, climate, and other data to assess all kinds of hazard risks. – All types of insurance companies are leveraging data analytics to detect and prosecute fraud. Insurance Metadata Management. Both of these two keys deal with metadata.

Metadata 53

Metadata Insurance Management Data Governance 53

Alation

JUNE 28, 2022

This is where metadata, or the data about data, comes into play. Having a data catalog is the cornerstone of your data governance strategy, but what supports your data catalog? Your metadata management framework provides the underlying structure that makes your data accessible and manageable.

Metadata 52

Metadata Management Data Governance Machine Learning 52

AWS Big Data

JUNE 7, 2023

They chose AWS Glue as their preferred data integration tool due to its serverless nature, low maintenance, ability to control compute resources in advance, and scale when needed. To share the datasets, they needed a way to share access to the data and access to catalog metadata in the form of tables and views.

Metadata 59

Metadata Data Lake Machine Learning Big Data 59

AWS Big Data

FEBRUARY 26, 2025

In this post, we walk you through the top analytics announcements from re:Invent 2024 and explore how these innovations can help you unlock the full potential of your data. S3 Metadata is designed to automatically capture metadata from objects as they are uploaded into a bucket, and to make that metadata queryable in a read-only table.

Analytics 59

Analytics Data Lake Metadata Data Warehouse 59

erwin

JANUARY 30, 2020

The results of our new research show that organizations are still trying to master data governance, including adjusting their strategies to address changing priorities and overcoming challenges related to data discovery, preparation, quality and traceability. And close to 50 percent have deployed data catalogs and business glossaries.

Data Governance 145

Data Governance Metadata Cost-Benefit Digital Transformation 145

DataKitchen

FEBRUARY 2, 2023

Most data governance tools today start with the slow, waterfall building of metadata with data stewards and then hope to use that metadata to drive code that runs in production. In reality, the ‘active metadata’ is just a written specification for a data developer to write their code.

Metadata 130

Metadata Testing Data Science Risk 130

AWS Big Data

OCTOBER 11, 2023

In this post, we discuss ways to modernize your legacy, on-premises, real-time analytics architecture to build serverless data analytics solutions on AWS using Amazon Managed Service for Apache Flink. It shows a call center streaming data source that sends the latest call center feed in every 15 seconds.

Management 119

Management Metadata Analytics Dashboards 119

AWS Big Data

APRIL 16, 2024

Running Apache Airflow at scale puts proportionally greater load on the Airflow metadata database, sometimes leading to CPU and memory issues on the underlying Amazon Relational Database Service (Amazon RDS) cluster. A resource-starved metadata database may lead to dropped connections from your workers, failing tasks prematurely.

Metadata 112

Metadata Metrics Testing Management 112

DataKitchen

JANUARY 5, 2021

Data Science Workflow – Kubeflow, Python, R. Data Engineering Workflow – Airflow, ETL. Data Visualization, Preparation – Self-service tools sucha as Tableau, Alteryx. Data Governance/Catalog (Metadata management) Workflow – Alation, Collibra, Wikis.

Testing 147

Testing Data Governance Metadata Visualization 147

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. Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time travel, and rollback.

Data Lake 129

Data Lake Data Processing Metadata Snapshot 129

CIO Business Intelligence

OCTOBER 15, 2024

“The data catalog is critical because it’s where business manages its metadata,” said Venkat Rajaji, Senior Vice President of Product Management at Cloudera. There’s been a ton of innovation lately around the Iceberg REST catalog because the data turf war is over. But the metadata turf war is just getting started.”

Metadata 117

Metadata Data Processing Uncertainty Data Warehouse 117

AWS Big Data

JUNE 10, 2024

In this blog post, we dive into different data aspects and how Cloudinary breaks the two concerns of vendor locking and cost efficient data analytics by using Apache Iceberg, Amazon Simple Storage Service (Amazon S3 ), Amazon Athena , Amazon EMR , and AWS Glue. Old metadata files are kept for history by default.

Data Lake 123

Data Lake Metadata Snapshot Analytics 123

AWS Big Data

DECEMBER 4, 2024

The following are the key components and steps in the integration process: Zero-ETL extracts and loads the data into Amazon S3 , a highly scalable object storage service. The data is also registered in the Glue Data Catalog , a metadata repository. Kamen Sharlandjiev is a Sr.

Data Integration 99

Data Integration Data Lake Statistics Data-driven 99

CIO Business Intelligence

SEPTEMBER 23, 2024

For sectors such as industrial manufacturing and energy distribution, metering, and storage, embracing artificial intelligence (AI) and generative AI (GenAI) along with real-time data analytics, instrumentation, automation, and other advanced technologies is the key to meeting the demands of an evolving marketplace, but it’s not without risks.

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Manufacturing Internet of Things Metadata Risk 122

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. She is passionate about data analytics and data science.

Data Warehouse 98

Data Warehouse Reporting Big Data Data Lake 98

Smart Data Collective

SEPTEMBER 26, 2021

The best part about data workflow management is that you can take a task and develop a custom solution to bring clarity to the entire team on what needs to be done and, most importantly, how. It’s a good idea to record metadata. The metadata describes exactly how observations were collected, formatted, and organized.

Metadata 130

Metadata Visualization Unstructured Data Data mining 130

CIO Business Intelligence

MARCH 24, 2023

The program must introduce and support standardization of enterprise data. Programs must support proactive and reactive change management activities for reference data values and the structure/use of master data and metadata.

Data Governance 142

Data Governance Management Metadata Data Quality 142

AWS Big Data

DECEMBER 13, 2023

The AWS Glue Studio visual editor is a low-code environment that allows you to compose data transformation workflows, seamlessly run them on the AWS Glue Apache Spark-based serverless data integration engine, and inspect the schema and data results in each step of the job.

Metadata 103

Metadata Data Lake Visualization Data Quality 103

DataKitchen

OCTOBER 11, 2021

The biggest challenge is broken data pipelines due to highly manual processes. Figure 1 shows a manually executed data analytics pipeline. First, a business analyst consolidates data from some public websites, an SFTP server and some downloaded email attachments, all into Excel. Monitoring Job Metadata.

Testing 152

Testing Metadata Dashboards Statistics 152

AWS Big Data

MARCH 22, 2024

Benchmark setup In our testing, we used the 3 TB dataset stored in Amazon S3 in compressed Parquet format and metadata for databases and tables is stored in the AWS Glue Data Catalog. This benchmark uses unmodified TPC-DS data schema and table relationships. He has been focusing in the big data analytics space since 2014.

Metadata 106

Metadata Statistics Broadcasting Optimization 106