Cloudera

APRIL 18, 2024

In those discussions, it was clear that everyone understood the need to treat data estates more cohesively as a whole—that means bringing more attention to security, data governance, and metadata management, the latter of which has become increasingly popular. Here are a couple of the biggest takeaways we had from our time at the event.

Analytics 104

Analytics Metadata Data Strategy Optimization 104

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

Octopai

SEPTEMBER 14, 2020

Modern data processing depends on metadata management to power enhanced business intelligence. Metadata is of course the information about the data, and the process of managing it is mysterious to those not trained in advanced BI. In this article, you will learn: What does metadata management do? What is metadata management?

Metadata 52

Metadata Management Data Processing Machine Learning 52

Octopai

JUNE 26, 2020

Steve needed a robust and automated metadata management solution as part of his organization’s data governance strategy. Metadata in data governance. What many enterprises have not yet come to terms with when implementing their data governance strategy and supporting tools, is the criticality of metadata in the process.

Metadata 84

Metadata Data Governance Enterprise Reporting 84

Ontotext

AUGUST 19, 2020

Metadata used to be a secret shared between system programmers and the data. Metadata described the data in terms of cardinality, data types such as strings vs integers, and primary or foreign key relationships. Inevitably, the information that could and needed to be expressed by metadata increased in complexity.

Metadata 59

Metadata Knowledge Discovery Cost-Benefit Data Governance 59

erwin

NOVEMBER 6, 2019

According to IDC’s “Data Intelligence in Context” Technology Spotlight sponsored by erwin, “professionals who work with data spend 80 percent of their time looking for and preparing data and only 20 percent of their time on analytics.”. The post Metadata Management, Data Governance and Automation appeared first on erwin, Inc.

Metadata 102

Metadata Data Governance Management Cost-Benefit 102

Octopai

DECEMBER 22, 2019

As 2019 comes to a close, we think it’s the perfect time to review trends in metadata management as well as look at some of Octopai’s own highlights. Metadata is everywhere and its success depends on deploying the right resources for its management. Named by Solutions Review as an Analytics Vendor to Watch, 2020.

Metadata 54

Metadata Management OLAP Data Governance 54

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 52

Metadata Data Governance Digital Transformation Data Quality 52

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 186

Data-driven Enterprise Analytics Machine Learning 186

Timo Elliott

NOVEMBER 21, 2022

Last week I was in beautiful Sydney, Australia for the Gartner Data and Analytics Conference. For the last 30 years, whenever you want to do analytics, the first step is to rip it out of the operational applications and try and move it to a different environment—so data warehousing, data lakes, data lakehouses and now data clouds.

Data Analytics 98

Data Analytics Analytics Recreation/Entertainment Data Lake 98

Octopai

APRIL 19, 2021

Aptly named, metadata management is the process in which BI and Analytics teams manage metadata, which is the data that describes other data. In other words, data is the context and metadata is the content. Without metadata, BI teams are unable to understand the data’s full story. Donna Burbank.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

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. – Gartner, Inc.,

Metadata 52

Metadata Management Data-driven Data Governance 52

Smarten

JANUARY 30, 2024

Business users cannot even hope to prepare data for analytics – at least not without the right tools. Gartner predicts that, ‘data preparation will be utilized in more than 70% of new data integration projects for analytics and data science.’ So, why is there so much attention paid to the task of data preparation? It’s simple.

Analytics 67

Analytics Data Quality Visualization Metadata 67

Alation

FEBRUARY 13, 2020

In an earlier blog, I defined a data catalog as “a collection of metadata, combined with data management and search tools, that helps analysts and other data users to find the data that they need, serves as an inventory of available data, and provides information to evaluate fitness data for intended uses.”.

Metadata 52

Metadata Management Data Lake Data Governance 52

Alation

AUGUST 18, 2022

I’m convinced that a fundamental shift in approach to lineage is needed to drive both the value of data (and the analytics culture) to a new level of effectiveness. Active metadata will play a critical role in automating such updates as they arise. Simply put, I find it fascinating! What Is Data Lineage Creation & Maintenance?

Metadata 69

Metadata Visualization Statistics Data Architecture 69

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 97

Data Lake Analytics Cost-Benefit Management 97

Octopai

FEBRUARY 12, 2020

Like any good puzzle, metadata management comes with a lot of complex variables. That’s why you need to use data dictionary tools, which can help organize your metadata into an archive that can be navigated with ease and from which you can derive good information to power informed decision-making. Download Now.

Metadata 54

Metadata Enterprise Management Data Warehouse 54

Smart Data Collective

MARCH 19, 2023

Paul Glen of IBM’s Business Analytics wrote an article titled “ The Role of Predictive Analytics in the Dropshipping Industry.” ” Glen shares some very important insights on the benefits of utilizing predictive analytics to optimize a dropshipping commpany. The dropshipping industry is among them.

Predictive Analytics 128

Predictive Analytics Analytics Manufacturing Advertising 128

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. You can now analyze infrequently queried data in cloud object stores and simultaneously use the operational analytics and visualization capabilities of OpenSearch Service.

Data Lake 109

Data Lake Analytics Dashboards Metrics 109

AWS Big Data

MARCH 4, 2024

As enterprises collect increasing amounts of data from various sources, the structure and organization of that data often need to change over time to meet evolving analytical needs. For example, an ecommerce company may add new customer demographic attributes or order status flags to enrich analytics.

Snapshot 108

Snapshot Data Lake Metadata Recreation/Entertainment 108

AWS Big Data

APRIL 3, 2024

Customers are using AWS and Snowflake to develop purpose-built data architectures that provide the performance required for modern analytics and artificial intelligence (AI) use cases. AWS provides integrations for various AWS services with Iceberg tables as well, including AWS Glue Data Catalog for tracking table metadata.

Data Lake 91

Data Lake Snapshot Metadata Data Architecture 91

Octopai

SEPTEMBER 22, 2019

– All types of insurance companies are leveraging data analytics to detect and prosecute fraud. Insurance Metadata Management. The keys to proper insurance data managemen t are data governance and metadata management. Data Governance and Metadata Management for the Insurance Industry.

Metadata 41

Metadata Insurance Management Data Governance 41

Octopai

OCTOBER 12, 2020

Organizations are turning to the cloud and automated metadata management tools to successfully manage their business’s data. Hear real use cases of BI teams who are leveraging metadata management automation on the cloud while working remotely Check out our webinar "BI During COVID-19." One word for you: Cloud. Watch the Webinar.

Metadata 52

Metadata Management Reporting Sales 52

Alation

MARCH 31, 2023

I’m talking about not just Walt Disney World, but also this year’s Gartner Data & Analytics Summit , which took place last month in Orlando at the landmark resort. The active metadata helix Indeed, automation was on everyone’s minds. It’s the place where dreams come true. We couldn’t agree more.

Data Analytics 52

Data Analytics Analytics Metadata Data Governance 52

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 90

Metadata Metrics Testing Management 90

Alation

MAY 19, 2022

Alation attended last week’s Gartner Data and Analytics Summit in London from May 9 – 11, 2022. Gartner Data & Analytics Summit 2022: Keynote Highlights. Active metadata gives you crucial context around what data you have and how to use it wisely. These are three areas in which analytics is rapidly advancing.

Metadata 52

Metadata Data Analytics Analytics Data Governance 52

David Menninger's Analyst Perspectives

SEPTEMBER 28, 2021

Collibra is a data governance software company that offers tools for metadata management and data cataloging. The software enables organizations to find data quickly, identify its source and assure its integrity. Line-of-business workers can use it to create, review and update the organization's policies on different data assets.

Data Governance 346

Data Governance Metadata Software Management 346

Octopai

MAY 13, 2019

These processes often rely on humans performing manual discovery and documentation tasks for: – Metadata management – ETL specifications – Report definitions – Reporting errors – Changes to calculations …and many other aspects of the data environment. That something has to do with metadata management.

Metadata 40

Metadata Management Reporting Dashboards 40

Ontotext

APRIL 10, 2024

In most enterprises data teams lack a data map and data asset inventory and are often unaware of data that exists across the organization, its associated profile, quality and associated metadata. Proliferation of data catalogs across vendors creates metadata silos and does little to connect the data semantically.

Metadata 52

Metadata Data Lake Data Warehouse Data Quality 52

AWS Big Data

MARCH 13, 2024

Data analytics – Business analysts gather operational insights from multiple data sources, including the location data collected from the vehicles. The Data Catalog provides metadata that allows analytics applications using Athena to find, read, and process the location data stored in Amazon S3. Choose Run.

Analytics 91

Analytics IoT Metadata Internet of Things 91

Cloudera

AUGUST 3, 2021

Advanced analytics empower risk reduction . Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Improve Visibility within Supply Chains.

Analytics 107

Analytics Digital Transformation Risk Forecasting 107

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 80

Data Warehouse Analytics Metadata Dashboards 80

AWS Big Data

OCTOBER 3, 2023

You can store your data as-is, without having to first structure the data and then run different types of analytics for better business insights. Analytics use cases on data lakes are always evolving. In this method, the metadata are recreated in an isolated environment and colocated with the existing data files.

Data Lake 98

Data Lake Metadata Snapshot Recreation/Entertainment 98

AWS Big Data

MARCH 22, 2024

Trino is an open source distributed SQL query engine designed for interactive analytic workloads. 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. With Amazon EMR 6.10.0

Metadata 86

Metadata Statistics Broadcasting Optimization 86

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. This reference architecture partly combines a data hub and data lake to enable comprehensive analytics services.

Analytics 68

Analytics Data Warehouse Data Lake Metadata 68

AWS Big Data

DECEMBER 5, 2023

This cut down significantly on analytical turnaround times. The CARTO Analytics Toolbox for Redshift is composed of a set of user-defined functions and procedures organized in a set of modules based on the functionality they offer. These table definitions are used as the metadata repository for external tables in Amazon Redshift.

Measurement 79

Measurement Dashboards Data Warehouse Analytics 79