Alation

AUGUST 18, 2022

In this blog, I am drilling into something I’ve been thinking about and studying for a long time: fundamental approaches to lineage creation and maintenance. 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.

Metadata 69

Metadata Visualization Statistics Data Architecture 69

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

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

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 102

Data Lake Analytics Cost-Benefit Management 102

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

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

Ontotext

DECEMBER 16, 2020

At the end of an unconventional year, we at Ontotext still want to honor our tradition and provide our readers with a round-up of the most popular posts on our blog. In its third generation, Ontotext Platform enables organizations to build, use and evolve knowledge graphs as a hub for data, metadata and content.

Metadata 52

Metadata Unstructured Data Visualization Enterprise 52

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

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

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

Octopai

JANUARY 31, 2021

Our list of Top 10 Data Lineage Podcasts, Blogs, and Websites To Follow in 2021. The particular episode we recommend looks at how WeWork struggled with understanding their data lineage so they created a metadata repository to increase visibility. The post Top 10 Data Lineage Podcasts, Blogs, and Magazines appeared first on Octopai.

Data Governance 57

Data Governance Data Processing Data Quality Metadata 57

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 105

Data Lake Metadata Snapshot Recreation/Entertainment 105

Data Virtualization

MARCH 28, 2024

As noted in the Gartner Hype Cycle for Finance Data and Analytics Governance, 2023, “Through. The post My Understanding of the Gartner® Hype Cycle™ for Finance Data and Analytics Governance, 2023 appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Finance 69

Finance Digital Transformation Analytics Data Integration 69

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. Subscribe to Alation's Blog Get the latest data cataloging news and trends in your inbox.

Data Analytics 52

Data Analytics Analytics Metadata Data Governance 52

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 93

Metadata Statistics Broadcasting Optimization 93

Octopai

OCTOBER 12, 2020

Organizations are turning to the cloud and automated metadata management tools to successfully manage their business’s data. As Jason Lemkin of Saastr so accurately put it in his blog article, The ‘Covid Boost’ for SaaS Will Last Years , “We are all living and working in the cloud.” One word for you: Cloud.

Metadata 52

Metadata Management Reporting Sales 52

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. Apache Iceberg integration is supported by AWS analytics services including Amazon EMR , Amazon Athena , and AWS Glue. Starting with Amazon EMR version 6.5.0,

Data Lake 119

Data Lake Data Processing Metadata Snapshot 119

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 109

Analytics Digital Transformation Risk Forecasting 109

Ontotext

MARCH 13, 2024

Through Ontotext Metadata Studio (OMDS), we then apply semantic content enrichment using text analysis based on our marketing vocabularies. OMDS shows the collections of all the documents we currently have, such as blog posts, events, news articles, etc. The behind-the-scenes interface Let’s see how this works.

Marketing 72

Marketing Knowledge Discovery Metadata Data-driven 72

Cloudera

APRIL 2, 2024

Our use of metadata also ensures persistent context across all analytics and cloud environments, making it easier to maintain consistent security policies and access controls. The post FedRAMP In Process Designation, A Milestone in Cybersecurity Commitment appeared first on Cloudera Blog.

Metadata 100

Metadata Measurement Management Enterprise 100

AWS Big Data

JANUARY 8, 2024

This is the first post to a blog series that offers common architectural patterns in building real-time data streaming infrastructures using Kinesis Data Streams for a wide range of use cases. In this post, we will review the common architectural patterns of two use cases: Time Series Data Analysis and Event Driven Microservices.

Analytics 115

Analytics IoT Data-driven Snapshot 115

erwin

DECEMBER 20, 2018

With that in mind, we’ve compiled a list of the very best, best-practice blog posts from the erwin Experts in 2018. www.erwin.com/blog/defining-data-governance/. www.erwin.com/blog/top-6-benefits-of-data-governance/. www.erwin.com/blog/data-governance-readiness/. www.erwin.com/blog/data-governance-and-gdpr/.

Data Governance 40

Data Governance ROI Risk Management Metadata 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

Timo Elliott

JANUARY 6, 2022

In a previous blog , I explored the value of dark data and how it can reveal insights that can streamline processes, improve customer experiences, generate more revenue – and maybe even help make the world a better place. Analyze your metadata. The data you’ve collected and saved over the years isn’t free. Use people.

IT 133

IT Metadata Data-driven Data Governance 133

Andrew White

DECEMBER 9, 2019

The client had recently engaged with a well-known consulting company that had recommended a large data catalog effort to collect all enterprise metadata to help identify all data and business issues. Modern data (and analytics) governance does not necessarily need: Wall-to-wall discovery of your data and metadata. Images (i.e.

Analytics 66

Analytics Data Lake Data Governance Metadata 66

AWS Big Data

JUNE 15, 2023

AWS Glue crawlers extract the data schema and partitions from Amazon S3 to automatically populate the Data Catalog, keeping the metadata current. Because analytics services like Amazon Athena query a table containing millions of partitions, the time needed to retrieve the partition increases and can cause query runtime to increase.

Data Lake 89

Data Lake Metadata Cost-Benefit Management 89

Rocket-Powered Data Science

JULY 6, 2021

If you include the title of this blog, you were just presented with 13 examples of heteronyms in the preceding paragraphs. This is accomplished through tags, annotations, and metadata (TAM). Smart content includes labeled (tagged, annotated) metadata (TAM). What you have just experienced is a plethora of heteronyms.

Strategy 266

Strategy Machine Learning Metadata Knowledge Discovery 266

AWS Big Data

OCTOBER 3, 2023

Iceberg tables store metadata in manifest files. As the number of data files increase, the amount of metadata stored in these manifest files also increases, leading to longer query planning time. The query runtime also increases because it’s proportional to the number of data or metadata file read operations.

Optimization 112

Optimization Snapshot Data Lake Metadata 112

Sisense

JULY 24, 2019

In my previous blog , I wrote about Natural Language Query (NLQ, or search analytics for some), as one of the major topics that we, the AI group in Sisense, are working on. NLQ is one of the oldest AI disciplines, but we’ve only recently started hearing about it in conjunction with BI and analytics.

Analytics 89

Analytics Experimentation Metadata Big Data 89

AWS Big Data

FEBRUARY 12, 2024

As mentioned in the previous blog, AWS Clean Rooms enables multiple organizations to analyze their data and unlock insights they can act upon, without having to share sensitive, restricted, or proprietary records. When the status changes to SUCCESS, it proceeds to the next step to retrieve the AWS Glue table metadata information.

Publishing 93

Publishing Dashboards Metadata Visualization 93

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

Cloudera

AUGUST 10, 2021

Enhanced analytic features that deliver faster SQL queries and ETL with Hive on Tez and Impala, improved Spark with support for Spark 3.1 We expand on this feature later in this blog. x, as well as documented rollback procedures to help customers with their move to CDP PvC Base, as mentioned in the blog introduction. .

Metadata 97

Metadata Sales Statistics Management 97

AWS Big Data

JUNE 6, 2023

This is a guest blog post by Mira Daniels and Sean Whitfield from SumUp. In this post we showcase how we used AWS Glue to move siloed digital analytics data, with inconsistent arrival times, to AWS S3 (our Data Lake) and our central data warehouse (DWH), Snowflake. For more information, please visit sumup.co.uk.

Analytics 56

Analytics Data Lake Testing Optimization 56

Alation

FEBRUARY 20, 2020

Today, we’re excited to announce that Salesforce is bringing the collaborative power of data cataloging to its users with the integration of Einstein Analytics and the Alation Data Catalog. These recommendations organize the data about your data — what the industry for many years has called metadata. What makes this work?

Metadata 52

Metadata Analytics Dashboards Sales 52

Alation

FEBRUARY 13, 2020

Earlier this month in London, more than 1,600 data and analytics leaders and professionals gathered for the Gartner Data & Analytics Summit. Gartner, Magic Quadrant for Metadata Management Solutions, Guido De Simoni, Alan Dayley, Roxane Edjlali, 9 August 2018 . Subscribe to Alation's Blog.

Machine Learning 52

Machine Learning Data Analytics Analytics Metadata 52

Ontotext

JANUARY 29, 2024

The generative AI buzz and interest in cloud migration shouldn’t be ignored, but as with any technology that requires data strategy, it’s critical that data and analytics professionals be crystal clear about their priorities and confident in the projects that will positively impact their business and goals.

Strategy 52

Strategy Management Metadata Data-driven 52

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. An AWS Glue Python shell job used to extract the metadata from Google BigQuery.

Metadata 112

Metadata Data Warehouse Big Data Testing 112