AWS Big Data

OCTOBER 3, 2023

Over the years, data lakes on Amazon Simple Storage Service (Amazon S3) have become the default repository for enterprise data and are a common choice for a large set of users who query data for a variety of analytics and machine leaning use cases. Analytics use cases on data lakes are always evolving.

Data Lake 106

Data Lake Metadata Snapshot Recreation/Entertainment 106

AWS Big Data

NOVEMBER 28, 2023

We think that by automating the undifferentiated parts, we can help our customers increase the pace of their data-driven innovation by breaking down data silos and simplifying data integration.

Data Warehouse 96

Data Warehouse Data-driven Machine Learning B2B 96

IBM Big Data Hub

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. In short, yes.

Data Quality 66

Data Quality Data Integration Metadata Cost-Benefit 66

AWS Big Data

FEBRUARY 9, 2023

For Connection name , enter a name of your choice (for example, Salesforce-blog ). For Connection name , name your connection Snowflake-blog. Create a flow in Amazon AppFlow Now you create a flow in Amazon AppFlow to load the data from Salesforce to Snowflake. From the list of connectors, select Salesforce. Choose Next.

Data Warehouse 79

Data Warehouse Data-driven Snapshot Testing 79

Data Virtualization

MARCH 3, 2021

To remain competitive, organizations must have a data management strategy in place to effectively ingest, store, organize, and analyze data while ensuring that it is. The post Data Management Challenges for the Modern Enterprise appeared first on Data Virtualization blog.

Enterprise 75

Enterprise Management Strategy Data Lake 75

erwin

DECEMBER 12, 2019

Here are some benefits of metadata management for data governance use cases: Better Data Quality: Data issues and inconsistencies within integrated data sources or targets are identified in real time to improve overall data quality by increasing time to insights and/or repair. by up to 70 percent.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

BizAcuity

APRIL 6, 2022

It also means heavy investments on data storage, management, security and speed at which data should be processed. A lot of investments go into data warehousing, big data management and data storage to ensure revenue is not lost due to any glitches or misconfiguration.

Data Analytics 52

Data Analytics Analytics B2B Deep Learning 52

erwin

DECEMBER 12, 2019

Here are some benefits of metadata management for data governance use cases: Better Data Quality: Data issues and inconsistencies within integrated data sources or targets are identified in real time to improve overall data quality by increasing time to insights and/or repair. by up to 70 percent.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

IBM Big Data Hub

MAY 15, 2024

Unified, governed data can also be put to use for various analytical, operational and decision-making purposes. This process is known as data integration, one of the key components to a strong data fabric. The remote execution engine is a fantastic technical development which takes data integration to the next level.

Cost-Benefit 71

Cost-Benefit Data Integration Data Architecture Manufacturing 71

AWS Big Data

SEPTEMBER 7, 2023

It is also crucial to audit granular data access for security and compliance needs. This blog post presents an architecture solution that allows customers to extract key insights from Amazon S3 access logs at scale. Both the user data and logs buckets must be in the same AWS Region and owned by the same account.

Metadata 103

Metadata Dashboards Metrics Visualization 103

AWS Big Data

AUGUST 31, 2023

You can download the files and then use Athena to convert the Parquet dataset into an Iceberg table, or refer to Build an Apache Iceberg data lake using Amazon Athena, Amazon EMR, and AWS Glue blog post to create the Iceberg table. In this post, we use Athena to convert the data.

Data Lake 97

Data Lake Data Warehouse Metadata Data Architecture 97

IBM Big Data Hub

APRIL 27, 2022

Data fabric and data mesh are emerging data management concepts that are meant to address the organizational change and complexities of understanding, governing and working with enterprise data in a hybrid multicloud ecosystem. The good news is that both data architecture concepts are complimentary.

Management 83

Management Metadata Data Architecture Data Lake 83

AWS Big Data

JUNE 7, 2023

This is a guest blog post co-written with Sumesh M R from Cargotec and Tero Karttunen from Knowit Finland. For this, Cargotec built an Amazon Simple Storage Service (Amazon S3) data lake and cataloged the data assets in AWS Glue Data Catalog. Lastly, for more data and analytics blogs, feel free to bookmark the AWS Blog s.

Metadata 56

Metadata Data Lake Machine Learning Big Data 56

AWS Big Data

JULY 20, 2023

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. By decoupling storage and compute, data lakes promote cost-effective storage and processing of big data. Why did Orca choose Apache Iceberg?

Data Lake 89

Data Lake Analytics Snapshot Optimization 89

IBM Big Data Hub

JANUARY 17, 2023

This capability will provide data users with visibility into origin, transformations, and destination of data as it is used to build products. The result is more useful data for decision-making, less hassle and better compliance. Data integration. Start a trial.

Data-driven 56

Data-driven Enterprise Data Governance Prescriptive Analytics 56

Alation

JANUARY 25, 2022

Data fabric is now on the minds of most data management leaders. In our previous blog, Data Mesh vs. Data Fabric: A Love Story , we defined data fabric and outlined its uses and motivations. The data catalog is a foundational layer of the data fabric. Simply put?

Metadata 52

Metadata IT Metrics Data-driven 52

AWS Big Data

APRIL 20, 2023

In a modern data architecture, unified analytics enable you to access the data you need, whether it’s stored in a data lake or a data warehouse. One of the most common use cases for data preparation on Amazon Redshift is to ingest and transform data from different data stores into an Amazon Redshift data warehouse.

Visualization 80

Visualization Data Warehouse Big Data Data Lake 80

Ontotext

MAY 30, 2019

Linked Data and Volume. Speaking about data and volume, it seems apt to start this with the famous saying that “most companies think they have “Big Data” problems while they actually have big “data problems””. Linked Data and Information Retrieval.

Cost-Benefit 87

Cost-Benefit Technology Big Data Metadata 87

IBM Big Data Hub

JUNE 28, 2023

Processing terabytes or even petabytes of increasing complex omics data generated by NGS platforms has necessitated development of omics informatics. IBM delivers this to our business partners through Operating Model Transformation , Tech and Data/AI Strategy , AI at Scale and Genomics Data Architecture offerings.

Informatics 65

Informatics Consulting Cost-Benefit Data Architecture 65

Ontotext

MAY 30, 2019

Linked Data and Volume. Speaking about data and volume, it seems apt to start this with the famous saying that “most companies think they have “Big Data” problems while they actually have big “data problems””. Linked Data and Information Retrieval.

Cost-Benefit 75

Cost-Benefit Technology Big Data Metadata 75

IBM Big Data Hub

JUNE 21, 2022

A data fabric orchestrates various data sources across a hybrid and multicloud landscape to provide business-ready data in support of analytics, AI and other applications. How IBM built its own data fabric . When I rejoined IBM in 2016, enterprise-level data and its use was having a pivotal moment.

Data Strategy 52

Data Strategy Strategy Data-driven Enterprise 52

IBM Big Data Hub

SEPTEMBER 12, 2022

The journey starts with having a multimodal data governance framework that is underpinned by a robust data architecture like data fabric. Without a data catalog, data can remain hidden or unused and become impossible to manage.

Metadata 95

Metadata Data Governance Enterprise Data Architecture 95

IBM Big Data Hub

AUGUST 4, 2023

Today, the way businesses use data is much more fluid; data literate employees use data across hundreds of apps, analyze data for better decision-making, and access data from numerous locations. Security Data security is a high priority.

Data Architecture 62

Data Architecture Data Lake Machine Learning Data Governance 62

IBM Big Data Hub

JULY 7, 2023

Business analytics: Data and insights help knowledge workers make informed decisions and find new opportunities. While Big Data and artificial intelligence (AI) provide the numbers, knowledge workers are key to understanding them. appeared first on IBM Blog.

Cost-Benefit 68

Cost-Benefit Consulting Management Data-driven 68