insideBIGDATA

AUGUST 16, 2024

Data API and GraphQL leader Hasura announced significant innovations that enable unified access to distributed data, governed by a central semantic and authorization framework.

Data Governance 195

Data Governance AI AI Big Data 195

AWS Machine Learning Blog

AUGUST 21, 2024

The sample dataset Upload the dataset to Amazon S3 and crawl the data to create an AWS Glue database and tables. For instructions to catalog the data, refer to Populating the AWS Glue Data Catalog. This integration provides a powerful solution for data governance, collaboration, and reusability across ML projects.

Machine Learning 128

Machine Learning Machine Learning Data Governance ML 128

Flipboard

NOVEMBER 27, 2024

The ingestion pipeline (3) ingests metadata (1) from services (2), including Amazon DataZone, AWS Glue, and Amazon Athena , to a Neptune database after converting the JSON response from the service APIs into an RDF triple format. For more details about RDF data format, refer to the W3C documentation. raw_customer". account } WHERE { ?asset

AWS 149

AWS Database ML ML 149

Dataversity

NOVEMBER 11, 2024

The recent meltdown of 23andme and what might become of their DNA database got me thinking about this question: What happens to your data when a company goes bankrupt? To say the past year has been a tough one for 23andme is an understatement.

Database 105

Database Data Governance Data Quality 105

The Data Administration Newsletter

AUGUST 2, 2022

Data archiving is an important aspect of data governance and data management. Not only does archiving help to reduce hardware and storage costs, but it is also an important aspect of long-term data retention and a key participant in regu­latory compliance efforts.

Database 88

Database Data Governance Big Data Big Data 88

The Data Administration Newsletter

DECEMBER 2, 2020

Ensuring data quality is an important aspect of data management and these days, DBAs are increasingly being called upon to deal with the quality of the data in their database systems more than ever before. The importance of quality data cannot be overstated.

Data Quality 90

Data Quality Data Governance Database 90

IBM Data Science in Practice

JUNE 5, 2025

This new capability allows the user to define default configurations for data quality rules within a project, eliminating redundancy and ensuring consistency across all rules. While the feature may appear simple, it addresses a long-standing need in enterprise data governance.

Data Quality 130

Data Quality Data Governance Data Science Database 130

IBM Journey to AI blog

MARCH 14, 2024

The existence of data silos and duplication, alongside apprehensions regarding data quality, presents a multifaceted environment for organizations to manage. Also, traditional database management tasks, including backups, upgrades and routine maintenance drain valuable time and resources, hindering innovation.

AWS 93

AWS Database ETL AI 93

Analytics Vidhya

OCTOBER 25, 2023

Introduction Struggling with expanding a business database due to storage, management, and data accessibility issues? To steer growth, employ effective data management strategies and tools. This article explores data management’s key tool features and lists the top tools for 2023.

Database 220

Database Analytics Analytics Data Warehouse 220

Precisely

AUGUST 8, 2023

Data governance is rapidly shifting from a leading-edge practice to a must-have framework for today’s enterprises. Although the term has been around for several decades, it is only now emerging as a widespread practice, as organizations experience the pain and compliance challenges associated with ungoverned data.

Data Governance 52

Data Governance Data Quality Big Data Analytics Big Data Analytics 52

Dataversity

APRIL 23, 2021

Within the Data Management industry, it’s becoming clear that the old model of rounding up massive amounts of data, dumping it into a data lake, and building an API to extract needed information isn’t working. The post Why Graph Databases Are an Essential Choice for Master Data Management appeared first on DATAVERSITY.

Database 90

Database Data Lakes Data Silos Data Governance 90

Precisely

MARCH 13, 2023

Despite that understanding, many organizations lack a clear framework for organizing, managing, and governing their valuable data assets. In many cases, that realization prompts executive leaders to create a data governance program within their company. In many organizations, that simply isn’t the case.

Data Governance 52

Data Governance Data Quality Data Visualization Database 52

Alation

MAY 12, 2022

Whether you have a traditional assembly line or employ the most cutting-edge technology, your most valuable resource is data. Data governance is the foundation on which manufacturers ensure the effective use of valuable data by giving you the ability to handle, manage, and secure your data. Here’s how.

Data Governance 52

Data Governance Internet of Things ML ML 52

Data Science Dojo

FEBRUARY 25, 2025

Giants like OpenAI and Microsoft have also faced numerous lawsuits over data scraping practices (that allegedly caused copyright infringement), raising significant concerns about their approach to data governance and making it increasingly difficult to trust the company with user data.

AI 235

AI AI Data Governance Artificial Intelligence 235

Precisely

SEPTEMBER 6, 2023

.” Poor data quality impedes the success of data programs, hampers data integration efforts, limits data integrity causing big data governance challenges. To truly succeed in an increasingly data-driven world, organizations need data governance. The results are clear.

Data Governance 52

Data Governance Big Data Big Data Data Quality 52

Alation

DECEMBER 15, 2021

Yet high-volume collection makes keeping that foundation sound a challenge, as the amount of data collected by businesses is greater than ever before. An effective data governance strategy is critical for unlocking the full benefits of this information. Data governance requires a system.

Data Governance 52

Data Governance Data Quality Analytics Analytics 52

Dataconomy

MARCH 19, 2025

Canonical schema is a pivotal concept in the world of data management, enabling systems to communicate effectively despite their internal complexities. As organizations increasingly rely on diverse databases and applications, maintaining a consistent model for data interchange becomes essential.

Data Modeling 91

Data Modeling Data Models Database Administration Database 91

Alation

OCTOBER 28, 2021

This data is also a lucrative target for cyber criminals. Healthcare leaders face a quandary: how to use data to support innovation in a way that’s secure and compliant? Data governance in healthcare has emerged as a solution to these challenges. Uncover intelligence from data. Protect data at the source.

Data Governance 52

Data Governance Database Data Quality Data Classification 52

Alation

OCTOBER 4, 2022

At the same time, there’s a growing opportunity to learn from customer data to deliver superior products and services. For these reasons, insurers are adopting data governance solutions for a range of use cases. What is Data Governance in the Insurance Industry? Why is it Important?

Data Governance 52

Data Governance Analytics Analytics Machine Learning 52

Alation

SEPTEMBER 9, 2021

Internal and external auditors work with many different systems to ensure this data is protected accordingly. This is where data governance comes in: A robust program allows banks and financial institutions to use this data to build customer trust and still meet compliance mandates. What is Data Governance in Banking?

Data Governance 52

Data Governance Data Silos Analytics Analytics 52

Flipboard

MAY 30, 2025

A generative AI foundation can provide primitives such as models, vector databases, and guardrails as a service and higher-level services for defining AI workflows, agents and multi-agents, tools, and also a catalog to encourage reuse. Considerations here are choice of vector database, optimizing indexing pipelines, and retrieval strategies.

AWS 141

AWS AI AI Database 141

Dataconomy

DECEMBER 22, 2022

It aims to maximize the business value of data and its underlying infrastructure, both on-premises and in the cloud. DataOps is essential for digital transformation initiatives such as cloud migration, DevOps, open-source database adoption, and data governance. However, DataOps should […].

DataOps 91

DataOps Data Governance Database Data Science 91

Dataconomy

APRIL 11, 2023

Database encryption has become a critical component of data security in today’s digital landscape. As more and more sensitive information is stored in databases, protecting this information from unauthorized access has become a top priority for organizations across industries.

Database 70

Database Data Governance Algorithm Data Science 70

Dataconomy

FEBRUARY 12, 2024

The acronym ETL—Extract, Transform, Load—has long been the linchpin of modern data management, orchestrating the movement and manipulation of data across systems and databases. This methodology has been pivotal in data warehousing, setting the stage for analysis and informed decision-making. Image credit ) 5.

ETL 195

ETL Data Governance Machine Learning Machine Learning 195

Dataconomy

MARCH 20, 2025

With efficient ETL practices, organizations can maintain high data quality and relevant structures. Database replication Alongside ETL, database replication ensures that data marts are updated consistently. Dependent data mart A dependent data mart is tightly integrated with a central data warehouse.

Data Warehouse 91

Data Warehouse ETL Data Quality Database 91

Data Science Blog

NOVEMBER 15, 2023

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. The Event Log Data Model for Process Mining Process Mining as an analytical system can very well be imagined as an iceberg.

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

Alation

JUNE 14, 2021

And third is what factors CIOs and CISOs should consider when evaluating a catalog – especially one used for data governance. The Role of the CISO in Data Governance and Security. They want CISOs putting in place the data governance needed to actively protect data. So CISOs must protect data.

Data Governance 97

Data Governance Data Lakes Data Classification Data Quality 97

Dataconomy

APRIL 21, 2023

Data timeliness: Data timeliness refers to the extent to which the data is up-to-date and available when needed. Outdated or delayed data can result in missed opportunities or incorrect decisions. Cracking the code: How database encryption keeps your data safe? Examples include Informatica and SAP.

Data Quality 182

Data Quality Data Governance Data Visualization Power BI 182

Dataconomy

MAY 27, 2025

An MIS degree does not merely impart programming or database theory but provides students with analytical capacity, leadership potential, and communication prowess to transform technical findings into strategic action. For individuals who aspire to use data to drive positive change, an MIS degree is a solid foundation.

Analytics 91

Analytics Analytics Database Data Warehouse 91

Alation

APRIL 6, 2023

Data governance is traditionally applied to structured data assets that are most often found in databases and information systems. For one, spreadsheets are convenient and a low-cost, user-friendly alternative to larger databases and information systems.

Data Governance 52

Data Governance Database Data Lakes Data Warehouse 52

Data Science Dojo

JANUARY 12, 2023

Data is loaded into the Hadoop Distributed File System (HDFS) and stored on the many computer nodes of a Hadoop cluster in deployments based on the distributed processing architecture. However, instead of using Hadoop, data lakes are increasingly being constructed using cloud object storage services.

Data Lakes 221

Data Lakes Data Warehouse Hadoop Machine Learning 221

Dataversity

FEBRUARY 14, 2022

As we kick off the new year, it’s important to consider the unique challenges facing enterprises when it comes to managing databases. We’ve seen data and databases grow exponentially with each passing year. The post The Rise of Chief Data Officers and the Fall of Database Administrators appeared first on DATAVERSITY.

Database Administration 52

Database Administration Database Data Quality Data Governance 52

AWS Machine Learning Blog

MARCH 25, 2025

You can persist short-term memory in a database like PostgreSQL using either a synchronous or asynchronous connection. However, you need to set up the infrastructure, implement data governance, and enable security and monitoring.

AWS 126

AWS AI AI Data Governance 126

Dataconomy

MAY 26, 2025

Examples include XML files and JSON data, which allow for easier parsing and processing compared to unstructured data. Structured data Structured data is highly organized, typically stored in fixed formats like databases. Examples include numerical data in spreadsheets or customer information stored in CRM systems.

Big Data 91

Big Data Big Data Hadoop Cloud Computing 91

Dataconomy

APRIL 21, 2023

Data timeliness: Data timeliness refers to the extent to which the data is up-to-date and available when needed. Outdated or delayed data can result in missed opportunities or incorrect decisions. Cracking the code: How database encryption keeps your data safe? Examples include Informatica and SAP.

Data Quality 149

Data Quality Data Governance Data Visualization Power BI 149

Dataversity

NOVEMBER 5, 2021

Blockchain is a technology that allows information to be recorded while protecting data against tampering, thereby maintaining integrity. While blockchain records information like a database, it differs from a traditional database in that it stores data in blocks that are linked as chains and are theoretically immutable.

Database 98

Database Data Governance Data Quality 98

Data Science Connect

MARCH 22, 2023

Here’s how to get started If you’re ready to improve your data observability, there are several steps you can take: Identify your data sources: Start by identifying all the data sources in your organization. This could include databases, spreadsheets, APIs, and more.

Data Observability 130

Data Observability Data Governance Analytics Analytics 130