Cloudera

NOVEMBER 13, 2024

Additionally, multiple copies of the same data locked in proprietary systems contribute to version control issues, redundancies, staleness, and management headaches. Founded in 2016, Octopai offers automated solutions for data lineage, data discovery, data catalog, mapping, and impact analysis across complex data environments.

Metadata 90

Metadata Management Data Governance Data-driven 90

CIO Business Intelligence

DECEMBER 11, 2024

According to Richard Kulkarni, Country Manager for Quest, a lack of clarity concerning governance and policy around AI means that employees and teams are finding workarounds to access the technology. Some senior technology leaders fear a Pandoras Box type situation with AI becoming impossible to control once unleashed.

Risk 111

Risk Data Strategy Strategy Data Governance 111

AWS Big Data

OCTOBER 29, 2024

The CDH is used to create, discover, and consume data products through a central metadata catalog, while enforcing permission policies and tightly integrating data engineering, analytics, and machine learning services to streamline the user journey from data to insight. This led to inefficiencies in data governance and access control.

Data Lake 109

Data Lake Sales Metadata Machine Learning 109

AWS Big Data

JANUARY 15, 2025

Their terminal operations rely heavily on seamless data flows and the management of vast volumes of data. Thus, managing data at scale and establishing data-driven decision support across different companies and departments within the EUROGATE Group remains a challenge. This process is shown in the following figure.

IoT 111

IoT Machine Learning Metadata Data-driven 111

Rocket-Powered Data Science

MARCH 20, 2023

Datasphere manages and integrates structured, semi-structured, and unstructured data types. Datasphere provides full-spectrum data governance: metadata management, data catalogs, data privacy, data quality, and data lineage (provenance) tracking. Datasphere is not just for data managers.

Data Warehouse 325

Data Warehouse Metadata Digital Transformation Machine Learning 325

AWS Big Data

NOVEMBER 7, 2024

Amazon Redshift is a fully managed, AI-powered cloud data warehouse that delivers the best price-performance for your analytics workloads at any scale. It enables you to get insights faster without extensive knowledge of your organization’s complex database schema and metadata. Within this feature, user data is secure and private.

Metadata 105

Metadata Sales Data Warehouse Optimization 105

AWS Big Data

NOVEMBER 19, 2024

Organizations of all sizes and types are using generative AI to create products and solutions. They are looking for a reliable and scalable solution to implement robust access controls to make sure these documents are only accessible to individuals who have a legitimate business need and the appropriate level of authorization.

Management 98

Management Metadata Manufacturing Testing 98

AWS Big Data

NOVEMBER 11, 2024

Kinesis Data Streams is a fully managed, serverless data streaming service that stores and ingests various streaming data in real time at any scale. Solution overview In this solution, we consider a common use case for centralized log aggregation for an organization. To create a Kinesis Data Stream, see Create a data stream.

Metadata 122

Metadata Metrics Analytics Data Processing 122

AWS Big Data

NOVEMBER 19, 2024

Amazon Managed Workflows for Apache Airflow (Amazon MWAA), is a managed Apache Airflow service used to extract business insights across an organization by combining, enriching, and transforming data through a series of tasks called a workflow. This approach offers greater flexibility and control over workflow management.

Metadata 111

Metadata Cost-Benefit Metrics Optimization 111

O'Reilly on Data

JANUARY 29, 2019

In order to have a longstanding AI and ML practice, companies need to have data infrastructure in place to collect, transform, store, and manage data. Fifty-eight percent of respondents indicated that they were either building or evaluating data science platform solutions. Data scientists and data engineers are in demand.

Deep Learning 271

Deep Learning Machine Learning Data Science Metadata 271

CIO Business Intelligence

NOVEMBER 19, 2024

Some challenges include data infrastructure that allows scaling and optimizing for AI; data management to inform AI workflows where data lives and how it can be used; and associated data services that help data scientists protect AI workflows and keep their models clean. I’m excited to give you a preview of what’s around the corner for ONTAP.

Management 116

Management Unstructured Data Deep Learning Metadata 116

CIO Business Intelligence

NOVEMBER 27, 2024

As AI adoption accelerates, it demands increasingly vast amounts of data, leading to more users accessing, transferring, and managing it across diverse environments. The platform also offers a deeply integrated set of security and governance technologies, ensuring comprehensive data management and reducing risk.

Data Governance 132

Data Governance Risk Insurance Metadata 132

AWS Big Data

DECEMBER 4, 2024

Recognizing this paradigm shift, ANZ Institutional Division has embarked on a transformative journey to redefine its approach to data management, utilization, and extracting significant business value from data insights. This principle makes sure data accountability remains close to the source, fostering higher data quality and relevance.

Metadata 105

Metadata Data Governance Data Quality Data-driven 105

AWS Big Data

OCTOBER 21, 2024

Let’s briefly describe the capabilities of the AWS services we referred above: AWS Glue is a fully managed, serverless, and scalable extract, transform, and load (ETL) service that simplifies the process of discovering, preparing, and loading data for analytics.

Sales 115

Sales Data-driven Data Processing Key Performance Indicator 115

AWS Big Data

DECEMBER 4, 2024

Zero-ETL is a set of fully managed integrations by AWS that minimizes the need to build ETL data pipelines. We take care of the ETL for you by automating the creation and management of data replication. Zero-ETL provides service-managed replication. Glue ETL offers customer-managed data ingestion. What is zero-ETL?

Data Integration 115

Data Integration Data Lake Statistics Data-driven 115

AWS Big Data

NOVEMBER 6, 2024

When building custom stream processing applications, developers typically face challenges with managing distributed computing at scale that is required to process high throughput data in real time. reduces the Amazon DynamoDB cost associated with KCL by optimizing read operations on the DynamoDB table storing metadata.

Cost-Benefit 116

Cost-Benefit Metadata Optimization Publishing 116

AWS Big Data

DECEMBER 19, 2024

Amazon DataZone , a data management service, helps you catalog, discover, share, and govern data stored across AWS, on-premises systems, and third-party sources. This solution enhances governance and simplifies access to unstructured data assets across the organization. The solution architecture is shown in the following screenshot.

Publishing 97

Publishing Unstructured Data Metadata Data-driven 97

AWS Big Data

DECEMBER 17, 2024

Amazon Redshift scales linearly with the number of users and volume of data, making it an ideal solution for both growing businesses and enterprises. These improvements collectively reinforce Amazon Redshifts focus as a leading cloud data warehouse solution, offering unparalleled performance and value to customers.

Data Lake 98

Data Lake Data Warehouse Data-driven Optimization 98

O'Reilly on Data

APRIL 2, 2019

About 10 months ago, Databricks announced MLflow , a new open source project for managing machine learning development (full disclosure: Ben Lorica is an advisor to Databricks). MLflow is being used to manage multi-step machine learning pipelines. Traditional software developers have long had tools for managing their projects.

Machine Learning 270

Machine Learning Modeling Data Science Software 270

AWS Big Data

DECEMBER 4, 2024

Open table formats are emerging in the rapidly evolving domain of big data management, fundamentally altering the landscape of data storage and analysis. The adoption of open table formats is a crucial consideration for organizations looking to optimize their data management practices and extract maximum value from their data.

Snapshot 84

Snapshot Metadata Data Lake Optimization 84

O'Reilly on Data

MARCH 22, 2019

While neither of these is a complete solution, I can imagine a future version of these proposals that standardizes metadata so data routing protocols can determine which flows are appropriate and which aren't. Whatever solutions we end up with, we must not fall in love with the tools.

Metadata 274

Metadata Advertising Insurance Modeling 274

AWS Big Data

OCTOBER 30, 2024

With this launch of JDBC connectivity, Amazon DataZone expands its support for data users, including analysts and scientists, allowing them to work in their preferred environments—whether it’s SQL Workbench, Domino, or Amazon-native solutions—while ensuring secure, governed access within Amazon DataZone.

Visualization 119

Visualization Data Lake Testing Data Governance 119

AWS Big Data

DECEMBER 10, 2024

As organizations increasingly adopt cloud-based solutions and centralized identity management, the need for seamless and secure access to data warehouses like Amazon Redshift becomes crucial. federated users to access the AWS Management Console. From there, the user can access the Redshift Query Editor V2.

Sales 105

Sales Metadata Enterprise Testing 105

AWS Big Data

OCTOBER 23, 2024

Amazon Managed Workflows for Apache Airflow (Amazon MWAA) is a fully managed service that builds upon Apache Airflow, offering its benefits while eliminating the need for you to set up, operate, and maintain the underlying infrastructure, reducing operational overhead while increasing security and resilience.

Interactive 115

Interactive Testing Data-driven Data Lake 115

O'Reilly on Data

DECEMBER 19, 2018

In a previous post , we talked about applications of machine learning (ML) to software development, which included a tour through sample tools in data science and for managing data infrastructure. We have great tools for working with code: creating it, managing it, testing it, and deploying it. The tools for Software 2.0

Machine Learning 279

Machine Learning Software Metadata Testing 279

O'Reilly on Data

MAY 21, 2019

In our own conferences, we see strong interest in training sessions and tutorials on deep learning for time series and natural language processing—two areas where organizations likely already have existing solutions, and for which deep learning is beginning to show some promise. and managed services in the cloud.

Machine Learning 279

Machine Learning Technology Deep Learning Data Science 279

AWS Big Data

MAY 2, 2025

The visual designer is recommended for helping you manage workflow projects. A solution requires the following: An ingest flow to generate text embeddings (vectors) from text in an existing index. Lets compare our semantic and keyword solutions from the search comparison tool. Flows are a pipeline of processor resources.

Machine Learning 88

Machine Learning Visualization Dashboards Metadata 88

AWS Big Data

JULY 29, 2024

Monitoring and tracking issues in the data management lifecycle are essential for achieving operational excellence in data lakes. This is where Apache Iceberg comes into play, offering a new approach to data lake management. You will learn about an open-source solution that can collect important metrics from the Iceberg metadata layer.

Metadata 126

Metadata Snapshot Data Lake Metrics 126

O'Reilly on Data

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools.

Management 363

Management Machine Learning Experimentation Metrics 363

AWS Big Data

DECEMBER 4, 2024

SageMaker helps you work faster and smarter with your data and build powerful analytics and AI solutions that are deeply rooted in your unique data assets, giving you an edge over the competition. We’ve simplified data architectures, saving you time and costs on unnecessary data movement, data duplication, and custom solutions.

Data Analytics 104

Data Analytics Analytics Data Lake Data Quality 104

AWS Big Data

NOVEMBER 7, 2024

This post explores how you can use BladeBridge , a leading data environment modernization solution, to simplify and accelerate the migration of SQL code from BigQuery to Amazon Redshift. BladeBridge provides a configurable framework to seamlessly convert legacy metadata and code into more modern services such as Amazon Redshift.

Data Warehouse 105

Data Warehouse Reporting Big Data Data Lake 105

CIO Business Intelligence

JANUARY 9, 2025

These required specialized roles and teams to collect domain-specific data, prepare features, label data, retrain and manage the entire lifecycle of a model. Take, for example, an app for recording and managing travel expenses. The system then offers them more precise solutions or forwards them to the appropriate support staff.

Software 128

Software Enterprise Key Performance Indicator Machine Learning 128

CIO Business Intelligence

APRIL 8, 2025

As data-centric AI, automated metadata management and privacy-aware data sharing mature, the opportunity to embed data quality into the enterprises core has never been more significant. Instead, organizations resort to manual workarounds often managed by overburdened analysts or domain experts.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

AWS Big Data

OCTOBER 25, 2023

Why it’s challenging to process and manage unstructured data Unstructured data makes up a large proportion of the data in the enterprise that can’t be stored in a traditional relational database management systems (RDBMS). You can integrate different technologies or tools to build a solution.

Unstructured Data 133

Unstructured Data Metadata Management Analytics 133

AWS Big Data

SEPTEMBER 12, 2024

The AWS Glue Data Catalog now enhances managed table optimization of Apache Iceberg tables by automatically removing data files that are no longer needed. Along with the Glue Data Catalog’s automated compaction feature, these storage optimizations can help you reduce metadata overhead, control storage costs, and improve query performance.

Optimization 129

Optimization Snapshot Metadata Metrics 129

CIO Business Intelligence

SEPTEMBER 6, 2024

As artificial intelligence (AI) and machine learning (ML) continue to reshape industries, robust data management has become essential for organizations of all sizes. This means organizations must cover their bases in all areas surrounding data management including security, regulations, efficiency, and architecture.

Metadata 116

Metadata Enterprise Management Cost-Benefit 116

AWS Big Data

APRIL 24, 2025

Amazon SageMaker Lakehouse now supports attribute-based access control (ABAC) with AWS Lake Formation , using AWS Identity and Access Management (IAM) principals and session tags to simplify data access, grant creation, and maintenance. You can then query, analyze, and join the data using Redshift, Amazon Athena , Amazon EMR , and AWS Glue.

Sales 89

Sales Data Lake Management Data-driven 89