Octopai

JANUARY 19, 2021

With Octopai’s support and analysis of Azure Data Factory, enterprises can now view complete end-to-end data lineage from Azure Data Factory all the way through to reporting for the first time ever. About Octopai: Octopai was founded in 2015 by BI professionals who realized the need for dynamic solutions in a stagnant market.

Metadata 52

Metadata ROI Optimization Data Quality 52

AWS Big Data

JULY 25, 2023

About Talend Talend is an AWS ISV Partner with the Amazon Redshift Ready Product designation and AWS Competencies in both Data and Analytics and Migration. Talend Cloud combines data integration, data integrity, and data governance in a single, unified platform that makes it easy to collect, transform, clean, govern, and share your data.

Data Analytics 52

Data Analytics Data Warehouse Analytics Data Processing 52

Anmut

APRIL 6, 2022

Now we’d like to discuss how you can start extracting maximum value from your data by taking a closer look at what data asset management looks like in practice. Data asset management is a holistic approach to managing your data assets. Data transformation is a marathon, not a sprint.

Cost-Benefit 52

Cost-Benefit ROI Sales Data-driven 52

Smarten

AUGUST 4, 2023

Gartner predicts that, ‘data preparation will become a critical capability in more than 60% of data integration, analytics/BI, data science, data engineering and data lake enablement platforms.’

Data Lake 52

Data Lake Machine Learning Data Integration Optimization 52

CIO Business Intelligence

NOVEMBER 7, 2023

Given the importance of sharing information among diverse disciplines in the era of digital transformation, this concept is arguably as important as ever. The aim is to normalize, aggregate, and eventually make available to analysts across the organization data that originates in various pockets of the enterprise.

Data Warehouse 142

Data Warehouse Digital Transformation Data-driven Reporting 142

Cloudera

OCTOBER 11, 2021

And most importantly, it democratizes access to end-users, such as Data Engineering teams, Data Science teams, and even citizen data scientists, across the organization while ensuring compliance with data governance policies are met. Cloud Speed and Scale. Modak Nabu TM and CDE’s Spark-on-Kubernetes.

Data Lake 89

Data Lake Cost-Benefit Data-driven Dashboards 89

Alation

NOVEMBER 22, 2022

What Is Data Governance In The Public Sector? Effective data governance for the public sector enables entities to ensure data quality, enhance security, protect privacy, and meet compliance requirements. With so much focus on compliance, democratizing data for self-service analytics can present a challenge.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52

Smarten

JANUARY 4, 2018

So, the idea of data access by business users may cause concern, and the IT staff may wonder whether this access signals the end of the true ETL process along with the comprehensive maintenance and data governance policies. Preserving Traditional ETL.

Data Warehouse 40

Data Warehouse OLAP Data Governance Optimization 40

erwin

MARCH 26, 2020

As a result, we’re seeing the rise of the “citizen analyst,” who brings business knowledge and subject-matter expertise to data-driven insights. Some examples of citizen analysts include the VP of finance who may be looking for opportunities to optimize the top- and bottom-line results for growth and profitability.

Data-driven 90

Data-driven Unstructured Data Enterprise Finance 90

CIO Business Intelligence

JANUARY 24, 2024

Agent Swarms offer a strategic solution: they can autonomously oversee repetitive, rules-based, high-volume tasks, optimizing back-office functions and ensuring regulatory compliance with precision. Identify patterns in customer behavior, predict market trends, optimize inventory management, or flag inefficiencies in operations.

IoT 113

IoT Machine Learning Optimization Internet of Things 113

AWS Big Data

DECEMBER 21, 2023

To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse. In this post, we show how smava optimized their data platform by using Amazon Redshift Serverless and Amazon Redshift data sharing to overcome right-sizing challenges for unpredictable workloads and further improve price-performance.

Data Lake 91

Data Lake Data Warehouse Data-driven B2B 91

IBM Big Data Hub

JUNE 15, 2023

The data lakehouse architecture combines the flexibility, scalability and cost advantages of data lakes with the performance, functionality and usability of data warehouses to deliver optimal price-performance for a variety of data, analytics and AI workloads.

Data Warehouse 91

Data Warehouse Data Lake Optimization Data-driven 91

IBM Big Data Hub

JULY 5, 2023

The challenges of a monolithic data lake architecture Data lakes are, at a high level, single repositories of data at scale. Data may be stored in its raw original form or optimized into a different format suitable for consumption by specialized engines. Comprehensive data security and data governance (i.e.

Data Lake 63

Data Lake Metadata Cost-Benefit Data Warehouse 63

Birst BI

FEBRUARY 25, 2020

However, analytic silos can still be a huge problem if the business intelligence platform paired with Snowflake does not offer the right balance of IT governance and end-user self-service. Customers such as Crossmark , DJO Global and others use Birst with Snowflake to deliver the ultimate modern data architecture.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Architecture Enterprise 52

Jet Global

FEBRUARY 23, 2024

This field guide to data mapping will explore how data mapping connects volumes of data for enhanced decision-making. Why Data Mapping is Important Data mapping is a critical element of any data management initiative, such as data integration, data migration, data transformation, data warehousing, or automation.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52