Data Science Blog

NOVEMBER 15, 2023

Storing the Object-Centrc Analytical Data Model on Data Mesh Architecture Central data models, particularly when used in a Data Mesh in the Enterprise Cloud, are highly beneficial for Process Mining, Business Intelligence, Data Science, and AI Training. Click to enlarge!

Data Models 245

Data Models Data Modeling Business Intelligence Business Intelligence 245

AWS Machine Learning Blog

NOVEMBER 16, 2023

This is a joint blog with AWS and Philips. Since 2014, the company has been offering customers its Philips HealthSuite Platform, which orchestrates dozens of AWS services that healthcare and life sciences companies use to improve patient care. Data Management – Efficient data management is crucial for AI/ML platforms.

ML 105

ML ML AWS AI 105

IBM Journey to AI blog

MAY 9, 2023

The solution will help businesses harness their increasingly siloed data and apply advanced AI and analytics to derive actionable insights, all while supporting robust data governance and observability throughout the data management life cycle. The solution will also be available in AWS Marketplace.

Data Warehouse 92

Data Warehouse AWS AI AI 92

Smart Data Collective

APRIL 24, 2023

Innovations in the early 20th century changed how data could be used. Google’s Hadoop allowed for unlimited data storage on inexpensive servers, which we now call the Cloud. Data brokers have over 3,000 profiles on each individual, including personal information like political preferences and hobbies.

Big Data 119

Big Data Big Data Hadoop Azure 119

Precisely

JANUARY 25, 2024

There are three potential approaches to mainframe modernization: Data Replication creates a duplicate copy of mainframe data in a cloud data warehouse or data lake, enabling high-performance analytics virtually in real time, without negatively impacting mainframe performance. Best Practice 5.

Data Governance 69

Data Governance Database Cloud Data Data Lakes 69

phData

APRIL 29, 2024

Understanding Fivetran Fivetran is a popular Software-as-a-Service platform that enables users to automate the movement of data and ETL processes across diverse sources to a target destination. The phData team achieved a major milestone by successfully setting up a secure end-to-end data pipeline for a substantial healthcare enterprise.

SQL 52

SQL Data Warehouse Azure Cloud Data 52

Pickl AI

OCTOBER 15, 2024

Talend Talend is a leading open-source ETL platform that offers comprehensive solutions for data integration, data quality , and cloud data management. It supports both batch and real-time data processing , making it highly versatile. It is well known for its data provenance and seamless data routing capabilities.

ETL 52

ETL Azure AWS Data Governance 52

Alation

APRIL 7, 2021

Powered by the industry’s broadest and deepest connectivity, the Alation Data Catalog supports data intelligence use cases across an organization’s de facto hybrid cloud environments. Alation’s cloud offering delivers these same benefits, now available as a service. Alation Cloud Service is available on AWS.

Data Governance 52

Data Governance AWS Data Silos Data Lakes 52

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

MAY 13, 2024

As enterprise technology landscapes grow more complex, the role of data integration is more critical than ever before. Whether it’s a cloud data warehouse or a mainframe, look for vendors who have a wide range of capabilities that can adapt to your changing needs. What data governance controls do your solutions have in place?

Data Governance 52

Data Governance Data Pipeline Cloud Data Data Quality 52

Precisely

MARCH 14, 2023

First, private cloud infrastructure providers like Amazon (AWS), Microsoft (Azure), and Google (GCP) began by offering more cost-effective and elastic resources for fast access to infrastructure. But early adopters realized that the expertise and hardware needed to manage these systems properly were complex and expensive.

Data Quality 52

Data Quality Cloud Data Data Pipeline Data Observability 52

Alation

MARCH 1, 2022

Airline Reporting Corporation (ARC) sells data products to travel agencies and airlines. Lineage helps them identify the source of bad data to fix the problem fast. Manual lineage will give ARC a fuller picture of how data was created between AWS S3 data lake, Snowflake cloud data warehouse and Tableau (and how it can be fixed).

Data Warehouse 52

Data Warehouse Data Lakes Cloud Data Database 52

Alation

FEBRUARY 8, 2022

Making the experts responsible for service streamlines the data-request pipeline, delivering higher quality data into the hands of those who need it more rapidly. Some argue that data governance and quality practices may vary between domains. Interoperable and governed by global standards. This is changing.

Data Governance 52

Data Governance Data Engineer Data Engineering Data Engineering 52

phData

MAY 31, 2023

The Snowflake Data Cloud is a powerful and industry-leading cloud data platform. It also offers enhanced control and governance mechanisms, crucial for organizations prioritizing compliance and data governance. provider} (e.g., Warehouse: I recommend using a dedicated virtual warehouse.

SQL 52

SQL Database Cloud Data Data Governance 52

Women in Big Data

DECEMBER 9, 2024

Its costs are associated with its enterprise-focused features and advanced data modeling capabilities. Lookers value is significant for organizations with complex data needs and a focus on data governance. Compared to Power BI or Tableau, it has fewer pre-built connectors outside the Google Cloud ecosystem.

Big Data 52

Big Data Big Data Power BI Tableau 52

Alation

MARCH 22, 2022

IDF works natively on cloud platforms like AWS. It leverages the power of serverless (and managed) services to automate and build data and analytics pipelines; IDF uses a point-and-click, zero-code approach with pipeline blueprints (patterns), such as the one below.

DataOps 52

DataOps Data Pipeline Data Engineering Data Engineering 52

phData

JULY 18, 2023

With the birth of cloud data warehouses, data applications, and generative AI , processing large volumes of data faster and cheaper is more approachable and desired than ever. First up, let’s dive into the foundation of every Modern Data Stack, a cloud-based data warehouse.

Data Warehouse 52

Data Warehouse Analytics Analytics Cloud Data 52

Alation

DECEMBER 14, 2021

What is cloud-native? Cloud-native systems are constructed in the cloud from scratch to harness the power of such popular public cloud environments like AWS or Azure; these systems give developers new and advanced deployment tools that allow for a more rapid evolution of the enterprise’s overall architecture.

Cloud Computing 52

Cloud Computing Azure AWS Data Quality 52

Data Science Blog

MAY 15, 2023

Darüber hinaus können Data Governance- und Sicherheitsrichtlinien auf die Daten in einem Data Lakehouse angewendet werden, um die Datenqualität und die Einhaltung von Vorschriften zu gewährleisten. Wenn Ihre Analyse jedoch eine gewisse Latenzzeit tolerieren kann, könnte ein Data Warehouse die bessere Wahl sein.

Data Warehouse 147

Data Warehouse Data Lakes Azure AWS 147

Data Science Blog

SEPTEMBER 3, 2024

Einfachere Data Governance , denn eine zentrale Datenschicht zwischen den Applikationen erleichtert die Übersicht und die Aussteuerung der Datenzugriffsberechtigung. Reduzierte Cloud Kosten , denn Cloud Tools berechnen Gebühren für die Speicherung von Daten.

Data Science 130

Data Science Power BI Azure Data Warehouse 130