Astera

AUGUST 8, 2023

You can visualize and explore data intuitively for accuracy and consistency. Reusable Scripts: Astera streamlines data preparation with efficient, reusable scripts across workflows, promoting automation, efficiency, and consistency. Additionally, a few users have reported encountering issues with the data-matching algorithm.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52

Smart Data Collective

DECEMBER 11, 2019

In 2013, Wired published a very interesting article about the role of big data in the field of integrated business systems. Author James Kobielus, the lead AI and data analyst for Wikibon and former IBM expert, said that there are a number of ways that integrated business systems are tapping the potential of AI and big data.

Big Data 173

Big Data IBM Maintenance IBM cost Innovation 173

Astera

DECEMBER 28, 2023

Informatica is an enterprise-grade data management platform that caters to a wide range of data integration use cases, helping organizations handle data from end to end. The services it provides include data integration, quality, governance, and master data management , among others.

IBM cost 52

IBM cost IBM Support IBM Maintenance Data Warehouse 52

Astera

DECEMBER 28, 2023

Informatica is an enterprise-grade data management platform that caters to a wide range of data integration use cases, helping organizations handle data from end to end. The services it provides include data integration, quality, governance, and master data management , among others.

IBM cost 52

IBM cost IBM Support IBM Maintenance Data Warehouse 52

Sisense

MARCH 20, 2019

MongoDB (or NoSQL) : An open source Database Management System (DBMS), MongoDB uses a document-oriented database model. That means that instead of using tables in rows in a database, MongoDB is made up of collections of documents. IBM does a great job of describing the basics of the framework here.

Big Data 72

Big Data IBM Maintenance IBM Support Data Warehouse 72

Data Pine

AUGUST 29, 2022

4) Big Data: Principles and Best Practices Of Scalable Real-Time Data Systems by Nathan Marz and James Warren. Best for: For readers that want to learn the theory of big data systems, how to implement them in practice, and how to deploy and operate them once they’re built. The author, Anil Maheshwari, Ph.D.,

Big Data 105

Big Data Data Analytics Data Analytics IBM Maintenance 105

Data Pine

APRIL 16, 2019

But today, the development and democratization of business intelligence software empowers users without deep-rooted technical expertise to analyze as well as extract insights from their data. Working with a team who knows the data you are working with opens the door to helpful and insightful feedback.

IBM Maintenance 115

IBM Maintenance IBM cost IBM Support Retail 115