CIO

MARCH 9, 2022

As such, the lakehouse is emerging as the only data architecture that supports business intelligence (BI), SQL analytics, real-time data applications, data science, AI, and machine learning (ML) all in a single converged platform. This dual-system architecture requires continuous engineering to ETL data between the two platforms.

Data 178

Data Artificial Inteligence Artificial Intelligence Analytics 178

Infinidat

JANUARY 12, 2021

Why Enterprise Storage Customers Stay in Suboptimal Vendor Relationships. Guest Blogger: Eric Burgener, Research Vice President, Infrastructure Systems, Platforms and Technologies, IDC. This raises an interesting question: why do enterprise storage customers stay in vendor relationships that don't seem to meet their needs?

Storage 59

Storage Enterprise Artificial Inteligence Technical Support 59

Altexsoft

AUGUST 21, 2019

Any system dealing with data processing requires moving information between storages and transforming it in the process to be then used by people or machines. The extraction phase entails defining required data sources, whether it is an ERP, CRM, or third-party systems, and gathering data from them. Database/Warehouse developer.

Development 44

Development Software Engineering Data Engineering Architecture 44

Perficient

JUNE 27, 2024

System Design & Architecture: Solutions are architected leveraging GCP’s scalable and secure infrastructure. Detailed design documents outline the system architecture, ensuring a clear blueprint for development.

Google Cloud 52

Google Cloud Applications Cloud Automotive 52

Instaclustr

MAY 19, 2021

In order to perform this critical function of data storage and protection, database administration has grown to include many tasks: Security of data in flight and at rest. Interpretation of data through defined storage. Acquisition of data from foreign systems. Security of data at an application access level. P stands for post.

Database Administration 36

Database Administration Storage Weak Development Team Open Source 36

Xicom

DECEMBER 26, 2018

Implementation of IoT in the manufacturing industry is as following: For example, in the manufacturing industry, IoT can build intelligent factories, facility management, production process monitoring, inventory management, forecasting and preventive quality testing, security and storage, warehouse optimization, supply chain management.

IoT 40

IoT Industry Development Artificial Inteligence 40

Datica

JUNE 17, 2019

Amit served in the Israel Defense Force’s elite cyber intelligence unit (Unit 81) and is a cybersecurity expert with extensive experience in system architecture and software development. He is the author of 7 patents issued by the USPTO for storage, mobile applications, and user interface. Karan Shah. karan_shah89.

Healthcare 40

Healthcare Blockchain Technical Review Systems Review 40