CIO
AUGUST 23, 2022
You’ll be expected to have skills such as C#, HTML, CSS, JavaScript, Python, Linux development, Java, database administration, and an understanding of security controls, governance processes, and compliance validation. Business intelligence developer. Application analyst.
Tenable
JULY 20, 2022
Oracle NoSQL Database. Administration (Netty). Oracle Database Server. Oracle E-Business Suite. Oracle Enterprise Manager. Oracle Enterprise Manager for MySQL Database. Oracle Business Intelligence Enterprise Edition. Oracle Berkeley DB. Data Store (Apache Log4j). CVE-2022-23307.
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Datavail
MARCH 11, 2020
That means they have also mastered control of their data, often using the most advanced database administration technology possible, the newly released database Oracle 19c. Emerging industrial and data management trends underscore the importance of tuning up your data management practices and your database administration.
Altexsoft
FEBRUARY 11, 2023
machine learning and deep learning models; and business intelligence tools. To perform or supervise data modeling, data architects must have expertise at database administration and SQL development. Besides, proficiency with widespread modeling tools like Enterprise Architect, Erwin, or PowerDesign is mandatory.
Openxcell
JANUARY 6, 2023
Cloud computing has emerged as the optimal method of delivering enterprise software for businesses introducing new technologies or expanding their infrastructure. Many new technologies now begin in the cloud as services, which is very enticing to business customers who are aware of the possible competitive benefits of early adoption.
Datavail
JUNE 8, 2023
From the technical possibilities and challenges of new and emerging technologies to using Big Data for business intelligence, analytics, and other business strategies, this event had something for everyone. Additionally, emerging data types and modern applications drive enterprises to adopt new data platforms.
Altexsoft
OCTOBER 2, 2020
Data architecture: aligning technologies with business goals. Fitting into wider enterprise architecture, it outlines how data is collected, integrated, transformed, stored, and used. A data architect focuses on building a robust infrastructure so that data brings business value. Data security: preventing data breaches.
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