Tenable

OCTOBER 19, 2022

Oracle did not include security patches for five product families: Oracle Airlines Data Model. Oracle Big Data Graph. Oracle NoSQL Database. Oracle TimesTen In-Memory Database. Oracle Airlines Data Model. Oracle Big Data Spatial and Graph. Big Data Graph (Apache Tomcat).

Airlines 53

Airlines Database Administration Big Data Authentication 53

Cloudera

SEPTEMBER 28, 2020

Cloudera delivers an enterprise data cloud that enables companies to build end-to-end data pipelines for hybrid cloud, spanning edge devices to public or private cloud, with integrated security and governance underpinning it to protect customers data. Let’s take a look at one customer’s upgrade journey.

Cloud 132

Cloud Systems Review Technical Review Software Review 132

Cloudera

SEPTEMBER 9, 2021

Cloudera Machine Learning or Cloudera Data Warehouse), to deliver fast data and analytics to downstream components. Infrastructure cost optimization by converting a fixed cost structure that previously consisted of infrastructure and cloud subscription costs per node into a variable cost model in the cloud based on actual consumption.

Storage 95

Storage Azure Technical Review Database Administration 95

Altexsoft

AUGUST 21, 2019

The final stage of an ETL process is when we load the structured and formatted data into some database. If the amount of data is small, any kind of database can be used. A specific type of database used in BI, big data processing, and machine learning is called a Data Warehouse.

Development 44

Development Software Engineering Data Engineering Architecture 44

Altexsoft

OCTOBER 17, 2019

The data custodian ensures the quality, integrity, and safety of data during ETL (extract, transform, and load) activities. Common job titles for data custodians are data modeler, database administrator (DBA), and an ETL developer that you can read about in our article .

Tools 16

Tools Data Technical Advisors Technical Review 16

Mobilunity

NOVEMBER 19, 2023

Here is some statistic: According to the Bureau of Labor Statistics , the demand for data scientists is projected to grow by 35% from 2020 to 2030, a rate much faster than the average for all occupations. Data science and analytics professionals earn a median salary of $103,072 , making it one of the highest-paying professions in the U.S.

UI/UX 52

UI/UX Data Machine Learning Artificial Inteligence 52

Altexsoft

NOVEMBER 5, 2021

So, we’ll only touch on its most vital aspects, instruments, and areas of interest — namely, data quality, patient identity, database administration, and compliance with privacy regulations. Data analysis, transformation, and decision support revolve around deriving knowledge and insights critical for enhancing patient care.

Technical Review 59

Technical Review Technology Software Review Healthcare 59

Altexsoft

JUNE 20, 2019

On top of that, the database management system suggests engine-independent table statistics. This feature enhances the optimizer’s performance, accelerates query processing, and helps customize data analysis. It becomes even more important for enterprises operating big data applications. Cons of MariaDB.

Systems Review 85

Systems Review System Software Review Open Source 85

Mobilunity

NOVEMBER 10, 2022

Important features of an SQL server are: Database engine consists of relational and storage engines; SQLOS – SQL server operating system; Server integration services; Data quality services; Master data services; Server data tools; Server analysis services; Reporting services. IBM Certified Database Associate.

Development 52

Development How To Comparison Recruiting 52

Altexsoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data 87

Data Data Engineering Big Data Architecture 87

Altexsoft

MAY 12, 2023

This article delves into the realm of unstructured data, highlighting its importance, and providing practical guidance on extracting valuable insights from this often-overlooked resource. We will discuss the different data types, storage and management options, and various techniques and tools for unstructured data analysis.

Examples 59

Examples Tools Data Artificial Inteligence 59

N2Growth Blog

JANUARY 10, 2017

Database Administrator (DBA). Data Analyst. DEADS: Data Engineer and Data Scientist. Content Administrator. Traditional IT departments are overwhelmed by Big Data and challenged to keep up. The stack includes Big Data, Advanced Analytics and AI services. To: AI/Cognitive Era.

Company 88

Company Artificial Inteligence Big Data Machine Learning 88