KitelyTech

FEBRUARY 3, 2021

Big data and data science are important parts of a business opportunity. Developing business intelligence gives them a distinct advantage in any industry. How companies handle big data and data science is changing so they are beginning to rely on the services of specialized companies.

Big Data 52

Big Data Data Development Business Intelligence 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

Tenable

JULY 20, 2022

Data Store (Apache Log4j). Oracle NoSQL Database. Administration (Netty). Oracle E-Business Suite. Oracle Big Data Graph. Oracle REST Data Services. Oracle Business Intelligence Enterprise Edition. Oracle Data Integrator. Issues Patched. Oracle Berkeley DB. CVE-2022-23307.

Blockchain 102

Blockchain Retail Database Administration Authentication 102

Altexsoft

OCTOBER 2, 2020

Data models translate business rules defined in policies into an actionable technical data system, Source: Global Data Strategy. Database administration: maintaining data availability. Specialist responsible for the area: database administrator. Data security: preventing data breaches.

Database Administration 64

Database Administration Strategy Data Technical Review 64

Altexsoft

AUGUST 21, 2019

Dedicated fields of knowledge like data engineering and data science became the gold miners bringing new methods to collect, process, and store data. Using specific tools and practices, businesses implement these methods to generate valuable insights. If the amount of data is small, any kind of database can be used.

Development 44

Development Software Engineering Data Engineering Architecture 44

Altexsoft

JUNE 20, 2019

This is one of the best use cases for MySQL database, as OLAP/OLTP don’t require complex queries and large volumes of data. Also, consider applying MySQL for the same reason if you’re building a business intelligence tool. On top of that, the database management system suggests engine-independent table statistics.

Systems Review 85

Systems Review System Software Review Open Source 85

Altexsoft

OCTOBER 17, 2019

Low-quality data can also impede and slow down the integration of business intelligence and ML-powered predictive analytics. US company executives that participated in the Data trust pulse survey by PricewaterhouseCoopers noted that unreliable data is one of the obstacles to monetizing data.

Tools 16

Tools Data Technical Advisors Technical Review 16