Altexsoft

JULY 4, 2022

Companies often take infrastructure engineers for sysadmins, network designers, or database administrators. The software layer can consist of operating systems, virtual machines, web servers, and enterprise applications. Infrastructure is quite a broad and abstract concept. And the same is a role of a person responsible for it.

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

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. Instead of making substantial investments in databases, software, and hardware, businesses prefer to access their computing power over the internet or in the cloud.

Architecture 52

Architecture Cloud Storage Google Cloud 52

Datavail

JUNE 8, 2023

Data Summit 2023 was filled with thought-provoking sessions and presentations that explored the ever-evolving world of data. 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.

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

Datavail

NOVEMBER 6, 2023

Known for its ability to handle massive amounts of data across multiple nodes with no single point of failure, Cassandra has become a popular choice for organizations dealing with big data and real-time applications. Analytics : DataStax Enterprise incorporates Apache Spark, a powerful analytics engine, into its distribution.

Open Source 58

Open Source Scalability Analytics Database Administration 58

Altexsoft

OCTOBER 2, 2020

Data architecture: aligning technologies with business goals. Specialist responsible for the area: data architect. Data architecture is a starting point for any data management model. Fitting into wider enterprise architecture, it outlines how data is collected, integrated, transformed, stored, and used.

Database Administration 64

Database Administration Strategy Data Technical Review 64

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. Patient identity management with Enterprise Master Patient Index. If so, the MPI assigns them the same enterprise identifier.

Technical Review 59

Technical Review Technology Software Review Healthcare 59

Altexsoft

JANUARY 24, 2020

Database administrators. With around 4k people employed, database managers obtain nearly $80k. Business Analytics (MS) lays right at the intersection of business, technology, and data. Collecting, structuring, analyzing, and turning fresh enterprise data into proper business decisions is a growing trend.

Education 99

Education Analytics Recruiting Programming 99

Cloudera

DECEMBER 12, 2018

So, that’s kind of how I got introduced to databases and SQL systems. I then ended up working for a travel company and did database administration there. After having rebuilt their data warehouse, I decided to take a little bit more of a pointed role, and I joined Oracle as a database performance engineer.

Data 42

Data Marketing Storage Big Data 42

Altexsoft

JUNE 20, 2019

Of course, there are other, prepaid options for Enterprise or Cluster purposes with richer functionality. Enterprise Edition is over $47,000 per unit. Oracle database needs powerful infrastructure. All in one, it significantly accelerates the processing of vast amounts of data. End-to-end business data solution.

Systems Review 85

Systems Review System Software Review Open Source 85

Altexsoft

AUGUST 21, 2019

One of the most common ways how enterprises leverage data is business intelligence (BI), a set of practices and technologies that allow for transforming raw data into actionable information. The data can be used with various purposes: to do analytics or create machine learning models. Data scientists.

Development 44

Development Software Engineering Data Engineering Architecture 44

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