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

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

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 96

Storage Azure Technical Review Database Administration 96

Altexsoft

JULY 4, 2022

Companies often take infrastructure engineers for sysadmins, network designers, or database administrators. The expert also documents problems and how they were addressed and creates metrics reports. Infrastructure is quite a broad and abstract concept. And the same is a role of a person responsible for it. How is it possible?

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 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. Build and maintain medical data dictionaries. What is health information management: brief introduction the HIM landscape.

Technical Review 59

Technical Review Technology Software Review Healthcare 59

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

Once you know against what data quality dimensions you will evaluate your datasets, you can define metrics. For instance, duplicate records number or percentage will indicate the uniqueness of data. . The data custodian ensures the quality, integrity, and safety of data during ETL (extract, transform, and load) activities.

Tools 16

Tools Data Technical Advisors Technical Review 16