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. This has a great architectural insight into Hive on Tez. Background: .

Cloud 130

Cloud Systems Review Technical Review Software Review 130

Linux Academy

DECEMBER 1, 2019

Database Administration and SQL Language Basics . Big Data Essentials. Big Data Essentials is a comprehensive introduction addressing the large question of, “What is Big Data?” Using real-world examples, we highlight the growing importance of Big Data. Jenkins Quick Start.

Linux 26

Linux Course AWS Google Cloud 26

Linux Academy

NOVEMBER 1, 2019

Database Administration and SQL Language Basics . Big Data Essentials. Big Data Essentials is a comprehensive introduction addressing the large question of, “What is Big Data?” Using real-world examples, we highlight the growing importance of Big Data. Jenkins Quick Start.

Linux 15

Linux Course AWS Google Cloud 15

Linux Academy

SEPTEMBER 30, 2019

Database Administration and SQL Language Basics -In this course, we will be using MySQL to learn about administering a database, as well as the basics of the SQL language. Big Data Essentials. Big Data Essentials is a comprehensive introduction addressing the large question of, “What is Big Data?”

Linux 22

Linux Course Serverless Google Cloud 22

Altexsoft

JULY 4, 2022

Companies often take infrastructure engineers for sysadmins, network designers, or database administrators. designing secure networks, creating hybrid, cloud-native, microservices, and serverless architectures , delivering infrastructure as code, deploying Oracle databases, migrating on-premises resources to the Oracle cloud, and.

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

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. It follows a peer-to-peer architecture, employing a decentralized approach to data storage and replication.

Open Source 58

Open Source Scalability Analytics Database Administration 58

Altexsoft

OCTOBER 2, 2020

Key disciplines and roles in data management. 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. Database administration: maintaining data availability.

Database Administration 64

Database Administration Strategy Data Technical Review 64

CTOvision

AUGUST 25, 2016

Harper Reed's Amazon Architecture. So rather than using a rigid architecture with fixed standards, he decided to leverage the varied resources of his volunteer. Enterprise Architecture. Let’s say you need fifty programmers, and according to your architecture, they all need to know Java. Polyglot Programming.

Agile 61

Agile Programming SCRUM Software Review 61

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. Modern databases are usually controlled via a database management system (DBMS) that sits between information and apps consuming it.

Technical Review 59

Technical Review Technology Software Review Healthcare 59

Mobilunity

NOVEMBER 10, 2022

User-friendly architecture; Usage of English as the standard language, which makes it easy to understand for all users; Multiple data views; Open-source code; As an interactive language, it is easy to communicate and interpret. SQL server is usually created on top of SQL to power interactions with relational databases.

Development 52

Development How To Comparison Recruiting 52

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. Data modeling.

Development 44

Development Software Engineering Data Engineering Architecture 44

Altexsoft

JUNE 20, 2019

Oracle’s multi-model solution allows for accommodating and processing a vast amount of data. Thanks to the recently released multi-tenancy feature, the database architecture now simplifies packing many databases and manage them smoothly. It becomes even more important for enterprises operating big data applications.

Systems Review 85

Systems Review System Software Review Open Source 85

Altexsoft

MAY 12, 2023

As the data world evolves, more formats may emerge, and existing formats may be adapted to accommodate new unstructured data types. Unstructured data and big data Unstructured and big data are related concepts, but they aren’t the same. MongoDB, Cassandra), and big data processing frameworks (e.g.,

Examples 59

Examples Tools Data Artificial Inteligence 59

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 . Data linking .

Tools 16

Tools Data Technical Advisors Technical Review 16

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 86

Company Artificial Inteligence Big Data Machine Learning 86

Mobilunity

MAY 20, 2023

Data Engineer: Data engineers design, build, and manage a company’s data architecture. They handle big data and ensure it’s accessible for data scientists to analyze. Database Administrator: Database administrators use specialized software to store and organize data.

Technical Review 52

Technical Review Fractional CTO CTO Artificial Inteligence 52