AWS Machine Learning - AI

SEPTEMBER 3, 2024

Harnessing the power of big data has become increasingly critical for businesses looking to gain a competitive edge. From deriving insights to powering generative artificial intelligence (AI) -driven applications, the ability to efficiently process and analyze large datasets is a vital capability.

Serverless 117

Serverless AWS Artificial Inteligence Big Data 117

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. Data engineer. Data flow validation.

Development 44

Development Software Engineering Data Engineering Architecture 44

Altexsoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

CTOvision

OCTOBER 2, 2013

Since joining forces last year, Strata + Hadoop World is also one of the largest gatherings of the Apache Hadoop community in the world, with emphasis on hands-on and business sessions on the Hadoop ecosystem. If you want to tap into the opportunities brought by big data, data science, and pervasive computing, you’ll want to be there.

Big Data 73

Big Data Conference CTO Coach Media 73

Xebia

JANUARY 19, 2023

This book is as good for a project manager or any other non-technical role as it is for a computer science student or a data engineer. “Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

Altexsoft

DECEMBER 9, 2020

Diagnostic analytics identifies patterns and dependencies in available data, explaining why something happened. Predictive analytics creates probable forecasts of what will happen in the future, using machine learning techniques to operate big data volumes. Data warehouse architecture. Analytics maturity model.

Analytics 102

Analytics Technical Review Technology Applications 102

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

DECEMBER 9, 2024

Education and certifications for AI engineers Higher education base. AI engineers need a strong academic foundation to deeply comprehend the main technology principles and their applications. As supposed, ML engineers need a deep educational background. Business Intelligence developer.

Engineering 52

Engineering Artificial Inteligence Machine Learning Artificial Intelligence 52

Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Altexsoft

DECEMBER 14, 2020

Developed by Microsoft, SQL Server is a reliable and functional relational database management system that makes it possible to store and retrieve data as per requests of other software applications. Unlike structured data tools, those designed for unstructured data are more complex to work with. OLAP applications.

Data 93

Data Artificial Inteligence Storage Analytics 93

Mobilunity

MARCH 26, 2024

SAP NetWeaver Business Warehouse (BW): As a matter of fact this component does not only change raw data into meaningful insights but it also serves as a hub where data from multiple sources can be consolidated thus providing an inclusive business intelligence and reporting platform.

Project Management 52

Project Management Recruiting Agile Quality Assurance 52

Altexsoft

FEBRUARY 24, 2023

The shift to non-application jobs driven by the ability to support various types of workloads turns Kubernetes into a universal platform for almost everything and a de-facto operating system for cloud-native software. Introduction to Containers with Docker, Kubernetes, and OpenShift on Coursera.

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

Altexsoft

DECEMBER 23, 2022

One of the main reasons behind this is the need to timely process huge volumes of data in any format. As said, ETL and ELT are two approaches to moving and manipulating data from various sources for business intelligence. In ETL, all the transformations are done before the data is loaded into a destination system.

Tools 52

Tools Software Review Systems Review Testing 52

CIO

DECEMBER 10, 2024

Oracle Oracle offers a wide range of enterprise software, hardware, and tools designed to support enterprise IT, with a focus on database management. Oracle skills are common for database administrators, database developers, cloud architects, business intelligence analysts, data engineers, supply chain analysts, and more.

UI/UX 203

UI/UX Enterprise Artificial Inteligence Database Administration 203

Altexsoft

OCTOBER 3, 2019

Mark Huselid and Dana Minbaeva in Big Data and HRM call these measures the understanding of the workforce quality. The platform provides “ business intelligence, planning, and predictive capabilities within one product” and uses AI and ML.

Analytics 16

Analytics Company Off-The-Shelf How To 16

Altexsoft

MARCH 14, 2023

A Modern Data Stack (MDS) is a collection of tools and technologies used to gather, store, process, and analyze data in a scalable, efficient, and cost-effective way. Software engineers use a technology stack — a combination of programming languages, frameworks, libraries, etc. — Data use component in a modern data stack.

Data 59

Data Technical Review Software Review Open Source 59

CTOvision

JULY 9, 2014

The term “Big Data” has become synonymous with this evolution. But still, many of our customers continue to ask, “What is Big Data?”, “What are its use cases?”, and “What is its business value?”. What is Big Data? To gain value from this data, you must choose an alternative way to process it.”

Big Data 114

Big Data Data CTO Fractional CTO 114

Altexsoft

MARCH 24, 2021

applying business intelligence tools to draw insights from data. In this article, we’ll focus on APIs that allow you to add telehealth capabilities into your working system, access necessary data, or build doctor and patient apps for remote care. This include. real-time activity tracking for billing and reporting.

Tools 69

Tools Healthcare Insurance Video 69