Gorilla Logic

MAY 19, 2021

Not surprisingly, the skill sets companies need to drive significant enterprise software builds, such as big data and analytics, cybersecurity, and AI/ML, are among the most competitive. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more. Skill shortages can delay project kickoffs and delivery.

Software Review 94

Software Review Technical Review Software Development Team Review 94

Altexsoft

AUGUST 19, 2022

In our blog, we’ve been talking a lot about the importance of business intelligence (BI), data analytics, and data-driven culture for any company. Users can easily create a wide range of data-intensive, yet intelligible reports and dashboards and share obtained insights. Power BI data sources.

Weak Development Team 52

Weak Development Team Data Azure Analytics 52

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Hybrid and multi-cloud also provide flexible data management, governance, compliance, availability, and durability. Another aspect of agility is the self-service resources that enables the DevOps culture to run dev/test workloads in the cloud. It eliminates upfront capital costs and avoids the risk of infrastructure vendor lock-in.

Cloud 49

Cloud AWS Azure Data Center 49

Existek

NOVEMBER 22, 2021

Business Intelligence. The business intelligence component works with all the information gathered from the whole system. However, there is an element of truth since SQL databases have much more advanced tools for dealing with structured data and tables with a predefined number of rows and columns. Accounting.

Web Development 52

Web Development UI/UX Weak Development Team Enterprise 52

Existek

JANUARY 27, 2023

These systems are used to ensure that financial institutions comply with a wide range of regulatory requirements, such as the General Data Protection Regulation (GDPR) and the Payment Services Directive (PSD2). BI systems can be used to create reports and visualizations, such as charts and graphs, that make it easy to understand complex data.

Software Development 52

Software Development Trends Technology Software 52

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena.

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Conference Data Data Engineering Artificial Inteligence 8

Altexsoft

MARCH 30, 2023

To dive deeper into details, read our article Data Lakehouse: Concept, Key Features, and Architecture Layers. The lakehouse platform was founded by the creators of Apache Spark , a processing engine for big data workloads. Watch our video to learn more about one of the key Databricks applications — data engineering.

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Weak Development Team Machine Learning Artificial Inteligence Software Review 64