Xebia

JULY 28, 2023

To set it up, the first step is to navigate to the Azure Active Directory in Azure Portal and select App registrations from the left bar. First, it uses the Azure API to create a bearer token based on a Client secret from a Azure # Active Directory App. The last two can be obtained by creating an App under Azure # Active Directory.

Cloud 130

Cloud Azure How To Windows 130

Cloudera

AUGUST 3, 2022

Customers will now get the same consistent view of their data with the analytic processing engine of their choice without any compromises. . Within CDP, Shared Data Experience (SDX) provides centralized governance, security, cataloging, and lineage. Fine grained access control (FGAC) with Spark. Starting with CDP 7.1.7

Policies 92

Policies Artificial Inteligence Machine Learning Data Engineering 92

Palo Alto Networks

AUGUST 23, 2021

We wanted to provide a modern cloud-based platform leveraging the latest in machine learning, analytics and automation to fight the many cyber attacks businesses face every day. The new platform also integrates a rich set of identity data sources and built-in analytics to address a variety of identity-based threats. .

Cloud 92

Cloud Artificial Inteligence Machine Learning Analytics 92

Altexsoft

SEPTEMBER 9, 2022

In data science , metadata is one of the central aspects: It describes data (including unstructured data streams) fed into a big data analytical platform, capturing, for example, formats, file sizes, source of information, permission details, etc. Alation: support for self-service analytics and BI.

Tools 59

Tools Technical Review Software Review Systems Review 59

Perficient

FEBRUARY 16, 2024

In the world of big data processing, efficient and scalable file systems play a crucial role. DBFS is a distributed file system that comes integrated with Databricks, a unified analytics platform designed to simplify big data processing and machine learning tasks. What is DBFS? What is DBFS?

System 52

System Storage Azure Big Data 52

Cloudera

FEBRUARY 22, 2022

Over the past decade, the successful deployment of large scale data platforms at our customers has acted as a big data flywheel driving demand to bring in even more data, apply more sophisticated analytics, and on-board many new data practitioners from business analysts to data scientists. Key Design Goals

Data 111

Data Analytics Disaster Recovery Travel 111

Altexsoft

NOVEMBER 23, 2021

But this data is all over the place: It lives in the cloud, on social media platforms, in operational systems, and on websites, to name a few. Not to mention that additional sources are constantly being added through new initiatives like big data analytics , cloud-first, and legacy app modernization.

Virtualization 69

Virtualization Tools Data Architecture 69