AWS Machine Learning - AI

JANUARY 26, 2024

Understanding and addressing LLM vulnerabilities, threats, and risks during the design and architecture phases helps teams focus on maximizing the economic and productivity benefits generative AI can bring. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

Artificial Inteligence 115

Artificial Inteligence Generative AI Security Applications 115

Data Virtualization

JANUARY 19, 2023

The post Modernizing Data Analytics Architecture with the Denodo Platform on Azure appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information. Unfortunately, with data spread.

Azure 52

Azure Architecture Analytics Data 52

OTS Solutions

JUNE 2, 2023

Emerging Technologies in Mobile Apps for Predictive Maintenance Emerging technologies such as artificial intelligence and machine learning are being integrated into predictive maintenance mobile apps to improve their effectiveness. This data can then be analyzed using machine learning algorithms to predict when maintenance is required.

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

Cloudera

FEBRUARY 12, 2024

In this blog, we’ll take you through our tried and tested best practices for setting up your DNS for use with Cloudera on Azure. In a Cloudera deployment scenario, only storage accounts, PostgreSQL DB, and Key Vault support service endpoints. Most users have restrictions on firewalls for wildcard rules.

Azure 52

Azure Firewall Data Engineering Storage 52

AWS Machine Learning - AI

MAY 30, 2024

In this blog, we walkthrough the architectural components, evaluation criteria for the components selected by Vitech and the process flow of user interaction within VitechIQ. These documents are uploaded and stored in Amazon Simple Storage Service (Amazon S3), making it the centralized data store.

Artificial Inteligence 95

Artificial Inteligence Technical Review Development Team Review Software Review 95

Cloudera

FEBRUARY 1, 2024

In this blog, we’ll cover the highlights of our recently published Day 2 Operations Guide and why it matters to enterprises. The rest of the blog covers precisely how the platform handles monitoring and troubleshooting of the platform when breakages happen.

Backup 85

Backup Architecture Cloud Resources 85

Cloudera

NOVEMBER 1, 2022

In the private sector, excluding highly regulated industries like financial services, the migration to the public cloud was the answer to most IT modernization woes, especially those around data, analytics, and storage. Learn more about CDP Private Cloud here. It’s here where the private cloud delivers.

Cloud 91

Cloud Government Storage Analytics 91

Cloudera

JANUARY 26, 2022

The hybrid cloud’s premise—two data architectures fused together—gives companies options to leverage those solutions and to address decision-making criteria, on a case-by-case basis. . Virtual machines came to be, and this meant that several (virtual) environments with their own operating systems could run in one physical computer. .

Cloud 89

Cloud Data Architecture Virtualization 89

Xebia

AUGUST 29, 2023

Key features of AWS Batch Efficient Resource Management: AWS Batch automatically provisions the required resources, such as compute instances and storage, based on job requirements. This enables you to build end-to-end workflows that leverage the full range of AWS capabilities for data processing, storage, and analytics.

AWS 147

AWS Performance Storage Linux 147

Cloudera

FEBRUARY 8, 2021

In addition, moving outside the vehicle, existing fragmented approaches for data management associated with the machine learning lifecycle are limiting the ability to deploy new use cases at scale. The vehicle-to-cloud solution driving advanced use cases.

Data 111

Data Machine Learning Artificial Inteligence Automotive 111

Datavail

JUNE 22, 2023

The trends and topics at this event included data analytics, sustainability, application modernization, cloud migration and modernization, AI and machine learning, and operational excellence. Discover technologies like machine learning and serverless computing to gain valuable insights into revolutionizing your industry.

AWS 52

AWS Disaster Recovery Generative AI Storage 52

Cloudera

JUNE 18, 2022

These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. In recent years, the term “data lakehouse” was coined to describe this architectural pattern of tabular analytics over data in the data lake.

Data 96

Data Analytics Open Source Architecture 96

Kentik

FEBRUARY 4, 2021

In the previous two blogs, I talked about the need to gather telemetry data from all of the devices and observation points in your network, and across the different types of telemetry available. Distributed columnar databases, which is what we see most (and what we use at Kentik) to provide high-resolution storage and querying.

Network 80

Network Data Storage Analytics 80

Cloudera

JANUARY 15, 2021

Cloudera Data Warehouse is a cloud-native data warehouse based on the Apache Impala and Apache Hive SQL engines, deployed using a containerized architecture based on Kubernetes. Some examples of recent optimizations in Impala include: New multithreading model (see dedicated blog post ). Impala use of KRPC (see dedicated blog post ).

Performance 99

Performance Cloud Data Storage 99

Cloudera

JUNE 7, 2023

Cloudera Shared Data Experience (SDX) is a core component of Cloudera Data Platform’s architecture. It operates independently from compute and storage layers, offering integrated security and governance based on metadata. Learn more about Cloudera’s approach to security and compliance at cloudera.com/trustcenter.

Data 85

Data Government Technical Review Policies 85

Palo Alto Networks

MAY 23, 2024

Consider Comprehensive Solutions For cloud and web-facing assets, smaller organizations can typically discover and manage their external attack surface – web apps, cloud storage, APIs – with basic discovery tools. Tools like XSIAM can leverage AI and machine learning to automate alerts.

Programming 99

Programming Weak Development Team Authentication Real Estate 99

Palo Alto Networks

MARCH 10, 2021

Amazon VPC Traffic Mirroring provides a non-intrusive way to enable network visibility into your AWS deployments without requiring significant design changes to virtual network architecture. To learn more, we encourage you to follow these links: Amazon VPC Traffic Mirroring blog documentation. Learn more about VM-Series.

AWS 98

AWS Firewall Lambda Network 98

AWS Machine Learning - AI

FEBRUARY 6, 2024

The following diagram illustrates the solution architecture. The application uses the Amplify libraries for Amazon Simple Storage Service (Amazon S3) and uploads documents provided by users to Amazon S3. Amazon SQS enables a fault-tolerant decoupled architecture. It captures the message ID returned by Amazon SQS.

Generative AI 94

Generative AI AWS Lambda Technical Review 94

Mobilunity

NOVEMBER 19, 2023

Methods to Extract Data Insights Machine Learning Algorithms : Machine learning leverages algorithms to enable computers to learn from and make predictions or decisions based on data. Deep Learning : A subset of machine learning, deep learning uses artificial neural networks to process and understand complex data.

UI/UX 52

UI/UX Data Artificial Inteligence Machine Learning 52

Cloudera

SEPTEMBER 9, 2021

Cloudera Machine Learning or Cloudera Data Warehouse), to deliver fast data and analytics to downstream components. That type of architecture results in consolidation of compute and storage resources by up to a factor of 6 (moving to COD from an HA based IaaS model) reducing associated cloud infrastructure costs. .

Storage 98

Storage Azure Technical Review Database Administration 98

OpenCredo

NOVEMBER 22, 2023

Data is established as the driving force behind many industries today, and having a modern data architecture is pivotal for organizations to be successful. The first part of this blog is related to the Flink and S3 infra design. This blog is written exclusively by the OpenCredo team. to now include a Kubernetes Operator.

Data 59

Data AWS Policies Architecture 59

Perficient

FEBRUARY 13, 2023

Use multiple data models: Local data storage is so costly that it was not possible to store multiple copies of data, each using a different data model to meet your requirements. Each data model has its own advantages and storing intermediate step results has significant architectural advantages.

Data Engineering 69

Data Engineering Engineering Data Storage 69

Altexsoft

FEBRUARY 11, 2023

What’s more, investing in data products, as well as in AI and machine learning was clearly indicated as a priority. To get a better understanding of a data architect’s role, let’s clear up what data architecture is. machine learning and deep learning models; and business intelligence tools.

Data 87

Data Data Engineering Big Data Architecture 87

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. Meta data will be key, and companies will look to object based storage systems to create a data fabric as a foundation for building large scale flow based data systems.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

OTS Solutions

DECEMBER 4, 2023

Private cloud architecture is an increasingly popular approach to cloud computing that offers organizations greater control, security, and customization over their cloud infrastructure. What is Private Cloud Architecture? Why is Private Cloud Architecture important for Businesses?

Architecture 130

Architecture Cloud Disaster Recovery Scalability 130

Cloudera

SEPTEMBER 11, 2018

Last week Cloudera introduced an open end-to-end architecture for IoT and the different components needed to help satisfy today’s enterprise needs regarding operational technology (OT), information technology (IT), data analytics and machine learning (ML), along with modern and traditional application development, deployment, and integration.

IoT 40

IoT Artificial Inteligence Machine Learning Data 40

Cloudera

AUGUST 3, 2021

Choosing enterprise data partners that can deliver hybrid workload solutions reduces risk by leveraging data where it lies, mitigating data transfer risk, minimizing possible confusing redundant data, and optimizing architecture use and spend. Open source solutions reduce risk.

Analytics 111

Analytics Open Source Government Machine Learning 111

Mobilunity

MAY 8, 2023

Key zones of an Enterprise Data Lake Architecture typically include ingestion zone, storage zone, processing zone, analytics zone, and governance zone. Storage zone is where the raw data is stored in its original format. Storage zone is where the raw data is stored in its original format.

Engineering 52

Engineering Data Storage AWS 52

Cloudera

AUGUST 26, 2021

Ozone natively provides Amazon S3 and Hadoop Filesystem compatible endpoints in addition to its own native object store API endpoint and is designed to work seamlessly with enterprise scale data warehousing, machine learning and streaming workloads. If you want to read more about Ozone architecture, this is a good starting point.

Cloud 115

Cloud Data Machine Learning Artificial Inteligence 115

Cloudera

MARCH 22, 2023

Over the past handful of years, systems architecture has evolved from monolithic approaches to applications and platforms that leverage containers, schedulers, lambda functions, and more across heterogeneous infrastructures. Get in touch now to learn more about CDP’s current and future observability capabilities.

Metrics 91

Metrics Government Lambda Systems Administration 91

OpenCredo

APRIL 20, 2021

Machine learning has great potential for many businesses, but the path from a Data Scientist creating an amazing algorithm on their laptop, to that code running and adding value in production, can be arduous. Here are two typical machine learning workflows. Why this blog post? Monitoring.

Machine Learning 140

Machine Learning Artificial Inteligence Software Review Open Source 140

Cloudera

DECEMBER 10, 2020

Generally, if five LOB users use the data warehouse on a public cloud for eight hours a day for one month, you pay for the use of the service and the associated cloud hardware resources (compute and storage) for this period. 150 for storage use = $15 / TB / month x 10 TB. 150 for storage use = $15 / TB / month x 10 TB.

Data 98

Data Technical Review Storage Systems Review 98

Palo Alto Networks

MAY 22, 2024

{{interview_audio_title}} 00:00 00:00 Volume Slider 10s 10s 10s 10s Seek Slider “AI’s Impact in Cybersecurity” is a blog series based on interviews with a variety of experts at Palo Alto Networks and Unit 42, with roles in AI research, product management, consulting, engineering and more.

Artificial Inteligence 67

Artificial Inteligence How To Weak Development Team Systems Review 67

Exadel

AUGUST 23, 2022

The difference is that, with the Bot Framework SDK, there is much more freedom of implementation: it’s much easier to integrate with other Azure services like Cosmos DB or Azure Blob Storage. LUIS will use those utterances to train the natural language processing machine learning model. List entities — static lists.

Azure 75

Azure Software Review Artificial Inteligence Technical Review 75

Linux Academy

MARCH 28, 2019

While Machine Learning is just a subset of true Artificial Intelligence vendors of infrastructure automation have coined a new buzz acronym, AIOps. N-Tier architectures and micro-services applications must be tuned for performance. Machine Learning. These metrics makeup a great data source for further analytics.

Artificial Inteligence 60

Artificial Inteligence Metrics Machine Learning Linux 60

Datavail

APRIL 18, 2023

Oracle Cloud Infrastructure is specifically designed with a zero-trust, security-first architecture. Research indicates that on-premises workloads will reduce by approximately 13% in favour of solutions such as cloud storage.

Infrastructure 52

Infrastructure Performance Cloud Software Review 52

Linux Academy

JANUARY 26, 2019

Compute- and storage-intensive applications find their way to the cloud because of the need to scale so large that on-premises data centers are simply no longer feasible. The post Cloud Migration Fundamentals appeared first on Linux Academy Blog.

Cloud 60

Cloud Artificial Inteligence Data Center Artificial Intelligence 60