OTS Solutions

JUNE 2, 2023

has been transforming the manufacturing sector through the integration of advanced technologies such as artificial intelligence, the Internet of Things, and big data analytics. and Big Data Analytics in Predictive Maintenance Industry 4.0 is also enabling the use of big data in predictive maintenance.

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

Linux Academy

FEBRUARY 26, 2019

Stay tuned to the Linux Academy blog for further details. Hadoop Quick Start — Hadoop has become a staple technology in the big data industry by enabling the storage and analysis of datasets so big that it would be otherwise impossible with traditional data systems.

Linux 80

Linux AWS Big Data Course 80

Linux Academy

JUNE 25, 2019

Stay tuned to the Linux Academy blog for details! Google Cloud Concepts. This course is for the true Google Cloud Platform beginner. What is the cloud or Google Cloud? Why do we use Google Cloud? Google Cloud Essentials (NEW). Big Data Essentials.

Linux 60

Linux Course Cloud Google Cloud 60

Linux Academy

MAY 28, 2019

Stay tuned to the Linux Academy blog for further details. Courses Free in May: Network Routing Protocol Fundamentals – Network routing is the process of enabling computers to transfer data over networks, including the internet. Use Secrets to protect sensitive data like passwords. No prior AWS experience is required.

Linux 104

Linux AWS Azure Technical Review 104

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

Forbes notes that a full transition to the cloud has proved more challenging than anticipated and many companies will use hybrid cloud solutions to transition to the cloud at their own pace and at a lower risk and cost. This will be a blend of private and public hyperscale clouds like AWS, Azure, and Google Cloud Platform.

Cloud 78

Cloud Google Cloud Azure AWS 78

Linux Academy

APRIL 29, 2019

Stay tuned to the Linux Academy blog for further details. Introduction to Migrating Databases and Virtual Machines to Google Cloud Platform — This course covers the various issues of migrating databases and virtual machines to Google Cloud Platform. Linux Study Group in May. No prior AWS experience is required.

Linux 60

Linux AWS Big Data Course 60

Datavail

SEPTEMBER 17, 2019

Mongo CTO and Co-Founder Eli Horowitz published a blog in June 2016 officially announcing the Atlas service as the “simplest, most robust” way to use Mongo in the cloud at deployments of many different sizes. S&P Global Market Intelligence data indicates the company experienced 182.1 Is MongoDB a Better Choice?

Cloud 40

Cloud Azure Big Data Storage 40

Mobilunity

MAY 20, 2021

Cloud engineering is a quickly developing industry that concerns all things cloud services. For example, everyone has cloud storage available on their smartphones or connected to their Google account. As mentioned before, there are different cloud providers with their specific platforms. AWS cloud engineer.

Engineering 52

Engineering Cloud Google Cloud Azure 52

Hu's Place - HitachiVantara

OCTOBER 4, 2018

State of Andhra Pradesh(India) for Excellence in IoT, forproviding agile and efficient Real Time Governance (RTG) public services to their 50 million citizens with the help of Hitachi to analyze big data sets gathered from various sources to make insightful decisions. The theme of this NEXT 2018 Event was Your Data , Your Innovation.

Innovation 53

Innovation IoT Big Data Video 53

Datavail

JULY 7, 2022

With finite hardware restrictions on computational power and storage, companies often struggle to adapt when facing unprecedented demand for analytics workloads. High data volumes. Big data is often defined as the “four Vs”: volume , velocity , variety , and veracity.

Analytics 52

Analytics Artificial Inteligence Cloud Artificial Intelligence 52

Aviatrix

SEPTEMBER 28, 2018

That’s been the case in computing, with former industry leaders IBM, HP, Sun, and DEC now replaced by public cloud vendors such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud. But that networking world operated on physical equipment in physical data centers. The real goal has to be a world of NoOps.

Innovation 49

Innovation Cloud Software Data Center 49

ParkMyCloud

FEBRUARY 20, 2020

Note: a version of this blog was originally published in July 2018. The r i nstance family is memory-optimized, which you might use for in-memory databases, real-time processing of unstructured big data, or Hadoop/Spark clusters. Storage Optimize. Looking for info on the other cloud providers? Memory Optimized.

Comparison 71

Comparison How To AWS Machine Learning 71

Confluent

FEBRUARY 6, 2019

The blog posts How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka and Using Apache Kafka to Drive Cutting-Edge Machine Learning describe the benefits of leveraging the Apache Kafka ® ecosystem as a central, scalable and mission-critical nervous system. For now, we’ll focus on Kafka.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

Perficient

FEBRUARY 16, 2024

In the world of big data processing, efficient and scalable file systems play a crucial role. In this blog post, we’ll explore into what DBFS is, how it works, and provide examples to illustrate its usage. DBFS provides a unified interface to access data stored in various underlying storage systems.

System 52

System Storage Azure Big Data 52

Linux Academy

AUGUST 29, 2019

Students will learn by doing through installing and configuring containers and thoughtfully selecting a persistent storage strategy. Google Cloud Essentials (NEW). Big Data Essentials. Big Data Essentials is a comprehensive introduction addressing the large question of, “What is Big Data?”

Linux 18

Linux Course AWS Google Cloud 18

Linux Academy

JULY 30, 2019

Google Cloud Security Essentials – This course teaches the core fundamentals necessary to properly secure your Google Cloud environment, and manage who has access to what resources. The concepts introduced in this course are necessary for any security considerations on Google Cloud. Essentials .

Linux 12

Linux Course AWS Google Cloud 12

Hu's Place - HitachiVantara

AUGUST 5, 2019

In June I posted a blog commenting on the cloud management company MapR closing its headquarters and laying off 122 workers. At that time Cloudera , another cloud big data management company, announced reduced earnings and reduced outlook which drove its stock down over 38% to around $5.

Artificial Inteligence 8

Artificial Inteligence Big Data AWS Azure 8

Mobilunity

JANUARY 4, 2023

Infrastructure, including scalable storage, networking, server, mobile development, and cybersecurity solutions, is currently dominated by Amazon Web Services (AWS). High-end big data analytics solutions are available through Google Cloud Platform (GCP), which also makes it simple to connect to other vendor products.

DevOps 52

DevOps How To Azure Weak Development Team 52

Altexsoft

JULY 1, 2021

PaaS solutions support the development of virtually any type of system, including web applications, mobile applications, big data, AI, and even hardware based solutions like internet of things (IoT) devices. Google Cloud ML. Google Cloud ML Engine enables the creation and deployment of machine learning solutions.

Artificial Inteligence 59

Artificial Inteligence Azure Software Review Google Cloud 59

Altexsoft

MAY 20, 2020

These hardware components cache and preprocess real-time data, reducing the burden on central storages and main processors. The transport layer is responsible for smooth and secure data transmission from a perception to processing layer. Backed by the public cloud leader, this IoT platform has users across 190 countries.

IoT 141

IoT Azure AWS Transportation 141

Altexsoft

JUNE 1, 2020

Data lakes are repositories used to store massive amounts of data, typically for future analysis, big data processing, and machine learning. A data lake can enable you to do more with your data. What Is a Data Lake? Users can locate specific data in a lake through crawling, cataloging and indexing.

Data 69

Data Cloud Azure Storage 69

Confluent

MAY 22, 2019

It is helpful to think about the data created by the devices and the applications in three stages: Stage one is the initial creation, which takes place on the device, and is then sent over the network. Stage two is how the central system collects and organizes that data. Google Cloud SDK. Download the Confluent Platform.

IoT 97

IoT Google Cloud Scalability Microservices 97

Altexsoft

OCTOBER 21, 2022

Apache Kafka is an open-source, distributed streaming platform for messaging, storing, processing, and integrating large data volumes in real time. It offers high throughput, low latency, and scalability that meets the requirements of Big Data. Cloudera , focusing on Big Data analytics. Kafka topic and partition.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Cloudera

APRIL 2, 2019

Cloudera and Intel have a long history of innovation, driving big data analytics and machine learning into the enterprise with unparalleled performance and security. Intel Optane DC persistent memory is a new tier in the memory and storage hierarchy located between DRAM and Solid State Drives with latency closer to DRAM (see Figure 1).

Performance 47

Performance Artificial Inteligence IoT Scalability 47

Cloudera

DECEMBER 12, 2018

It kind of was interesting to me that there were these big internet companies in the valley running this platform or a variation thereof of, based on Google research papers. Let’s talk about big data and Apache Impala. That’s what I think the big difference is. Interesting times.

Data 41

Data Marketing Storage Big Data 41

Datavail

JULY 31, 2019

Big data software companies that used to run their applications on Hadoop are now switching to Kubernetes. What’s behind the recent move from Hadoop to Kubernetes, and where is the big data landscape going in the future? Platforms like Hadoop were created during and for a different era in big data.

Development 8

Development Big Data Open Source Google Cloud 8

Confluent

OCTOBER 10, 2019

Although MQTT is the focus of this blog post, in a future article I will cover MQTT integration with IIoT and its proprietary protocols, like Siemens S7, Modbus, and ADS, through leveraging PLC4X and its Kafka integration. Long-term storage and buffering. Hybrid, multi-cloud, and global deployments. High throughput. Large scale.

IoT 20

IoT Internet Weak Development Team Scalability 20