Agile Engine

FEBRUARY 20, 2019

2018 was the second consecutive year when Gartner published an obituary of Big Data. No one, including Gartner, thinks Big Data is dead. Au contraire, Big Data has grown so ubiquitous it became “just data”, argue the authors of the obituaries. Trend 1: From Big Data to “Just Data”.

Big Data 71

Big Data Google Cloud Data Azure 71

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. These technologies allow mobile apps to learn and adapt to specific equipment conditions, further reducing the risk of equipment failures. Industry 4.0

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

Mobilunity

AUGUST 3, 2021

Big Data is a collection of data that is large in volume but still growing exponentially over time. It is so large in size and complexity that no traditional data management tools can store or manage it effectively. While Big Data has come far, its use is still growing and being explored.

Big Data 52

Big Data Data Engineering Engineering Data 52

O'Reilly Media - Ideas

JUNE 4, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Learn new topics and refine your skills with more than 219 new live online training courses we opened up for June and July on the O'Reilly online learning platform. AI and machine learning.

Course 69

Course Training Artificial Inteligence Software Review 69

Datavail

JULY 7, 2022

In this article, we’ll explore 5 very good motivations for your company to do a technical refresh by moving to cloud analytics. Agility and scalability. Traditional on-premises analytics infrastructure is limited in terms of the agility and scalability that you can achieve. High data volumes.

Analytics 52

Analytics Artificial Inteligence Cloud Artificial Intelligence 52

O'Reilly Media - Ideas

APRIL 3, 2019

Learn new topics and refine your skills with more than 150 new live online training courses we opened up for April and May on the O'Reilly online learning platform. AI and machine learning. Deep Learning from Scratch , April 19. Beginning Machine Learning with Pytorch , May 1. Blockchain. Programming.

Course 49

Course Artificial Inteligence Training Google Cloud 49

O'Reilly Media - Ideas

JUNE 5, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Learn new topics and refine your skills with more than 219 new live online training courses we opened up for June and July on the O'Reilly online learning platform. AI and machine learning.

Course 51

Course Training Artificial Inteligence Software Review 51

Mobilunity

MAY 20, 2021

As mentioned before, there are different cloud providers with their specific platforms. It means that a Google cloud certified associate cloud engineer can work with GCP but probably won’t be any good with AWS or Azure. As for 2021, 79% of enterprises have adopted AWS for their public clouds. Amazon AWS.

Engineering 52

Engineering Cloud Google Cloud Azure 52

O'Reilly Media - Ideas

JANUARY 2, 2019

Get hands-on training in Python, Java, machine learning, blockchain, and many other topics. Learn new topics and refine your skills with more than 250 new live online training courses we opened up for January, February, and March on our online learning platform. AI and machine learning.

Course 60

Course Artificial Inteligence Training Blockchain 60

ParkMyCloud

JANUARY 17, 2020

Individuals in an associate solutions architect role have 1+ years of experience designing available, fault-tolerant, scalable, and most importantly cost-efficient, distributed systems on AWS. Must prove knowledge of deploying, operating and managing highly available, scalable and fault-tolerant systems on AWS.

Google Cloud 9

Google Cloud Azure AWS Cloud 9

John Snow Labs

JUNE 1, 2023

The impact of Natural Language Processing in everyday life is hard to ignore as it is the main driver of emerging technologies like Robotics, Big Data, Internet of Things, etc. It enables machines to process massive amounts of data and make informed decisions. Detecting ADE-related texts with a high degree of accuracy.

Healthcare 52

Healthcare Software Review Systems Review Technical Review 52

CircleCI

SEPTEMBER 7, 2021

For many organizations, cloud computing has become an indispensable tool for communication and collaboration across distributed teams. Whether you are on Amazon Web Services (AWS), Google Cloud, or Azure. the cloud can reduce costs, increase flexibility, and optimize resources. Big data analytics.

Cloud 52

Cloud Backup Disaster Recovery Serverless 52

Altexsoft

JULY 29, 2022

Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics.

Big Data 59

Big Data Data Google Cloud Storage 59

O'Reilly Media - Ideas

FEBRUARY 6, 2019

Get hands-on training in machine learning, microservices, blockchain, Python, Java, and many other topics. Learn new topics and refine your skills with more than 170 new live online training courses we opened up for March and April on the O'Reilly online learning platform. AI and machine learning.

Artificial Inteligence 12

Artificial Inteligence Course Training Artificial Intelligence 12

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. Microsoft Azure Machine Learning (Azure ML). Google Cloud ML. Google Cloud SQL.

Artificial Inteligence 59

Artificial Inteligence Azure Software Review Google Cloud 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

Altexsoft

MAY 20, 2020

The list of top five fully-fledged solutions in alphabetical order is as follows : Amazon Web Service (AWS) IoT platform , Cisco IoT , Google Cloud IoT , IBM Watson IoT platform , and. Backed by the public cloud leader, this IoT platform has users across 190 countries. Microsoft Azure IoT. Top five solutions for building IoT.

IoT 141

IoT Azure AWS Transportation 141

Exadel

DECEMBER 4, 2019

The Innovation Cloud is a powerful low-code development platform that lets technology leaders explore and test new technologies such as blockchain, AI, mobile, chatbot, and machine learning models. It can be deployed to AWS, Azure, or Google Cloud Platform (GCP).

Software Review 10

Software Review Blockchain Open Source Technical Review 10

Altexsoft

JANUARY 22, 2020

Because of its ability to run concurrent processing and move large amounts of data quickly, Kafka is used for big data streams, like Netflix’s big data ingestion platform. Netflix’s big data ingestion platform architecture. Or it can be used with Apache Spark , a big data processing engine.

Analytics 20

Analytics Data IoT Analysis 20

RapidValue

APRIL 20, 2020

As artificial intelligence (AI) and Machine Learning software advance, they can become increasingly valuable in assisting companies manage incoming loads. By analyzing the past and present data, these tools are able to bolster load balancing by helping to intelligently manage traffic across servers.

Load Balancer 80

Load Balancer Resources Cloud Performance 80

Altexsoft

APRIL 26, 2022

With the consistent rise in data volume, variety, and velocity, organizations started seeking special solutions to store and process the information tsunami. This demand gave birth to cloud data warehouses that offer flexibility, scalability, and high performance. As such, it is considered cloud-agnostic.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Altexsoft

JANUARY 14, 2021

The variety of data explodes and on-premises options fail to handle it. Apart from the lack of scalability and flexibility offered by modern databases, the traditional ones are costly to implement and maintain. At the moment, cloud-based data warehouse architectures provide the most effective employment of data warehousing resources.

Backup 115

Backup Azure Software Review Systems Review 115

Existek

JANUARY 27, 2023

For example, many financial institutions are now using artificial intelligence and machine learning to analyze customer data and identify new opportunities for growth. Financial services companies handle sensitive customer data, and a data breach can have severe consequences for the company and its customers.

Software Development 52

Software Development Trends Technology Software 52

Altexsoft

JUNE 25, 2019

Being at the top of data science capabilities, machine learning and artificial intelligence are buzzing technologies many organizations are eager to adopt. If we look at the hierarchy of needs in data science implementations, we’ll see that the next step after gathering your data for analysis is data engineering.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

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. For more information learn how to get data insights faster from bigger workloads with Intel® Optane DC persistent memory.

Performance 47

Performance Artificial Inteligence IoT Scalability 47

ProdOps

FEBRUARY 16, 2021

In the most recent acquisition for the company, DoiT International (DoiT), a global multi-cloud software and managed service provider with deep expertise in Kubernetes, Machine Learning, and Big Data, today announced that it has acquired ProdOps , a top provider of scalable software operations and infrastructure automation services.

Fractional CTO 52

Fractional CTO Cloud Company Google Cloud 52

Altexsoft

NOVEMBER 7, 2022

DevOps tasks — for example, creating scheduled backups and restoring data from them. Airflow is especially useful for orchestrating Big Data workflows. The approach finds its application, for example, in ETL and ELT pipelines with many data sources or destinations. The Good and the Bad of Power BI Data Visualization.

Weak Development Team 52

Weak Development Team Technical Review Software Review Systems Review 52

Altexsoft

SEPTEMBER 21, 2023

In 2023, Elasticsearch introduced the Elasticsearch Relevance Engine (ESRE) , a powerful upgrade integrating AI and machine learning into search. Elasticsearch supports machine learning algorithms that can automatically model and analyze the behavior of your data in real time, providing valuable insights and predictions.

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 52

Confluent

OCTOBER 10, 2019

Confluent Platform and Confluent Cloud are already used in many IoT deployments, both in Consumer IoT and Industrial IoT (IIoT). Most scenarios require a reliable, scalable, and secure end-to-end integration that enables bidirectional communication and data processing in real time. Example: Severstal.

IoT 20

IoT Internet Weak Development Team Scalability 20

ParkMyCloud

JUNE 19, 2020

With so many options available, finding the right machine type for your workload can be confusing – which is why we’ve created this overview of Azure VM types (as we’ve done with EC2 instance types , and Google Cloud machine types ). These VMs enhance application performance, scalability, and consistency.

Azure 64

Azure Comparison Storage Virtualization 64

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

Altexsoft

MAY 12, 2023

As the data world evolves, more formats may emerge, and existing formats may be adapted to accommodate new unstructured data types. Unstructured data and big data Unstructured and big data are related concepts, but they aren’t the same. Scalability. Hadoop, Apache Spark).

Examples 59

Examples Tools Data Artificial Inteligence 59

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. Conversely, on a big data platform, it’s very easy to land data no matter what.

Data 41

Data Marketing Storage Big Data 41

Altexsoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64