Perficient

AUGUST 28, 2024

Google Cloud Platform (GCP), offered by Google, provides a broad spectrum of cloud computing solutions. It includes modular services across computing, data storage, analytics, and machine learning, supported by a suite of management tools. The Basics of Google Cloud Pub/Sub 1. Request-Response vs.

Google Cloud 52

Google Cloud Cloud IoT Machine Learning 52

CIO

JANUARY 6, 2023

The role typically requires a bachelor’s degree in computer science or a related field and at least three years of experience in cloud computing. Keep an eye out for candidates with certifications such as AWS Certified Cloud Practitioner, Google Cloud Professional, and Microsoft Certified: Azure Fundamentals.

LAN 215

LAN How To Systems Administration Software Engineering 215

CIO

AUGUST 29, 2022

By embracing a modernization strategy, companies can transform their enterprise software portfolio with a next-generation technology stack, including a scalable, cloud-native environment, to drive new processes and collaborative workflows. Transforming the enterprise. A software modernization journey.

Software 146

Software Course DevOps Scalability 146

Perficient

MARCH 19, 2024

If you have built or are building a Data Lake on the Google Cloud Platform (GCP) and BigQuery you already know that BigQuery is a fully managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence.

Data 111

Data Google Cloud Analytics Serverless 111

CIO

MAY 8, 2024

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

Innovation 153

Innovation Artificial Inteligence Data Serverless 153

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

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

KitelyTech

FEBRUARY 15, 2023

With so many different options available, such as AWS, Azure, and Google Cloud, it is important to understand the differences between each platform and how they can best meet your business needs. It is a platform where users can access applications, storage, and other computing services from the cloud, rather than their own device.

Google Cloud 52

Google Cloud Azure AWS Cloud 52

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

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. Google Cloud IoT: driving transportation with Google Maps.

IoT 141

IoT Azure AWS Transportation 141

O'Reilly Media - Ideas

JUNE 4, 2019

Programming with Data: Advanced Python and Pandas , July 9. Understanding Data Science Algorithms in R: Regression , July 12. Cleaning Data at Scale , July 15. Scalable Data Science with Apache Hadoop and Spark , July 16. Effective Data Center Design Techniques: Data Center Topologies and Control Planes , July 19.

Course 93

Course Training Artificial Inteligence Software Review 93

Falcon Chronicles

OCTOBER 24, 2018

This isn’t just an AWS story, every other cloud provider (e.g. Microsoft Azure, Google Cloud Platform) has a parallel story of how they’ve built their services around security. Security became even a larger priority for cloud providers to support the demand from life sciences users as HIPAA Omnibus rule took effect on 2013.

Blockchain 40

Blockchain Big Data Cloud Data 40

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

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. Just queuing, not stream processing.

IoT 20

IoT Internet Weak Development Team Scalability 20

Altexsoft

JUNE 25, 2019

Although cloud environment is more cost-efficient, easier to scale up or down, and isn’t limited to a prescribed structure, it may lose to on-prem solution in terms of querying speed and security. Data architect can also design collective storage for your data warehouse – multiple databases running in parallel.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

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 Architecture 115

Confluent

MAY 22, 2019

This growth depends greatly on the overall reliability and scalability of IoT deployments. As IoT projects go from concepts to reality, one of the biggest challenges is how the data created by devices will flow through the system. On the other hand, Apache Kafka may deal with high-velocity data ingestion but not M2M.

IoT 98

IoT Google Cloud Scalability Microservices 98

CTOvision

OCTOBER 1, 2015

Tamr Catalog gives organizations a better way to discover, organize and communicate their data assets, much of which are considered “dark data,” or data that’s been processed and stored but is not often used. A "bottom-up" approach to data unification (radar.oreilly.com). tech council (betaboston.com).

Programming 102

Programming Google Cloud Analytics Enterprise 102

Mobilunity

APRIL 7, 2025

Java, being one of the most versatile, secure, high-performance, and widely used programming languages in the world, enables businesses to build scalable, platform-independent applications across industries. Meantime, beyond that, several recent trends are further accelerating this process. See them explained below.

UI/UX 40

UI/UX Technical Review Development Software Review 40

RapidValue

APRIL 20, 2020

Cloud load balancing helps other companies to give high level of performance at a lower cost as compared to that offered by traditional on-premises load balancing technology. Cloud load balancing takes advantage of the cloud’s scalability and agility to satisfy rerouted workload demands and to enhance overall availability.

Load Balancer 80

Load Balancer Resources Cloud Performance 80

O'Reilly Media - Ideas

APRIL 3, 2019

Introduction to Google Cloud Platform , June 3-4. Data science and data tools. Apache Hadoop, Spark, and Big Data Foundations , April 22. Data Structures in Java , May 1. Cleaning Data at Scale , May 13. Big Data Modeling , May 13-14. Fundamentals of Data Architecture , May 20-21.

Course 64

Course Artificial Inteligence Training Google Cloud 64

O'Reilly Media - Ideas

FEBRUARY 6, 2019

Data science and data tools. Business Data Analytics Using Python , February 27. Designing and Implementing Big Data Solutions with Azure , March 11-12. Cleaning Data at Scale , March 19. Practical Data Cleaning with Python , March 20-21. Scalable Programming with Java 8 Parallel Streams , March 27.

Artificial Inteligence 17

Artificial Inteligence Course Training Artificial Intelligence 17

O'Reilly Media - Ideas

JANUARY 2, 2019

Artificial Intelligence for Big Data , February 26-27. Data science and data tools. Apache Hadoop, Spark, and Big Data Foundations , January 15. Python Data Handling - A Deeper Dive , January 22. Practical Data Science with Python , January 22-23. SQL Fundamentals for Data , February 19-20.

Course 87

Course Artificial Inteligence Training Blockchain 87

O'Reilly Media - Ideas

JUNE 5, 2019

Programming with Data: Advanced Python and Pandas , July 9. Understanding Data Science Algorithms in R: Regression , July 12. Cleaning Data at Scale , July 15. Scalable Data Science with Apache Hadoop and Spark , July 16. Effective Data Center Design Techniques: Data Center Topologies and Control Planes , July 19.

Course 66

Course Training Artificial Inteligence Software Review 66

Xebia

JANUARY 19, 2023

The following quotes date back to those years: Data Engineers set up and operate the organization’s data infrastructure, preparing it for further analysis by data analysts and scientist. – AltexSoft All the data processing is done in Big Data frameworks like MapReduce, Spark and Flink. Embrace FinOps.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

Mobilunity

MARCH 25, 2025

It also provides insights into each language’s cost, performance, and scalability implications. Given its clear syntax, integration capabilities, extensive libraries with pre-built modules, and cross-platform compatibility, it has remained at the top for fast development, scalability, and versatility.

Software Review 40

Software Review Software Development Software Development 40

RapidValue

AUGUST 4, 2020

Design workloads for scalability and Cache storage strategically. You can monitor your organization’s cloud spending with Azure Cost Management. Google cloud cost optimization helps customers to manage their cloud operating expenses and right size their cloud costs according to the needs of the business.

Cloud 92

Cloud How To Azure AWS 92

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. Scalability. Scalability is one of Kafka’s key selling points.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

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

Altexsoft

JUNE 29, 2021

To automate and manage ML processes, they develop a scalable system known as a machine learning pipeline. In large, data-driven enterprises, MLEs are involved in MLOps, or automation of the entire model life cycle in production. Machine Learning and Artificial Intelligence on Google Cloud.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

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

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 Software Review Azure Machine Learning 59

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. The platform can become a pillar of a modern data stack , especially for large-scale companies.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 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

Mobilunity

DECEMBER 9, 2024

ML algorithms for predictions and data-based decisions; Deep Learning expertise to analyze unstructured data, such as images, audio, and text; Mathematics and statistics. Google Professional Machine Learning Engineer implies developers knowledge of design, building, and deployment of ML models using Google Cloud tools.

Engineering 52

Engineering Artificial Inteligence Machine Learning Artificial Intelligence 52

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

RapidValue

SEPTEMBER 9, 2019

Institutions and organizations are taking the appropriate steps to ensure that they are benefited by the offerings of cloud services. The Popular Cloud Platforms. Google Cloud Platform. Rackspace Cloud. Ways of Using Cloud Platforms – Increasing IT Infrastructure Flexibility. Big Data Analytics.

Disaster Recovery 20

Disaster Recovery Cloud Backup Big Data 20