Linux Academy

DECEMBER 1, 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 26

Linux Course AWS Google Cloud 26

The Crazy Programmer

NOVEMBER 14, 2021

Because Google also launched its search engine’s beta version in 2008, and in early 2008 Microsoft announced its Microsoft Azure for the testing phase, deployment, and even for the managing applications. Google also presented its Google Cloud in 2012, but it finally got available to the public in 2013. Conclusion.

Cloud 203

Cloud Technical Review Systems Review Azure 203

InfoWorld

FEBRUARY 9, 2024

It is built around a data lake called OneLake, and brings together new and existing components from Microsoft Power BI, Azure Synapse, and Azure Data Factory into a single integrated environment. In many ways, Fabric is Microsoft’s answer to Google Cloud Dataplex. As of this writing, Fabric is in preview.

Big Data 78

Big Data Data Azure Google Cloud 78

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.

Google Cloud 52

Google Cloud Cloud IoT Artificial Inteligence 52

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 25

Linux Course AWS Google Cloud 25

Cloudera

FEBRUARY 7, 2019

Enabling this transformation is the HDP platform, along with SAS Viya on Google Cloud , which has delivered machine learning models and personalization at scale. This has become a core component of the fraud management framework for the business, and has helped solidify its role as the trusted keeper of sensitive data.

Big Data 67

Big Data Analytics Google Cloud Cloud 67

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 Open Source 59

Linux Academy

SEPTEMBER 30, 2019

We will also cover the different data types that are allowed in MySQL, and discuss user access and privileges. Google Cloud Functions is a serverless, event-driven, managed platform for building and connecting cloud services. Google Cloud Essentials (NEW). Big Data Essentials.

Linux 22

Linux Course Serverless Google Cloud 22

Linux Academy

NOVEMBER 1, 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 104

Linux Course AWS Google Cloud 104

Linux Academy

APRIL 30, 2019

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. Big Data Essentials – Big Data Essentials is a comprehensive introduction to the world of big data.

Linux 113

Linux AWS Big Data Course 113

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

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. Cloud computing is the process of storing and accessing data over the internet, rather than a computer’s hard drive.

Google Cloud 52

Google Cloud Azure AWS Cloud 52

Linux Academy

MAY 28, 2019

Use Secrets to protect sensitive data like passwords. Google Cloud Essentials – This course is designed for those who want to learn about Google Cloud: what cloud computing is, the overall advantages Google Cloud offers, and detailed explanations of all major services – what they are, their use cases, and how to use them.

Linux 104

Linux AWS Azure Technical Review 104

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 25, 2019

It’s necessary to figure out how to get sales data from its dedicated database talk with inventory records kept in a SQL server , for instance. This creates the necessity for integrating data in unified storage where data is collected, reformatted, and ready for use – data warehouse. Data warehouse storage.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

Perficient

FEBRUARY 16, 2023

The Data Catalog serves as an inventory of available data and provides information to evaluate the usefulness and quality of data to answer business questions and make better business decisions. Data Catalogs have become the standard for metadata management in the age of big data and self-service business intelligence.

Data 110

Data Google Cloud Analytics Cloud 110

Linux Academy

FEBRUARY 26, 2019

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. Big Data Essentials — Big Data Essentials is a comprehensive introduction to the world of big data.

Linux 80

Linux AWS Big Data Course 80

Linux Academy

NOVEMBER 1, 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 15

Linux Course AWS Google Cloud 15

ParkMyCloud

JANUARY 17, 2020

AWS Certified Big Data – Speciality. For individuals who perform complex Big Data analyses and have at least two years of experience using AWS. Implement core AWS Big Data services according to basic architecture best practices. Design and maintain Big Data. Azure Fundamentals.

Google Cloud 9

Google Cloud Azure AWS Cloud 9

Altexsoft

JANUARY 14, 2021

Snowflake, Redshift, BigQuery, and Others: Cloud Data Warehouse Tools Compared. From simple mechanisms for holding data like punch cards and paper tapes to real-time data processing systems like Hadoop, data storage systems have come a long way to become what they are now. Is it still so?

Backup 115

Backup Azure Software Review Architecture 115

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

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 Big Data 18

Falcon Chronicles

OCTOBER 24, 2018

The public cloud has transformed the way software applications run. It has essentially allowed businesses and institutions of all types to gain access to on-demand computing, storage and more. It also made collaboration more seamless as it provided the opportunity for shared data sources and easier sharing of results.

Blockchain 40

Blockchain Big Data Cloud Data 40

Linux Academy

NOVEMBER 6, 2019

Google Cloud Content. Google Cloud Stackdriver Deep Dive. Google Cloud Apigee Certified API Engineer. Google Cloud Certified Professional Cloud Security Engineer. Enable Archiving with Azure Blob Storage. Using SQL to Retrieve Data. Using SQL to Change Data.

Google Cloud 16

Google Cloud Linux Azure AWS 16

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

JUNE 25, 2019

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? We’ll provide a simple introduction to the concepts of Cloud Computing, Google Cloud Platform, and it’s core services.

Linux 60

Linux Course Cloud Google Cloud 60

RapidValue

AUGUST 4, 2020

Managing the cost variables like Reserved Instances (RIs), upfront payment and storage types are critical for successful IT, DevOps, Security, and Finance teams. Heatmaps are important mechanisms for cloud cost optimization. Minimize data transfer costs. Design workloads for scalability and Cache storage strategically.

Cloud 92

Cloud How To Azure AWS 92

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 98

IoT Google Cloud Scalability Microservices 98

Altexsoft

JANUARY 22, 2020

Once the user wants to query data for analysis, he or she will pass parameters to define the required portion of the information, for instance: Product: leather strap. The system would understand which data to fetch from a storage. So each piece of data passing the given parameters would be a batch. Stream processing.

Analytics 20

Analytics Data IoT Analysis 20

Hu's Place - HitachiVantara

MAY 10, 2019

For this reason, many financial institutions are converting their fraud detection systems to machine learning and advanced analytics and letting the data detect fraudulent activity. A data pipeline that is architected around so many piece parts will be costly, hard to manage and very brittle as data moves from product to product.

Data 90

Data Artificial Inteligence Machine Learning Weak Development Team 90

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

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

Linux Academy

APRIL 29, 2019

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. Big Data Essentials – Big Data Essentials is a comprehensive introduction to the world of big data.

Linux 60

Linux AWS Big Data Course 60

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. Data disappears.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

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? How does DBFS work?

System 52

System Storage Azure Big Data 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 Software Review Azure Machine Learning 59

Confluent

OCTOBER 10, 2019

Apache Kafka is an event streaming platform that combines messaging, storage, and processing of data to build highly scalable, reliable, secure, and real-time infrastructure. Long-term storage and buffering. Hybrid, multi-cloud, and global deployments. Apache Kafka as an event streaming platform. High throughput.

IoT 20

IoT Internet Weak Development Team Scalability 20