Dataiku

SEPTEMBER 18, 2023

In the realm of data preparation and business intelligence (BI), the collaboration between Dataiku ( a Google Cloud Ready - Cloud SQL Partner ) and Google Cloud SQL presents a transformative opportunity for organizations seeking to optimize their data workflows and glean actionable insights.

Google Cloud 75

Google Cloud Cloud Data Business Intelligence 75

Linux Academy

APRIL 9, 2019

Ready to learn Google Cloud by doing? From new courses to new labs, we have a ton of exciting new Google Cloud updates at Linux Academy ( where you can get the most Google Cloud training on this planet! ). Google Cloud Sandboxes. Google Cloud Labs. Utilizing Google Cloud Pub/Sub.

Google Cloud 60

Google Cloud Training Cloud Linux 60

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.

Cloud 203

Cloud Technical Review Systems Review Azure 203

CIO

JUNE 7, 2024

For example, the company bought Valcour Wind Energy’s six wind farms in New York and also builds and operates solar farms and storage systems in California, Arizona, and several other US states, as well as in Brazil and Argentina. The energy sector as a whole on average is targeting to become net-zero emissions in the 2031-2035 time frame.

Energy 193

Energy Sustainability Artificial Inteligence Machine Learning 193

Xebia

DECEMBER 15, 2022

The challenge is to retrieve artifacts from JFrog Artifactory by a Virtual Machine (VM) in Google Cloud (GCP), whilst using some sort of authentication and authorization mechanism (IAM). Below we present more detail on the design of the PoC and provide code snippets to do this for your own solution. The challenge.

Software Review 130

Software Review Azure Google Cloud Storage 130

CIO

OCTOBER 13, 2023

Cloud data architect: The cloud data architect designs and implements data architecture for cloud-based platforms such as AWS, Azure, and Google Cloud Platform. Data security architect: The data security architect works closely with security teams and IT teams to design data security architectures.

Data 199

Data Data Engineering Database Administration Artificial Inteligence 199

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

Presidio

JULY 13, 2018

Presidio attendees and presenters at Cisco Live 2018 experienced so much, it’s hard to choose where to begin. Interacting with some 26,000 IT professionals in attendance, our team strengthened bonds with key technology partners while presenting Presidio’s own unique approach to deploying Cisco solutions. HyperFlex 3.5

Google Cloud 57

Google Cloud Cloud Data Center Network 57

Lacework

SEPTEMBER 19, 2023

With the launch of dozens of new detections including cloud storage enumeration, service account deletion, and changes in network communication, the findings on data analyzed by Lacework’s enhanced visibility has grown significantly. Lacework provides deeper and broader detections through a variety of upgraded capabilities.

Google Cloud 116

Google Cloud Cloud Storage .Net 116

Capgemini

FEBRUARY 3, 2023

‘CAPGEMINI EARTHLINGS ECOPRENEUR’ PLATFORM EMPOWERs EMPLOYEES TOWARDS REACHING NET ZERO GOALS- POWERED BY GOOGLE CLOUD Tamalika Chakraborty/ Shoubhik Ghosh/ Debasish Rakshit 3 Feb 2023 Facebook Twitter Linkedin Capgemini is committed to be carbon neutral for its own operations and be a net zero business by 2030.

Google Cloud 52

Google Cloud .Net KPI Cloud 52

Altexsoft

MAY 20, 2020

These hardware components cache and preprocess real-time data, reducing the burden on central storages and main processors. 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. Microsoft Azure IoT.

IoT 141

IoT Azure AWS Transportation 141

Perficient

FEBRUARY 16, 2023

A data catalog is essential to knowledge workers because it combines and organizes details about data assets in the data lake by presenting them in an easy-to-understand format. Integrations with BigQuery, Pub/Sub, Cloud Storage, and many connectors provide a unified view and tagging mechanism for technical and business metadata.

Data 110

Data Google Cloud Analytics Cloud 110

Xebia

APRIL 18, 2023

It’s expected that the reader does have some knowledge about basic cloud concepts, such as VPC and firewall rules, or have the ability to find the documentation for this when needed. The examples will be presented as Google Cloud Platform (GCP) resources, but can in most cases be inferred to other public cloud vendors.

Load Balancer 130

Load Balancer Network Firewall Google Cloud 130

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. Cloud data warehouses can be categorized in multiple ways.

Backup 115

Backup Azure Software Review Architecture 115

ParkMyCloud

JANUARY 17, 2020

Following the Azure learning path under Microsoft, there are certifications available that allow you to demonstrate your expertise in Microsoft cloud-related technologies and advance your career by earning one of the new Azure role-based certifications or an Azure-related certification in platform, development, or data. Azure Fundamentals.

Google Cloud 9

Google Cloud Azure AWS Cloud 9

Perficient

FEBRUARY 21, 2023

Source systems often do not have the computing or storage capacity to perform iterative detailed quality analysis on the data. Pandas Profiling also generates interactive reports in a web format that can be presented to any person, even if they don’t know programming.

Data 108

Data Analysis Analytics Google Cloud 108

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.

Linux 113

Linux AWS Big Data Course 113

CIO

JULY 13, 2022

A few observations on the modern stack diagram: Note the number of different boxes that are present. This presents a unique set of challenges. The newer “extract/load” tools seem to focus primarily on cloud data sources with schemas.

System 133

System Enterprise Data Cloud 133

CIO

JANUARY 26, 2023

That way the group that added too many fancy features that need too much storage and server time will have to account for their profligacy. Smaller teams with simple configurations can probably get by with the stock services of the cloud companies. Cost containment is a big issue for many CIOs now and the cloud companies know it.

Tools 174

Tools Cloud Artificial Inteligence Artificial Intelligence 174

OTS Solutions

FEBRUARY 16, 2023

Cloud computing can be defined as storing and accessing data over the internet and not on a personal computer. It is a shared pool that is made up of two words cloud and computing where cloud is a vast storage space and computing means the use of computers. These clouds can be of several types.

Cloud 130

Cloud Artificial Inteligence Disaster Recovery Internet 130

Tenable

MARCH 21, 2024

Same-site attacks and a neglected guardrail Exposing a much broader problem in which major CSPs are at risk Background Many services in cloud environments share the same parent domain. For example, in AWS, Amazon Simple Storage Service (S3), Amazon API Gateway and other services share the “amazonaws.com” domain.

AWS 132

AWS Azure Authentication Software Review 132

Mobilunity

JANUARY 28, 2025

Complexity of multi-cloud environments Adopting a multi-cloud strategy brings out complexity when managing costs across multiple providers. Each cloud platform (e.g., AWS, Azure, Google Cloud) has unique pricing models and billing formats, challenging spending consolidation and optimization. startups using AWS).

Budget 40

Budget Cloud Tools Weak Development Team 40

Linux Academy

MAY 28, 2019

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

John Snow Labs

APRIL 29, 2025

It also uses a secured on-premises infrastructure to store and manage data on local storage. It offers configurable layouts and seamless integration with your ML/AI pipeline through webhooks, APIs, and cloud storage. Key Features ML-assisted labeling: Automatically suggest labels based on the ML models prediction.

Artificial Inteligence 52

Artificial Inteligence Training Tools Generative AI 52

CircleCI

APRIL 8, 2022

This token enables your CircleCI jobs to authenticate with cloud providers that support OpenID Connect like AWS, Google Cloud Platform, and Vault. In your CI workflow, you may want to upload binaries, test artifacts, or logs to cloud storage. Introducing OpenID Connect identity tokens in CircleCI jobs!

Authentication 95

Authentication Cloud AWS Storage 95

Altexsoft

APRIL 16, 2021

This could be a transactional database or any other storage we take data from. A transactional or OLTP database is a common storage solution we deal with to record any of our business information. OLAP or Online Analytical Processing aggregates transactional data from a storage to transform it into a feasible form for analysis.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

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. Students will get hands-on training by installing and configuring containers and thoughtfully selecting a persistent storage strategy.

Linux 80

Linux AWS Big Data Course 80

Cloudera

JUNE 2, 2022

Some of the more popular viral blogs and LinkedIn posts describe it as the following: A few observations on the modern stack diagram: Note the number of different boxes that are present. This presents a unique set of challenges. The newer “extract/load” tools seem to focus primarily on cloud data sources with schemas.

System 104

System Enterprise Data Cloud 104

Datica

SEPTEMBER 11, 2019

Find part one of our 50 Best HIPAA-Compliant Cloud Storage Solutions here. Over the last few years, cloud storage has risen both in popularity and effectiveness. The convenience of cloud computing is undeniable, allowing users to access data, apps, and services from any location with an Internet connection.

Storage 8

Storage Cloud Backup Mobile 8

Xebia

JANUARY 19, 2023

The authors divide the data engineer lifecycle into five stages: Generation Storage Ingestion Transformation Serving Data The field is moving up the value chain, incorporating traditional enterprise practices like data management and cost optimization and new practices like DataOps. Lastly, do not forget to back up your data. Data disappears.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

CIO

NOVEMBER 1, 2022

With four ultra high-performance data centers in South Africa – including facilities in Cape Town, Durban, and Johannesburg – the company forms the core of the nation’s internet backbone, and serves as the interconnection for both local and global cloud services. Silicon Sky specializes in Infrastructure as a Service (IaaS).

Cloud 158

Cloud Data Center Energy Innovation 158

Altexsoft

JANUARY 22, 2020

Streaming analytics or Real-time analytics is a type of data analysis that presents real-time data and allows for performing simple calculations with it. The main purpose of it is to present the user with up-to-date information and keep the state of data updated. The system would understand which data to fetch from a storage.

Analytics 20

Analytics Data IoT Analysis 20

Confluent

SEPTEMBER 20, 2019

A distributed streaming platform combines reliable and scalable messaging, storage, and processing capabilities into a single, unified platform that unlocks use cases other technologies individually can’t. In the same way, messaging technologies don’t have storage, thus they cannot handle past data.

Software Review 21

Software Review Technical Review Storage Cloud 21

OTS Solutions

APRIL 23, 2023

Infrastructure components are servers, storage, automation, monitoring, security, load balancing, storage resiliency, networking, etc. Unlock Your Business’s Potential with Cloud Computing Our team of experts can help you leverage the power of cloud computing to achieve your business goals. Q: Is the cloud secure?

Cloud 130

Cloud Disaster Recovery Weak Development Team Firewall 130

Altexsoft

MAY 12, 2023

We will discuss the different data types, storage and management options, and various techniques and tools for unstructured data analysis. Audio data is usually presented in formats such as MP3 (.mp3), Image files come in various formats, such as JPEG (.jpg,jpeg), jpg,jpeg), PNG (.png), png), GIF (.gif), gif), TIFF (.tiff),

Examples 59

Examples Tools Data Artificial Inteligence 59

Perficient

MARCH 19, 2024

I got an email from Google Cloud Platform today entitled: [Action Required] Upgrade to Artifact Registry before March 18, 2025 This is not the first time Google has discontinued a product I use. Both Container Registry and Artifact Registry are priced based on storage costs and network egress.

Google Cloud 52

Google Cloud Storage Cloud Network 52

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. From an IoT perspective, Kafka presents the following tradeoffs: Pros. From an IoT perspective, Kafka presents the following tradeoffs: Pros. Large scale.

IoT 20

IoT Internet Weak Development Team Scalability 20