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 331

Data Database Administration Data Engineering Artificial Inteligence 331

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

Perficient

FEBRUARY 16, 2023

The five capabilities are: Create a Data Catalog Create a Data Governance organization Implement data quality analysis and reporting Implement category-based security in the Data Lake Have multiple data zones inside the Data Lake In this article, we will discuss the Data Catalog.

Data 110

Data Google Cloud Analytics Cloud 110

Perficient

FEBRUARY 21, 2023

In this blog, we discuss the third capability: Implementing data quality analysis and reporting. Source systems often do not have the computing or storage capacity to perform iterative detailed quality analysis on the data. Improving Data Quality While quality analysis is most often performed in the Data Lake.

Data 108

Data Analysis Analytics Google Cloud 108

ParkMyCloud

AUGUST 4, 2020

During its virtual Google Cloud Next ’20 “On Air” series, Google announced the introduction of BigQuery Omni. This is an extension of its existing BigQuery data analytics solution to now analyze data in multiple public clouds, currently including Google Cloud and Amazon Web Services (AWS), with Microsoft Azure coming soon.

Google Cloud 57

Google Cloud Cloud Azure AWS 57

CIO

APRIL 24, 2023

To that end, University of California, Riverside has launched an ambitious cloud transformation to shift from a small on-premises data center to an advanced research platform powered by Google Cloud Platform and its various service offerings. There are experts on Google’s side, too,” Kennedy says.

Research 130

Research Cloud Fractional CTO Data Center 130

Cloudera

APRIL 22, 2022

As Disruptive Analysis has said for some time, “The first industry that 5G will transform is the telecom industry itself.”. Telcos’ internal data and cloud needs may not mirror their corporate customers’ strategies and timing perfectly, especially given the diverse connectivity landscape they will be working with.

Enterprise 133

Enterprise Data Network Storage 133

CIO

DECEMBER 22, 2023

Data has become a primary way for businesses to conduct analysis and assist with business decision-making — and most of that data is now stored in the cloud. Role growth: 16% of companies have added cloud developer roles as part of their cloud investments.

Cloud 325

Cloud Company Disaster Recovery Software Engineering 325

TechCrunch

MAY 18, 2022

“We’ve built a data architecture that keeps data private on the customer’s storage, separating the data plane and control plane,” Malyuk added. In an MIT analysis of popular AI data sets, researchers found mislabeled data like one breed of dog confused for another and an Ariana Grande high note categorized as a whistle.

Open Source 203

Open Source Weak Development Team Artificial Inteligence Data 203

OTS Solutions

JUNE 2, 2023

Predictive maintenance utilizes real-time monitoring and analysis of equipment data to forecast potential equipment failures and take corrective action to prevent downtime. Careful consideration of security measures, such as encryption and secure data storage, is necessary when using mobile apps for predictive maintenance. Industry 4.0

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

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. Amazon AWS.

Engineering 52

Engineering Cloud Google Cloud Azure 52

RapidValue

AUGUST 4, 2020

Once these challenges have been solved, organizations are able to obtain a right-sized, efficient, optimized and elastic cloud in place. Cloud Cost Optimization Techniques – The Best Practices. In case of cloud computing, you require a careful and efficient approach for continuous monitoring and analysis.

Cloud 92

Cloud How To Azure AWS 92

KitelyTech

AUGUST 21, 2023

For many businesses, this is the defining reason why cloud computing is so important. In business, companies use cloud resources for data storage and software access. Because they are remote, cloud systems can be accessed from almost anywhere. Systems like Dropbox and Google Drive are perfect examples of this.

Applications 52

Applications Cloud Development KPI 52

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. This means knowing the trade-offs with design patterns, technologies, and tools in source systems, ingestion, storage, transformation, and serving data.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

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. In this course, we are going to jump right into deploying Hadoop, configuring HDFS, and executing MapReduce jobs.

Linux 80

Linux AWS Big Data Course 80

Abhishek Tiwari

DECEMBER 22, 2017

Cheap storage and on-demand compute in the cloud coupled with the emergence of new big data frameworks and tools are forcing us to rethink the whole ETL and data warehousing architecture. More importantly, ELT architecture is stateless and elastic because compute and storage layers are decoupled and they can scale independently.

Storage 40

Storage Big Data Google Cloud Analysis 40

Mobilunity

DECEMBER 9, 2021

It is the primary reason for cloud optimization. As we have already mentioned, companies waste a significant part of their budget since they don’t use all the cloud capacity. And thanks to optimization and careful analysis of the necessary resources, you can buy as much space as needed. Find your candidate here. >>>

Cloud 52

Cloud Google Cloud Azure Serverless 52

Apiumhub

MARCH 12, 2024

Implementation: Using edge computing frameworks like AWS IoT Greengrass or Azure IoT Edge to deploy machine learning models directly on edge devices for real-time data analysis. We use it to increase storage capacity and the power of the processor. Most employees are quite happy when they know that they can take their work anywhere.

Trends 52

Trends Innovation Cloud Serverless 52

Tenable

FEBRUARY 9, 2024

A whopping 51% of compromises suffered by Google Cloud customers in 2023 were caused by credential issues, namely the use of weak passwords or of no passwords at all. That’s a key insight from the “H1 2024 Threat Horizons Report,” published this week by Google's Cybersecurity Action Team.

Weak Development Team 66

Weak Development Team Infrastructure Generative AI Artificial Inteligence 66

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

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. The best cloud analytics solutions offer cutting-edge methods of analyzing unstructured data and extracting the valuable insights it contains.

Analytics 52

Analytics Artificial Inteligence Cloud Artificial Intelligence 52

ParkMyCloud

JANUARY 17, 2020

Leverage tools to automate data analysis. Intended for individuals that have an expertise in network, compute, security and storage so that they can design solutions that run on Azure. This certification is a good starting point for those new to cloud and can be used as a path to professional level certifications.

Google Cloud 9

Google Cloud Azure AWS Cloud 9

OTS Solutions

JUNE 9, 2023

This involves determining the programming language, and runtime environment, identifying the data storage and retrieval mechanisms, and analyzing the integration and communication requirements. Evaluate the Technology Stack Once you understand the business requirements, the next step is to evaluate the technology stack.

Enterprise 130

Enterprise Applications Development Scalability 130

OTS Solutions

JUNE 9, 2023

This involves determining the programming language, and runtime environment, identifying the data storage and retrieval mechanisms, and analyzing the integration and communication requirements. Evaluate the Technology Stack Once you understand the business requirements, the next step is to evaluate the technology stack.

Enterprise 130

Enterprise Applications Development Scalability 130

Tenable

NOVEMBER 29, 2022

While cloud computing providers such as Amazon Web Services (AWS), Google Cloud Platform (GCP) and Microsoft Azure offer robust and scalable services, securing your cloud environment brings its own unique challenges. You can reduce risk by addressing these eight common cloud security vulnerabilities and misconfigurations.

Applications 52

Applications Cloud Software Review Systems Review 52

ParkMyCloud

MAY 22, 2020

Azure Cost Management can be a useful tool in your arsenal: “Listed as “cost management + billing” in the Azure portal, the Azure Cost Management service’s cost analysis feature offers comprehensive insights into the costs incurred by your Azure resources—starting from the subscription level. 16 Tips to Manage Cloud Costs.

Azure 104

Azure Serverless Authentication Cloud 104

Confluent

FEBRUARY 6, 2019

This can either be built natively around the Kafka ecosystem, or you could use Kafka just for ingestion into another storage and processing cluster such as HDFS or AWS S3 with Spark. Managed model server in the public cloud like Google Cloud Machine Learning Engine: The cloud provider takes over the burden of availability and reliability.

Machine Learning 106

Machine Learning Artificial Inteligence Scalability Data Engineering 106

ParkMyCloud

FEBRUARY 20, 2020

They are useful for video editing, and AWS also lists use cases of “computational fluid dynamics, computational finance, seismic analysis, speech recognition, autonomous vehicles” – so it’s fairly specialized. Applications could include genomics research, financial analysis, and real-time video processing. Storage Optimize.

Comparison 71

Comparison How To AWS Machine Learning 71

Mobilunity

AUGUST 3, 2021

Databases are the core of data storage and organization. Cloud computing. Clouds are significant in storing and managing data sets since they present distributed access and better scalability than on-premises servers. Data warehouses store immense volumes of data for query and analysis. Data warehousing.

Big Data 52

Big Data Data Engineering Engineering Data 52

Protera

OCTOBER 25, 2022

Core benefits of operating SAP on the public cloud include cost savings as well as higher agility, scalability, and resiliency. Top hyperscalers like AWS, Azure, and Google Cloud each have unique requirements and benefits that must be evaluated by enterprises before they select a provider. Cloud migration.

Cloud 52

Cloud How To Azure Weak Development Team 52

Openxcell

MAY 12, 2023

Millions of dollars are spent each month on public cloud companies like Amazon Web Services, Microsoft Azure, and Google Cloud by companies of all sizes. These three cloud services are the most secure, adaptable, and dependable cloud services that dominate the public cloud market.

Google Cloud 52

Google Cloud Azure AWS Cloud 52

Apps Associates

AUGUST 26, 2021

Boston Dynamics needed a scalable analytics solution that better supported its robots in the field – with stronger data capture and analysis – enabling it to meet long-term company goals that now include commercial sales, product reliability and product improvement at scale. Google Cloud Platform (GCP): Streaming IoT data.

Google Cloud 52

Google Cloud IoT Analytics Cloud 52

O'Reilly Media - Ideas

JUNE 6, 2023

AI LMSYS ORG (Large Model Systems Organization), a research cooperative between Berkeley, UCSD, and CMU, has released ELO ratings of large language models, based on a competitive analysis. Google has announced Codey , a code generation model similar to Codex. Not surprisingly, GPT 4 is the leader.

Artificial Inteligence 96

Artificial Inteligence Trends ChatGPT Open Source 96

Openxcell

JUNE 21, 2022

This data migration service runs on Google cloud or aws cloud, and hence is able to access target databases as well as source databases. It becomes easier for them to directly take reports or analysis or any sort of data rather than juggling between unsynced databases. AWS database migration service costs as low as $3.

Tools 52

Tools Data Azure AWS 52

Abhishek Tiwari

JULY 22, 2023

For instance, terraform-compliance can enforce that all AWS EC2 instances have specific tags defined or that all Google Cloud resources have encryption enabled. Checkov: Checkov is a static code analysis tool. It allows organizations to define compliance rules using natural language constructs or BDD like specifications.

Policies 52

Policies Compliance Software Review AWS 52

Hypergrid

NOVEMBER 15, 2018

For organizations that are planning how to scale their operations and presence in the public cloud. However, many businesses cite the lack of upfront cost transparency as being one of the biggest impediments to deploying robust DR in the cloud. Compliance Analysis and Remediation. Proactive Disaster Recovery.

Disaster Recovery 56

Disaster Recovery Cloud Lambda Azure 56

Protera

JUNE 21, 2022

Real-time analytics powers things like accurate future forecasting and trend analysis while enabling companies to integrate data analytics at every stage of the supply chain and in other core business functions. We use a combination of methods like storage replication, database replication, backup and restore, or fresh build.

Systems Review 52

Systems Review Cloud Enterprise Azure 52