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

InfoWorld

FEBRUARY 9, 2024

Microsoft Fabric is an end-to-end, software-as-a-service (SaaS) platform for data analytics. Microsoft Fabric encompasses data movement, data storage, data engineering, data integration, data science, real-time analytics, and business intelligence, along with data security, governance, and compliance.

Big Data 78

Big Data Azure Google Cloud Data 78

CIO

OCTOBER 13, 2023

Analytics/data science architect: These data architects design and implement data architecture supporting advanced analytics and data science applications, including machine learning and artificial intelligence. Information/data governance architect: These individuals establish and enforce data governance policies and procedures.

Data 319

Data Database Administration Data Engineering Artificial Inteligence 319

The Crazy Programmer

SEPTEMBER 25, 2023

Get 1 GB of free storage. Features: 1GB runtime memory 10,000 API requests 1GB Object Storage 512MB storage 3 Cron tasks Try Cyclic Google Cloud Now developers can experience low latency networks & host your apps for your Google products with Google Cloud. You can host various other Node.js

Serverless 180

Serverless AWS Google Cloud Azure 180

CIO

APRIL 25, 2024

This strategy alone — achieved with the DIY approach — was responsible for saving $300,000 when his team dug into expenses surrounding Google Cloud Platform log storage, resulting in his team moving the logs to a lower tier of cloud storage and rightsizing the data they retain to adhere to retention requirements.

Tools 272

Tools Cloud AWS Off-The-Shelf 272

CIO

FEBRUARY 3, 2023

as there’s lower advertising spend, there’s less analytics and compute on advertising spend as well,” Olsavsky said, according to a Motley Fool transcript. Google’s cloud revenue growth also slowed to 32% for Q4, down from 38% in the previous sequential quarter. In Q4, Google Cloud reported revenue of $7.3

AWS 237

AWS Azure Advertising Google Cloud 237

CIO

NOVEMBER 4, 2022

To achieve what the company would need going forward, McCowan knew Regeneron would have to undergo a major transformation and build a more enhanced data pipeline that could inject data from up to 1,000 data sources in “analytical ready formats” for both the business and the scientists to consume, the CIO says.

Pharmaceuticals 274

Pharmaceuticals Technical Review AWS Machine Learning 274

Dzone - DevOps

FEBRUARY 9, 2023

Trino was designed to handle data warehousing, ETL, and interactive analytics by large amounts of data and producing reports. Alluxio is an open-source data orchestration platform for large-scale analytics and AI.

Open Source 90

Open Source Google Cloud Storage Analytics 90

CIO

JANUARY 17, 2024

Reporting standardization One of Ipsos’ latest digital transformation-related projects is the move of its reporting and analytics to a standard digital delivery platform. This project aims to enable the company to transform its insight delivery by using a cloud-enabled infrastructure and proprietary reporting engine, built on open standards.

Artificial Inteligence 280

Artificial Inteligence Artificial Intelligence Analysis Azure 280

Altexsoft

APRIL 16, 2021

used for analytical purposes to understand how our business is running. In this article, we’ll talk about such a solution —- Online Analytical Processing , or OLAP technology. What is OLAP: Online Analytical Processing. This could be a transactional database or any other storage we take data from. Analytical interface.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

Palo Alto Networks

JUNE 4, 2019

In this post, guest bloggers Vineet Bhan, Sheba Roy and Ashish Verma of Google Cloud share a closer look at product integrations between Google Cloud and Palo Alto Networks. The NGFW policy engine also provides detailed telemetry from the service mesh for forensics and analytics.

Google Cloud 46

Google Cloud Network Cloud Load Balancer 46

Palo Alto Networks

JUNE 4, 2019

In this post, guest bloggers Vineet Bhan, Sheba Roy and Ashish Verma of Google Cloud share a closer look at product integrations between Google Cloud and Palo Alto Networks. The NGFW policy engine also provides detailed telemetry from the service mesh for forensics and analytics.

Google Cloud 40

Google Cloud Network Cloud Load Balancer 40

ParkMyCloud

APRIL 11, 2019

Today, we’ll take a brief look at cloud storage cost comparison from the three major cloud service providers. The leading cloud service providers have certain fortes and weaknesses that ultimately differentiate each one of them to be the potential solution to support your development infrastructure, operations and applications.

Comparison 62

Comparison Azure Storage AWS 62

TechCrunch

FEBRUARY 24, 2021

“The classic problem with these cluster-based databases is that they’ve got locally attached storage. “So we built a new storage layer which delivers […] SSD-like performance using nothing but cloud storage and diskless spot instances,” Kagan explained.

Data 177

Data Storage Metrics Google Cloud 177

Datavail

JULY 7, 2022

The trends are clear: more and more companies are adopting cloud analytics to satisfy their increasing need for cutting-edge business insights. For example, the global cloud analytics market size was $19.04 There are many explanations for why businesses of all sizes and industries are shifting to cloud analytics.

Analytics 52

Analytics Artificial Inteligence Cloud Artificial Intelligence 52

CIO

DECEMBER 9, 2022

After acquiring operations like Siemens’ IT subsidiary and Xerox’s IT outsourcing business — as well as entering a global partnership with Google Cloud to help secure artificial intelligence (AI) systems — Atos was facing the type of inorganic growth that often follows a series of mergers.

Innovation 238

Innovation Artificial Intelligence Artificial Inteligence Journal 238

Altexsoft

SEPTEMBER 21, 2023

What if we told you that one of the world’s most powerful search and analytics engines started with the humble goal of organizing a culinary enthusiast’s growing list of recipes? First publicly introduced in 2010, Elasticsearch is an advanced, open-source search and analytics engine that also functions as a NoSQL database.

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 52

Perficient

FEBRUARY 16, 2023

Integrations with BigQuery, Pub/Sub, Cloud Storage, and many connectors provide a unified view and tagging mechanism for technical and business metadata. Google Data Catalog empowers all knowledge workers in the organization to find or tag data with a powerful UI, built with the same search technology as Gmail, or via API access.

Data 110

Data Google Cloud Analytics Cloud 110

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

Cloudera

FEBRUARY 7, 2019

Who knew that in that search, the company would become the first organization to globally run SAS Viya, a cloud-optimized software, with HDP on GCP to enable modern analytics use cases powered by SAS analytics tools. Reducing Analytic Time to Value by More Than 90 Percent. Check out our customer stories.

Big Data 65

Big Data Analytics Google Cloud Cloud 65

CIO

JANUARY 20, 2023

In particular, companies that were leaders at using data and analytics had three times higher improvement in revenues, were nearly three times more likely to report shorter times to market for new products and services, and were over twice as likely to report improvement in customer satisfaction, profits, and operational efficiency.

Data 315

Data Compliance Architecture Technical Review 315

CIO

DECEMBER 22, 2023

Skills: Relevant skills for a cloud developer include programming languages such as Java, C#, and Python as well as knowledge of popular cloud platforms, microservices architecture, database storage, agile methodology, APIs and SKDs, and containers and orchestration.

Cloud 300

Cloud Company Disaster Recovery Software Engineering 300

Mobilunity

JULY 14, 2021

However, the carbon footprint of cloud workloads can be and should be reduced, and this can be achieved following the same best practices and using the same monitoring and data analytics tools as for other cloud-optimizing types. What Resources Are Needed for Cloud Migration and Optimization? Understand the context.

Resources 52

Resources Storage Cloud DevOps 52

CIO

SEPTEMBER 2, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Business systems analyst.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

CIO

AUGUST 31, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Business systems analyst.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

Perficient

FEBRUARY 16, 2024

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. DBFS provides a unified interface to access data stored in various underlying storage systems. What is DBFS?

System 52

System Storage Azure Big Data 52

Datavail

DECEMBER 2, 2021

Snowflake took the market by storm when it introduced its innovative cloud-based data warehouse technology in 2014. It is one of the first data warehousing platforms offered as a software as a service (SaaS) product with storage, compute, and cloud services operating separately and billing as independent units.

Data 98

Data Analytics Azure Storage 98

Ivanti

FEBRUARY 18, 2022

The ISA-6000 now includes two 1/10Gbit ports for faster connectivity, fast 6Gb/s solid-state storage, double the RAM of the PSA-5000 series appliance and an onboard TPM chip to ensure software and operating system integrity. Telemetry and analytics. The ISA Series appliances are designed from the ground up with analytics in mind.

Google Cloud 73

Google Cloud Virtualization Hardware Operating System 73

Perficient

FEBRUARY 28, 2023

In this blog, we discuss the fifth capability : Having multiple data zones inside the Data Lake A data lake is typically defined as a centralized and scalable storage repository that holds large volumes of raw data from multiple sources and systems in its native format. The Strategic Zone In the strategic zone, data is enhanced.

Data 110

Data Analytics Google Cloud Cloud 110

Altexsoft

MAY 12, 2023

We will discuss the different data types, storage and management options, and various techniques and tools for unstructured data analysis. Data ingestion tools are software applications or services designed to collect, import, and process data from various sources into a central data storage system or repository. Scalability.

Examples 59

Examples Tools Data Artificial Inteligence 59

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

CIO

MARCH 31, 2023

And for AMD’s most critical engineering applications, the answer remains its own data centers — not the cloud. That’s because chipmakers like AMD require mega cores of compute power and memory, as well as petabytes of storage, to run their design applications.

Engineering 255

Engineering Data Center AWS Cloud 255

Perficient

FEBRUARY 21, 2023

Source systems often do not have the computing or storage capacity to perform iterative detailed quality analysis on the data. Our cloud, data, and analytics team can assist with your entire data and analytics lifecycle, from data strategy to implementation.

Data 108

Data Analysis Analytics Google Cloud 108

Actian

JANUARY 15, 2020

We are pleased to announce a special offer of $0 cloud storage on AWS, Azure, and Google Cloud Platform for customers of Avalanche. Details of the offer: You will receive up to 10TB Free Cloud Storage with your Avalanche subscription when you purchase a minimum of 4000 AU-hours in a one year contract.

Storage 40

Storage Cloud Google Cloud Data 40

Altexsoft

MAY 20, 2020

Source: IoT Analytics. These hardware components cache and preprocess real-time data, reducing the burden on central storages and main processors. Source: IoT Analytics. Backed by the public cloud leader, this IoT platform has users across 190 countries. billion to 21.5 Transport layer: networks and gateways.

IoT 141

IoT Azure AWS Transportation 141

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. When asked, Heartex says that it doesn’t collect any customer data and open sources the core of its labeling platform for inspection.

Open Source 203

Open Source Weak Development Team Artificial Inteligence Data 203

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. How to choose cloud data warehouse software: main criteria.

Backup 115

Backup Azure Software Review Systems Review 115