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 270

Tools Cloud AWS Off-The-Shelf 270

TechCrunch

FEBRUARY 24, 2021

Many companies spend a significant amount of money and resources processing data from logs, traces and metrics, forcing them to make trade-offs about how much to collect and store. Wing Venture Capital led the round with help from AV8 Ventures, Oregon Venture Fund and Silicon Valley Data Capital.

Data 177

Data Storage Metrics Google Cloud 177

CIO

JANUARY 17, 2024

The first was becoming one of the first research companies to move its panels and surveys online, reducing costs and increasing the speed and scope of data collection. Reporting standardization One of Ipsos’ latest digital transformation-related projects is the move of its reporting and analytics to a standard digital delivery platform.

Artificial Inteligence 281

Artificial Inteligence Artificial Intelligence Analysis Azure 281

Perficient

FEBRUARY 21, 2023

This is the third blog in a series that explains how organizations can prevent their Data Lake from becoming a Data Swamp, with insights and strategy from Perficient’s Senior Data Strategist and Solutions Architect, Dr. Chuck Brooks. A data lake will contain whatever source applications system and third-party data you put in it.

Data 108

Data Analysis Analytics Google Cloud 108

TechCrunch

MAY 18, 2022

Heartex, a startup that bills itself as an “open source” platform for data labeling, today announced that it landed $25 million in a Series A funding round led by Redpoint Ventures. We agreed that the only viable solution was to have internal teams with domain expertise be responsible for annotating and curating training data.

Open Source 203

Open Source Weak Development Team Artificial Inteligence Data 203

Dzone - DevOps

FEBRUARY 9, 2023

Trino is an open-source distributed SQL query engine designed to query large data sets distributed over one or more heterogeneous data sources. Trino was designed to handle data warehousing, ETL, and interactive analytics by large amounts of data and producing reports.

Open Source 90

Open Source Google Cloud Storage Analytics 90

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 232

AWS Azure Advertising Google Cloud 232

Xebia

JANUARY 19, 2023

The following is a review of the book Fundamentals of Data Engineering by Joe Reis and Matt Housley, published by O’Reilly in June of 2022, and some takeaway lessons. This book is as good for a project manager or any other non-technical role as it is for a computer science student or a data engineer.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

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

CIO

JULY 13, 2022

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. This need has generated a market opportunity for a universal data distribution service. Why does every organization need it when using a modern data stack?

System 151

System Enterprise Data Cloud 151

CIO

DECEMBER 22, 2023

For security architects working in a cloud environment, the focus is on designing and implementing security solutions that protect the business’ cloud-based infrastructure, data, and applications. Role growth: 18% of businesses have added security architect roles as part of their cloud investments.

Cloud 297

Cloud Company Disaster Recovery Software Engineering 297

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

Cloudera

FEBRUARY 7, 2019

A key pillar in the transformation journey is focused on robust data operations that can help ATB deliver timely, relevant and delightful service. The company sought a data management platform that would allow its enterprise to handle greater data variety, velocity and volume in a cost-effective manner.

Big Data 64

Big Data Analytics Google Cloud Cloud 64

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. Software engineer. Full-stack software engineer. Back-end software engineer.

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. Software engineer. Full-stack software engineer. Back-end software engineer.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

DXC

MAY 3, 2021

Banks are finding exciting new ways to turn their data into valuable insights. To succeed in this new data-driven world, banks of all sizes are turning to the cloud. The post How a cloud-based platform can help banks leverage data for valuable insights appeared first on DXC Blogs.

Banking 101

Banking Cloud Data Storage 101

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. But that is changing.

Engineering 254

Engineering Data Center AWS Cloud 254

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

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

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. We identified Google as being well aligned with us strategically,” says Gunkel.

Research 130

Research Cloud Fractional CTO Data Center 130

Agile Engine

FEBRUARY 20, 2019

2018 was the second consecutive year when Gartner published an obituary of Big Data. No one, including Gartner, thinks Big Data is dead. Au contraire, Big Data has grown so ubiquitous it became “just data”, argue the authors of the obituaries. Trend 1: From Big Data to “Just Data”. Google BigQuery.

Big Data 71

Big Data Google Cloud Data Azure 71

Cloudera

JUNE 2, 2022

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. This need has generated a market opportunity for a universal data distribution service. Why does every organization need it when using a modern data stack?

System 99

System Enterprise Data Cloud 99

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. Industry 4.0

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

Hu's Place - HitachiVantara

MAY 10, 2019

Rule-based fraud detection software is being replaced or augmented by machine-learning algorithms that do a better job of recognizing fraud patterns that can be correlated across several data sources. DataOps is required to engineer and prepare the data so that the machine learning algorithms can be efficient and effective.

Data 90

Data Machine Learning Artificial Inteligence Weak Development Team 90

Ivanti

FEBRUARY 18, 2022

As the Everywhere Workplace continues to expand across the world, businesses demand the solutions they choose have the security, speed, reliability and the power to handle larger and ever-more complex data while remaining easy to manage, easy to deploy and easy to maintain. Telemetry and analytics. Google Cloud platform support.

Google Cloud 71

Google Cloud Virtualization Hardware Operating System 71

Openxcell

JANUARY 6, 2023

But what is cloud computing? The quick response is that it’s located somewhere at the other end of your internet connection; it’s a location from which you may access apps and services and where your data can be safely stored. To put it simply, cloud computing makes it possible to rent your IT rather than buy it.

Architecture 52

Architecture Cloud Storage Google Cloud 52

TIBCO - Connected Intelligence

APRIL 22, 2021

Opportunity 1: Stop copying so much data. In its annual Worldwide Global Datasphere Forecast, 2019-2023, IDC projected that only 15% of annual data growth is actually net new data. That means 85% of data growth results from copying data you already have. Some analytic tools query data efficiently.

Sustainability 46

Sustainability Virtualization Data Energy 46

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. Who is Big Data Engineer?

Big Data 52

Big Data Data Engineering Engineering Data 52

Existek

JUNE 20, 2023

Firebase started as a real-time database backend as a service, allowing developers to synchronize and store data in the cloud, eliminating the necessity of building and managing server infrastructure. Cloud Firestore is another NoSQL document database offered by Firebase.

Technical Review 52

Technical Review Software Review Authentication Scalability 52

Apiumhub

MARCH 12, 2024

This article explores cloud computing trends that will define the landscape of cloud computing in the coming years, from edge computing to quantum computing and the implications for businesses and technology enthusiasts. Cloud Computing Trends: What is Cloud Computing? What do you need to access the data?

Trends 52

Trends Innovation Cloud Serverless 52

Data Virtualization

SEPTEMBER 23, 2021

Organizations are increasingly turning to the cloud to take advantage of scalable yet elastic computing and storage resources. The availability and economics of the cloud for flexible and scalable high-performance environments has radically changed the way information architects envision the.

Cloud 52

Cloud Data Scalability Virtualization 52

Data Virtualization

SEPTEMBER 23, 2021

Organizations are increasingly turning to the cloud to take advantage of scalable yet elastic computing and storage resources. The availability and economics of the cloud for flexible and scalable high-performance environments has radically changed the way information architects envision the.

Cloud 52

Cloud Data Scalability Virtualization 52

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. Without having an expert cloud engineer on board, a business cannot successfully move to these services.

Engineering 52

Engineering Cloud Google Cloud Azure 52

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

This will be a blend of private and public hyperscale clouds like AWS, Azure, and Google Cloud Platform. CIOs will rely upon migration assessment and planning activities to identify an optimal allocation of workloads across public and private cloud environments.

Cloud 78

Cloud Google Cloud Azure AWS 78

Altexsoft

JULY 4, 2022

An infrastructure engineer is a person who designs, builds, coordinates, and maintains the IT environment companies need to run internal operations, collect data, develop and launch digital products, support their online stores, and achieve other business objectives. Key components of IT infrastructure. Infrastructure monitoring and logging.

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

Altexsoft

JANUARY 22, 2020

Such a method requires sending and receiving millions bits of data at any given moment, so that you can play another Black Mirror episode on the go. Similar to a real world stream of water, continuous transition of data received the name streaming , and now it exists in different forms. What are streaming or real-time analytics?

Analytics 20

Analytics Data IoT Analysis 20

Confluent

FEBRUARY 6, 2019

It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way. Impedance mismatch between data scientists, data engineers and production engineers.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107