TechCrunch

SEPTEMBER 27, 2021

As more enterprises migrate to cloud-based architectures, they are also taking on more applications (because they can) and, as a result of that, more complex workloads and storage needs. “This has driven our sales demand from the world’s largest cloud operators by an estimated 25% to 30%.”

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Artificial Inteligence Applications Cloud Artificial Intelligence 246

DevOps.com

OCTOBER 23, 2020

When the value of big data was finally embraced, thanks to new analysis capabilities developed in the late nineties and early aughts, the industry adapted its mindset toward storage by investing in on-premises data centers to help store the data that would drive better business decisions. When […].

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Openxcell

JUNE 9, 2023

All this raw information, patterns and details is collectively called Big Data. Big Data analytics,on the other hand, refers to using this huge amount of data to make informed business decisions. Let us have a look at Big Data Analytics more in detail. What is Big Data Analytics?

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TechCrunch

AUGUST 19, 2021

Fortunately Bedrock is here to drag that mapping process into the 21st century with its autonomous underwater vehicle and modern cloud-based data service. “We believe we’re the first cloud-native platform for seafloor data,” said Anthony DiMare, CEO and cofounder (with CTO Charlie Chiau) of Bedrock.

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CIO

MARCH 27, 2024

For Huawei, digitally transforming manufacturing through advanced ICT including 5G technologies, cloud computing, big data and AI, is the key to reshaping industries for the future. With plans to expand, the company needed to upgrade its IT capabilities especially for storage and processing.

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Automotive Storage Systems Review Technical Review 130

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.

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Kaseya

MAY 13, 2021

Fueled by the shift to remote and hybrid work environments and the need to digitally transform business during the global pandemic, the adoption of cloud computing has reached an all-time high. Needless to say, cloud services are in high demand today. But, what exactly is a cloud service provider? What Is a Public Cloud?

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TechCrunch

OCTOBER 4, 2022

The company’s technology is what’s known as a relational database, meaning it uses a structure of rows and columns to identify and access data in relation to other data components in the database. Gartner predicts that 75% of all databases will be migrated to a cloud service by 2022.

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The Accidental Successful CIO

MAY 15, 2019

CIOs need to understand what they are going to do with big data Image Credit: Merrill College of Journalism Press Releases. As a CIO, when we think about big data we are faced with a number of questions having to do with the importance of information technology that we have not had to deal with in the past.

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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”.

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Big Data Google Cloud Data Azure 71

Cloudera

APRIL 6, 2022

Webb’s gimbaled antenna assembly, which includes the telescope’s high-data-rate dish antenna, must transmit about a Blu-ray’s worth of science data — that’s 28.6 The telescope’s storage ability is limited — 65 gigabytes — which requires regular sending back of data to keep from filling up the hard drive.

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Big Data Artificial Inteligence Data Machine Learning 98

Apps Associates

MAY 18, 2021

Performing analytics on the data was possible but took a long time and was mostly done in batch (using map reduce routines written in Java). Although on-premises Hadoop clusters ushered in the era of Big Data and supported data use cases that previously were not possible, many of these systems proved to be costly and cumbersome to maintain.

Cloud 98

Cloud Data Azure Analytics 98

Abhishek Tiwari

DECEMBER 27, 2017

Kubernetes has emerged as go to container orchestration platform for data engineering teams. In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. Organisations are already using Kubernetes for a variety of workloads [1] [2] and data workloads are up next. Performance. Native frameworks.

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The Crazy Programmer

NOVEMBER 6, 2021

Currently, the demand for data scientists has increased 344% compared to 2013. hence, if you want to interpret and analyze big data using a fundamental understanding of machine learning and data structure. Because the salary for a data scientist can be over Rs5,50,000 to Rs17,50,000 per annum. Cloud Architect.

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Artificial Inteligence Artificial Intelligence Blockchain Software Review 290

taos

OCTOBER 16, 2019

Big Data Meets Big Compute First Published: November 12, 2012 By Simon Karpen?—?Taos Taos Practice Leader Supercomputing is the International Conference for High-Performance Computing (HPC), Networking, Storage and Analysis. One of the overriding themes of the conference tutorials and workshops is big data.

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DataRobot

NOVEMBER 15, 2022

Organizations are looking to deliver more business value from their AI investments, a hot topic at Big Data & AI World Asia. At the well-attended data science event, a DataRobot customer panel highlighted innovation with AI that challenges the status quo. Learn How to Accelerate Business Results with DataRobot AI Cloud.

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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. One point of discussion that is still up for debate is whether the cloud is secure enough for life science applications.

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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. What Exactly is Cloud Computing? What’s the Difference Between AWS vs. Azure vs. Google Cloud?

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Hu's Place - HitachiVantara

JUNE 18, 2019

There has been a growing buzz from analysts and thought leaders on the growing role of object storage in the data center. The All Flash G Series Access node for HCP has unlocked new uses for object storage. He also cites some of the recent enhancement that have been added to HCP.

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Storage Software Review Banking Technical Review 66

KitelyTech

AUGUST 21, 2023

Cloud applications can be counted among the most important developments in modern business. The cloud gives businesses access to resources far beyond what they can manage or obtain on their own, making it possible for a business of any size to scale exponentially. Systems like Dropbox and Google Drive are perfect examples of this.

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RapidValue

NOVEMBER 10, 2020

Cloud cost optimization is essential for correctly selecting and assigning the right resources to a workload or application. Cloud optimization allows CloudOps to maximize cloud value-for-spend and deliver topmost app performance and reporting thereof. Subsequently, reducing the cost of storage.

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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.

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Cloudera

FEBRUARY 7, 2019

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. Enabling this transformation is the HDP platform, along with SAS Viya on Google Cloud , which has delivered machine learning models and personalization at scale.

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CIO

SEPTEMBER 14, 2023

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines that convert raw data into formats usable by data scientists, data-centric applications, and other data consumers.

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Zadara

OCTOBER 10, 2017

Whether it's big data analytics, high-definition video, or internet-of-things applications, the necessity for companies to handle large amounts of data in their daily operations continues to grow. The post Bring Cold Object Storage to Your Private Cloud appeared first on Zadara | Blog.

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Cloudera

JULY 15, 2019

Educating Data Analysts at Scale. Cloudera is pleased to announce, in partnership with Coursera, the launch of Modern Big Data Analysis with SQL , a three-course specialization now available on the Coursera platform. This sequence of courses teaches the essential skills for working with data of any size using SQL.

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Big Data Analysis Education Artificial Inteligence 56

CTOvision

FEBRUARY 20, 2015

Hortonworks'' Hadoop Data Platform (HDP) is now a supported feature on Google Cloud. Jason Verge, "Hortonworks Becomes Official Google Cloud Feature". Hortonworks was already available on Microsoft''s Azure cloud, and Amazon''s AWS. Hortonworks Becomes Official Google Cloud Feature (datacenterknowledge.com).

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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.

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Apps Associates

JULY 28, 2022

This blog introduces you to Oracle Cloud Infrastructure (OCI) Data Integration service and reviews how to setup Data Integration workspace in OCI. I love Data Integration in OCI and hope to get you excited about this great product as well. Data immersive user experience to boost productivity. Oracle Managed.

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CTOvision

OCTOBER 12, 2015

Datameer kicked off their first Big Data & Brews on the East Coast at Strata + Hadoop World New York. Watch Part 1 of Big Data & Brews with Tony Baer here. Andrew: That’s sort of a prerequisite for Big Data and Brews. Andrew: Their cloud platform is all about Spark.

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Cloudera

JANUARY 26, 2022

Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. Cloud technologies and respective service providers have evolved solutions to address these challenges. . But how did the hybrid cloud come to dominate the data sector?

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RapidValue

AUGUST 4, 2020

Cloud computing has changed the way we engineer and deliver applications. As cloud computing models have begun to proliferate and evolve, it’s critical that technology leaders start making informed decisions about which products, services, and payment models deliver the best results. Key Challenges of Cloud Cost Optimization.

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Hu's Place - HitachiVantara

JUNE 17, 2019

According to today’s online StorageNewsletter.com , The storage market is beginning to slow down in EMEA. Although the EMEA external storage systems market recorded a positive quarter in 1Q19, with 2.4% Although the EMEA external storage systems market recorded a positive quarter in 1Q19, with 2.4% Y/Y growth in U.S.

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Storage Big Data Operating System Research 49

KitelyTech

AUGUST 18, 2023

While change tends to be gradual, technologies like cloud computing and SaaS are accelerating companies’ digital transformations. Here is why SaaS and cloud computing are pushing businesses to work on their digital transformations faster than before. Companies also benefit from the distributed nature of cloud systems.

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Cloud Company Resources Big Data 52

The Accidental Successful CIO

OCTOBER 19, 2016

Big data is powerful, but how does one get started using it? Right now, “big data” is one such buzz word. As a CIO you may have been attracted to what everyone says the benefits of using big data are. How Can A Company Start To Use Big Data? Image Credit: Ron Mader.

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Openxcell

JANUARY 6, 2023

Cloud computing has emerged as the optimal method of delivering enterprise software for businesses introducing new technologies or expanding their infrastructure. Many new technologies now begin in the cloud as services, which is very enticing to business customers who are aware of the possible competitive benefits of early adoption.

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Architecture Cloud Storage Google Cloud 52

Hu's Place - HitachiVantara

SEPTEMBER 4, 2018

Enterprise Storage Forum recently published their 2018 Storage Trends survey which made some interesting observations. The biggest challenges for IT and business leaders with operating their current storage infrastructure were aging equipment and lack of storage capacity. EB shipped in 1Q 2018. EB shipped in 1Q 2018.

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