Hu's Place - HitachiVantara

JUNE 4, 2018

In order for companies to be more agile in responding to changing customer needs and market dynamics, they must have a storage infrastructure that makes data available at the right time, at the right place and in the right format, so that they can derive value from it and turn raw data into insights that drive business outcomes.

Storage 49

Storage Infrastructure Agile Data Center 49

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.

Big Data 52

Big Data Data Engineering Engineering Data 52

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. He claims that solutions could provide up to double the bandwidth on the same infrastructure.

Artificial Inteligence 246

Artificial Inteligence Applications Cloud Artificial Intelligence 246

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”.

Big Data 71

Big Data Google Cloud Data Azure 71

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.

Infrastructure 52

Infrastructure Cloud Data Linux 52

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.

Big Data 40

Big Data Meeting Data Conference 40

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.

Automotive 130

Automotive Storage Systems Review Technical Review 130

Capgemini

MAY 20, 2020

Retailers have long been hampered by their data infrastructures, first by structural limitations inherent in data warehouses and then the expense and lack of agility of newer big-data systems. Releasing capital from an aging data infrastructure .

Infrastructure 64

Infrastructure Data Retail Analytics 64

CTOvision

FEBRUARY 18, 2015

On Tuesday, January 27, 2015 CTOvision publisher and Cognitio Corp co-founder Bob Gourley hosted an event for federal big data professionals. The breakfast event focused on security for big data designs and featured the highly regarded security architect Eddie Garcia. By Katie Kennedy. Learn More about Cloudera here.

Big Data 119

Big Data Data Hardware Authentication 119

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. Automate with Rapid Iteration to Get to Scale and Compliance.

Big Data 52

Big Data Conference Data Machine Learning 52

IDC

DECEMBER 9, 2019

When the first All-Flash Arrays (AFAs) were introduced back in 2011, many enterprises, analysts and established enterprise storage vendors felt that these types of systems would be too expensive for widespread use in the enterprise. Increased infrastructure density. Increased device density drops the $/GB cost of that storage.

Storage 52

Storage Systems Review Software Review Technical Review 52

Altexsoft

JULY 4, 2022

Infrastructure is quite a broad and abstract concept. Companies often take infrastructure engineers for sysadmins, network designers, or database administrators. What is an infrastructure engineer? (80, Key components of IT infrastructure. This environment or — infrastructure — consists of three layers.

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

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. A cloud architect has a profound understanding of storage, servers, analytics, and many more.

Artificial Inteligence 290

Artificial Inteligence Blockchain Artificial Intelligence Software Review 290

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.

Storage 53

Storage Performance IoT Machine Learning 53

CTOvision

DECEMBER 16, 2014

It is no secret that today’s data intensive analytics are stressing traditional storage systems. SSD) to bolster the performance of traditional storage platforms and support the ever-increasing IOPS and bandwidth requirements of their applications.

Storage 104

Storage Analytics System Data 104

Falcon Chronicles

OCTOBER 24, 2018

It has essentially allowed businesses and institutions of all types to gain access to on-demand computing, storage and more. In the field of genomics, it gave even the smallest lab access to the same infrastructure being used by the largest research centers and even more in many cases. appeared first on Falcon Computing.

Blockchain 40

Blockchain Big Data Cloud Data 40

CIO

JUNE 27, 2023

Equally, if not more important, is the need for enhanced data storage and management to handle new applications. These applications require faster parallel processing of data in diverse formats. In his keynote speech, he noted, “We believe that data storage will undergo major changes as digital transformation gathers pace.

Storage 246

Storage Infrastructure Data Data Center 246

Infinidat

OCTOBER 4, 2023

The Cybersecurity and Infrastructure Security Agency (CISA) launched a new cybersecurity program to educate enterprises on how to stay cyber secure. Infinidat is very aware of the global cybersecurity threat and we help our enterprise customers by including core cyber resilience technology in all our enterprise storage solutions.

Storage 71

Storage Development Team Review Malware Systems Review 71

TechCrunch

AUGUST 19, 2021

. “We believe we’re the first cloud-native platform for seafloor data,” said Anthony DiMare, CEO and cofounder (with CTO Charlie Chiau) of Bedrock. “This is a big data problem — how would you design the systems to support that solution? Better, faster, cheaper, and safer is a hell of a pitch.

Technical Cofounder 258

Technical Cofounder Cloud Data Off-The-Shelf 258

Altexsoft

FEBRUARY 11, 2023

In the article, we explore the role of a data architect, discuss the responsibilities and required skills, and share what kind of companies may need such a specialist. What is a data architect? What is the main difference between a data architect and a data engineer? Feel free to enjoy it.

Data 87

Data Data Engineering Big Data Architecture 87

Perficient

MARCH 19, 2024

BigQuery’s serverless architecture lets you use SQL queries to answer your organization’s biggest questions with zero infrastructure management. BigQuery maximizes flexibility by separating the compute engine that analyzes your data from your storage choices. What data visualization tools should I use?

Data 111

Data Google Cloud Analytics Serverless 111

CTOvision

MARCH 3, 2014

We first heard of Scality in news of their VC funding rounds in early 2011, and soon thereafter began to get questions from government infrastructure professionals asking how Scality compares to Cleversafe. With this post we are initiating coverage of Scality, a firm we are hearing quite a bit of buzz about lately.

Storage 105

Storage System Big Data Scalability 105

Kaseya

MAY 13, 2021

As the name suggests, a cloud service provider is essentially a third-party company that offers a cloud-based platform for application, infrastructure or storage services. In a public cloud, all of the hardware, software, networking and storage infrastructure is owned and managed by the cloud service provider.

Google Cloud 122

Google Cloud Azure AWS Cloud 122

CIO

JUNE 7, 2023

In a nutshell, data scientists and developers have been trying to build the most powerful, sophisticated applications for the next generation of business on complex infrastructure built for the demands of yesterday. Many traditional AI/ML systems, and the outcomes they produce, rely on data warehouses and batch processing.

Organization 130

Organization Artificial Inteligence Open Source Architecture 130

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.

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

DevOps.com

JUNE 24, 2019

We are at an inflection point in the rise of big data. Enterprise IT infrastructure is producing data at a scale like the world has never seen before. IT operations (ITOps) management has accelerated past the notion of data storage and processing (vis a vis the Hadoop model) and into the world of analytics-as-a-service.

Culture 98

Culture System Big Data Storage 98

CTOvision

FEBRUARY 20, 2015

Qubole adds Apache Spark to its Big Data-as-a-Service platform (sdtimes.com). IBM makes big data push (channeleye.co.uk). MapR Enables the Real-Time, Data-Centric Enterprise (insidebigdata.com). Jason Verge, "Hortonworks Becomes Official Google Cloud Feature".

Google Cloud 108

Google Cloud Cloud Big Data Azure 108

Cloudera

JANUARY 26, 2022

Network operating systems let computers communicate with each other; and data storage grew—a 5MB hard drive was considered limitless in 1983 (when compared to a magnetic drum with memory capacity of 10 kB from the 1960s). The amount of data being collected grew, and the first data warehouses were developed.

Cloud 89

Cloud Data Architecture Virtualization 89

Infinidat

DECEMBER 3, 2019

Without big data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway.” - Geoffrey Moore. Does your infrastructure strategy account for this exponential acceleration in available data? Do you know how to create a data-driven advantage for your business? . Drew Schlussel.

Data 52

Data Storage Big Data Conference 52

Cloudera

JUNE 13, 2023

Data and analytics are the essential engines in this strategy which entails upgrading the bank’s core banking technology to deliver reliable, efficient, and secure services for their customers while safeguarding critical data.

Analytics 80

Analytics Data Banking Big Data 80

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. Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. What is cloud computing?

Architecture 52

Architecture Cloud Storage Google Cloud 52

Netflix Tech

OCTOBER 28, 2021

Netflix’s unique work culture and petabyte-scale data problems are what drew me to Netflix. During earlier years of my career, I primarily worked as a backend software engineer, designing and building the backend systems that enable big data analytics. You can learn more about it from my talk at the Flink forward conference.

Data Engineering 69

Data Engineering Engineering Data Software Engineering 69

CIO

FEBRUARY 14, 2023

Organizations have balanced competing needs to make more efficient data-driven decisions and to build the technical infrastructure to support that goal. This can only be achieved if the underlying data infrastructure is unified, robust, and efficient. The storage for these features is referred to as a feature store.

Artificial Inteligence 290

Artificial Inteligence Strategy Data Machine Learning 290

Mobilunity

MAY 8, 2023

Key zones of an Enterprise Data Lake Architecture typically include ingestion zone, storage zone, processing zone, analytics zone, and governance zone. Ingestion zone is where data is collected from various sources and ingested into the data lake. Storage zone is where the raw data is stored in its original format.

Engineering 52

Engineering Data Storage AWS 52

Cloudera

SEPTEMBER 9, 2021

Cloudera Machine Learning or Cloudera Data Warehouse), to deliver fast data and analytics to downstream components. Compared to legacy Apache HBase or Phoenix implementations, COD has been architected to enable organizations optimize infrastructure costs, streamline application development lifecycle and accelerate time to value.

Storage 98

Storage Azure Technical Review Database Administration 98

RapidValue

NOVEMBER 10, 2020

When workload performance, compliance, and cost are continually and effectively balanced with the best-fit infrastructure in real time, you achieve efficiency. Cloud optimization helps: To maximize the efficiency of your servers, storage, and databases. Subsequently, reducing the cost of storage. How does AWS Pricing Work?

AWS 98

AWS Cloud How To Storage 98

Datica

AUGUST 14, 2019

The cloud is a scalable, low-cost way to develop the complex infrastructure required to support a variety of critical organizational activities, especially for providers and vendors in healthcare settings. Reduced data storage costs. Benefits of Cloud Computing in Healthcare.

Healthcare 66

Healthcare Cloud Storage Big Data 66