Cloudera

JANUARY 22, 2019

In conjunction with the evolving data ecosystem are demands by business for reliable, trustworthy, up-to-date data to enable real-time actionable insights. Big Data Fabric has emerged in response to modern data ecosystem challenges facing today’s enterprises. What is Big Data Fabric? Data access.

Big Data 44

Big Data Scalability Data Analytics 44

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

Kaseya

NOVEMBER 9, 2023

Before we discuss its benefits, let’s first understand the cloud, its infrastructure and different cloud service and deployment models. The cloud or cloud computing is a global network of distributed servers hosting software and infrastructure accessed over the internet. What is the cloud?

Cloud 105

Cloud Disaster Recovery Artificial Inteligence Infrastructure 105

Altexsoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. Big data processing.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

Cloudera

NOVEMBER 22, 2021

In legacy analytical systems such as enterprise data warehouses, the scalability challenges of a system were primarily associated with computational scalability, i.e., the ability of a data platform to handle larger volumes of data in an agile and cost-efficient way. public, private, hybrid cloud)?

Scalability 94

Scalability Technical Review Data Analytics 94

Altexsoft

JULY 29, 2022

Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics.

Big Data 59

Big Data Data Google Cloud Storage 59

Altexsoft

MAY 14, 2021

Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics. Key Big Data characteristics.

Big Data 78

Big Data Analytics Tools Applications 78

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

OTS Solutions

NOVEMBER 26, 2023

Multi-cloud is important because it reduces vendor lock-in and enhances flexibility, scalability, and resilience. This involves evaluating the current infrastructure and identifying areas where multiple cloud providers can offer better solutions. It is essential to assess the specific needs and goals of the organization.

Strategy 130

Strategy Cloud Technical Review Development Team Review 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”.

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

Hu's Place - HitachiVantara

OCTOBER 9, 2018

Hitachi Vantara is committed to providing customers of our IT infrastructure products with the latest technology innovations to address their evolving business and data requirements. These Innovations include: DS7000 Scalable Servers , NVIDIA Tesla GPUs , All NVMe , and 3D XPoint storage memory.

3D 61

3D Scalability Storage Technology 61

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

OTS Solutions

OCTOBER 10, 2023

also known as the Fourth Industrial Revolution, refers to the current trend of automation and data exchange in manufacturing technologies. It encompasses technologies such as the Internet of Things (IoT), artificial intelligence (AI), cloud computing , and big data analytics & insights to optimize the entire production process.

Artificial Inteligence 147

Artificial Inteligence Mobile Industry Cloud 147

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

Netflix Tech

DECEMBER 21, 2020

At this scale, we can gain a significant amount of performance and cost benefits by optimizing the storage layout (records, objects, partitions) as the data lands into our warehouse. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 81

Storage Data Resources Data Engineering 81

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.

Storage 52

Storage Systems Review Software Review Technical Review 52

Cloudera

APRIL 22, 2021

Today’s enterprise data analytics teams are constantly looking to get the best out of their platforms. Storage plays one of the most important roles in the data platforms strategy, it provides the basis for all compute engines and applications to be built on top of it. Supports Disaggregation of compute and storage.

Data 101

Data Storage Architecture Big Data 101

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

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’s scalable, distributed analysis engine lets you query terabytes in seconds and petabytes in minutes. What data visualization tools should I use?

Data 111

Data Google Cloud Analytics Serverless 111

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.

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Google Cloud Azure AWS Cloud 122

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

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 268

Artificial Inteligence Strategy Data Machine Learning 268

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

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

Altexsoft

MAY 12, 2023

This article delves into the realm of unstructured data, highlighting its importance, and providing practical guidance on extracting valuable insights from this often-overlooked resource. We will discuss the different data types, storage and management options, and various techniques and tools for unstructured data analysis.

Examples 59

Examples Tools Data Artificial Inteligence 59

O'Reilly Media - Data

JUNE 5, 2018

As enterprises mature their big data capabilities, they are increasingly finding it more difficult to extract value from their data. This is primarily due to two reasons: Organizational immaturity with regard to change management based on the findings of data science. Align data initiatives with business goals.

Data 120

Data Big Data Systems Review Technical Review 120

Kentik

FEBRUARY 14, 2023

With software architectures increasingly adopting distributed, cloud-based models , network infrastructures have become complex webs of virtual and physical devices. What are the main features of a modern data platform? What are the advantages of a data platform? Here are the key advantages of a data platform: Centralized.

Network 52

Network Data Artificial Inteligence Analysis 52

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

CTOvision

FEBRUARY 20, 2015

Hortonworks'' Hadoop Data Platform (HDP) is now a supported feature on Google Cloud. This new feature will allow dynamic provisioning of HDP clusters on the Google Cloud Platform, providing scalability for enterprise-wide solutions employing HDP, as well as providing a means for rapidly setting up prototyping and development environments.

Google Cloud 108

Google Cloud Cloud Big Data Azure 108

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. – AltexSoft All the data processing is done in Big Data frameworks like MapReduce, Spark and Flink.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

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

Cloudera

MAY 18, 2021

Second, since IaaS deployments replicated the on-premises HDFS storage model, they resulted in the same data replication overhead in the cloud (typical 3x), something that could have mostly been avoided by leveraging modern object store. Technology and infrastructure costs . Storage costs. using list pricing of $0.72/hour

Cloud 86

Cloud Technical Review Storage Backup 86

Altexsoft

JUNE 25, 2019

Being at the top of data science capabilities, machine learning and artificial intelligence are buzzing technologies many organizations are eager to adopt. However, they often forget about the fundamental work – data literacy, collection, and infrastructure – that must be done prior to building intelligent data products.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

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. But accessing and using those insights means collecting, storing, and ultimately transforming that data into usable information. Do you know how to create a data-driven advantage for your business?

Data 52

Data Storage Big Data Conference 52

ProCal Tech

OCTOBER 2, 2022

They are often limited in their ability to plan multi-cloud operations on their own, therefore, they require competent service providers who are expected to deliver the necessary technology to host multi-cloud infrastructure.

Cloud 52

Cloud Disaster Recovery Storage Telecommunications 52

Cloudera

FEBRUARY 22, 2021

The valuation framework consists of four dimensions: 1) business value acceleration, 2) technology cost reduction and / or avoidance, 3) infrastructure cost optimization and 4) operational efficiency. Supporting multiple data formats and types to enable enrichment of data assets for different use cases and finally.

Data 82

Data Analytics Government Technical Review 82