Openxcell

JUNE 9, 2023

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? This blog explains all about Big Data Analytics, its trends, tools and more.

Big Data 52

Big Data Analytics Tools Data 52

Cloudera

AUGUST 3, 2021

Advanced analytics empower risk reduction . Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Improve Visibility within Supply Chains.

Analytics 108

Analytics Open Source Government Machine Learning 108

OTS Solutions

NOVEMBER 14, 2023

There are many reasons why dentists are shifting towards digital IT solutions, but in this blog, we discuss the top 2 reasons why dental practices are adopting digital solutions so fast. Improving patient outcomes through predictive analytics Predictive analytics is transforming the way dental practices approach patient care.

Technical Review 130

Technical Review Technology 3D Healthcare 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. These technologies allow mobile apps to learn and adapt to specific equipment conditions, further reducing the risk of equipment failures. Industry 4.0

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

Sunflower Lab

OCTOBER 9, 2023

Diving into World of Business Analytics Data analytics is not an old concept, it is an essential practice which has driven business success in the past and the present, it will confidently drive the success in the future too. “ Data Explosion ” refers to a trend of exponentially multiplying data that is stored.

Business Analytics 40

Business Analytics Analytics UI/UX Development Team Review 40

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

Data Virtualization

JANUARY 19, 2023

Reading Time: 2 minutes Today, many businesses are modernizing their on-premises data warehouses or cloud-based data lakes using Microsoft Azure Synapse Analytics. Whether or not they begin with on-premises systems, such modernization efforts often involve the implementation of hybrid configurations. Unfortunately, with data spread.

Azure 52

Azure Architecture Analytics Data 52

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 choices on Render such as Bun.js

Serverless 180

Serverless AWS Google Cloud Azure 180

InnovationM

MAY 14, 2023

Demystifying Data Lakes Data lakes serve as flexible storage repositories, enabling organizations to store raw and diverse data types, breaking away from the constraints of traditional data warehouses. These systems ensure high availability and facilitate the storage of massive data volumes.

Data 52

Data Storage Construction Business Intelligence 52

Datavail

AUGUST 2, 2022

Considering a move to cloud analytics? Before you dive in headfirst, however, it’s important to understand what a cloud analytics migration will mean for your IT expenses. What are the Costs of Cloud Analytics? The costs of cloud analytics will vary depending on your technology stack. Analytics compute.

Analytics 52

Analytics Cloud Artificial Inteligence How To 52

Cloudera

JANUARY 30, 2019

Cloudera Data Science Workbench is a web-based application that allows data scientists to use their favorite open source libraries and languages — including R, Python, and Scala — directly in secure environments, accelerating analytics projects from research to production. Install any library or framework (e.g. Register Now.

Machine Learning 72

Machine Learning Artificial Inteligence Data Open Source 72

Cloudera

JULY 24, 2023

In their effort to reduce their technology spend, some organizations that leverage open source projects for advanced analytics often consider either building and maintaining their own runtime with the required data processing engines or retaining older, now obsolete, versions of legacy Cloudera runtimes (CDH or HDP).

Open Source 65

Open Source Analytics Software Review Metrics 65

Cloudera

FEBRUARY 8, 2021

In addition, moving outside the vehicle, existing fragmented approaches for data management associated with the machine learning lifecycle are limiting the ability to deploy new use cases at scale. The vehicle-to-cloud solution driving advanced use cases.

Data 106

Data Machine Learning Artificial Inteligence Automotive 106

Cloudera

JUNE 27, 2023

When you deploy a platform that supports MDA you can consolidate other systems, like legacy data mediation and disparate data storage solutions. Offload data from legacy, on-premises analytic platforms and appliances. On-premises analytic systems can often cost more than cloud-based alternatives.

Architecture 61

Architecture Data Government Machine Learning 61

Cloudera

AUGUST 4, 2021

In fact, McKinsey points to a 50% reduction in downtime and a 40% reduction in maintenance costs when using IoT and data analytics to predict and prevent breakdowns. Navistar relies on predictive maintenance, which leverages IoT and data analytics to predict and prevent breakdowns of commercial trucks and school buses. “We

IoT 98

IoT Machine Learning Artificial Inteligence Government 98

Datavail

JUNE 22, 2023

The trends and topics at this event included data analytics, sustainability, application modernization, cloud migration and modernization, AI and machine learning, and operational excellence. Discover technologies like machine learning and serverless computing to gain valuable insights into revolutionizing your industry.

AWS 52

AWS Disaster Recovery Generative AI Storage 52

OTS Solutions

DECEMBER 22, 2023

Overview of Digital Transformation Digital transformation means the operational, cultural, and organizational changes within an organization’s ecosystem with the help of modern technologies such as cloud computing, the Internet of Things, artificial intelligence, machine learning, mobile apps, etc.

Artificial Inteligence 130

Artificial Inteligence Technical Review Artificial Intelligence Weak Development Team 130

Infinidat

MAY 4, 2021

In Part 1 of this blog post , we discussed the history and definitions of Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL), as well as Infinidat’s use of true Deep Learning in our Neural Cache software. and most of the better storage vendors do it. Adriana Andronescu.

Artificial Inteligence 98

Artificial Inteligence Off-The-Shelf Storage Machine Learning 98

AWS Machine Learning - AI

JANUARY 26, 2024

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

Artificial Inteligence 120

Artificial Inteligence Generative AI Security Applications 120

Cloudera

OCTOBER 6, 2022

CIO blog post : “Digital transformation is a foundational change in how an organization delivers value to its customers.”. Optimize automation: AI and machine learning (ML) are now the key terms here, but RPA (Robotic Process Automation) still has its place in driving efficiency throughout the enterprise.

Technical Review 85

Technical Review Compliance Machine Learning Artificial Inteligence 85

Cloudera

NOVEMBER 1, 2022

In the private sector, excluding highly regulated industries like financial services, the migration to the public cloud was the answer to most IT modernization woes, especially those around data, analytics, and storage. Learn more about CDP Private Cloud here.

Cloud 84

Cloud Government Storage Analytics 84

Cloudera

JUNE 18, 2022

These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. In recent years, the term “data lakehouse” was coined to describe this architectural pattern of tabular analytics over data in the data lake.

Data 90

Data Analytics Open Source Architecture 90

OTS Solutions

MAY 2, 2023

In this blog, we will be discussing what the Digital Transformation process is in business and how Digital Transformation technologies can impact your business growth. This blog outlines several Digital Transformation Technologies that organizations are leveraging to drive digital transformation.

Artificial Inteligence 130

Artificial Inteligence Artificial Intelligence Machine Learning Blockchain 130

Xebia

AUGUST 29, 2023

Key features of AWS Batch Efficient Resource Management: AWS Batch automatically provisions the required resources, such as compute instances and storage, based on job requirements. This enables you to build end-to-end workflows that leverage the full range of AWS capabilities for data processing, storage, and analytics.

AWS 147

AWS Performance Storage Linux 147

Cloudera

APRIL 6, 2022

This blog post was written by Elizabeth Howell, Ph.D The telescope’s storage ability is limited — 65 gigabytes — which requires regular sending back of data to keep from filling up the hard drive. sat-1 artificial intelligence chip filters them out so that only usable data is returned,” ESA said in a blog post.

Big Data 98

Big Data Artificial Inteligence Data Machine Learning 98

Mobilunity

NOVEMBER 19, 2023

Forbes reports that 53% of companies are adopting big data analytics, highlighting the growing importance of data-driven insights in today’s business landscape. Data science and analytics professionals earn a median salary of $103,072 , making it one of the highest-paying professions in the U.S.

UI/UX 52

UI/UX Data Machine Learning Artificial Inteligence 52

Kentik

FEBRUARY 4, 2021

In the previous two blogs, I talked about the need to gather telemetry data from all of the devices and observation points in your network, and across the different types of telemetry available. Distributed columnar databases, which is what we see most (and what we use at Kentik) to provide high-resolution storage and querying.

Network 80

Network Data Storage Analytics 80

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Data 105

Data Artificial Inteligence Analytics Machine Learning 105

Cloudera

JUNE 26, 2023

Related but different, CDSW can automate analytics workloads with an integrated job-pipeline scheduling system to support real-time monitoring, job history, and email alerts. For data engineering and data science teams, CDSW is highly effective as a comprehensive platform that trains, develops, and deploys machine learning models.

Tools 75

Tools Data Engineering Analytics Testing 75

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. Meta data will be key, and companies will look to object based storage systems to create a data fabric as a foundation for building large scale flow based data systems.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

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 64

Big Data Analytics Google Cloud Cloud 64

Datavail

AUGUST 3, 2021

But even if you’re not there yet, hyper-threaded virtual machines feature up to 128 vCPUs and 6 TB of memory. 5) Analytics & Insights. Build data lakes with Azure Data Lake Storage. Bring limitless scale and powerful insights to the table with Azure Synapse Analytics. 3) Disaster Recovery. Final Thoughts.

Azure 98

Azure Disaster Recovery Applications Artificial Inteligence 98

Cloudera

JUNE 28, 2022

In a previous blog of this series, Turning Streams Into Data Products , we talked about the increased need for reducing the latency between data generation/ingestion and producing analytical results and insights from this data. Building real-time streaming analytics data pipelines requires the ability to process data in the stream.

Analytics 81

Analytics Machine Learning Artificial Inteligence Cloud 81

Cloudera

OCTOBER 28, 2020

The most innovative companies use data and analytics to offer appropriate products and services. As these new sources cause data volumes to multiply, advanced analytics and machine learning are the only effective ways to analyze the vast quantities of information and help realize insight. Sample Customer Successes .

Data 70

Data Analytics Banking Machine Learning 70

Cloudera

JANUARY 14, 2021

This blog is the final post of a 4-part series. You can read the first blog posts, here: 1. This retailer deployed Cloudera DataFlow to tap real-time streaming data from thousands of cold storage sensors across its vast network of brick-and-mortar stores. Get to Know Your Retail Customer: 2.

Retail 69

Retail Agile Storage Analytics 69

Sunflower Lab

JULY 5, 2023

This has become true with the addition of Artificial Intelligence (AI), Machine Learning (ML) and Robotic Process Automation (RPA) in businesses. This has become true with the addition of Artificial Intelligence (AI), Machine Learning (ML) and Robotic Process Automation (RPA) in businesses.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning Analytics 52

Perficient

FEBRUARY 13, 2023

Use multiple data models: Local data storage is so costly that it was not possible to store multiple copies of data, each using a different data model to meet your requirements. If you don’t have a need for machine learning yet, you’ll almost certainly need it in the next few years, if not now.

Data Engineering 69

Data Engineering Engineering Data Storage 69