Cloudera

FEBRUARY 7, 2019

Enabling this transformation is the HDP platform, along with SAS Viya on Google Cloud , which has delivered machine learning models and personalization at scale. This has become a core component of the fraud management framework for the business, and has helped solidify its role as the trusted keeper of sensitive data.

Big Data 65

Big Data Analytics Google Cloud Cloud 65

Hacker Earth Developers Blog

JANUARY 31, 2020

Primarily, his thought leadership is focused on leveraging Big Data, Machine Learning, and Data Science to drive and enhance an organization’s business, address business challenges, and lead innovation. Dr. Kirk Borne, a data scientist and astrophysicist, is one of the leading influencers in the Big Data/Data Science/AI space.

Artificial Inteligence 362

Artificial Inteligence Artificial Intelligence Machine Learning Technical Advisors 362

Hacker Earth Developers Blog

JANUARY 31, 2020

Primarily, his thought leadership is focused on leveraging Big Data, Machine Learning, and Data Science to drive and enhance an organization’s business, address business challenges, and lead innovation. Dr. Kirk Borne, a data scientist and astrophysicist, is one of the leading influencers in the Big Data/Data Science/AI space.

Artificial Inteligence 362

Artificial Inteligence Artificial Intelligence Machine Learning Technical Advisors 362

Falcon Chronicles

OCTOBER 24, 2018

This isn’t just an AWS story, every other cloud provider (e.g. Microsoft Azure, Google Cloud Platform) has a parallel story of how they’ve built their services around security. Security became even a larger priority for cloud providers to support the demand from life sciences users as HIPAA Omnibus rule took effect on 2013.

Blockchain 40

Blockchain Big Data Cloud Data 40

Perficient

FEBRUARY 16, 2023

This is the second 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.

Data 110

Data Google Cloud Analytics Cloud 110

Perficient

FEBRUARY 16, 2024

In the world of big data processing, efficient and scalable file systems play a crucial role. In this blog post, we’ll explore into what DBFS is, how it works, and provide examples to illustrate its usage. What is DBFS? What is DBFS? References: Official Spark Documentation: Spark SQL and DataFrames – Spark 2.3.0

System 52

System Storage Azure Big Data 52

Linux Academy

APRIL 30, 2019

Stay tuned to the Linux Academy blog for further details. Introduction to Migrating Databases and Virtual Machines to Google Cloud Platform — This course covers the various issues of migrating databases and virtual machines to Google Cloud Platform. Linux Study Group in May. No prior AWS experience is required.

Linux 113

Linux AWS Big Data Course 113

Linux Academy

JUNE 25, 2019

Stay tuned to the Linux Academy blog for details! Google Cloud Concepts. This course is for the true Google Cloud Platform beginner. What is the cloud or Google Cloud? Why do we use Google Cloud? Google Cloud Essentials (NEW). Big Data Essentials.

Linux 60

Linux Course Cloud Google Cloud 60

Linux Academy

MAY 28, 2019

Stay tuned to the Linux Academy blog for further details. Courses Free in May: Network Routing Protocol Fundamentals – Network routing is the process of enabling computers to transfer data over networks, including the internet. Use Secrets to protect sensitive data like passwords. No prior AWS experience is required.

Linux 104

Linux AWS Azure Technical Review 104

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

Forbes notes that a full transition to the cloud has proved more challenging than anticipated and many companies will use hybrid cloud solutions to transition to the cloud at their own pace and at a lower risk and cost. This will be a blend of private and public hyperscale clouds like AWS, Azure, and Google Cloud Platform.

Cloud 78

Cloud Google Cloud Azure AWS 78

Linux Academy

FEBRUARY 26, 2019

Stay tuned to the Linux Academy blog for further details. Hadoop Quick Start — Hadoop has become a staple technology in the big data industry by enabling the storage and analysis of datasets so big that it would be otherwise impossible with traditional data systems. No prior AWS experience is required.

Linux 80

Linux AWS Big Data Course 80

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

Gorilla Logic

NOVEMBER 21, 2019

What’s the Big Deal about Big Data and Business Intelligence? Well, the core of business intelligence is data and we are in a digital era where everything is data. All of that is data, data that someone might be interested in and find a way to make money with.

Business Intelligence 87

Business Intelligence Case Study Azure Big Data 87

Linux Academy

MARCH 21, 2019

You can stay ahead of the competition by continually developing your skills in Cloud, Linux, AWS, Azure, Google Cloud Platform, Containers, Security, Big Data, and DevOps. The post Close the Tech Skills Gap by Learning In-Demand Tech Skills | Infographic appeared first on Linux Academy Blog.

Linux 60

Linux Google Cloud Azure AWS 60

Altexsoft

JULY 1, 2021

PaaS solutions support the development of virtually any type of system, including web applications, mobile applications, big data, AI, and even hardware based solutions like internet of things (IoT) devices. Google Cloud ML. Google Cloud ML Engine enables the creation and deployment of machine learning solutions.

Artificial Inteligence 59

Artificial Inteligence Azure Software Review Google Cloud 59

Linux Academy

MARCH 12, 2019

Cloud Playground: Your team can spin up AWS and Google Cloud sandbox environments and virtual machines at no additional costs nor management. Whether it’s training on Cloud, AWS, Azure, or Google Cloud – we got you covered! But, wait there’s more!

Linux 60

Linux Google Cloud Training AWS 60

Linux Academy

MAY 29, 2019

A couple of years ago, I wrote a post called “ 116 Hands-On Labs and Counting ” and today we have over 750 Hands-On Labs across 10 content categories — Linux, AWS, Azure, Big Data, Cloud, Containers, DevOps, Google Cloud, OpenStack, and Security. Cloud Playground includes AWS and Google Cloud Sandboxes.

Linux 68

Linux Serverless Google Cloud Lambda 68

Linux Academy

APRIL 29, 2019

Stay tuned to the Linux Academy blog for further details. Introduction to Migrating Databases and Virtual Machines to Google Cloud Platform — This course covers the various issues of migrating databases and virtual machines to Google Cloud Platform. Linux Study Group in May. No prior AWS experience is required.

Linux 60

Linux AWS Big Data Course 60

Linux Academy

MARCH 7, 2019

2+ in Google Cloud. 1+ in Big Data. The post New Hands-On Training Content, Enterprise Platform Features, & Free Gems Coming | April Live Shows appeared first on Linux Academy Blog. Have you explored everything we launched this year so far? Upcoming Training Content at a Glance. New and Updated Courses.

Training 60

Training Enterprise Linux Google Cloud 60

Mobilunity

JANUARY 4, 2023

High-end big data analytics solutions are available through Google Cloud Platform (GCP), which also makes it simple to connect to other vendor products. GCE (Google Compute Engine), a component of GCP (Google Cloud Platform), serves a comparable purpose. Get qualified assistance right away!

DevOps 52

DevOps How To Azure Weak Development Team 52

Altexsoft

MAY 20, 2020

The list of top five fully-fledged solutions in alphabetical order is as follows : Amazon Web Service (AWS) IoT platform , Cisco IoT , Google Cloud IoT , IBM Watson IoT platform , and. Source: Cisco Blogs. The solution also comes pre-integrated with Software AG Cloud and Quantela , a smart city automation and AI platform.

IoT 141

IoT Azure AWS Transportation 141

Datavail

SEPTEMBER 17, 2019

Mongo CTO and Co-Founder Eli Horowitz published a blog in June 2016 officially announcing the Atlas service as the “simplest, most robust” way to use Mongo in the cloud at deployments of many different sizes. S&P Global Market Intelligence data indicates the company experienced 182.1 Is MongoDB a Better Choice?

Cloud 40

Cloud Azure Big Data Storage 40

Mobilunity

MAY 20, 2021

As mentioned before, there are different cloud providers with their specific platforms. It means that a Google cloud certified associate cloud engineer can work with GCP but probably won’t be any good with AWS or Azure. Google’s platform is in third place, with 49% of enterprises using it in 2021. Amazon AWS.

Engineering 52

Engineering Cloud Google Cloud Azure 52

Hu's Place - HitachiVantara

OCTOBER 4, 2018

State of Andhra Pradesh(India) for Excellence in IoT, forproviding agile and efficient Real Time Governance (RTG) public services to their 50 million citizens with the help of Hitachi to analyze big data sets gathered from various sources to make insightful decisions. The theme of this NEXT 2018 Event was Your Data , Your Innovation.

Innovation 53

Innovation IoT Big Data Video 53

Confluent

MAY 22, 2019

We use the Google Cloud API to automate the deployment of a ScyllaDB cluster. There is documentation about setting up Google Cloud here (alternatively, if you prefer aws/bare-metal, instructions are also available). Google Cloud SDK. A version of this blog post was originally published on the Scylla blog.

IoT 95

IoT Google Cloud Scalability Microservices 95

Altexsoft

OCTOBER 21, 2022

Apache Kafka is an open-source, distributed streaming platform for messaging, storing, processing, and integrating large data volumes in real time. It offers high throughput, low latency, and scalability that meets the requirements of Big Data. Cloudera , focusing on Big Data analytics. Web App Development.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Datavail

JULY 7, 2022

High data volumes. Big data is often defined as the “four Vs”: volume , velocity , variety , and veracity. Working with unstructured data helps adequately address this data’s variety. But another of these challenges is of no less concern: volume.

Analytics 52

Analytics Artificial Inteligence Cloud Artificial Intelligence 52

Altexsoft

JUNE 1, 2020

Data lakes are repositories used to store massive amounts of data, typically for future analysis, big data processing, and machine learning. A data lake can enable you to do more with your data. What Is a Data Lake? To build your lake in GCP, you need to use Google Cloud Storage as the base.

Data 69

Data Cloud Azure Storage 69

ParkMyCloud

FEBRUARY 20, 2020

Note: a version of this blog was originally published in July 2018. The r i nstance family is memory-optimized, which you might use for in-memory databases, real-time processing of unstructured big data, or Hadoop/Spark clusters. Looking for info on the other cloud providers? Google Cloud Machine Types.

Comparison 71

Comparison How To AWS Machine Learning 71

Cloudera

APRIL 2, 2019

Cloudera and Intel have a long history of innovation, driving big data analytics and machine learning into the enterprise with unparalleled performance and security. For more information learn how to get data insights faster from bigger workloads with Intel® Optane DC persistent memory.

Performance 47

Performance Artificial Inteligence IoT Scalability 47

Confluent

FEBRUARY 6, 2019

The blog posts How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka and Using Apache Kafka to Drive Cutting-Edge Machine Learning describe the benefits of leveraging the Apache Kafka ® ecosystem as a central, scalable and mission-critical nervous system. For now, we’ll focus on Kafka.

Machine Learning 106

Machine Learning Artificial Inteligence Scalability Data Engineering 106

Aviatrix

SEPTEMBER 28, 2018

That’s been the case in computing, with former industry leaders IBM, HP, Sun, and DEC now replaced by public cloud vendors such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud. The cloud has already turned compute and storage into utilities, but networking has taken longer to catch up.

Innovation 49

Innovation Cloud Software Data Center 49

Altexsoft

NOVEMBER 7, 2022

DevOps tasks — for example, creating scheduled backups and restoring data from them. Airflow is especially useful for orchestrating Big Data workflows. Airflow is not a data processing tool by itself but rather an instrument to manage multiple components of data processing. When Airflow won’t work.

Weak Development Team 52

Weak Development Team Technical Review Software Review Systems Review 52

Linux Academy

JULY 30, 2019

Google Cloud Security Essentials – This course teaches the core fundamentals necessary to properly secure your Google Cloud environment, and manage who has access to what resources. The concepts introduced in this course are necessary for any security considerations on Google Cloud. Essentials .

Linux 12

Linux Course AWS Google Cloud 12

Altexsoft

DECEMBER 15, 2021

The technology supports tabular, image, text, and video data, and also comes with an easy-to-use drag-and-drop tool to engage people without ML expertise. For data scientist, it has an integrated Jupyter Notebook environment. Source: Google Cloud Blog. Vertex AI overview.

Machine Learning 59

Machine Learning Artificial Inteligence How To Azure 59

Linux Academy

AUGUST 29, 2019

Google Cloud Essentials (NEW). This course is designed for those who want to learn about Google Cloud: what cloud computing is, the overall advantages Google Cloud offers, and a detailed explanation of all major services – what they are, their use cases, and how to use them. Big Data Essentials.

Linux 18

Linux Course AWS Google Cloud 18

Linux Academy

JUNE 28, 2019

DevOps has become an integral part of the cloud – in Google Cloud , AWS , and Azure. Who should take this course: We suggest you take our Big Data Essentials and Linux Essentials courses before taking this course. Chef – The Local Cookbook Development Badge. Difficulty Level: Intermediate.

Course 60

Course DevOps Training Linux 60