Hu's Place - HitachiVantara

JUNE 11, 2019

The global big data market is expected to grow at a CAGR of 22.4% Data analytics is expected to be the key driver for this market. However, the stocks of big data analytics vendors have been tanking in a way that is reminiscent of the dot com bust. So, what is happening?

Big Data 63

Big Data Analytics Cloud Data 63

CIO

DECEMBER 16, 2022

The average pay premium paid for another qualification, Certified in the Governance of Enterprise IT (CGEIT) , rose 37.5%, also hitting 11% of base salary. The top-earning skills were big data analytics and Ethereum, with a pay premium of 20% of base salary, both up 5.3% since March. in the previous six months.

Technical Review 246

Technical Review Analytics AWS SCRUM 246

CIO

JANUARY 6, 2023

These candidates should have experience debugging cloud stacks, securing apps in the cloud, and creating cloud-based solutions. Cloud engineers should have experience troubleshooting, analytical skills, and knowledge of SysOps, Azure, AWS, GCP, and CI/CD systems.

LAN 358

LAN Systems Administration How To WAN 358

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

Cloudera

FEBRUARY 7, 2019

A key pillar in the transformation journey is focused on robust data operations that can help ATB deliver timely, relevant and delightful service. 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.

Big Data 64

Big Data Analytics Google Cloud Cloud 64

CIO

MAY 8, 2024

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

Innovation 130

Innovation Artificial Inteligence Data Serverless 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.

Big Data 52

Big Data Data Engineering Engineering Data 52

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

Perficient

FEBRUARY 16, 2023

The Data Catalog serves as an inventory of available data and provides information to evaluate the usefulness and quality of data to answer business questions and make better business decisions. Data Catalogs have become the standard for metadata management in the age of big data and self-service business intelligence.

Data 110

Data Google Cloud Analytics Cloud 110

CIO

JULY 26, 2023

“We’ve been able to create some models that will analyze things like the listing comments and descriptions and tell you which properties are waterfront or not,” Wilhemy says, adding that such data gives its agents a competitive advantage by enabling them to reach out to a selective set of potential buyers first.

Real Estate 246

Real Estate Data Generative AI Machine Learning 246

Existek

NOVEMBER 22, 2021

Need an enterprise app to boost your business efficiency but don’t know where to start? This article will serve as a step-by-step guide to enterprise web development. Besides, enterprises are large companies that contain over a thousand employees. First of all, enterprise solutions have to be highly scalable and perform well.

Web Development 52

Web Development UI/UX Weak Development Team Enterprise 52

CIO

SEPTEMBER 18, 2023

According to the 2023 State of the CIO , IT leaders are looking to shore up competencies in key areas such as cybersecurity (39%), application development (30%), data science/analytics (30%), and AI/machine learning (26%).

Technical Review 340

Technical Review Pharmaceuticals Security Training 340

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

Battery Ventures

OCTOBER 7, 2020

The research pinpointed some of the mega-trends—including cloud computing and the rise of open-source technology—that are upending today’s huge enterprise-IT market as organizations across industries push to digitize their operations by modernizing their technology stacks. What a difference a year makes.

Open Source 144

Open Source Cloud Google Cloud Azure 144

Linux Academy

APRIL 30, 2019

Launch Your First OpenShift Operator — OpenShift is a Kubernetes distribution certified by CNCF in 2017, for the Enterprise, but it provides so much more than container orchestration. Big Data Essentials – Big Data Essentials is a comprehensive introduction to the world of big data.

Linux 113

Linux AWS Big Data Course 113

Linux Academy

MAY 28, 2019

Use Secrets to protect sensitive data like passwords. Google Cloud Essentials – This course is designed for those who want to learn about Google Cloud: what cloud computing is, the overall advantages Google Cloud offers, and detailed explanations of all major services – what they are, their use cases, and how to use them.

Linux 104

Linux AWS Azure Technical Review 104

Altexsoft

JULY 4, 2022

The software layer can consist of operating systems, virtual machines, web servers, and enterprise applications. As a rule, the network infrastructure engineer augments the IT team that manages a large, enterprise-grade environment. The infrastructure engineer supervises all three layers making sure that the entire system.

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

O'Reilly Media - Ideas

JUNE 4, 2019

Fundamentals of Machine Learning and Data Analytics , July 10-11. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , July 11-12. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Spotlight on Data: Data Storytelling with Mico Yuk , July 15.

Course 65

Course Training Artificial Inteligence Software Review 65

Protera

JUNE 21, 2022

A perfect storm of events over the past several years has led to the steady growth in enterprises evaluating SAP S/4HANA. At the same time, SAP’s announcement that they would end application maintenance for Business Suite has turned SAP migration to S/4HANA into an eventual necessity for enterprises using SAP systems.

Systems Review 52

Systems Review Cloud Enterprise Azure 52

CTOvision

OCTOBER 1, 2015

Tamr has opened a public Beta program for an enterprise metadata catalog tool that makes it easy for people to find, use and collaborate in organizing high-quality data sets for analytics. Traditional top-down methods of cataloging data are fragmented, arduous and not scalable to organizations’ data variety or analytic demands.

Programming 102

Programming Google Cloud Analytics Enterprise 102

O'Reilly Media - Ideas

JUNE 5, 2019

Fundamentals of Machine Learning and Data Analytics , July 10-11. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , July 11-12. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Spotlight on Data: Data Storytelling with Mico Yuk , July 15.

Course 49

Course Training Artificial Inteligence Software Review 49

Hu's Place - HitachiVantara

OCTOBER 4, 2018

The award winners included: NASA Johnson Space Center for Enterprise transformation , partnered with Hitachi Vantara to design and implement a unique, cloud based, long-life digital repository for mission imagery to enable instant access by authorized users around the world.

Innovation 53

Innovation IoT Big Data Video 53

Mobilunity

MAY 20, 2021

Cloud engineering is a quickly developing industry that concerns all things cloud services. Nowadays, it is used both by individuals and enterprises. For example, everyone has cloud storage available on their smartphones or connected to their Google account. rate each year. Amazon AWS. Amazon AWS.

Engineering 52

Engineering Cloud Google Cloud Azure 52

Linux Academy

APRIL 29, 2019

Launch Your First OpenShift Operator — OpenShift is a Kubernetes distribution certified by CNCF in 2017, for the Enterprise, but it provides so much more than container orchestration. Big Data Essentials – Big Data Essentials is a comprehensive introduction to the world of big data.

Linux 60

Linux AWS Big Data Course 60

TechCrunch

APRIL 5, 2022

For all the talk about the criticality of data for businesses, enterprise data is commonly siloed, unreconciled and spread across disparate systems, making it challenging to use and analyze. “The siloing of data has historically forced IT teams into a ‘command and control’ posture.

Enterprise 249

Enterprise Organization Data Government 249

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.

Architecture 52

Architecture Cloud Storage Google Cloud 52

O'Reilly Media - Ideas

APRIL 3, 2019

Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , May 28-29. Introduction to Distributed Ledger Technology for Enterprise , May 9. Introduction to Google Cloud Platform , June 3-4. Data science and data tools. Fraud Analytics Using Python , April 30.

Course 47

Course Artificial Inteligence Training Google Cloud 47

Altexsoft

JANUARY 22, 2020

As a result, it became possible to provide real-time analytics by processing streamed data. Please note: this topic requires some general understanding of analytics and data engineering, so we suggest you read the following articles if you’re new to the topic: Data engineering overview. Batch processing.

Analytics 20

Analytics Data IoT Analysis 20

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

Datavail

SEPTEMBER 17, 2019

While there are a large number of options within the realm of NoSQL databases for big data, MongoDB has the majority market share. S&P Global Market Intelligence data indicates the company experienced 182.1 Turning fast-moving internet of things (IoT) data streams into insight. percent growth in shares in 2018.

Cloud 40

Cloud Azure Big Data Storage 40

Confluent

FEBRUARY 6, 2019

It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. No matter what other platforms are supported, chances are very high that your data scientists will build and train their analytic models with Python. You need to think about the whole model lifecycle.

Machine Learning 106

Machine Learning Artificial Inteligence Scalability Data Engineering 106

RapidValue

SEPTEMBER 9, 2019

Efficiency and accuracy, the essential requirements, are what cloud solutions offer businesses and enterprises. Institutions and organizations are taking the appropriate steps to ensure that they are benefited by the offerings of cloud services. The Popular Cloud Platforms. Google Cloud Platform.

Disaster Recovery 20

Disaster Recovery Cloud Backup Big Data 20

Altexsoft

JULY 23, 2020

DataOps or Data Operations came into play almost simultaneously with MLOps, and also borrowed a lot of patterns from DevOps. But its core sphere of application is data analytics. DataOps covers all steps of the data lifecycle, from collection to analyzing and reporting, and automates them where possible.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

Kentik

APRIL 11, 2016

Clustered computing for real-time Big Data analytics. But the current epoch of distributed computing is often traced to December of 2004, when Google researchers Jeffrey Dean and Sanjay Ghemawat presented a paper unveiling MapReduce. While the use of data cubes boosts Hadoop’s utility, it still involves compromise.

Big Data 40

Big Data Analytics Network Architecture 40

ParkMyCloud

FEBRUARY 20, 2020

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. The x1 family has a much higher ratio of memory, so this is a good choice if you have a full in-memory application or a big data processing engine like Apache Spark or Presto.

Comparison 71

Comparison How To AWS Machine Learning 71

Altexsoft

JUNE 29, 2021

Machine learning engineer vs. data scientist. A data scientist is more of a creative researcher who carries out experiments with data and models. This position requires a solid grasp of statistics, analytics, and reporting methods rather than proficiency in programming languages.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

O'Reilly Media - Ideas

MAY 1, 2019

Real-Time Streaming Analytics and Algorithms for AI Applications , May 15. Spotlight on Data: Caching Big Data for Machine Learning at Uber with Zhenxiao Luo , June 17. Introduction to Distributed Ledger Technology for Enterprise , July 10. Spotlight on Cloud: Becoming Cloud Native with Jon Collins , May 2.

Course 45

Course Training Artificial Inteligence Machine Learning 45