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

Existek

JANUARY 11, 2022

We suggest drawing a detailed comparison of Azure vs AWS to answer these questions. Azure vs AWS market share. What is Microsoft Azure used for? Azure vs AWS features. Azure vs AWS comparison: other practical aspects. Azure vs AWS comparison: other practical aspects. Azure vs AWS: which is better?

Azure 52

Azure AWS Cloud How To 52

Apiumhub

AUGUST 20, 2018

The key to efficient, integrous data analysis is a team-based intelligent analytical approach. This interactive approach leads to incremental evolution, and though we are talking about analysing big data, can be applied in any team or to any project. This means sorting through the data with the help of a data analyst.

Big Data 47

Big Data Tools Data Artificial Inteligence 47

Altexsoft

FEBRUARY 11, 2023

Data is now one of the most valuable assets for any kind of business. The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023.

Data 87

Data Data Engineering Big Data Architecture 87

Cloudera

JUNE 7, 2022

Big data is cool again. As the company who taught the world the value of big data, we always knew it would be. But this is not your grandfather’s big data. It has evolved into something new – hybrid data. We can also do it with your preferred cloud – AWS, Azure or GCP.

Data 115

Data Architecture Analytics Big Data 115

The Citus Data

MARCH 31, 2023

To put a number to it, either 12 (or 13) of the 37 talks—approximately ~32%—are about the Citus extension to Postgres. :) 4 Citus customer talks Citus for real-time analytics at Vizor Games , by Ivan Vyazmitinov of Vizor Games.

Azure 84

Azure Open Source Virtualization Software Engineering 84

CTOvision

OCTOBER 27, 2014

Big Data Product Watch 10/17/14: Big Three Make Big Moves. — dominated Big Data news this week, while the third, MapR Technologies Inc., Cloudera CTO on Big Data analytics and security risks. Big Data is a trillion market, says Cloudera CSO Mike Olson | #BigDataNYC.

Technical Review 103

Technical Review Technology Big Data Firewall 103

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. What is a data lake?

Architecture 52

Architecture Data Storage Artificial Inteligence 52

Perficient

MAY 23, 2023

Information technology (IT) typically refers to the use of computers, software, and networks for managing and processing data and information. It encompasses areas such as enterprise resource planning (ERP) systems, data analytics, cybersecurity, cloud computing, and communication networks. Smart Factories and Industry 4.0:

Technology 59

Technology Artificial Inteligence IoT Azure 59

Openxcell

JANUARY 6, 2023

Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. The speed, scalability, and flexibility that cloud computing offers enable firms to create, innovate, and support corporate IT solutions. They pay for it as they need it. Cloud computing definition.

Architecture 52

Architecture Cloud Storage Google Cloud 52

Mobilunity

MAY 8, 2023

Moreover an Enterprise Data Lake makes it accessible to data scientists, analysts, and other users across the enterprise. Key zones of an Enterprise Data Lake Architecture typically include ingestion zone, storage zone, processing zone, analytics zone, and governance zone. Data Security. Scalability.

Engineering 52

Engineering Data Storage AWS 52

Datavail

SEPTEMBER 17, 2019

More recently, in November 2018, Microsoft Azure announced MongoDB Atlas free tier would be available in limited regions. While there are a large number of options within the realm of NoSQL databases for big data, MongoDB has the majority market share. percent growth in shares in 2018. Is MongoDB a Better Choice?

Cloud 40

Cloud Azure Big Data Storage 40

Sunflower Lab

OCTOBER 2, 2023

Choosing the Ultimate Data Analytics Tool As a digital service providing enterprise, we constantly find ways to help a business through technology, and with this due process we find new innovative ideas and tools which are yet to be implemented by many of the enterprises in their system.

Azure 40

Azure Analytics UI/UX Software Review 40

Cloudera

SEPTEMBER 9, 2021

Cloudera Machine Learning or Cloudera Data Warehouse), to deliver fast data and analytics to downstream components. AWS and Azure standards) reducing cost, complexity and ensuing risk mitigation in HA scenarios: . Savings opportunity on Azure. Cloud-Native Design Patterns.

Storage 98

Storage Azure Technical Review Database Administration 98

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. AI engineer on Microsoft Azure.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Not surprisingly, the skill sets companies need to drive significant enterprise software builds, such as big data and analytics, cybersecurity, and AI/ML, are among the most competitive.

Software Review 94

Software Review Technical Review Software Development Team Review 94

Mobilunity

MAY 20, 2021

Whether you are looking for an Oracle cloud developer or an experienced Azure cloud developer, it might be challenging to find a suitable professional. But if you choose Microsoft instead, you’ll need an Azure cloud engineer for that. Microsoft Azure. It is not so easy to hire a cloud engineer locally. Amazon AWS.

Engineering 52

Engineering Cloud Google Cloud Azure 52

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

Altexsoft

FEBRUARY 11, 2020

With the rise of big data, organizations are collecting and storing more data than ever before. This data can provide valuable insights into customer needs and assist in creating innovative products. Unfortunately, this also makes data valuable to hackers, seeking to infiltrate systems and exfiltrate information.

Tools 109

Tools Linux Analysis Open Source 109

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. Text Analysis for Business Analytics with Python , June 12.

Course 62

Course Training Artificial Inteligence Software Review 62

CircleCI

SEPTEMBER 7, 2021

Whether you are on Amazon Web Services (AWS), Google Cloud, or Azure. Examine your needs, such as scalability, and your expenses, such as overhead, when deciding if IaaS is right for you. Big data analytics. The cloud offers plenty of solutions for big data analytics.

Cloud 52

Cloud Backup Disaster Recovery Serverless 52

Coforge

JULY 28, 2021

The Benefits of Integrating SAP Data With Azure Synapse Analytics. The Complications Of Analyzing SAP Data. For modern enterprises in 2021, it’s a challenge to find a cost-efficient, feasible out of box integration with non-SAP data for analytics. Breaking Down Data Silos With Azure Synapse.

Azure 52

Azure Analytics Data Artificial Intelligence 52

RapidValue

SEPTEMBER 9, 2019

Microsoft Azure. Big Data Analytics. One of the major advantages offered by leveraging cloud computing is the ability to manage huge quantities of both structured and unstructured data in order to yield the benefit of extracting business value. The Popular Cloud Platforms. Amazon Web Services (AWS).

Disaster Recovery 20

Disaster Recovery Cloud Backup Big Data 20

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. Text Analysis for Business Analytics with Python , June 12.

Course 47

Course Training Artificial Inteligence Software Review 47

Actian

JANUARY 25, 2019

A number of benchmark reports conducted by McKnight Consulting Group (MCG) Global Services compared Actian Vector to some of its top competitors to measure speed, performance, scalability and agility. Hybrid Data Conference. Keep an eye out for updates on 2019 events in the pipeline! Actian Zen Core Database for Android.

Technical Review 40

Technical Review IoT Fractional CTO Conference 40

Protera

SEPTEMBER 25, 2018

Basic factors like hosting costs, scalability and agility just make on premise to cloud migration the logical choice. The competition between AWS, Azure, and other public cloud providers has been particularly helpful in the SAP community. The Innovation Cycle for the public cloud is breathtakingly fast.

Cloud 58

Cloud Off-The-Shelf Artificial Inteligence Serverless 58

Altexsoft

MAY 20, 2020

Source: IoT Analytics. For companies, incorporating the consistent IoT strategy into daily routine means continuous access to valuable data about products and processes that can be translated into reduced expenses, improved efficiency in logistics and maintenance, better products and enhanced customer experience. Source: IoT Analytics.

IoT 141

IoT Azure AWS Transportation 141

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 Open Source 59

Existek

NOVEMBER 22, 2021

Web apps have proven themselves as good performing, quickly responding, scalable, and easy to maintain. First of all, enterprise solutions have to be highly scalable and perform well. It provides extra data protection. Excellent analytics tools are essential for enterprise web development. Reporting and analytics.

Web Development 52

Web Development UI/UX Weak Development Team Enterprise 52

G2 Crowd Software

DECEMBER 5, 2017

Microsoft offers a free “express” version for building smaller applications, which can host up to 10GB of data. It comes with development tools, management tools and Azure backup and restore. Scalability. Data Manipulation. Features include database server, analytics and microservice architecture. “As Scalability.

Open Source 61

Open Source Software Review Software Technical Review 61

Datavail

JUNE 22, 2021

But that’s not the only reason IT organizations are flocking to Azure. Here are the seven main reasons companies choose this versatile platform: High Availability : Microsoft has a significant global footprint which means Azure can provide a Service Level Agreement (SLA) of 99.95% for its customers.

Azure 40

Azure Cloud Artificial Inteligence Company 40

ParkMyCloud

JUNE 19, 2020

There are a wide range of Microsoft Azure VM types that are optimized to meet various needs. With so many options available, finding the right machine type for your workload can be confusing – which is why we’ve created this overview of Azure VM types (as we’ve done with EC2 instance types , and Google Cloud machine types ).

Azure 64

Azure Comparison Storage Virtualization 64

Perficient

FEBRUARY 16, 2024

In the world of big data processing, efficient and scalable file systems play a crucial role. DBFS is a distributed file system that comes integrated with Databricks, a unified analytics platform designed to simplify big data processing and machine learning tasks. What is DBFS? What is DBFS?

System 52

System Storage Azure Big Data 52

Datavail

JUNE 8, 2023

Data Summit 2023 was filled with thought-provoking sessions and presentations that explored the ever-evolving world of data. From the technical possibilities and challenges of new and emerging technologies to using Big Data for business intelligence, analytics, and other business strategies, this event had something for everyone.

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

Gorilla Logic

OCTOBER 2, 2019

Regardless of whether your goal is to simply track data and control devices, or you aim to combine IoT with big data, artificial intelligence (AI), and machine learning to create a truly connected enterprise and transform your business model, you’re likely to encounter challenges. How scalable do you need your solution to be?

UI/UX 9

UI/UX Artificial Inteligence Enterprise IoT 9

Datavail

AUGUST 6, 2020

Analytics is the process of turning raw data into valuable business insights through quantitative and statistical methods. There are three ways of classifying business analytics methods according to their use case: Descriptive methods examine historical data to identify meaningful trends and patterns.

Analytics 52

Analytics Cloud Disaster Recovery Business Analytics 52

Altexsoft

SEPTEMBER 21, 2023

What if we told you that one of the world’s most powerful search and analytics engines started with the humble goal of organizing a culinary enthusiast’s growing list of recipes? First publicly introduced in 2010, Elasticsearch is an advanced, open-source search and analytics engine that also functions as a NoSQL database.

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 52