Altexsoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. Which Big Data tasks does Spark solve most effectively? How does it work?

Big Data 98

Big Data Tools Data Storage 98

MagmaLabs

APRIL 25, 2023

Read this and learn the trends in Software Development for eCommerce to stay competitive in 2023 —and the upcoming years. That is why, as online business owners or leaders, we must stay at peace with all the trends that convey our goals. As you may know, there are other significant macroeconomic trends that came into play.

Trends 52

Trends eCommerce Artificial Inteligence Software 52

MagmaLabs

APRIL 25, 2023

Read this and learn the trends in Software Development for eCommerce to stay competitive in 2023 —and the upcoming years. That is why, as online business owners or leaders, we must stay at peace with all the trends that convey our goals. As you may know, there are other significant macroeconomic trends that came into play.

Trends 52

Trends eCommerce Artificial Inteligence Software 52

Cloudera

APRIL 6, 2022

Webb’s gimbaled antenna assembly, which includes the telescope’s high-data-rate dish antenna, must transmit about a Blu-ray’s worth of science data — that’s 28.6 The telescope’s storage ability is limited — 65 gigabytes — which requires regular sending back of data to keep from filling up the hard drive.

Big Data 99

Big Data Artificial Inteligence Data Machine Learning 99

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

Altexsoft

DECEMBER 9, 2020

In the era of global digital transformation , the role of data analysis in decision-making increases greatly. Still, today, according to Deloitte research, insight-driven companies are fewer than those not using an analytical approach to decision-making, even though the majority agrees on its importance. Stages of analytics maturity.

Analytics 102

Analytics Technical Review Technology Applications 102

Perficient

MARCH 19, 2024

BigQuery maximizes flexibility by separating the compute engine that analyzes your data from your storage choices. You can store and analyze your data within BigQuery or use BigQuery to assess your data where it lives. There is no need to extract data from BigQuery and there is no need to keep updating in-memory data.

Data 111

Data Google Cloud Analytics Serverless 111

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

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

Apiumhub

MARCH 4, 2021

Increasing importance of data and analytics is driving the importance of data as a service. External DaaS services enable companies to easily access external data. Internal DaaS services make it easier for companies to democratize analytics and empower their business users. Trends in DaaS. What is DaaS?

Trends 72

Trends Data Analytics Business Intelligence 72

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. Against this backdrop there are five trends for 2019 that I would like to call out. ” Deployments of large data hubs have only resulted in more data silos that are not easily understood, related, or shared.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

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. .

Analytics 108

Analytics Open Source Government Machine Learning 108

Cloudera

APRIL 1, 2024

This recognition underscores Cloudera’s commitment to continuous customer innovation and validates our ability to foresee future data and AI trends, and our strategy in shaping the future of data management. Cloudera, a leader in big data analytics, provides a unified Data Platform for data management, AI, and analytics.

Artificial Inteligence 102

Artificial Inteligence Cloud Generative AI Analytics 102

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

Xicom

JANUARY 4, 2023

As technology advances, so do trends and practices within the industry. For Android app developers, keeping up with the latest trends can be a daunting task. In this blog post, we will explore the top 10 Android app development trends that are likely to dominate in 2023. Top 10 Android app development trends.

Trends 59

Trends Artificial Inteligence Development Artificial Intelligence 59

Altexsoft

FEBRUARY 10, 2021

Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. It covers the entire data analytics lifecycle, from data extraction to visualization and reporting, using Agile practices to speed up business results.

Analytics 75

Analytics DevOps Development Software Review 75

CIO

MAY 16, 2023

With media outlets racing to get exclusives out the door on the latest “big thing,” sifting through the excitement to find the bigger picture is challenging. Big Data collection at scale is increasing across industries, presenting opportunities for companies to develop AI models and leverage insights from that data.

Innovation 237

Innovation Blockchain Artificial Intelligence Artificial Inteligence 237

The Crazy Programmer

DECEMBER 13, 2020

This blog will help you identify the most trending and latest seminar topics for CSE. Computer Science Engineering, among all other engineering courses, is the recent trend among students passing 12th board exams. In the uprising of the technological era, the trend for computer-related courses is in high demand. Cloud Storage.

Engineering 270

Engineering Wireless 3D Programming 270

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

iTexico

OCTOBER 27, 2020

Most Valuable Technology Trends 2021 For Enterprises. The state of affairs notwithstanding, remarkable progress has been made in carving out new niches via technological growth, as more and more companies have begun incorporating these new technology trends into their infrastructure. B ig Data Security Analytics.

Technical Review 52

Technical Review Trends Enterprise Technology 52

O'Reilly Media - Data

MAY 3, 2018

Privacy-preserving analytics is not only possible, but with GDPR about to come online, it will become necessary to incorporate privacy in your data products. Which brings me to the main topic of this presentation: how do we build analytic services and products in an age when data privacy has emerged as an important issue?

Analytics 127

Analytics Artificial Inteligence Data Machine Learning 127

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

CTOvision

MARCH 6, 2017

The trend of applying machine learning and artificial intelligence to the mission of cyber defense is one of the most promising activities in the cybersecurity community. The trend towards eliminating data stovepipes to allow analysts to work over all relevant security data is also a very positive movement. Bob Gourley.

Artificial Inteligence 94

Artificial Inteligence Analytics Artificial Intelligence Data 94

Apps Associates

MAY 18, 2021

Performing analytics on the data was possible but took a long time and was mostly done in batch (using map reduce routines written in Java). Yes the data lake was used as a staging ground for feeds into the data warehouse and, yes, offloading long running ETL to Hadoop clusters was an early favorite use case.

Cloud 98

Cloud Data Azure Analytics 98

ParkMyCloud

MAY 29, 2019

Trends in cloud jobs can be overall indicators into trends in the cloud computing space. Here are some trends we’re seeing. Cloud Talent Demand Trends. BI Analyst can also be described as BI Developers, BI Managers, and Big Data Engineer or Data Scientist. The Cloud Job Market is on the Rise.

Trends 72

Trends Cloud IoT Artificial Inteligence 72

Capgemini

FEBRUARY 7, 2024

Data acquisition and processing: SDaaS providers use ground stations and advanced data-processing techniques to receive, process, and analyze the data collected by satellites. This involves converting raw data into usable formats and extracting relevant information. There has been number of applications of SDaaS.

Data 52

Data Big Data Storage Innovation 52

Altexsoft

APRIL 23, 2019

And these data channels serve as a pair of eyes for executives, supplying them with the analytical information of what is going on with a business and the market. Data warehouse. Online analytical processing cubes. Data marts. Business intelligence and predictive analytics. Predictive analytics.

Business Intelligence 93

Business Intelligence Analytics Tools Strategy 93

Kentik

APRIL 23, 2018

Predictive analytics uses historical data to predict future events. In the context of IT practices, the analytics are gaining in interest, in part, due to advances in supporting technologies, such as big data, machine learning, and artificial intelligence. Big Data and Cloud-Scale Resources to the Rescue.

Analytics 40

Analytics Artificial Inteligence Network Performance 40

Trigent

FEBRUARY 15, 2023

Big Data / Fast Data – Do I need both? Big data is the vast amounts of structured and unstructured data generated from customer interactions, IoT devices, social media, and more. Big data insights are used to identify market trends, determine value propositions, and influence product design.

Data 52

Data Insurance Technical Review Big Data 52

Kentik

NOVEMBER 21, 2016

In terms of accuracy, appliances tend to miss a lot of attacks because they are so strapped for compute, memory, and storage resources. As for intelligence, traditional DDoS detection appliances summarize the raw traffic data and then discard the details, so they are literally incapable of providing deep analytics.

Big Data 40

Big Data Data B2C Storage 40

Sunflower Lab

SEPTEMBER 11, 2023

Lakes are the most widely available source of water in the world and thus the importance of lakes can be transcended to our digital concept of data lake, which has become just as important as any other digital concept in this 21st century. Mostly abundant data types are structured, unstructured and semi-structured.

Industry 52

Industry Data Retail Architecture 52

Cloudera

NOVEMBER 2, 2020

The capabilities that more and more customers are asking for are: Analytics on live data AND recent data AND historical data. Correlations across data domains, even if they are not traditionally stored together (e.g. The extreme scale of “big data”, but with the feel and semantics of “small data”.

Data 93

Data Analytics Storage Big Data 93

OTS Solutions

DECEMBER 22, 2023

Make better decisions: Companies can benefit from big data by putting analytics and data at the core of their digital transformation if the business does not. With the right mix of analytical tools, this data may be translated into crucial business insights, enabling you to make choices more quickly and more effectively.

Artificial Inteligence 130

Artificial Inteligence Technical Review Artificial Intelligence Weak Development Team 130

Abhishek Tiwari

DECEMBER 27, 2017

There are several emerging data trends that will define the future of ETL in 2018. A common theme across all these trends is to remove the complexity by simplifying data management as a whole. In contrast, Alluxio a middleware for data access - think Alluxio storage layer as fast cache.

Trends 49

Trends Artificial Inteligence Data Big Data 49

Existek

JANUARY 27, 2023

In this article, we will explore the current state of software development in the financial services industry, the sector’s challenges, and the key trends shaping the future. One of the key trends driving innovation in the financial services industry is using technology to drive growth.

Software Development 52

Software Development Trends Technology Software 52

CTOvision

DECEMBER 8, 2015

That’s why the most successful businesses today are taking data-driven business intelligence to the next level. They collect vast amounts of information, and use data science to discover new customers needs, develop new products and services, and identify trends and opportunities. Breaking Down Information Silos.

Big Data 62

Big Data Organization Data Business Intelligence 62

Altexsoft

NOVEMBER 9, 2021

If you want to streamline your procurement and gain more visibility into this process, you have to get hold of available data, analyze it, and extract value to make informed decisions. What is procurement analytics and the opportunities it offers? Main components of procurement analytics. Procurement and its challenges.

Analytics 52

Analytics Software Review Systems Review Technical Review 52