Cloudera

JANUARY 19, 2018

Sean ascertains that larger data sets and increased access to compute power is propelling the adoption of machine learning. General Data Protection Regulation (GDPR) and Data Science. Apache Kudu: Top Use Cases for Real-Time Analytics. Simplifying Big Data in the Cloud.

Artificial Inteligence 45

Artificial Inteligence Machine Learning Big Data IoT 45

DataRobot

MARCH 10, 2022

This “revolution” stems from breakthrough advancements in artificial intelligence, robotics, and the Internet of Things (IoT). Python is unarguably the most broadly used programming language throughout the data science community. IoT Empowered Assembly Lines: Predictive Maintenance. Native Python Support for Snowpark.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning IoT 52

TIBCO - Connected Intelligence

MARCH 5, 2020

Persistent demand for self-service data is unwavering – Enabled by easier-to-use, more powerful analytic tools, business users now demand access to all data, everywhere, at any and all times. Data Is The Wisest Bet for 2020.

Technology 42

Technology Games Trends IoT 42

Existek

JANUARY 11, 2022

The cloud computing market covers many areas like business processes, infrastructure, platform, security, management, analytics supported by cloud providers. Along with meeting customer needs for computing and storage, they continued extending services by presenting products dealing with analytics, Big Data, and IoT.

Azure 52

Azure AWS Cloud How To 52

Altexsoft

FEBRUARY 8, 2021

These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development. Optimization opportunities offered by analytics.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Cloudera

MAY 10, 2018

Click to tweet : Nominations are now open for the sixth annual Cloudera Data Impact Awards! With advancements in exploratory data science, machine learning, predictive analytics, AI, and data engineering, the world is increasingly driven by data. Read how to get nominated. link] #DataImpactAwards.

Data 41

Data Machine Learning Artificial Inteligence Data Engineering 41

Cloudera

FEBRUARY 19, 2018

But when companies are looking towards new technologies such as data lakes, machine learning or predictive analytics, SAP alone is just not enough. To keep up with tech trends, businesses have to face the challenges of integrating SAP with non-SAP technologies and embark on a crusade against data silos. Governance. Cataloging.

Data 46

Data Government Big Data Compliance 46

Altexsoft

MARCH 16, 2021

In general, a data infrastructure is a system of hardware and software tools used to collect, store, transfer, prepare, analyze, and visualize data. Check our article on data engineering to get a detailed understanding of the data pipeline and its components. Big data infrastructure in a nutshell.

Big Data 116

Big Data Healthcare Applications Data 116

Altexsoft

JULY 19, 2022

She formulated the thesis in 2018 and published her first article “How to Move Beyond a Monolithic Data Lake to a Distributed Data Mesh” in 2019. So, to avoid any confusion, please be aware that data mesh is NOT. Some organizational approaches to analytics ownership are explained in our article about data science teams.

Architecture 52

Architecture Data Analytics Data Engineering 52

TIBCO - Connected Intelligence

DECEMBER 7, 2021

While data-driven organizations have more information to work with than ever before, this also means dealing with more data sources, siloed data , complexity in data integration and data access, and growing data compliance mandates.

Architecture 49

Architecture Data Government Agile 49

BPM

JANUARY 18, 2019

That augmentation must be in a form attractive to humans while enabling security, compliance, authenticity and auditability. As we move into a world that is more and more dominated by technologies such as big data, IoT, and ML, more and more processes will be started by external events. And herein lies the true challenge!'.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

Altexsoft

NOVEMBER 23, 2021

But this data is all over the place: It lives in the cloud, on social media platforms, in operational systems, and on websites, to name a few. Not to mention that additional sources are constantly being added through new initiatives like big data analytics , cloud-first, and legacy app modernization.

Virtualization 69

Virtualization Tools Data Architecture 69

TIBCO - Connected Intelligence

DECEMBER 20, 2021

TIBCO DQ will become the new data quality product family, through an evolution of our current data quality offerings, significantly enhancing current capabilities available throughout the TIBCO data fabric with built-in AI and ML to automate quality, detection, monitoring, and anomaly resolution.

Innovation 26

Innovation Analytics Virtualization Cloud 26

Altexsoft

NOVEMBER 10, 2021

Better data management: Not only can lakehouses keep large volumes of diverse data, but they also allow multiple use cases for it, including advanced analytics, reporting, and machine learning. Key features of a data lakehouse. Moreover, they support real-time data, e.g., streams from IoT devices.

Architecture 52

Architecture Data Storage Machine Learning 52

Altexsoft

AUGUST 22, 2022

A data fabric is an architecture design presented as an integration and orchestration layer built on top of multiple disjointed data sources like relational databases , data warehouses , data lakes, data marts , IoT , legacy systems, etc., to provide a unified view of all enterprise data.

Architecture 52

Architecture Artificial Inteligence Technical Review Data 52

Agile Engine

DECEMBER 27, 2023

From emerging trends to hiring a data consultancy, this article has everything you need to navigate the data analytics landscape in 2024. What is a data analytics consultancy? Big data consulting services 5. 4 types of data analysis 6. Data analytics use cases by industry 7.

Big Data 52

Big Data Analytics Data Analysis 52

Cloudera

OCTOBER 7, 2021

A data mesh can be defined as a collection of “nodes”, typically referred to as Data Products, each of which can be uniquely identified using four key descriptive properties: . Data and Metadata: Data inputs and data outputs produced based on the application logic.

Architecture 121

Architecture Data Security Technical Review 121

Hu's Place - HitachiVantara

JANUARY 15, 2019

When the formation of Hitachi Vantara was announced, it was clear that combining Hitachi’s broad expertise in OT (operational technology) with its proven IT product innovations and solutions, would give customers a powerful, collaborative partner, unlike any other company, to address the burgeoning IoT market.

Systems Review 72

Systems Review Storage System Software Review 72

Altexsoft

MARCH 14, 2023

It must collect, analyze, and leverage large amounts of customer data from various sources, including booking history from a CRM system, search queries tracked with Google Analytics, and social media interactions. This means that companies don’t necessarily need a large data engineering team. Data democratization.

Data 59

Data Technical Review Software Review Artificial Inteligence 59