Hu's Place - HitachiVantara

JANUARY 3, 2019

In order to utilize the wealth of data that they already have, companies will be looking for solutions that will give comprehensive access to data from many sources. More focus will be on the operational aspects of data rather than the fundamentals of capturing, storing and protecting data.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

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. Kudu makes running real-time analytics easier than ever before and is foundational to a number of successful Cloudera IoT customers.

Artificial Inteligence 45

Artificial Inteligence Machine Learning Big Data IoT 45

TIBCO - Connected Intelligence

MARCH 5, 2020

Time-to-solution expectations for new data-driven solutions are even faster – With better data-driven solutions often the competitive battlefield, victory goes to the swift. Data quality remains elusive – Diverse and evolving data definitions, syntax, structures, sources, and uses conspire to limit data efficacy.

Technology 42

Technology Games Trends IoT 42

TIBCO - Connected Intelligence

APRIL 15, 2021

So get used to the fact that the data you need is going to be everywhere and get used everywhere – your cloud providers, your computer rooms, on desktops and mobile phones, within IoT-connected devices, and at third-parties including your customers, vendors, partners, and more. Real-time data’s importance is soaring.

Analytics 41

Analytics Development Team Review Technical Review Data 41

Existek

JANUARY 11, 2022

Along with meeting customer needs for computing and storage, they continued extending services by presenting products dealing with analytics, Big Data, and IoT. They focus much attention on advancing user experiences utilizing AI, robotics, machine learning, IoT, etc. . Security, identity, and compliance. Business apps.

Azure 52

Azure AWS Cloud How To 52

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

With a modern, top-notch, in-memory columnar database it offers full coverage of all major industries and business processes, from data entry to finance, legal, compliance, production planning, and HR. It’s the de facto choice for all major corporations on the planet to manage their business data. Governance. Cataloging.

Data 46

Data Government Big Data Compliance 46

ParkMyCloud

JANUARY 17, 2020

Additionally, they must be able to implement and automate security controls, governance processes, and compliance validation. Individuals will prove their understanding of cloud concepts, Azure pricing and support, core Azure services, as well as the fundamentals of cloud privacy, security, trust and compliance. . GCP Certifications.

Google Cloud 9

Google Cloud Azure AWS Cloud 9

Altexsoft

FEBRUARY 8, 2021

The data that your procurement management software generates can help you analyze potential suppliers’ performance by comparing their KPIs, prices, compliance, and other variables. More advanced analytics enable conducting preventive or predictive maintenance based on data from IoT devices and various sensors connected to equipment.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

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

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

Altexsoft

JULY 19, 2022

Decentralized data ownership by domain. Zhamak Dehghani divides the data into the “two planes”: The operational plane presents the data from the source systems where it originates — for example, front-desk apps, IoT systems , point of sales systems , etc. And it’s their job to guarantee data quality.

Architecture 52

Architecture Data Analytics Data Engineering 52

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

TIBCO - Connected Intelligence

AUGUST 10, 2020

Taking action to leverage your data is a multi-step journey, outlined below: First, you have to recognize that sticking to the status quo is not an option. Your data demands, like your data itself, are outpacing your data engineering methods and teams.

Virtualization 69

Virtualization Data How To Data Engineering 69

Altexsoft

DECEMBER 4, 2020

Three types of data migration tools. Automation scripts can be written by data engineers or ETL developers in charge of your migration project. This makes sense when you move a relatively small amount of data and deal with simple requirements. Phases of the data migration process. Data sources and destinations.

Software Review 69

Software Review Software Data Technical Review 69

Altexsoft

NOVEMBER 10, 2021

Unlike warehouses that can only deal with structured data, lakehouses allow for a wider choice of data formats including video, audio, text documents, PDF files, system logs, etc. Moreover, they support real-time data, e.g., streams from IoT devices. Open formats support. websites, etc. This list isn’t exhaustive.

Architecture 52

Architecture Data Storage Machine Learning 52

Altexsoft

NOVEMBER 23, 2021

If the transformation step comes after loading (for example, when data is consolidated in a data lake or a data lakehouse ), the process is known as ELT. You can learn more about how such data pipelines are built in our video about data engineering. Identify your consumers.

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

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

CIO

JULY 5, 2023

For this reason, a multidisciplinary working group has been created at the competence center, whose mission will be to guarantee the responsible use of AI, ensuring security and regulatory compliance at all times. At the technological forefront To reach its goal, Casado will rely on a strategic package of cutting-edge technologies.

Artificial Inteligence 264

Artificial Inteligence Generative AI Energy Strategic Planning 264

Cloudera

OCTOBER 7, 2021

Data Lineage : Data constituents (including Data Consumers, Producers and Data Stewards) should be able to track lineage of data as it flows from data producers to data consumers but also, when applicable, as data flows between different data processing stages within the boundaries of a given data product.

Architecture 122

Architecture Data Security Technical Review 122

Agile Engine

DECEMBER 27, 2023

Case study: leveraging AgileEngine as a data solutions vendor 11. Key takeaways Any organization that operates online and collects data can benefit from a data analytics consultancy, from blockchain and IoT, to healthcare and financial services The market for data analytics globally was valued at $112.8

Big Data 52

Big Data Analytics Data Analysis 52

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

That’s why some MDS tools are commercial distributions designed to be low-code or even no-code, making them accessible to data practitioners with minimal technical expertise. This means that companies don’t necessarily need a large data engineering team. Data democratization. Data sources component in a modern data stack.

Data 59

Data Technical Review Software Review Artificial Inteligence 59