CIO

JULY 18, 2023

CIO.com’s 2023 State of the CIO survey recently zeroed in on the technology roles that IT leaders find the most difficult to fill, with cybersecurity, data science and analytics, and AI topping the list. S&P Global also needs complementary skills in software architecture, multicloud, and data engineering to achieve its AI aims. “It

Technical Advisors 215

Technical Advisors Artificial Inteligence Generative AI How To 215

O'Reilly Media - Ideas

JANUARY 8, 2019

From infrastructure to tools to training, Ben Lorica looks at what’s ahead for data. Whether you’re a business leader or a practitioner, here are key data trends to watch and explore in the months ahead. Increasing focus on building data culture, organization, and training. Cloud for data infrastructure.

Trends 87

Trends Data Machine Learning Artificial Inteligence 87

Apiumhub

SEPTEMBER 20, 2023

Tech Conferences Compass Tech Summit – October 5-6 Compass Tech Summit is a remarkable 5-in-1 tech conference, encompassing topics such as engineering leadership, AI, product management, UX, and data engineering that will take place on October 5-6 at the Hungarian Railway Museum in Budapest, Hungary.

Conference 96

Conference Artificial Inteligence UI/UX Machine Learning 96

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

Trigent

AUGUST 26, 2022

Working with a custom software development company is imperative when you plan to create an extraordinary digital project. The company is ranked as a top software development company in Massachusetts on the GoodFirms ranking list. Expert assistance and agile technology solutions make your work easier.

Software Review 52

Software Review Software Technical Review Artificial Intelligence 52

Hu's Place - HitachiVantara

APRIL 11, 2019

Few if any data management frameworks are business focused, to not only promote efficient use of data and allocation of resources, but also to curate the data to understand the meaning of the data as well as the technologies that are applied to the data so that data engineers can move and transform the essential data that data consumers need.

Data Engineering 81

Data Engineering Machine Learning Artificial Inteligence Technical Review 81

ParkMyCloud

MAY 29, 2019

As more and more enterprises drive value from container platforms, infrastructure-as-code solutions, software-defined networking, storage, continuous integration/delivery, and AI, they need people and skills on board with ever more niche expertise and deep technological understanding. IoT Engineer.

Trends 72

Trends Cloud IoT Artificial Inteligence 72

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. After all, machine learning with Python requires the use of algorithms that allow computer programs to constantly learn, but building that infrastructure is several levels higher in complexity.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

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

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

Cloud-based spending will reach 60% of all IT infrastructure and 60-70% of all software, services, and technology spending by 2020. Hybrid clouds must bond together the two clouds through fundamental technology, which will enable the transfer of data and applications.

Cloud 78

Cloud Google Cloud Azure AWS 78

Kentik

MAY 31, 2023

For many enterprises, applications represent only a portion of a much larger reliability mandate, including offices, robotics, hardware, and IoT, and the complex networking, data, and observability infrastructure required to facilitate such a mandate.

Network 52

Network Cloud Load Balancer Firewall 52

Cloudera

MAY 18, 2021

Infrastructure cost optimization by enabling container-based scalability for compute resources based on processing load and by leveraging object storage that has lower price point than compute-attached storage. Technology and infrastructure costs . Cloudera subscription and compute costs.

Cloud 86

Cloud Technical Review Storage Backup 86

Altexsoft

DECEMBER 9, 2020

So, the path that companies cover in their analytical development can be broken down into 5 stages: No analytics refers to companies with no analytical processes whatsoever. Descriptive analytics lets us know what happened , gathering, and visualizing historical data. Introducing data engineering and data science expertise.

Analytics 102

Analytics Technical Review Technology Applications 102

Apiumhub

JUNE 22, 2021

Data Innovation Summit topics. Data Innovation Summit: networking platform. Same as last year, the event offers six workshops (crash-course) themes, each dedicated to a unique domain area: Data-driven Strategy, Analytics & Visualisation, Machine Learning, IoT Analytics & Data Management, Data Management and Data Engineering.

Innovation 83

Innovation Data Technical Review Artificial Inteligence 83

Altexsoft

MARCH 31, 2020

Only after these actions can you analyze data with dedicated software (a so-called online analytical processing or OLAP system). But how do you move data? You need to have infrastructure, hardware and/or software, that will allow you to do that. You need an efficient data pipeline. What is a data pipeline?

Data 76

Data Storage Analytics Data Center 76

Confluent

JUNE 7, 2019

At TokenAnalyst , we are building the core infrastructure to integrate, clean, and analyze blockchain data. Data on a blockchain is also known as on-chain data. We offer both historical and low-latency data streams of on-chain data across multiple blockchains. Why does on-chain data matter?

Blockchain 92

Blockchain Data Technical Review Software Review 92

Mobilunity

MAY 8, 2023

Key zones of an Enterprise Data Lake Architecture typically include ingestion zone, storage zone, processing zone, analytics zone, and governance zone. Ingestion zone is where data is collected from various sources and ingested into the data lake. Storage zone is where the raw data is stored in its original format.

Engineering 52

Engineering Data Storage AWS 52

Altexsoft

JUNE 14, 2021

InsureApp is another company that contextualizes behavior and translates it into personalized insurance by combining and interpreting data from smartphone sensors and IoT devices. Invest in data infrastructure. You’ll need a data engineering team for that. How data engineers and data platforms work.

Insurance 88

Insurance Machine Learning Artificial Inteligence Policies 88

Altexsoft

JULY 19, 2022

It’s easiest to understand the concept of a data mesh by looking at the core principles behind it which we’re going to uncover more extensively later on. They are: domain-oriented decentralized data ownership and architecture, data as a product, self-serve data infrastructure as a service, and. But not only.

Architecture 52

Architecture Data Analytics Data Engineering 52

Altexsoft

MARCH 16, 2021

Let’s take a quick look at the big data infrastructure. Big Data infrastructure in healthcare. In general, a data infrastructure is a system of hardware and software tools used to collect, store, transfer, prepare, analyze, and visualize data. Big data infrastructure in a nutshell.

Big Data 116

Big Data Healthcare Applications Data 116

DataRobot

MARCH 10, 2022

This “revolution” stems from breakthrough advancements in artificial intelligence, robotics, and the Internet of Things (IoT). With Snowflake and DataRobot, organizations can capture this data and rapidly develop artificially intelligent applications that immediately impact the bottom line. Native Python Support for Snowpark.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning IoT 52

ParkMyCloud

DECEMBER 11, 2020

Coursera includes a number of free courses including topics in Machine Learning, Architecting, Data Engineering, Developing Applications, and the list goes on. . In conjunction with Coursera, Google Cloud offers hands-on training with specialized labs available via Qwiklabs , a learning lab environment for developers.

Google Cloud 97

Google Cloud Training Resources Cloud 97

Altexsoft

FEBRUARY 22, 2022

Such an approach requires a great deal of investment since a whole ecosystem has to be created, including IoT sensors installation, acquiring specialized software, creating and maintaining machine learning (ML) models, engaging IT and data science specialists , and so on. Predictive maintenance: building custom data infrastructure.

Software Review 52

Software Review Technical Review Software Technology 52

Altexsoft

JULY 23, 2020

Living in the shadow, this stage, according to the recent study , eats up 25 percent of data scientists time. In other words, they dedicate a quarter of their efforts to infrastructure — instead of doing what they can do best. MLOps lies at the confluence of ML, data engineering, and DevOps. Data validation.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

Datavail

JUNE 15, 2023

“It unifies the business model across all the different types of analytics workloads, whether they’re SQL, machine learning – whatever job you want, you can use the same compute infrastructure. Data Factory : A data integration tool with 150+ connectors to cloud and on-premises data sources.

Azure 52

Azure Analytics Storage Generative AI 52

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

Hu's Place - HitachiVantara

MARCH 18, 2019

Hitachi will collaborate with companies in Turkey to deliver state of the art health care solutions that will contribute to the development of healthcare and improve the quality of life in the region. Pentaho unlocked mapR to enable data science and enabled business users to operationalize data through self-service.

Healthcare 61

Healthcare Tourism Systems Review Energy 61

Cloudera

OCTOBER 7, 2021

Also included, business and technical metadata, related to both data inputs / data outputs, that enable data discovery and achieving cross-organizational consensus on the definitions of data assets. A (loose) coupling mechanism: A capability that enables data consumers to consume data in a reusable way (i.e.,

Architecture 124

Architecture Data Security Technical Review 124

Altexsoft

OCTOBER 2, 2020

Data architecture is a starting point for any data management model. Fitting into wider enterprise architecture, it outlines how data is collected, integrated, transformed, stored, and used. A data architect focuses on building a robust infrastructure so that data brings business value.

Database Administration 64

Database Administration Strategy Data Technical Review 64

Altexsoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. In other words, Kafka can serve as a messaging system, commit log, data integration tool, and stream processing platform. Cloudera , focusing on Big Data analytics. Flexibility. Red Hat , acquired by IBM.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Altexsoft

JULY 18, 2023

Its flexibility allows it to operate on single-node machines and large clusters, serving as a multi-language platform for executing data engineering , data science , and machine learning tasks. Before diving into the world of Spark, we suggest you get acquainted with data engineering in general. Stream processing.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

Altexsoft

MAY 14, 2021

To understand Big Data, you need to get acquainted with its attributes known as the four V’s: Volume is what hides in the “big” part of Big Data. This relates to terabytes to petabytes of information coming from a range of sources such as IoT devices, social media, text files, business transactions, etc. Data ingestion.

Big Data 78

Big Data Analytics Tools Applications 78

Altexsoft

MARCH 14, 2023

In recent years, cloud-based data warehouses have revolutionized data processing with their advanced massively parallel processing (MPP) capabilities and SQL support. This development has paved the way for a suite of cloud-native data tools that are user-friendly, scalable, and affordable. Cloud-first.

Data 59

Data Technical Review Software Review Artificial Inteligence 59

Existek

JANUARY 11, 2022

The cloud computing market covers many areas like business processes, infrastructure, platform, security, management, analytics supported by cloud providers. Looking for a comprehensive guide on SaaS development? In 2010, they launched Windows Azure, the PaaS, positioning it as an alternative to Google App Engine and Amazon EC2.

Azure 52

Azure AWS Cloud How To 52

Altexsoft

APRIL 13, 2023

Due to extensive usage of connected IoT devices and advanced processing technologies, SCCTs not only gather data and build operational reports but also create predictions, define the impact of various macro- and microeconomic factors on the supply chain, and run “what-if” scenarios to find the best course of action. To buy or build?

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

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.

Technology 42

Technology Games Trends IoT 42

Altexsoft

OCTOBER 26, 2022

Develop and integrate a digital strategy. This is a corporate executive who is in charge of implementing and managing information technology (IT) infrastructure and making sure the entire IT department works efficiently. Today, the CIO’s focus is primarily on a company’s IT architecture and infrastructure. CMO vs CDO.

CTO 52

CTO Organization Technical Review Culture 52