Altexsoft

AUGUST 29, 2023

Instead of relying on traditional hierarchical structures and predefined schemas, as in the case of data warehouses, a data lake utilizes a flat architecture. This structure is made efficient by data engineering practices that include object storage. Watch our video explaining how data engineering works.

Architecture 52

Architecture Data Storage Machine Learning 52

TIBCO - Connected Intelligence

OCTOBER 11, 2021

One example of an incredible solution fueled by TIBCO Partner-to-Partner is a new IoT solution developed by TIBCO, iSteer, and u-blox. The company’s insights are backed up by a rigorous process of analysis and solution development in the areas of integration, data management, and digital transformations. Meet the Partners.

IoT 49

IoT Wireless Healthcare Technical Review 49

Capgemini

MAY 28, 2020

In most cases, manufacturers can access significant amounts of historical and real-time data from machines to make reliable use cases, but it takes a change in mindset because many collected this data but did not look at it until it was too late. The use of IoT sensors means manufacturers can access real-time data now.

Artificial Intelligence 52

Artificial Intelligence Artificial Inteligence Automotive Data Engineering 52

Cloudera

DECEMBER 20, 2022

For this reason, the need to have a data platform that allows for a fine-tuned analysis and prediction of supply and demand becomes a necessary tool to operate the business in a more efficient and profitable way. Intelligent network management. All of this introduces a new issue: grid management.

Energy 81

Energy Analytics Data Machine Learning 81

Trigent

NOVEMBER 3, 2022

Thankfully, it’s now a game for new technologies and leveraging structured and unstructured data like no other. The future of the global supply chain market lies in IoT, integrated solutions, data, and mobility. Connected logistics devices generate a massive amount of data. Enhance transparency.

Analytics 52

Analytics Data IoT Trends 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. You can start investing in data infrastructure and analytical pipelines to automate data collection and analysis mechanisms.

Insurance 88

Insurance Machine Learning Artificial Inteligence Policies 88

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

Cloudera

JANUARY 20, 2021

Data Enrichment – data pipeline processing, aggregation & management to ready the data for further refinement. Reporting – delivering business enterprise insight (sales analysis and forecasting, market research, budgeting as examples).

Data 107

Data Artificial Inteligence Analytics Machine Learning 107

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

Altexsoft

AUGUST 25, 2020

That’s why a data specialist with big data skills is one of the most sought-after IT candidates. Data Engineering positions have grown by half and they typically require big data skills. Data engineering vs big data engineering. Big data processing. maintaining data pipeline.

Big Data 75

Big Data Data Engineering Engineering Data 75

Altexsoft

FEBRUARY 8, 2021

Manufacturing is typically characterized by producing a lot of various disparate data that is hard to organize and analyze, especially with the spread of Internet of Things (IoT) devices. Cost control. Quality management. Shipment tracking and vehicle maintenance.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

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

Altexsoft

JULY 23, 2020

It facilitates collaboration between a data science team and IT professionals, and thus combines skills, techniques, and tools used in data engineering, machine learning, and DevOps — a predecessor of MLOps in the world of software development. MLOps lies at the confluence of ML, data engineering, and DevOps.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

Altexsoft

JUNE 25, 2019

If we look at the hierarchy of needs in data science implementations, we’ll see that the next step after gathering your data for analysis is data engineering. This discipline is not to be underestimated, as it enables effective data storing and reliable data flow while taking charge of the infrastructure.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

Coforge

AUGUST 31, 2020

Streamlined Underwriting Process: The automated decision-making processes will enable the insurers to steer through volume work with the advantage of offering the customers with real-time or almost real-time data analysis and predictive analysis.

Insurance 40

Insurance Technology Artificial Inteligence Policies 40

O'Reilly Media - Ideas

MAY 1, 2019

Data science and data tools. Practical Linux Command Line for Data Engineers and Analysts , May 20. First Steps in Data Analysis , May 20. Data Analysis Paradigms in the Tidyverse , May 30. Data Visualization with Matplotlib and Seaborn , June 4. SQL Fundamentals for Data , June 12-13.

Course 47

Course Training Artificial Inteligence Machine Learning 47

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. Data siloes.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Altexsoft

JANUARY 22, 2020

With the uprise of internet-of-things (IoT) devices, overall data volume increase, and engineering advancements in this field led to new ways of collecting, processing, and analysing data. As a result, it became possible to provide real-time analytics by processing streamed data. Sales region: Northern California.

Analytics 20

Analytics Data IoT Analysis 20

Existek

JANUARY 11, 2022

It might be challenging as it requires a detailed analysis of the business-specific needs and a deeper understanding of the overall market situation. . 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

DECEMBER 23, 2022

Whether your goal is data analytics or machine learning , success relies on what data pipelines you build and how you do it. But even for experienced data engineers, designing a new data pipeline is a unique journey each time. Data engineering in 14 minutes. Data availability. The ELT workflow.

Tools 52

Tools Software Review Systems Review Testing 52

Altexsoft

MARCH 16, 2021

It’s referred to as big data, since, for example, just a single complete human genome sequence produces about 200 Gb of raw data. Now, we know where big data in healthcare originates. Check our article on data engineering to get a detailed understanding of the data pipeline and its components.

Big Data 116

Big Data Healthcare Applications Data 116

Altexsoft

MARCH 31, 2020

These can be data science teams , data analysts, BI engineers, chief product officers , marketers, or any other specialists that rely on data in their work. The simplest illustration for a data pipeline. Data pipeline components. Data pipeline components. When do you need a data pipeline?

Data 76

Data Storage Analytics Data Center 76

ParkMyCloud

JANUARY 17, 2020

For individuals who perform complex Big Data analyses and have at least two years of experience using AWS. Implement core AWS Big Data services according to basic architecture best practices. Design and maintain Big Data. Leverage tools to automate data analysis. Azure Data Engineer Associate.

Google Cloud 9

Google Cloud Azure AWS Cloud 9

ParkMyCloud

MAY 29, 2019

Cloud consultants are “the experts” who can help an organization conduct an overall technical analysis and assessment of the enterprise and recommend suitable cloud technology options to promote productivity and efficiency. BI Analyst can also be described as BI Developers, BI Managers, and Big Data Engineer or Data Scientist.

Trends 72

Trends Cloud IoT Artificial Inteligence 72

Cloudera

OCTOBER 29, 2020

With the massive explosion of data across the enterprise — both structured and unstructured from existing sources and new innovations such as streaming and IoT — businesses have needed to find creative ways of managing their increasingly complex data lifecycle to speed time to insight.

Data 109

Data Machine Learning Artificial Inteligence Analytics 109

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. Collecting data from connected sensors and external sources.

Software Review 52

Software Review Technical Review Software Technology 52

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. This is no small feat and can lead to significant overhead and resource consumption.

Network 52

Network Cloud Load Balancer Firewall 52

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. Data analysis.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

Mobilunity

DECEMBER 28, 2022

Business intelligence involves using data analysis techniques to help businesses make better decisions about their operations and strategies. Statistical data analytics. IoT development. ML and AI freelance engineers are skilled in integrating ML with industrial IoT platforms featuring predictive capabilities.

Machine Learning 52

Machine Learning Artificial Inteligence Engineering How To 52

Altexsoft

JUNE 26, 2023

While all three are about data acquisition, they have distinct differences. Data collection revolves around gathering raw data from various sources, with the objective of using it for analysis and decision-making. Data integration , on the other hand, happens later in the data management flow.

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

O'Reilly Media - Ideas

MARCH 6, 2019

Data science and data tools. Practical Linux Command Line for Data Engineers and Analysts , March 13. Data Modelling with Qlik Sense , March 19-20. Foundational Data Science with R , March 26-27. What You Need to Know About Data Science , April 1. Business Data Analytics Using Python , April 29.

Course 10

Course Artificial Inteligence Training Microservices 10

Hu's Place - HitachiVantara

MARCH 18, 2019

City of Istanbul Governorship: Safe, Smart Campus The challenge was to secure the governorship campus and include multiple existing video and IoT systems. This enables real time alerts and analysis from facial recognition, traffic and parking, queue detection, people counting and license plate recognition.

Healthcare 61

Healthcare Tourism Systems Review Energy 61

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. The divide of data and teams. It works like this.

Architecture 52

Architecture Data Analytics Data Engineering 52

Altexsoft

OCTOBER 26, 2022

However, keep in mind that in practice a detailed analysis will have to be carried out concerning all possible corporate areas related to digitization. This can be anything from CRMs to AI-powered chatbots to IoT systems. That’s why it is important to discuss the differences between these top management roles. CIO vs CDO.

CTO 52

CTO Organization Technical Review Culture 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 analysis.

Big Data 78

Big Data Analytics Tools Applications 78

Altexsoft

OCTOBER 2, 2020

Data integration and interoperability: consolidating data into a single view. Specialist responsible for the area: data architect, data engineer, ETL developer. Scattered across different storages in various formats, data values don’t talk to each other. There are two main approaches to data integration.

Database Administration 64

Database Administration Strategy Data Technical Review 64

BPM

JANUARY 18, 2019

Process mining will be incorporated into larger suites of professional business process analysis tools. This will aid the faster creation of baseline models, enabling analysis and process improvement. AI-enabled data engines will provide insight about what processes can be redesigned and/or automated.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111