The Crazy Programmer

MARCH 14, 2020

The existence of Instagram influencers, YouTubers, remote software QA testers , big data engineers, and so on was unthinkable a decade ago. All kinds of industries have been gathering data for decades but new approaches to it made it possible for people to become data experts. Enter Human Transformation Technology.

Artificial Intelligence 208

Artificial Intelligence Artificial Inteligence Survey Technology 208

Altexsoft

MARCH 16, 2021

In this article, we will explain the concept and usage of Big Data in the healthcare industry and talk about its sources, applications, and implementation challenges. What is Big Data and its sources in healthcare? So, what is Big Data, and what actually makes it Big? Let’s see where it can come from.

Big Data 116

Big Data Healthcare Applications Data 116

O'Reilly Media - Ideas

APRIL 9, 2019

A few months ago, I wrote about the differences between data engineers and data scientists. An interesting thing happened: the data scientists started pushing back, arguing that they are, in fact, as skilled as data engineers at data engineering. Data engineering is not in the limelight.

Data Engineering 111

Data Engineering Engineering Data Technical Review 111

Cloudera

MAY 27, 2021

Big data and AI amplify the problem. “If Big data algorithms are smart, but not smart enough to solve inherently human problems. Social media platforms have struggled with this. Social media platforms are grappling with something newspaper publishers figured out long ago: Self-censorship is your friend.

Artificial Inteligence 114

Artificial Inteligence Artificial Intelligence Technical Review Systems Review 114

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

Hu's Place - HitachiVantara

MAY 10, 2019

These new technologies open up new risks such as phishing, identity theft, card skimming, viruses and Trojans, spyware and adware, social engineering, website cloning and cyber stalking and vishing (If you have a mobile phone, you’ve likely had to contend with the increasing number and sophistication of vishing scams).

Data 90

Data Machine Learning Artificial Inteligence Weak Development Team 90

Altexsoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

O'Reilly Media - Ideas

JUNE 4, 2019

Understanding Data Science Algorithms in R: Scaling, Normalization and Clustering , August 14. Real-time Data Foundations: Spark , August 15. Visualization and Presentation of Data , August 15. Python Data Science Full Throttle with Paul Deitel: Introductory AI, Big Data and Cloud Case Studies , September 24.

Course 68

Course Training Artificial Inteligence Software Review 68

Apiumhub

APRIL 1, 2021

Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data by by EMC Education Services. The whole data analytics lifecycle is explained in detail along with case study and appealing visuals so that you can see the practical working of the entire system.

Artificial Inteligence 52

Artificial Inteligence Data Handbook Machine Learning 52

Openxcell

MAY 8, 2023

If you’re still in doubt about how to prevent data leakage, hire a big data engineer. Types of Data Leakage In the World of Data Security, there are many types of data leakage; it is crucial to understand that it can stem from internal or external sources.

Data 52

Data Software Review Technical Review ChatGPT 52

d2iq

FEBRUARY 19, 2021

Components that are unique to data engineering and machine learning (red) surround the model, with more common elements (gray) in support of the entire infrastructure on the periphery. Before you can build a model, you need to ingest and verify data, after which you can extract features that power the model.

Artificial Inteligence 103

Artificial Inteligence Machine Learning Technical Review Software Review 103

O'Reilly Media - Ideas

JUNE 5, 2019

Understanding Data Science Algorithms in R: Scaling, Normalization and Clustering , August 14. Real-time Data Foundations: Spark , August 15. Visualization and Presentation of Data , August 15. Python Data Science Full Throttle with Paul Deitel: Introductory AI, Big Data and Cloud Case Studies , September 24.

Course 51

Course Training Artificial Inteligence Software Review 51

Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Altexsoft

MAY 14, 2021

Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics. Key Big Data characteristics.

Big Data 78

Big Data Analytics Tools Applications 78

Altexsoft

JUNE 14, 2021

Data obtained from social media activity, fitness trackers, GPS, and other tech can help you serve customers better. On top of that, the company uses big data analytics to quantify losses and predict risks by placing the client into a risk group and quoting a relevant premium. You’ll need a data engineering team for that.

Insurance 88

Insurance Machine Learning Artificial Inteligence Policies 88

Altexsoft

APRIL 13, 2023

as well as third-party data providers (e.g., market data, weather, maps, social media, etc.). A central data hub To integrate all the information, you need a centralized repository that stores both structured and unstructured data. to develop all the data architecture and analytics solutions. Data siloes.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

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

Altexsoft

SEPTEMBER 9, 2022

In data science , metadata is one of the central aspects: It describes data (including unstructured data streams) fed into a big data analytical platform, capturing, for example, formats, file sizes, source of information, permission details, etc. An example of social media post metadata. Types of metadata.

Tools 59

Tools Technical Review Software Review Systems Review 59

AWS Machine Learning - AI

JANUARY 26, 2024

Begin increasing organizational resiliency by socializing your teams to consider AI, ML, and generative AI security a core business requirement and top priority throughout the whole lifecycle of the product, from inception of the idea, to research, to the application’s development, deployment, and use.

Artificial Inteligence 116

Artificial Inteligence Generative AI Security Applications 116

Altexsoft

AUGUST 19, 2022

This is the official Power BI community space where you can connect to peers, talk to experts, discuss your issues, and, you know, socialize. Microsoft provides a bunch of certifications for developers, administrators, data engineers , solution architects , DevOps engineers , and so on. Microsoft learning. Certification.

Weak Development Team 52

Weak Development Team Data Azure Analytics 52

Mobilunity

NOVEMBER 30, 2022

That’s why a lot of enterprises look for an experienced Big Data engineer to add to their team. And the right data analyst freelance can add innovation factor and boost the company’s performance among the competition. Benefits of Hiring a Data Engineer Freelance. Top Sites to Hire a Data Analyst Freelance.

Data 52

Data How To Recruiting Comparison 52

CIO

AUGUST 5, 2022

Key data visualization benefits include: Unlocking the value big data by enabling people to absorb vast amounts of data at a glance. Identifying errors and inaccuracies in data quickly. Dundas BI: Dundas BI is a BI platform for visualizing data, building and sharing dashboards and reports, and embedding analytics.

Data 358

Data Analytics Travel Business Intelligence 358

Altexsoft

FEBRUARY 8, 2021

A single comment in social media can have a tremendous impact, so traditional methods are not always effective. In other cases, you might discover that you have the data, but it has to be prepared and digitized (like paper documents or qualitative data from emails or social media). Assemble the data team.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Altexsoft

JUNE 26, 2023

Data collection is a methodical practice aimed at acquiring meaningful information to build a consistent and complete dataset for a specific business purpose — such as decision-making, answering research questions, or strategic planning. For this task, you need a dedicated specialist — a data engineer or ETL developer.

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

Hu's Place - HitachiVantara

MARCH 18, 2019

As a megacity Istanbul has turned to smart technologies to answer the challenges of urbanization, with more efficient delivery of city services and increasing the quality and accessibility of such services as transportation, energy, healthcare, and social services. Hitachi is engaged with Istanbul to deliver Smart City Solutions.

Healthcare 61

Healthcare Tourism Systems Review Energy 61

Exadel

AUGUST 26, 2020

So, to know what data is available and in what structure it is organized simplifies the overall business processes and makes it possible to see the whole picture in a clear and transparent way. For example, a company may have millions of lines of data in its database, but business leaders need a summary report for just the previous month.

Analytics 52

Analytics Data How To Machine Learning 52

Altexsoft

NOVEMBER 9, 2021

Using internal (such as late delivery or defect rate) and external data (such as supplier company reports, news, aforementioned analytical platforms, or even social media), such solutions can identify risks in advance and help avoid supply chain disruptions by suggesting to substitute the supplier or take preventive measures.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

Altexsoft

NOVEMBER 10, 2021

Key data warehouse limitations: Inefficiency and high costs of traditional data warehouses in terms of continuously growing data volumes. Inability to handle unstructured data such as audio, video, text documents, and social media posts. Of course, there may be other motivations behind moving to a data lakehouse.

Architecture 52

Architecture Data Storage Machine Learning 52

Kentik

DECEMBER 15, 2016

IDC’s recognition of Kentik was two-fold, based not only on the fact that we’re SaaS/cloud-based (in fact, we also can deploy our big data solution on an on-premises cluster) but also on the deep capabilities of our Kentik Detect product. Why Kentik? That’s cloud-washing, a phenomenon that should be approached with wariness.

UI/UX 40

UI/UX Innovation Big Data Network 40

Altexsoft

NOVEMBER 23, 2021

Nowadays, all organizations need real-time data to make instant business decisions and bring value to their customers faster. 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. Identify your consumers.

Virtualization 69

Virtualization Tools Data Architecture 69

Altexsoft

OCTOBER 26, 2022

To enable this conversion, a CDO uses digital information and modern technologies such as the cloud, the Internet of Things , mobile apps, social media, machine learning-based products, and digital marketing. CMOs are often the catalysts for the digitization that drive the innovation agenda. Who reports to whom? Business acumen.

CTO 52

CTO Organization Technical Review Culture 52

BPM

JANUARY 18, 2019

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. AI-enabled data engines will provide insight about what processes can be redesigned and/or automated. Lloyd Dugan BPM.com [link]. A decade later, Gartner’s V.P.,

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

Altexsoft

NOVEMBER 5, 2021

It generates and stores a so-called golden record per patient with a subset of key data elements such as name, date of birth, demographic details, social security number, and address. urrently, health information management as a discipline continues expanding — this time, towards Big Data and analytics.

Technical Review 59

Technical Review Technology Software Review Healthcare 59

StubHub

MARCH 1, 2019

BalanceForBetter is the theme of this year’s International Women’s Day , a global celebration of the social, economic and political achievements of women?—?and It means that anyone who has the talent and the wherewithal to work at StubHub will be judged by the quality of their work and their career potential.

CTO Coach 40

CTO Coach Weak Development Team Leadership Culture 40

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. Snowflake data management processes.

Database Administration 64

Database Administration Strategy Data Technical Review 64

Altexsoft

OCTOBER 3, 2019

Mark Huselid and Dana Minbaeva in Big Data and HRM call these measures the understanding of the workforce quality. One of these tools, Fama , uses machine learning and natural language processing to analyze public online content and internal HR data to spot such red flags. So, data engineers make data pipelines work.

Analytics 16

Analytics Company Off-The-Shelf How To 16

Altexsoft

AUGUST 22, 2022

In the data fabric vs data lake dilemma, everything is simple. Data lakes are central repositories that can ingest and store massive amounts of both structured and unstructured data, typically for future analysis, big data processing , and machine learning. A data fabric, on the contrary, doesn’t store data.

Architecture 52

Architecture Artificial Inteligence Technical Review Data 52