Altexsoft

MARCH 30, 2023

Along with thousands of other data-driven organizations from different industries, the above-mentioned leaders opted for Databrick to guide strategic business decisions. In this article, we’ll highlight the reasoning behind this choice and the challenges related to it. How data engineering works in 14 minutes.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

Cloudera

MARCH 22, 2022

The intent of this two-part article series is to articulate the value proposition of Cloudera Data Platform (CDP) as an inorganic growth enabler in different M&A settings such as corporate carve-outs, mergers and acquisitions. data engineering, data warehousing etc.);

Technical Review 80

Technical Review Strategy Data Analytics 80

Cloudera

AUGUST 30, 2022

But while state and local governments seek to improve policies, decision making, and the services constituents rely upon, data silos create accessibility and sharing challenges that hinder public sector agencies from transforming their data into a strategic asset and leveraging it for the common good. .

Architecture 78

Architecture Data Artificial Inteligence Artificial Intelligence 78

Mentormate

OCTOBER 31, 2023

Finally, it is critical to understand and plan for compliance with data regulations such as GDPR, especially for global operations. In our healthcare example, a multidisciplinary team might be necessary, encompassing data scientists and medical professionals for domain expertise and bioinformaticians for data engineering.

Artificial Inteligence 98

Artificial Inteligence Healthcare Budget Training 98

Lacework

NOVEMBER 1, 2023

While these may be true in the general macro sense, for many organizations, their data is more akin to their lifeblood. Their data is precious, absolutely essential for their functioning, and the consequences of data loss or leakage can severely threaten the health of the company. What is privacy?

System Design 52

System Design Systems Review System Data 52

Altexsoft

MARCH 2, 2023

More solutions and services are becoming available, so if you haven’t established a data governance framework yet, now is the perfect time. In this article, we will explore what data governance is, the key components of a data governance framework, and best practices for implementing a successful data governance strategy.

Government 52

Government Tools Data Weak Development Team 52

O'Reilly Media - Ideas

JANUARY 25, 2024

Rachel Stephens provides two fascinating pieces of the puzzle in a recent article on the RedMonk blog , but those pieces don’t fit together exactly. Data analysis and databases Data engineering was by far the most heavily used topic in this category; it showed a 3.6% Finally, compliance is down 27%.

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Trends Technical Review Technology Artificial Inteligence 119

InnovationM

MAY 14, 2023

Introduction As someone who has hands-on experience in constructing and leveraging data lakes, I can attest to the transformative power these repositories hold for organizations grappling with vast amounts of data. Tools like Apache Atlas and Collibra provide features to organize, catalog, and document data assets within the data lake.

Data 52

Data Storage Construction Business Intelligence 52

Altexsoft

NOVEMBER 5, 2021

Here, HIM is short for health information management, the discipline too broad to be covered in one article. So, we’ll only touch on its most vital aspects, instruments, and areas of interest — namely, data quality, patient identity, database administration, and compliance with privacy regulations. sophisticated log audit tools.

Technical Review 59

Technical Review Technology Software Review Healthcare 59

Altexsoft

NOVEMBER 9, 2021

If you want to streamline your procurement and gain more visibility into this process, you have to get hold of available data, analyze it, and extract value to make informed decisions. Compliance evaluation. Invoice and payment analytics to detect errors, compliance issues, and fraud. Tax compliance evaluation.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

Progress

DECEMBER 30, 2019

Based on my interactions with thousands of developers in the Progress / Telerik developer tools ecosystem, I wrote a separate article contrasting Kinvey with Firebase. AWS Amplify is a good choice as a development platform when: Your team is proficient with building applications on AWS with DevOps, Cloud Services and Data Engineers.

AWS 52

AWS DevOps Disaster Recovery Serverless 52

Progress

DECEMBER 30, 2019

Based on my interactions with thousands of developers in the Progress / Telerik developer tools ecosystem, I wrote a separate article contrasting Kinvey with Firebase. AWS Amplify is a good choice as a development platform when: Your team is proficient with building applications on AWS with DevOps, Cloud Services and Data Engineers.

AWS 52

AWS DevOps Disaster Recovery Serverless 52

Altexsoft

MARCH 16, 2021

But what happens to all the massive amounts of data from all these wearables and other medical and non-medical devices? 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. Big Data infrastructure in healthcare.

Big Data 116

Big Data Healthcare Applications Data 116

Data Virtualization

OCTOBER 19, 2023

This is why data mesh has emerged as a revolutionary approach to managing and scaling data infrastructure. The post Data Mesh: Challenges and Solutions appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data 52

Data Infrastructure Analysis Organization 52

Altexsoft

DECEMBER 4, 2020

Transferring data from one computer environment to another is a time-consuming, multi-step process involving such activities as planning, data profiling, testing, to name a few. You can read more about it in our previous article Data Migration: Process, Types, and Golden Rules to Follow. Data sources and destinations.

Software Review 69

Software Review Software Data Technical Review 69

Altexsoft

AUGUST 29, 2023

The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. This article explains what a data lake is, its architecture, and diverse use cases. Make sure to check out our dedicated article.

Architecture 52

Architecture Data Storage Machine Learning 52

O'Reilly Media - Ideas

MARCH 1, 2022

All datasets have world views ” is an excellent interactive article showing how bias, labeling, and data go hand in hand. The Information Battery : Pre-computing and caching data when energy costs are low to minimize energy use when power costs are high is a good way to save money and take advantage of renewable energy sources.

Trends 96

Trends Blockchain Serverless Malware 96

Hu's Place - HitachiVantara

JANUARY 3, 2019

” Deployments of large data hubs have only resulted in more data silos that are not easily understood, related, or shared. 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.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

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. Since that time, the data mesh concept has received a lot of attention and appreciation from companies pioneering this idea. And it’s their job to guarantee data quality.

Architecture 52

Architecture Data Analytics Data Engineering 52

Capgemini

NOVEMBER 14, 2022

For self-service BI to succeed, however, the entire data value chain may need to be fixed. Data has to be easy to find, understand, access, and use for everyone in the chain: data engineers, analysts, data scientists, and business users.

Agile 52

Agile Technical Review Systems Review Artificial Intelligence 52

Altexsoft

JANUARY 14, 2021

Though there are countless options for storing, analyzing, and indexing data, data warehouses have remained to the point. When reviewing BI tools , we described several data warehouse tools. In this article, we’ll take a closer look at the top cloud warehouse software, including Snowflake, BigQuery, and Redshift.

Backup 115

Backup Azure Software Review Systems Review 115

Mobilunity

NOVEMBER 24, 2021

The demand for specialists who know how to process and structure data is growing exponentially. In most digital spheres, especially in fintech, where all business processes are tied to data processing, a good big data engineer is worth their weight in gold. Who Is an ETL Engineer?

Development 52

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Altexsoft

FEBRUARY 10, 2021

Unless you meet it in the article saying that “only 13 percent data science projects make it into production.” This sounds really ominous — especially, for companies heavily investing in data-driven transformations. New approaches arise to speed up the transformation of raw data into useful insights. Consider ELT.

Analytics 75

Analytics DevOps Development Software Review 75

Cloudera

OCTOBER 7, 2021

This blog will focus more on providing a high level overview of what a data mesh architecture is and the particular CDF capabilities that can be used to enable such an architecture, rather than detailing technical implementation nuances that are beyond the scope of this article. Introduction to the Data Mesh Architecture.

Architecture 124

Architecture Data Security Technical Review 124

John Snow Labs

MAY 24, 2023

Therefore, the data needs to be properly labeled/categorized for a particular use case. Companies can use high-quality human-powered data annotation services to enhance ML and AI implementations. In this article, we will discuss the top Text Annotation tools for Natural Language Processing along with their characteristic features.

Tools 52

Tools Machine Learning Artificial Inteligence Software Review 52

Datavail

MARCH 10, 2022

In other words, 80 percent of companies’ Big Data projects will fail and/or not deliver results. There are many reasons for this failure, but poor (or a complete lack of) data governance strategies is most often to blame. Steps to an Effective Data Governance Implementation Plan.

Government 40

Government Strategy Weak Development Team Company 40

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. Supply chain management process.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Altexsoft

MARCH 14, 2023

This development has paved the way for a suite of cloud-native data tools that are user-friendly, scalable, and affordable. Known as the Modern Data Stack (MDS) , this suite of tools and technologies has transformed how businesses approach data management and analysis. Data democratization.

Data 59

Data Technical Review Software Review Artificial Inteligence 59

Altexsoft

OCTOBER 29, 2020

But before you dive in, we recommend you reviewing our more beginner-friendly articles on data transformation: Complete Guide to Business Intelligence and Analytics: Strategy, Steps, Processes, and Tools. What is Data Engineering: Explaining the Data Pipeline, Data Warehouse, and Data Engineer Role.

Testing 63

Testing Tools Software Review Technical Review 63

O'Reilly Media - Ideas

NOVEMBER 13, 2018

Just the other day, I searched Google for recent news stories about AI, and I was surprised by the number of articles that touch on fairness. One important change outlined in the report is the need for a set of data scientists who are independent from this model-building team.

Machine Learning 92

Machine Learning Artificial Inteligence Software Review Conference 92

O'Reilly Media - Ideas

FEBRUARY 11, 2019

Foundational data technologies. Machine learning and AI require data—specifically, labeled data for training models. Data lineage, data catalog, and data governance solutions can increase usage of data systems by enhancing trustworthiness of data. Data Platforms.

Big Data 87

Big Data Technology Tools Cloud 87

Cloudera

DECEMBER 10, 2020

These file formats not only help avoid data duplication into proprietary storage formats but also provide highly efficient storage formats. Multiple analytical engines (data warehousing, machine learning, data engineering, and so on) can operate on the same data in these file formats.

Data 98

Data Technical Review Storage Systems Review 98

Altexsoft

JUNE 11, 2021

In this article, we’ll explain what process mining is, how it can benefit businesses across different industries, and how you can implement it to optimize the workflows of your company. Before actually launching RPA, process mining was implemented to understand process variations and non-compliances and prepare for automation.

Applications 69

Applications Weak Development Team Systems Review Software Review 69

Capgemini

MARCH 31, 2024

A Brave New (Generative) World – The future of generative software engineering Keith Glendon 26 Mar 2024 Facebook Twitter Linkedin Disclaimer : This blog article explores potential futures in software engineering based on current advancements in generative AI.

Software Engineering 52

Software Engineering Engineering Software Generative AI 52

Existek

JANUARY 11, 2022

Read the article. In 2010, they launched Windows Azure, the PaaS, positioning it as an alternative to Google App Engine and Amazon EC2. Security, identity, and compliance. Read the article. Choosing cloud-based solutions is also about getting great data, account, and workload protection. Data Engineer $130 000.

Azure 52

Azure AWS Cloud How To 52

Altexsoft

NOVEMBER 10, 2021

A data lake is a repository to store huge amounts of raw data in its native formats ( structured, unstructured, and semi-structured ) and in open file formats such as Apache Parquet for further big data processing, analysis, and machine learning purposes. This list isn’t exhaustive.

Architecture 52

Architecture Data Storage Machine Learning 52

Altexsoft

NOVEMBER 27, 2020

Preparing the appropriate paperwork, insurance management, and ensuring the government compliance of goods and transportation. There are two predominant technologies used in package data exchange are EDI and API. Check out our article about the best EDIs and APIs for shipment tracking and how to integrate them. Data warehouse.

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Software Transportation Analytics System 69