Altexsoft

FEBRUARY 8, 2021

diversity of sales channels, complex structure resulting in siloed data and lack of visibility. 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.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Hacker Earth Developers Blog

JUNE 26, 2019

Finding the right candidate for the Data Science role. Finding the right candidate for the role of a Data Scientist can be tricky and challenging. This article will help you understand what Data Science is and what skill sets to look for in a candidate when hiring for a Data Science role. . Data Science.

Data 200

Data How To Machine Learning Artificial Inteligence 200

InfoWorld

FEBRUARY 9, 2024

Microsoft Fabric encompasses data movement, data storage, data engineering, data integration, data science, real-time analytics, and business intelligence, along with data security, governance, and compliance. To read this article in full, please click here

Big Data 78

Big Data Data Azure Google Cloud 78

TechCrunch

DECEMBER 16, 2020

. “We have a class of things here that connect to a data warehouse and make use of that data for operational purposes. There’s no industry term for that yet, but we really believe that that’s the future of where data engineering is going.

Data 251

Data Analytics B2C Big Data 251

Apiumhub

DECEMBER 9, 2024

Azure Key Vault Secrets integration with Azure Synapse Analytics enhances protection by securely storing and dealing with connection strings and credentials, permitting Azure Synapse to enter external data resources without exposing sensitive statistics. When Should You Use Azure Synapse Analytics?

Azure 91

Azure Analytics Storage Machine Learning 91

TechCrunch

FEBRUARY 2, 2022

“What makes RudderStack unique is its end-to-end data pipelines for customer data optimized for data warehouses,” said Praveen Akkiraju, Managing Director at Insight Partners, who will join the company’s board.

Data 204

Data Machine Learning Artificial Inteligence Architecture 204

Apiumhub

APRIL 8, 2021

As the director of Advertisement, he works to help data-driven businesses be more successful. He also writes compelling articles about Big Data and related topics for publications such as Data Science Central, DataFloq and Dataconomy. He regularly publishes articles on Big Data and Analytics on Forbes.

Artificial Inteligence 110

Artificial Inteligence Technical Advisors Data Machine Learning 110

Altexsoft

AUGUST 21, 2019

Dedicated fields of knowledge like data engineering and data science became the gold miners bringing new methods to collect, process, and store data. Using specific tools and practices, businesses implement these methods to generate valuable insights. Data engineer. Data scientists.

Development 44

Development Software Engineering Data Engineering Architecture 44

Cloudera

JUNE 30, 2022

Today’s general availability announcement covers Iceberg running within key data services in the Cloudera Data Platform (CDP) — including Cloudera Data Warehousing ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ).

Data 88

Data Analytics Machine Learning Artificial Inteligence 88

Altexsoft

APRIL 16, 2021

In this article, we’ll talk about such a solution —- Online Analytical Processing , or OLAP technology. Namely, we’ll explain what functions it can perform, and how to use it for data analysis. An overview of data warehouse types. What is data pipeline. Extract, transform, load or ETL process guide. Building a cube.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

O'Reilly Media - Ideas

FEBRUARY 11, 2019

Foundational data technologies. Machine learning and AI require data—specifically, labeled data for training models. When it come to ethics, it’s fair to say the data community (and the broader technology community) is very engaged. Text and Language processing and analysis. Graph technologies and analytics.

Big Data 108

Big Data Technology Tools Cloud 108

Altexsoft

JANUARY 22, 2020

Please note: this topic requires some general understanding of analytics and data engineering, so we suggest you read the following articles if you’re new to the topic: Data engineering overview. A complete guide to business intelligence and analytics. Batch processing.

Analytics 20

Analytics Data IoT Analysis 20

Altexsoft

DECEMBER 9, 2020

Moreover, the MicroStrategy Global Analytics Study reports that access to data is extremely limited, taking 60 percent of employees hours or even days to get the information they need. To generalize and describe the basic maturity path of an organization, in this article we will use the model based on the most common one suggested by Gartner.

Analytics 102

Analytics Technical Review Technology Applications 102

Altexsoft

FEBRUARY 11, 2023

This suggests that today, there are many companies that face the need to make their data easily accessible, cleaned up, and regularly updated. Hiring a well-skilled data architect can be very helpful for that purpose. What is a data architect? machine learning and deep learning models; and business intelligence tools.

Data 87

Data Data Engineering Big Data Architecture 87

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 79

Architecture Data Artificial Inteligence Artificial Intelligence 79

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

Hacker Earth Developers Blog

JUNE 26, 2019

Finding the right candidate for the Data Science role. Finding the right candidate for the role of a Data Scientist can be tricky and challenging. This article will help you understand what Data Science is and what skill sets to look for in a candidate when hiring for a Data Science role. . Data Science.

Data 100

Data How To Machine Learning Artificial Inteligence 100

KitelyTech

FEBRUARY 3, 2021

Big data and data science are important parts of a business opportunity. Developing business intelligence gives them a distinct advantage in any industry. How companies handle big data and data science is changing so they are beginning to rely on the services of specialized companies.

Big Data 52

Big Data Data Development Business Intelligence 52

John Snow Labs

FEBRUARY 12, 2025

It provides a suite of tools for data engineering, data science, business intelligence, and analytics.

Artificial Inteligence 52

Artificial Inteligence Azure Healthcare Software Review 52

Altexsoft

OCTOBER 2, 2020

If your business generates tons of data and you’re looking for ways to organize it for storage and further use, you’re at the right place. Read the article to learn what components data management consists of and how to implement a data management strategy in your business.

Strategy 64

Strategy Database Administration 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. In this article, we’ll discuss the purpose of people analytics, its common use cases, and provide a roadmap of implementing HR analytics into an organization. So, data engineers make data pipelines work.

Analytics 16

Analytics Company Off-The-Shelf How To 16

Exadel

AUGUST 26, 2020

Data Analytics for Better Business Intelligence. Data is king in the modern business world. Thanks to technology, collecting data from just about any aspect of a business is possible — including tracking customers’ activity, desires and frustrations while using a product or service.

Analytics 52

Analytics Data How To Machine Learning 52

Altexsoft

OCTOBER 29, 2020

Here, we introduce you to ETL testing – checking that the data safely traveled from its source to its destination and guaranteeing its high quality before it enters your Business Intelligence reports. What is Data Engineering: Explaining the Data Pipeline, Data Warehouse, and Data Engineer Role.

Testing 63

Testing Tools Software Review Technical Review 63

Altexsoft

JANUARY 26, 2022

In recent years, it’s getting more common to see organizations looking for a mysterious analytics engineer. As you may guess from the name, this role sits somewhere in the middle of a data analyst and data engineer, but it’s really neither one nor the other. Here’s the video explaining how data engineers work.

Analytics 59

Analytics Engineering Data Engineering Software Engineering 59

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 Architecture 115

Altexsoft

JUNE 14, 2021

This article will explore the topic and its importance, how some insurers are already implementing it as their business model, how to approach personalization, and the challenges companies may encounter trying to implement it. 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

NOVEMBER 22, 2019

In this article, we’ll talk about proven data management approaches and technologies utilized in the hospitality industry to boost revenue and enhance customer experience. What is data management? Data processing in a nutshell and ETL steps outline. Let’s see how hotels can reap boost from modern BI-fueled software.

Hotels 18

Hotels Data Technical Review Systems Review 18

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.

Analytics 75

Analytics DevOps Development Software Review 75

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.

Data 52

Data Storage Construction Business Intelligence 52

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

JUNE 26, 2023

They track people’s behavior on the Internet, initiate surveys, monitor feedback, listen to signals from smart devices, derive meaningful words from emails, and take other steps to amass facts and figures that will help them make business decisions. What is data collection? Data engineering explained in 14 minutes.

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

Invid Group

AUGUST 28, 2024

External metrics can be implemented using Business Intelligence (BI) tools and shared with the clients to measure performance. They come in all flavors: different formats, templates, and from different legal processes, sizes, and quality. Internal metrics can be very technical, like hyperparameters, which can be tuned over time.

Technical Review 52

Technical Review Artificial Inteligence Performance Azure 52

Altexsoft

AUGUST 4, 2021

Instead of combing through the vast amounts of all organizational data stored in a data warehouse, you can use a data mart — a repository that makes specific pieces of data available quickly to any given business unit. For example, a company has a data mart containing all the financial data.

Data 64

Data Analytics Construction Cloud 64

Altexsoft

APRIL 26, 2022

Not long ago setting up a data warehouse — a central information repository enabling business intelligence and analytics — meant purchasing expensive, purpose-built hardware appliances and running a local data center. BTW, we have an engaging video explaining how data engineering works.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

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.

Architecture 52

Architecture Data Analytics Data Engineering 52

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

Development Storage Recruiting Architecture 52

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.

Architecture 52

Architecture Data Storage Machine Learning 52