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

JUNE 14, 2021

According to the Accenture study , 95 percent of new customers are ready to share their data in exchange for personalized insurance services. Accenture personalized insurance study. 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

Cloudera

AUGUST 31, 2021

Today, modern data warehousing has evolved to meet the intensive demands of the newest analytics required for a business to be data driven. Traditional data warehouse vendors may have maturity in data storage, modeling, and high-performance analysis. Business Problem & Background.

Data 82

Data Analytics Cloud Technical Review 82

Kentik

MAY 23, 2017

Note that the above use cases cover network performance monitoring, planning, and business intelligence. Big data insights have the power to drive efficiency, market savvy, automation, and better service experience. It’s one thing to know that something would be good for your business, and quite another to actually achieve it.

Network 40

Network Open Source Big Data Load Balancer 40

Altexsoft

APRIL 13, 2023

To store all this diverse information, you’ll have to utilize a centralized data repository such as a data warehouse or data lake. You can also consider a cloud data lakehouse as an option since it addresses the limitations of the aforementioned repository types and works with various data workloads. Data siloes.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Altexsoft

AUGUST 19, 2022

In our blog, we’ve been talking a lot about the importance of business intelligence (BI), data analytics, and data-driven culture for any company. Multiple studies continuously demonstrate the superiority of analytics-based organizations (e.g., What is Power used for? Certification. Third-party education.

Weak Development Team 52

Weak Development Team Data Azure Analytics 52

CIO

AUGUST 18, 2022

Traditionally, organizations have maintained two systems as part of their data strategies: a system of record on which to run their business and a system of insight such as a data warehouse from which to gather business intelligence (BI). You can intuitively query the data from the data lake.

Data 350

Data Artificial Inteligence Technical Advisors Technical Review 350

CIO

APRIL 4, 2023

Despite these AI-powered examples, businesses have only just begun to embrace AI, with an estimated 12% fully using AI technology. In one Forrester study and financial analysis, it was found that AI-enabled organizations can gain an ROI of 183% over three years. 1 But this is changing rapidly.

Architecture 130

Architecture Data Analysis Construction 130

Altexsoft

APRIL 16, 2021

As the topic is closely related to business intelligence (BI) and data warehousing (DW), we suggest you to get familiar with general terms first: A guide to business intelligence. An overview of data warehouse types. What is data pipeline. Extract, transform, load or ETL process guide.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

O'Reilly Media - Ideas

FEBRUARY 11, 2020

Key survey results: The C-suite is engaged with data quality. Data scientists and analysts, data engineers, and the people who manage them comprise 40% of the audience; developers and their managers, about 22%. Data quality might get worse before it gets better. An additional 7% are data engineers.

Weak Development Team 126

Weak Development Team Data Technical Review Survey 126

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 lakes are mostly used by data scientists for machine learning projects.

Data 76

Data Storage Analytics Data Center 76

ParkMyCloud

MAY 29, 2019

You may find of interest, cloud computing careers relatable to Cloud Consultants include Cloud Security Engineers, Cloud Operations Engineers, and Cloud Infrastructure Engineers. Business Intelligence Analyst. 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

Perficient

APRIL 1, 2024

Case Study A private equity organization wants to have a close eye on equity stocks it has invested in for their clients. They want to generate trends, predictions (using ML), and analyze data based on algorithms developed by their portfolio management team in collaboration with data scientists written in Python.

Data 64

Data Azure Case Study Data Engineering 64

Altexsoft

NOVEMBER 9, 2021

Many people believe that shopping is a therapy (and as a matter of fact, studies prove it). In business, shopping — or procurement — isn’t that pleasing. In addition, having accurate, data-based forecasts can be a great help at the initial negotiating stage. Extract data. Consolidate data.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

Altexsoft

SEPTEMBER 20, 2019

Not only technological companies are concerned about data analysis, but any kind of business is. Analyzing business information to facilitate data-driven decision making is what we call business intelligence or BI. How is data visualized in BI? Business intelligence data processing in a nutshell.

Business Intelligence 18

Business Intelligence Tools Data Analytics 18

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

JULY 29, 2022

Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics. According to the study by the Business Application Research Center (BARC), Hadoop found intensive use as. a suitable technology to implement data lake architecture. Robust community.

Big Data 59

Big Data Data Google Cloud Storage 59

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

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.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

StubHub

SEPTEMBER 20, 2018

Morin , Chief Data Officer I like to joke that I am one of the original data nerds?—?I I was into it before data was cool. In grad school, I studied operations research and convex optimization, which back then was basically a more clinical way of saying “data science.”

Data 40

Data Scalability Analytics Sport 40

Kentik

SEPTEMBER 5, 2017

To briefly review, Interface Classification enables an organization to quickly and efficiently assign a Connectivity Type and Network Boundary value to every interface in the network, and to store those values in the Kentik Data Engine (KDE) records of each flow that is ingested by Kentik Detect. hot-potato-routing (ROI = $$$$$).

Transportation 40

Transportation Network Analysis Groups 40

TIBCO - Connected Intelligence

DECEMBER 20, 2021

TIBCO DQ will become the new data quality product family, through an evolution of our current data quality offerings, significantly enhancing current capabilities available throughout the TIBCO data fabric with built-in AI and ML to automate quality, detection, monitoring, and anomaly resolution.

Innovation 26

Innovation Analytics Virtualization Cloud 26

Cloudera

OCTOBER 25, 2022

“They combine the best of both worlds: flexibility, cost effectiveness of data lakes and performance, and reliability of data warehouses.”. It allows users to rapidly ingest data and run self-service analytics and machine learning. There should be no ability of data lakehouse users to expose the environment to significant risk.

Cloud 52

Cloud Data Firewall AWS 52

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena.

Conference 8

Conference Data Data Engineering Artificial Inteligence 8

Altexsoft

OCTOBER 3, 2019

For instance, it reported that automobile companies were studying the patterns of unplanned absences to predict when employees are likely to take a day off. The platform provides “ business intelligence, planning, and predictive capabilities within one product” and uses AI and ML. So, data engineers make data pipelines work.

Analytics 16

Analytics Company Off-The-Shelf How To 16

Altexsoft

NOVEMBER 22, 2019

Housekeeping data. At the same time, a recent study encompassing 15 major hotel brands shows that just investing more in cleaning efforts isn’t enough to guarantee higher scores from your guests. 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

DECEMBER 9, 2020

Some studies show that about half of Americans make decisions based on their “gut-feeling”. 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. “War is 90 percent information.”. Napoleon Bonaparte.

Analytics 102

Analytics Technical Review Technology Applications 102

Agile Engine

DECEMBER 27, 2023

Big data consulting services 5. 4 types of data analysis 6. Data analytics use cases by industry 7. The data analytics process 8. What to look for when hiring a data analytics consultancy 10. Case study: leveraging AgileEngine as a data solutions vendor 11. Emerging trends 9. Conclusion 1.

Big Data 52

Big Data Analytics Data Analysis 52

Datavail

SEPTEMBER 8, 2022

According to an IDG survey , companies now use an average of more than 400 different data sources for their business intelligence and analytics processes. What’s more, 20 percent of these companies are using 1,000 or more sources, far too many to be properly managed by human data engineers.

Data 40

Data Nonprofit Quality Assurance Education 40