Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. 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.

Architecture 52

Architecture Data Storage Artificial Inteligence 52

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

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. More formats, more engines, more interoperability.

Data 96

Data Analytics Open Source Architecture 96

Altexsoft

OCTOBER 30, 2021

If you’re an executive who has a hard time understanding the underlying processes of data science and get confused with terminology, keep reading. We will try to answer your questions and explain how two critical data jobs are different and where they overlap. Data science vs data engineering.

Data Engineering 98

Data Engineering Engineering Data Artificial Inteligence 98

Cloudera

AUGUST 31, 2021

While this “data tsunami” may pose a new set of challenges, it also opens up opportunities for a wide variety of high value business intelligence (BI) and other analytics use cases that most companies are eager to deploy. . Business Problem & Background. Copyright © 2021 Accenture. All rights reserved.

Data 85

Data Analytics Cloud Technical Review 85

Altexsoft

APRIL 22, 2020

So, along with data scientists who create algorithms, there are data engineers, the architects of data platforms. In this article we’ll explain what a data engineer is, the field of their responsibilities, skill sets, and general role description. What is a data engineer?

Data Engineering 69

Data Engineering Engineering Artificial Inteligence Data 69

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. Users can easily create a wide range of data-intensive, yet intelligible reports and dashboards and share obtained insights. What is Power used for?

Weak Development Team 52

Weak Development Team Data Azure Analytics 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

SEPTEMBER 9, 2022

Metadata management is a set of activities, technologies, and policies that target metadata collection, storage, and organizing. It aims at making data assets understandable and discoverable for users. Metadata storage usually implies developing a specialized repository. Metadata storage. What is metadata management?

Tools 59

Tools Technical Review Software Review Systems Review 59

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. What is personalized insurance, and why is it important? Use of AI and chatbots to personalize communications.

Insurance 88

Insurance Artificial Inteligence Machine Learning Policies 88

Altexsoft

APRIL 13, 2023

The annual IHS Markit Supply Chain Survey Report found that 63 percent of companies don’t have sufficient technology to approach their top priority optimization strategy, i.e., spend analytics (the situation within other strategic areas is similar). increase customer satisfaction by giving real-time status updates; and so on.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Kentik

MAY 23, 2017

The web-scale companies that successfully pioneered big data approaches reaped institutional rewards when they used the resulting data to improve operations and planning. Note that the above use cases cover network performance monitoring, planning, and business intelligence. Need Answered: Kentik Detect.

Network 40

Network Open Source Big Data Load Balancer 40

Strategy Driven

AUGUST 27, 2015

The Internet and cloud computing have revolutionized the nature of data capture and storage, tempting many companies to adopt a new 'Big Data' philosophy: collect all the data you can; all the time. Big Data is Not Just More Data : That’s because the nature of the data we can now collect has changed.

Big Data 33

Big Data Data Storage Journal 33

Altexsoft

MARCH 31, 2020

It means you must collect transactional data and move it from the database that supports transactions to another system that can handle large volumes of data. And, as is common, to transform it before loading to another storage system. But how do you move data? The simplest illustration for a data pipeline.

Data 76

Data Storage Analytics Data Center 76

Mobilunity

NOVEMBER 24, 2021

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. In this article, we’ll discuss the role of an ETL engineer in data processing and why businesses need such experts nowadays.

Development 52

Development Storage Recruiting Architecture 52

Datavail

MARCH 10, 2022

According to Gartner, only 20 percent of analytics insights will deliver business results through 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.

Government 40

Government Strategy Weak Development Team Company 40

Altexsoft

NOVEMBER 28, 2019

Marketing numbers, human resources, company budgeting, sales volumes — you name it. The number of business domains the data comes from can be large. But, as a business, you might be interested in extracting value of this information instead of just collecting it. Who is a business intelligence developer?

Business Intelligence 22

Business Intelligence Technical Review Development Storage 22

Altexsoft

MARCH 18, 2021

OLAP tools and structured query language (SQL) queries need data sets to be structured and standardized through a series of transformations that happen before data gets into a warehouse. The approach originated in the 1970s when companies started using multiple data repositories for work with different types of business information.

Systems Review 109

Systems Review Technical Review Software Review Compliance 109

Altexsoft

JANUARY 14, 2021

Snowflake, Redshift, BigQuery, and Others: Cloud Data Warehouse Tools Compared. From simple mechanisms for holding data like punch cards and paper tapes to real-time data processing systems like Hadoop, data storage systems have come a long way to become what they are now. What is a data warehouse?

Backup 115

Backup Azure Software Review Systems Review 115

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 ). But the current data lakehouse architectural pattern is not enough.

Data 91

Data Analytics Artificial Inteligence Machine Learning 91

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. Machine learning.

Weak Development Team 52

Weak Development Team Big Data Data Artificial Inteligence 52

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. Treat data as code.

Analytics 75

Analytics DevOps Development Software Review 75

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. Data warehousing in a nutshell. Each node has its own disk storage. What is Snowflake?

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Altexsoft

JUNE 26, 2023

All successful companies do it: constantly collect data. 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.

Artificial Inteligence 52

Artificial Inteligence Machine Learning Data Systems Review 52

Altexsoft

JULY 29, 2022

Apache Hadoop is an open-source Java-based framework that relies on parallel processing and distributed storage for analyzing massive datasets. 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. What is Hadoop? Apache Hadoop architecture.

Big Data 59

Big Data Data Google Cloud Storage 59

Altexsoft

JULY 19, 2022

In the data mesh ecosystem, this will be a separate HR domain that owns its data, which is a product of the company. This is a huge change of thinking as most human resources departments neither view themselves as a product team nor as owners of datasets that they need to provide for the rest of the company.

Architecture 52

Architecture Data Analytics Data Engineering 52

Altexsoft

NOVEMBER 10, 2021

A data lakehouse , as the name suggests, is a new data architecture that merges data warehouse and data lake into a single whole, aiming at addressing each one’s limitations. In a nutshell, the lakehouse system leverages low-cost storage to keep large volumes of data in its raw formats just like data lakes.

Architecture 52

Architecture Data Storage Artificial Inteligence 52

ParkMyCloud

MAY 29, 2019

As more and more enterprises drive value from container platforms, infrastructure-as-code solutions, software-defined networking, storage, continuous integration/delivery, and AI, they need people and skills on board with ever more niche expertise and deep technological understanding. Business Intelligence Analyst. IoT Engineer.

Trends 72

Trends Cloud IoT Artificial Inteligence 72

Altexsoft

OCTOBER 3, 2019

The day may come when a seasoned professional tells you or your colleague about their plan to leave the company in a month. Amid an intense war for top talent, companies must differentiate themselves in a global marketplace to be able to attract and retain people that deliver the most value: “ As the market for high?performing

Analytics 16

Analytics Company Off-The-Shelf How To 16

Altexsoft

SEPTEMBER 10, 2021

Yet, dealing with continuously growing volumes of data isn’t the only challenge businesses encounter on the way to better, faster decision-making. Information often resides across countless distributed data sources, resulting in data silos. data warehouse ) to achieve a unified view of collected data.

Tools 52

Tools Data Software Review Technical Review 52

Altexsoft

OCTOBER 2, 2020

Data is a valuable source that needs management. 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.

Database Administration 64

Database Administration Strategy Data Technical Review 64

Altexsoft

AUGUST 4, 2021

Now let’s think of sweets as the data required for your company’s daily operations. 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.

Data 64

Data Analytics Construction Cloud 64

Cloudera

NOVEMBER 2, 2020

The factors driving this trend are part technical, part business, and part cultural. On the technical side, it is cheaper and easier than ever to instrument everything and send that data in real-time through a messaging system. An AdTech company in the US provides processing, payment, and analytics services for digital advertisers.

Data 99

Data Analytics Storage Big Data 99

Altexsoft

MAY 14, 2021

Not only does Big Data apply to the huge volumes of continuously growing data that come in different formats, but it also refers to the range of processes, tools, and approaches used to gain insights from that data. This post will draw a full picture of what Big Data analytics is and how it works. Data ingestion.

Big Data 78

Big Data Analytics Tools Applications 78

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? Bar chart.

Business Intelligence 18

Business Intelligence Tools Data Analytics 18

Altexsoft

NOVEMBER 9, 2021

In business, shopping — or procurement — isn’t that pleasing. For most companies, it’s actually more of a tangled mix of stress, risks, and unfulfilled hopes that nothing will go wrong. So, knowing your future demand level, you’ll be able to secure the best deal for your company. Tax compliance evaluation.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

Altexsoft

OCTOBER 24, 2019

Our brains store trillions of bits of data about past events and leverage those memories each time we face the need to make a decision. Similar to humans companies generate and collect tons of data about the past. And this data can be used to support decision making. Reflects the source data. Subject-oriented data.

Architecture 50

Architecture Enterprise Data Technical Review 50