Hacker Earth Developers Blog

JUNE 26, 2019

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 science is an interdisciplinary field that uses a blend of data inference and algorithm development to solve complex analytical problems.

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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 ETL Developer: Role Description, Process Breakdown, Responsibilities, and Skills.

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Altexsoft

JUNE 14, 2021

So, clients can choose the specific products they want and group them in a bundle. Insurers use data collected from smart devices to notify customers about harmful activities and lifestyles. Customers are grouped according to their risk behaviors. You’ll need a data engineering team for that.

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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.

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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. Microsoft Power BI is an interactive data visualization software suite developed by Microsoft that helps businesses aggregate, organize, and analyze data.

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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. Metadata storage usually implies developing a specialized repository.

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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. The role of business intelligence developer.

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Altexsoft

NOVEMBER 28, 2019

Business intelligence (BI) is a set of technologies and practices to transform business information into actionable reports and visualizations. Established in the early 80s and developed over time as a separate industry, BI gave birth to the numerous roles and professions. Who is a business intelligence developer?

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CIO

AUGUST 5, 2022

Explanation: Explanation visualizations tell a story to an audience using data. The Data Visualisation Catalogue , a project developed by freelance designer Severino Ribecca, is a library of different information visualization types. Hierarchical: These visualizations show how groups relate to one another.

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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.

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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.

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Altexsoft

MARCH 31, 2020

When it comes to building and managing infrastructure for data movement and its strategic usage, that’s the duty of data engineers. Data pipeline components. To understand how the data pipeline works in general, let’s see what a pipeline usually consists of. Data pipeline components. Traditional analytics.

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Altexsoft

JULY 19, 2022

This basic principle corresponds to that of agile software development or approaches such as DevOps, Domain-Driven Design, and Microservices: DevOps (development and operations) is a practice that aims at merging development, quality assurance, and operations (deployment and integration) into a single, continuous set of processes.

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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.

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Cloudera

JANUARY 3, 2018

A traditional BI and analytics organization consists of three main groups: Analysts that develop reports often using sample data. The data management team – modelers that take requests, find data, and develop models to answer the questions. You can think of them as the data workhorse.

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Altexsoft

NOVEMBER 9, 2021

KPIs are quantitative values that are used to measure success of a specific activity or to evaluate progress towards a business objective. In procurement, there are several main groups of KPIs that are worth monitoring to get a better understanding of the effectiveness of your operations. Operational KPIs. Cost management KPIs.

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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.

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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.

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Altexsoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. A publisher (say, telematics or Internet of Medical Things system) produces data units, also called events or messages , and directs them not to consumers but to a middleware platform — a broker.

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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.

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Abhishek Tiwari

JULY 20, 2019

ERP engineering squad - supply chain planning, purchase order management, product lifecycle management, merchandise planning, etc. Back-office engineering squad - customer support, business intelligence, real-estate management, systems for finance & HR, etc. They exist to get a product or large feature shipped.

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Altexsoft

AUGUST 4, 2021

This article is going to provide an exhaustive explanation of what data marts are and how they store data for Business Intelligence purposes. You’ll also find out about the key types of data marts, their structure schemas, implementation steps, and more. What is a data mart? Data mart use cases.

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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. What is Snowflake?

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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. Devices : Select all routers.

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Altexsoft

SEPTEMBER 10, 2021

So, why does anyone need to integrate data in the first place? Today, companies want their business decisions to be driven by data. But here’s the thing — information required for business intelligence (BI) and analytics processes often lives in a breadth of databases and applications. Middleware data integration.

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Tools Data Software Review Technical Review 52

Altexsoft

JANUARY 14, 2021

It is usually created and used primarily for data reporting and analysis purposes. Thanks to the capability of data warehouses to get all data in one place, they serve as a valuable business intelligence (BI) tool, helping companies gain business insights and map out future strategies.

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Datavail

MARCH 10, 2022

Ideally, a solid data governance program should include the data governance team, data stewards, and the governing body, often a steering committee (data governance council) comprising top organizational stakeholders. What is Data Governance? There are many complex definitions for data governance.

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Altexsoft

OCTOBER 3, 2019

Yuliia Melkova, the HR director at AltexSoft notes: “The main goal of working with people is creating an atmosphere in which employees feel that their daily work is meaningful for a company, in which they want to grow and develop, and have opportunities for this. Generally, no development is required.

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TechCrunch

SEPTEMBER 15, 2021

Enter a startup called Matillion, which has built a platform to help companies harness their data so that it can be used, and what’s more, the platform is not just for data scientists, but it’s written with a “low-code” approach that can be used by a wider group of users.

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Altexsoft

DECEMBER 9, 2020

So, the path that companies cover in their analytical development can be broken down into 5 stages: No analytics refers to companies with no analytical processes whatsoever. Descriptive analytics lets us know what happened , gathering, and visualizing historical data. Introducing data engineering and data science expertise.

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Apiumhub

APRIL 8, 2021

He also writes compelling articles about Big Data and related topics for publications such as Data Science Central, DataFloq and Dataconomy. He is an advisory board member for the Big Data training category at Simplilearn and an online education provider. Kirk Borne is a Principal Data Scientist at Booz Allen Hamilton.

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Altexsoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

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Altexsoft

MARCH 14, 2023

In recent years, cloud-based data warehouses have revolutionized data processing with their advanced massively parallel processing (MPP) capabilities and SQL support. This development has paved the way for a suite of cloud-native data tools that are user-friendly, scalable, and affordable. Data democratization.

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