AltexSoft

MAY 14, 2021

Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. And that’s the most important thing: Big Data analytics helps companies deal with business problems that couldn’t be solved with the help of traditional approaches and tools.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Knowledge Hut

FEBRUARY 15, 2023

Not very surprisingly, the amount of data used and shared between networks is infinite. This has led to data analysis being a vital element of most businesses. Data analysts are professionals who manage and analyze data that give insight into business goals and help align them. What is Data Analysis?

Data Cleanse 52

Data Cleanse Entertainment Business Intelligence Recruitment 52

Knowledge Hut

DECEMBER 22, 2023

It was released as a standalone product in July 2015 after adding more features including enterprise-level data connectivity and security options, apart from its original Excel features like Power Query, Power Pivot, and Power View. Microsoft developed it and combines business analytics, data visualization, and best practices.

BI 98

BI Business Intelligence Machine Learning SQL 98

Databand.ai

JULY 19, 2023

A Beginner’s Guide [SQ] Niv Sluzki July 19, 2023 ELT is a data processing method that involves extracting data from its source, loading it into a database or data warehouse, and then later transforming it into a format that suits business needs. This transformation could involve cleaning, aggregating, or summarizing the data.

Data Cleanse 52

Data Cleanse Data Storage Raw Data Data Warehouse 52

Databand.ai

AUGUST 30, 2023

Data testing tools: Key capabilities you should know Helen Soloveichik August 30, 2023 Data testing tools are software applications designed to assist data engineers and other professionals in validating, analyzing and maintaining data quality. There are several types of data testing tools.

Data Cleanse 52

Data Cleanse Data Pipeline Datasets Data Validation 52

Edureka

AUGUST 2, 2023

In this digital transformation era, data is at the heart of decision-making. Data science has gained prominence, playing a crucial role in deriving insights from vast volumes of data. Aspiring data scientists must familiarize themselves with the best programming languages in their field.

Programming Language 52

Programming Language Programming Scala Pharmaceutical 52

Knowledge Hut

JANUARY 30, 2024

In today's world, where data rules the roost, data extraction is the key to unlocking its hidden treasures. As someone deeply immersed in the world of data science, I know that raw data is the lifeblood of innovation, decision-making, and business progress. What is data extraction?

ETL Tools 52

ETL Tools Database-centric Data Mining Raw Data 52

Knowledge Hut

JANUARY 25, 2024

In the world of data science, keeping our data clean is a bit like keeping our rooms tidy. Just as a messy room can make it hard to find things, messy data can make it tough to get valuable insights. That's why data cleaning techniques and best practices are super important. The future is all about big data.

Data Cleanse 52

Data Cleanse Datasets Data Preparation Data Science 52

Ascend.io

NOVEMBER 21, 2023

The emergence of cloud data warehouses, offering scalable and cost-effective data storage and processing capabilities, initiated a pivotal shift in data management methodologies. This article revisits the foundational elements of ELT, exploring what it is, how it reshaped data strategies, and how it works. What Is ELT?

Raw Data 52

Raw Data Data Warehouse Data Cleanse Data Integration 52

Knowledge Hut

APRIL 19, 2023

The process of gathering and compiling data from various sources is known as data Aggregation. Businesses and groups gather enormous amounts of data from a variety of sources, including social media, customer databases, transactional systems, and many more. Aggregation of data is useful in this situation.

Process 59

Process Data Mining Aggregated Data Portfolio 59

ProjectPro

DECEMBER 22, 2016

This list of data analyst interview questions is based on the responsibilities handled by data analysts.However, the questions in a data analytic job interview may vary based on the nature of work expected by an organization. We have collected a library of solved Data Science use-case code examples that you can find here.

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52

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. What is a data lake?

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Databand.ai

AUGUST 30, 2023

DataOps is a collaborative approach to data management that combines the agility of DevOps with the power of data analytics. It aims to streamline data ingestion, processing, and analytics by automating and integrating various data workflows. As a result, they can be slow, inefficient, and prone to errors.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Knowledge Hut

SEPTEMBER 26, 2023

The demand for data professionals with business intelligence skills has increased significantly in recent years. With technological advancements and digital transformations, businesses are taking data very seriously. In today's business environment, data is an invaluable asset.

BI 52

BI Business Intelligence Raw Data Data Analysis 52

U-Next

OCTOBER 27, 2022

You might be wondering, “ what is data cleaning?” ” It is an integral part of a process where the data needs to be cleaned before it can be used effectively by any organization or business. In recent times, the importance of data has increased exponentially. The amount of data generated each day is around 2.5

IT 40

IT Data Cleanse Datasets Bytes 40

ProjectPro

JANUARY 27, 2023

Whether you are a data engineer, BI engineer, data analyst, or an ETL developer, understanding various ETL use cases and applications can help you make the most of your data by unleashing the power and capabilities of ETL in your organization. You have probably heard the saying, "data is the new oil". Well, it surely is!

BI 52

BI ETL Tools Retail Healthcare 52

Knowledge Hut

SEPTEMBER 27, 2023

In an era dominated by data, organizations are in constant pursuit of tools that can transform raw information into actionable insights. As the business landscape becomes increasingly complex, the ability to efficiently visualize, analyze, and share data-driven insights is paramount.

BI 52

BI Business Intelligence Raw Data Data Cleanse 52

Knowledge Hut

OCTOBER 30, 2023

For any organization to grow, it requires business intelligence reports and data to offer insights to aid in decision-making. This data and reports are generated and developed by Power BI developers. The work of a Power BI developer is to take data in its raw form, derive meaning, and make sense of it.

BI 52

BI Business Intelligence Data Cleanse Business Analyst 52

U-Next

OCTOBER 25, 2022

In today’s business world, data is changing how companies operate. Data plays a crucial role in everything from day-to-day operations to highly important and sensitive business decisions. Data transformation makes all of this possible, especially when dealing with large amounts of data from different sources.

Business Intelligence 40

Business Intelligence Raw Data Data Cleanse Data 40

RandomTrees

NOVEMBER 29, 2023

Here the practice of data warehousing and warehouse system is very important and the use of right modelling techniques has become a very important factor in todays’ competitive world. In this choice, Big Data will play an important role and its choice is also inevitably crucial in the Business Intelligence and related systems.

Data Warehouse 52

Data Warehouse Data Lake Database-centric Data Cleanse 52

Knowledge Hut

APRIL 23, 2024

Big data has become the ultimate game-changer for organizations in today's data-driven environment. Organizations are utilizing the enormous potential of big data to help them succeed, from consumer insights that enable personalized experiences to operational efficiency that simplifies procedures. Have you ever wondered how?

Big Data 52

Big Data Recruitment Retail Transportation 52

AltexSoft

DECEMBER 23, 2022

Whether your goal is data analytics or machine learning , success relies on what data pipelines you build and how you do it. But even for experienced data engineers, designing a new data pipeline is a unique journey each time. Data engineering in 14 minutes. ELT vs ETL. Order of process phases. Scalability.

Process 52

Process Building Raw Data Data Lake 52

Knowledge Hut

NOVEMBER 28, 2023

The contemporary world experiences a huge growth in cloud implementations, consequently leading to a rise in demand for data engineers and IT professionals who are well-equipped with a wide range of application and process expertise. Data Engineer certification will aid in scaling up you knowledge and learning of data engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Databand.ai

AUGUST 30, 2023

Unified DataOps represents a fresh approach to managing and synchronizing data operations across several domains, including data engineering, data science, DevOps, and analytics. The goal of this strategy is to streamline the entire process of extracting insights from raw data by removing silos between teams and technologies.

Data Governance 40

Data Governance Data Cleanse Government Data Science 40

U-Next

SEPTEMBER 9, 2022

One of the most popular and rapidly expanding tech career paths is Data Science. Making judgments and predictions via Machine Learning, prescriptive analytics, and predictive causal analysis is the major application of Data Science. What is Data Science? . Requirement for Data Science . billion, up from USD 95.3.9

Data Science 40

Data Science Computer Science Machine Learning Hadoop 40

Edureka

JULY 5, 2024

Proper data pre-processing and data cleaning in data analysis constitute the starting point and foundation for effective decision-making, though it can be the most tiresome phase. simultaneously making raw data efficient to form insights. What is Tableau Prep ?

Data Preparation 40

Data Preparation Process BI ETL Tools 40

Edureka

APRIL 17, 2023

Data analytics is the process of analyzing, interpreting, and presenting data in a meaningful way. In today’s data-driven world, data analytics plays a critical role in helping businesses make informed decisions. This article will discuss nine data analytics project ideas for your portfolio.

Portfolio 40

Portfolio Data Analytics Project Data Mining 40

ProjectPro

AUGUST 24, 2021

Most of us have observed that data scientist is usually labeled the hottest job of the 21st century, but is it the only most desirable job? For beginners or peeps who are utterly new to the data industry, Data Scientist is likely to be the first job title they come across, and the perks of being one usually make them go crazy.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Knowledge Hut

OCTOBER 13, 2023

” Reports and dashboards are the two vital components of the Power BI platform, which are used to analyze and visualize data. Maintain Clean Reports Power BI report is a detailed summary of the large data set as per the criteria given by the user. They comprise tables, data sets, and data fields in detail, i.e., raw data.

BI 52

BI Business Analyst Datasets Raw Data 52

ProjectPro

JANUARY 31, 2023

If you're looking to break into the exciting field of big data or advance your big data career, being well-prepared for big data interview questions is essential. Get ready to expand your knowledge and take your big data career to the next level! “Data analytics is the future, and the future is NOW!

Big Data 52

Big Data Hadoop Relational Database AWS 52

Rockset

SEPTEMBER 6, 2019

I could be describing either the VR space or Data Engineering, but in fact this post is about the intersection of both. Virtual Reality – The Next Frontier in Media I work as a Data Engineer at a leading company in the VR space, with a mission to capture and transmit reality in perfect fidelity.

Metadata 40

Metadata Kafka Data Cleanse SQL 40

Knowledge Hut

NOVEMBER 27, 2023

Transitioning to a career in data science has become increasingly attractive in recent years. The demand for qualified data professionals continues to rise as companies recognize the value of data-driven decision-making. To successfully transition, it is crucial to select a data science role and assess your current skills.

Data Science 52

Data Science Datasets Machine Learning Algorithm 52

Edureka

MAY 28, 2025

Medallion architecture as a data design pattern A medallion architecture is a way to organize data in a way that makes sense. With each layer of the architecture (from Bronze to Silver to Gold layer tables), the goal is to improve the organization and quality of the data in small steps.

Architecture 40

Architecture Raw Data Business Intelligence Data Cleanse 40