Knowledge Hut

APRIL 25, 2024

Big data can be summed up as a sizable data collection comprising a variety of informational sets. It is a vast and intricate data set. Big data has been a concept for some time, but it has only just begun to change the corporate sector. What is Big Data? What are the Benefits of Big Data?

Big Data 97

Big Data Entertainment Transportation Banking 97

Knowledge Hut

APRIL 23, 2024

Big data has revolutionized the world of data science altogether. With the help of big data analytics, we can gain insights from large datasets and reveal previously concealed patterns, trends, and correlations. What is Big Data? What are the 4 V’s of Big Data?

Big Data 52

Big Data Media Datasets Unstructured Data 52

Knowledge Hut

JUNE 16, 2023

In today's data-driven world, organizations are trying to find valuable insights from the vast sets of data available to them. That is where Data analytics comes into the picture - guiding organizations to make smarter decisions by utilizing statistical and computational methods. What is Data Analytics?

Programming Language 52

Programming Language Cloud Computing Data Preparation Data Science 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

U-Next

MARCH 1, 2023

Introduction Data Engineer is responsible for managing the flow of data to be used to make better business decisions. A solid understanding of relational databases and SQL language is a must-have skill, as an ability to manipulate large amounts of data effectively. In 2022, data engineering will hold a share of 29.8%

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

Knowledge Hut

NOVEMBER 28, 2023

As today's world is inclining toward digital space, data is generated each second. This is good news for companies and business entities as this data will be extremely useful in decision-making and improving customer satisfaction. As they say, data is the new wave of the 21st century. Who is a Data Architect?

Data Architect 52

Data Architect Data Science Certification Big Data 52

Towards Data Science

JUNE 8, 2023

We examine which team structures are the best suited for efficiently improving data quality. Sure, data quality is everyones’ problem. Some organizations will attempt to diffuse the responsibility widely across data stewards, data owners, data engineering and governance committees, each owning a fraction of the data value chain.

Data Governance 73

Data Governance Government Generalist Data Engineering 73

Cloudera

JUNE 7, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 112

IT Unstructured Data Data Architecture Government 112

Knowledge Hut

NOVEMBER 28, 2023

Data Science is a field where job offers have grown exponentially in the last few years alone. People use programming mathematics, statistics, and other domain knowledge in data science to extract important insights from big data. You can check out a Data Science Bootcamp to learn more about the field.

Data Science 52

Data Science Telecommunication Recruitment Finance 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 Data Cleanse 52

Towards Data Science

JANUARY 17, 2024

Parquet vs ORC vs Avro vs Delta Lake Photo by Viktor Talashuk on Unsplash The big data world is full of various storage systems, heavily influenced by different file formats. These are key in nearly all data pipelines, allowing for efficient data storage and easier querying and information extraction. So let’s get started!

Big Data 67

Big Data Data Data Storage SQL 67

Knowledge Hut

FEBRUARY 16, 2023

Demand for data engineers is at a peak today globally due to the massive amount of data that companies accumulate and work with this data to draw actionable insights and make better business decisions. To do that, the generated data must be interpreted to be understood by the end user. What Does a Data Engineer Do?

Data Engineering 52

Data Engineering Data Engineer Engineering Healthcare 52

ProjectPro

SEPTEMBER 26, 2021

Big Data Engineer is one of the most popular job profiles in the data industry. This blog on Big Data Engineer salary gives you a clear picture of the salary range according to skills, countries, industries, job titles, etc. Big Data gets over 1.2 What does a big data engineer do? Is it actually worth pursuing?

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

FEBRUARY 16, 2023

The demand for skilled data engineers who can build, maintain, and optimize large data infrastructures does not seem to slow down any sooner. At the heart of these data engineering skills lies SQL that helps data engineers manage and manipulate large amounts of data. of data engineer job postings on Indeed?

Data Engineering 52

Data Engineering Data Engineer SQL Engineering 52

Knowledge Hut

APRIL 25, 2023

The tremendous growth in data generation, then the rise in data engineer jobs - there’s no arguing the fact that the big data industry is at its best pace and you, as an aspiring data engineer, have a lot to learn and make out of it - including some tools! While they go about it - enter big data data engineer tools.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Silectis

JANUARY 3, 2021

If you’re new to data engineering or are a practitioner of a related field, such as data science, or business intelligence, we thought it might be helpful to have a handy list of commonly used terms available for you to get up to speed. Big Data Large volumes of structured or unstructured data.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Monte Carlo

AUGUST 31, 2023

Data is a priority for your CEO, as it often is for digital-first companies, and she is fluent in the latest and greatest business intelligence tools. But what happens when the data is wrong? What about a frantic email from your CTO about “duplicate data” in a business intelligence dashboard? The root of data downtime?

Data Lake 52

Data Lake Data Pipeline Unstructured Data Data Warehouse 52

ProjectPro

FEBRUARY 16, 2023

ETL is a critical component of success for most data engineering teams, and with teams harnessing it with the power of AWS, the stakes are higher than ever. Data Engineers and Data Scientists require efficient methods for managing large databases, which is why centralized data warehouses are in high demand.

AWS 52

AWS Data Management ETL Tools Management 52

ProjectPro

DECEMBER 7, 2021

Data pipelines are a significant part of the big data domain, and every professional working or willing to work in this field must have extensive knowledge of them. As data is expanding exponentially, organizations struggle to harness digital information's power for different business use cases. What is a Big Data Pipeline?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Knowledge Hut

OCTOBER 5, 2023

When it comes to cloud computing and big data, Amazon Web Services (AWS) has emerged as a leading name. As businesses’ reliance on cloud and big data increases, so does the demand for professionals who have the necessary skills and knowledge in AWS. Who is AWS Big Data Specialist?

Big Data 52

Big Data AWS Certification Amazon Web Services 52

Knowledge Hut

DECEMBER 21, 2023

In the present-day world, almost all industries are generating humongous amounts of data, which are highly crucial for the future decisions that an organization has to make. This massive amount of data is referred to as “big data,” which comprises large amounts of data, including structured and unstructured data that has to be processed.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

Monte Carlo

SEPTEMBER 6, 2022

Our biggest priority at Monte Carlo is to make the lives of our customers easier by reducing data downtime and helping them accelerate the adoption of reliable data at their companies. 75% of respondents reporting that it takes four or more hours to detect a data quality incident.

Data Lake 52

Data Lake Machine Learning Data Science Data 52

Knowledge Hut

MARCH 27, 2024

Data tracking is becoming more and more important as technology evolves. A global data explosion is generating almost 2.5 quintillion bytes of data today, and unless that data is organized properly, it is useless. What Is Big Data Analytics? Some important big data processing platforms are: Microsoft Azure.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

AltexSoft

MARCH 28, 2022

The data clearly shows the stable, worldwide increase in demand for alternative accommodations, from apartments to farm stays to igloos. The data also indicates that more and more companies in the sector tie their bright future with… data. And 58 percent are planning to use even more data or spend more on data products.

Hospitality 52

Hospitality Business Intelligence Datasets Machine Learning 52

ProjectPro

FEBRUARY 16, 2023

Business Intelligence and Artificial Intelligence are popular technologies that help organizations turn raw data into actionable insights. While both BI and AI provide data-driven insights, they differ in how they help businesses gain a competitive edge in the data-driven marketplace. It is widely used in robotics and games.

Business Intelligence 52

Business Intelligence BI Data Mining Raw Data 52

Knowledge Hut

MAY 31, 2023

Business Intelligence is closely knitted to the field of data science since it leverages information acquired through large data sets to deliver insightful reports. Companies utilize different approaches to deal with data in order to extract information from structured, semi-structured, or unstructured data sets.

Business Intelligence 52

Business Intelligence BI Business Analyst Consulting 52

Monte Carlo

MARCH 14, 2023

As part of my job, I’m fortunate enough to speak with data leaders far and wide about how they are tackling some of our industry’s biggest challenges, from implementing data mesh to scaling self-service analytics. The data team even has a mission statement: to deliver dependable data and algorithms to the company.

Transportation 40

Transportation Government Google Cloud Architecture 40

ProjectPro

JANUARY 24, 2023

With over 20 pre-built connectors and 40 pre-built transformers, AWS Glue is an extract, transform, and load (ETL) service that is fully managed and allows users to easily process and import their data for analytics. You can leverage AWS Glue to discover, transform, and prepare your data for analytics.

AWS 52

AWS Data Lake ETL Tools Scala 52

Zalando Engineering

FEBRUARY 28, 2018

Apache’s lightning fast engine for data analysis and machine learning In recent years, there has been a massive shift in the industry towards data-oriented decision making backed by enormously large data sets. Problem As data is rapidly growing, we need a tool which can clean and train the data fast enough.

Data Analysis 40

Data Analysis Hadoop Datasets SQL 40

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

ProjectPro

NOVEMBER 17, 2021

Sentiment analysis is used to analyze raw text to drive objective quantitative results using natural language processing, machine learning, and other data analytics techniques. Sentiment analysis helps businesses process vast amounts of data efficiently. What is Sentiment Analysis? in any language.

Coding 52

Coding Project Entertainment Datasets 52

Knowledge Hut

DECEMBER 26, 2023

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. What is Data Science? What are the roles and responsibilities of a Data Engineer? What is the need for Data Science?

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

AltexSoft

OCTOBER 25, 2021

This allows machines to extract value even from unstructured data. Healthcare organizations generate a lot of text data. Some of it is structured , or organized into specific fields of an EHR. Unstructured data is unavoidable, yet extremely valuable. Unstructured data is unavoidable, yet extremely valuable.

Medical 52

Medical Healthcare Process Hospitality 52

U-Next

AUGUST 8, 2022

Tech jargon on one side, the most famous question of India’s tech world is “Does Data Science require coding” and here’s your much-awaited answer. Introduction to Does Data Science Require Coding? The world demand for Data Science professions is rapidly expanding. What exactly does Data Science consist of?

Data Science 40

Data Science Coding Programming Language Scala 40

Knowledge Hut

JANUARY 18, 2024

I’ve often noticed that people use terms like Data Science and Artificial Intelligence ( AI ) interchangeably. The key connection between Data Science and AI is data. Understanding  Data Science course eligibility  can help you understand more about Data Science. What is Data Science?

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

Knowledge Hut

JANUARY 18, 2024

Data science insights allow enterprises to succeed, make better decisions, and increase customer satisfaction. Insights in data science are the deep understanding acquired by an individual or organization as a result of examining information on a particular subject. What are Analytics?

Data Science 52

Data Science Media Food Data 52

Knowledge Hut

SEPTEMBER 26, 2023

Organisations are constantly looking for robust and effective platforms to manage and derive value from their data in the constantly changing landscape of data analytics and processing. These platforms provide strong capabilities for data processing, storage, and analytics, enabling companies to fully use their data assets.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52