Snowflake

JANUARY 18, 2024

For example, if you have a large data processing task such as the analysis of production sensor data, customer surveys or inspection reports, you can increase your compute resources without having to increase your storage. In addition, they can add third-party data sets through Snowflake Marketplace to enrich insights.

Manufacturing 88

Manufacturing Unstructured Data Cloud Architecture 88

Knowledge Hut

JANUARY 19, 2024

However, having a lot of data is useless if businesses can't use it to make informed, data-driven decisions by analyzing it to extract useful insights. Business intelligence (BI) is becoming more important as a result of the growing need to use data to further organizational objectives.

Business Intelligence 52

Business Intelligence BI Business Analyst Finance 52

U-Next

MARCH 1, 2023

Being a hybrid role, Data Engineer requires technical as well as business skills. They build scalable data processing pipelines and provide analytical insights to business users. A Data Engineer also designs, builds, integrates, and manages large-scale data processing systems.

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

Knowledge Hut

JUNE 26, 2023

If you want to break into the field of data engineering but don't yet have any expertise in the field, compiling a portfolio of data engineering projects may help. Data pipeline best practices should be shown in these initiatives. However, the abundance of data opens numerous possibilities for research and analysis.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Knowledge Hut

DECEMBER 26, 2023

This big data book for beginners covers the creation of structured, unstructured, and semi-structured data, data storage solutions, traditional database solutions like SQL, data processing, data analytics, machine learning, and data mining.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75

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. Accessibility, in the context of volume, refers to the availability and ease of accessing the data.

Big Data 52

Big Data Media Datasets Unstructured Data 52

AltexSoft

MAY 12, 2023

Without a fixed schema, the data can vary in structure and organization. File systems, data lakes, and Big Data processing frameworks like Hadoop and Spark are often utilized for managing and analyzing unstructured data. The process requires extracting data from diverse sources, typically via APIs.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Knowledge Hut

APRIL 25, 2024

Only one in three data scientists claim to be specialist in geographical analysis, indicating that there are still very few spatial data scientists. Generally, five key steps comprise the standard workflow for spatial data scientists, which takes them from data collection to offering business insights after the process.

Data Science 52

Data Science Telecommunication Transportation Big Data 52

Knowledge Hut

JULY 3, 2023

Use Cases of Real-time Ingestion Real-time ingestion provides organizations with infrastructure for implementing various data capture, data processing and data analyzing tools. Here are some key uses of real-time data ingestion: 1. It can handle high volumes of data and supports data analytics in real time.

Data Ingestion 52

Data Ingestion Pipeline-centric Google Cloud Media 52

Knowledge Hut

FEBRUARY 28, 2024

What is Big Data? Big data refers to large amounts of data. It includes vast and complex structured, semi-structured, and unstructured data that cannot be processed using traditional data processing methods. Looking to dive into the world of data science ? It is like a mighty beast, after all.

Big Data 52

Big Data Cloud Storage Healthcare SQL 52

U-Next

SEPTEMBER 23, 2022

The fast development of digital technologies, IoT goods and connectivity platforms, social networking apps, video, audio, and geolocation services has created the potential for massive amounts of data to be collected/accumulated. Real-life Examples of Big Data In Action . It is not as simple as converting data into insights.

Big Data Ecosystem 40

Big Data Ecosystem Big Data Healthcare Data Lake 40

Knowledge Hut

JANUARY 11, 2024

evacuation before cyclone ''Fani'' Entertainment Industry: Netflix u ses data science to personalize the content and improve recommendations. Airbnb focuses on growth by analyzing customer voice using data science. Amazon uses data science to personalize shopping experiences and improve customer satisfaction.

Data Science 98

Data Science Transportation Hospitality Banking 98

AltexSoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

FEBRUARY 12, 2023

Data science is the study of data created by various human activities, such as business and research, to extract meaningful insights. It is not new to humans, but the modalities used for data collection and processing have become easier with innovative tools that handle a large amount of data.

Data Science 52

Data Science Computer Science Portfolio Certification 52

Knowledge Hut

DECEMBER 29, 2023

Learning Outcomes: You will understand the processes and technology necessary to operate large data warehouses. Engineering and problem-solving abilities based on Big Data solutions may also be taught. Additionally, you will learn how to design and manage data processing systems.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Knowledge Hut

DECEMBER 26, 2023

However, as we progressed, data became complicated, more unstructured, or, in most cases, semi-structured. This mainly happened because data that is collected in recent times is vast and the source of collection of such data is varied, for example, data collected from text files, financial documents, multimedia data, sensors, etc.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Knowledge Hut

JUNE 20, 2023

From blockchain-based database systems to real-time data processing with in-memory databases, these topics offer a glimpse into the exciting future of database research. A solution to this problem will make such data more available. It will then be easily retrievable and usable by a variety of data analytics tools.

Database 52

Database Java Education Data Collection 52

phData: Data Engineering

AUGUST 11, 2023

Data engineering in healthcare is taking a giant leap forward with rapid industrial development. However, data collection and analysis have been commonplace in the healthcare sector for ages. Data Engineering in day-to-day hospital administration can help with better decision-making and patient diagnosis/prognosis.

Healthcare 52

Healthcare Data Engineering Data Engineer Hospitality 52

ProjectPro

FEBRUARY 21, 2023

This section mainly focuses on the three most valuable and popular vendor-specific data engineering certifications- AWS, Azure , and GCP. AWS Certified Big Data - Specialty An excellent way to advance your career in data engineering is to earn the AWS Certified Big Data – Specialty certification.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

FEBRUARY 27, 2023

A data engineer is a key member of an enterprise data analytics team and is responsible for handling, leading, optimizing, evaluating, and monitoring the acquisition, storage, and distribution of data across the enterprise. Data Engineers indulge in the whole data process, from data management to analysis.

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

ProjectPro

JANUARY 31, 2023

In this blog, we'll dive into some of the most commonly asked big data interview questions and provide concise and informative answers to help you ace your next big data job interview. 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 AWS Relational Database 52

U-Next

JUNE 29, 2022

Data ingestion can be divided into two categories: . A batch is a method of gathering and delivering huge data groups at once. Conditions can trigger data collection, scheduled or done on the fly. A constant flow of data is referred to as streaming. For real-time data analytics, this is required.

Big Data 40

Big Data Big Data Ecosystem Data Lake Raw Data 40

U-Next

AUGUST 17, 2022

Data Engineers must be proficient in Python to create complicated, scalable algorithms. This language provides a solid basis for big data processing and is effective, flexible, and ideal for text analytics. Hadoop Apache Data Engineers utilize the open-source Hadoop platform to store and process enormous volumes of data.

Data Engineering 52

Data Engineering Data Engineer Pipeline-centric Database-centric 52

U-Next

AUGUST 11, 2022

Statistics and Probability: Study of predictions through sets of past data available. Data Evaluation and Modeling: Data analytics with the help of correlation, regression, and classification techniques for a better decision. Also, experience is required in software development, data processes, and cloud platforms.

Medical 52

Medical Computer Science Scala Machine Learning 52

Knowledge Hut

JUNE 28, 2023

In our data-driven world, our lives are governed by big data. The TV shows we watch, the social media we follow, the news we read, and even the optimized routes we take to work are all influenced by the power of big data analytics. Iterative Process: Both Data Mining and BI involve an iterative process.

Data Mining 52

Data Mining Business Intelligence BI Datasets 52

ProjectPro

DECEMBER 28, 2021

Allied Market Research estimated the global big data and business analytics market to be valued at $198.08 Managing, processing, and streamlining large datasets in real-time is a key functionality of big data analytics in an enterprise to enhance decision-making. billion by 2030.

Architecture 52

Architecture Kafka Java Scala 52

Knowledge Hut

DECEMBER 21, 2023

Overall, the paper offers a promising strategy for using blockchain technology to guarantee the availability and integrity of cloud data. The suggested mechanism may assist in addressing cloud computing's security issues and enhancing the dependability of cloud data processing and storage.

Cloud Computing 52

Cloud Computing Cloud Algorithm Healthcare 52

AltexSoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. Obviously, Big Data processing involves hundreds of computing units.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

U-Next

SEPTEMBER 9, 2022

The benefits of automation are numerous, especially in the competitive world of business analytics. This article outlines the true potential of automated Business Analytics and Data Analytics. . Will Business Analytics Be Automated? . Automated analytics, however, does not always produce positive results. .

Business Analyst 40

Business Analyst Raw Data Business Intelligence Cloud Computing 40

Databand.ai

JULY 10, 2023

Elasticsearch is a distributed search and analytics engine, Logstash is a data processing pipeline, and Kibana is a visualization and management interface. Together, they offer a powerful solution for collecting, processing, analyzing, and visualizing data from various sources.

Data Pipeline 52

Data Pipeline Algorithm Raw Data Aggregated Data 52

Ascend.io

MAY 31, 2023

In the data pipeline world, this step is called data ingestion, reflecting the perspective that it’s just the first step in a series of operations that constitute a network of data pipelines. Programmability In the context of data processing, programmability refers to the ability to customize and write complex operations.

Data Pipeline 52

Data Pipeline ETL Tools Pipeline-centric Data Warehouse 52

U-Next

SEPTEMBER 13, 2022

Data warehousing, data cleansing, architecture, and staging are used to store data after it has been gathered. . Data exploration, mining, and analysis are tasks carried out by data processing, which are utilized to produce a summary of the findings obtained from the data. .

Machine Learning 40

Machine Learning Data Science Deep Learning Algorithm 40

ProjectPro

OCTOBER 29, 2021

Real-world databases are often incredibly noisy, brimming with missing and inconsistent data and other issues that are often amplified by their enormous size and heterogeneous sources of origin caused by what seems to be an unending pursuit to amass more data.

Data Mining 52

Data Mining Datasets Machine Learning Metadata 52

Knowledge Hut

NOVEMBER 28, 2023

Data engineers design, manage, test, maintain, store, and work on the data infrastructure that allows easy access to structured and unstructured data. Data engineers need to work with large amounts of data and maintain the architectures used in various data science projects.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Knowledge Hut

DECEMBER 26, 2023

They collect and extract data from warehouses using querying techniques, analyze this data and create summary reports of the company's current standings. They suggest recommendations to management to increase the efficiency of the business and develop new analytical models to standardize data collection.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

ProjectPro

MAY 31, 2021

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications. How do you Create a Good Big Data Project?

Big Data 52

Big Data Coding Project Hadoop 52

Knowledge Hut

MAY 31, 2023

Average salary: USD 94,859/year Director of Analytics Director analytics is one of the top positions in business intelligence, where the individual is responsible for overseeing the entire organizational data analytics strategies while keeping track of team performance.

Business Intelligence 52

Business Intelligence BI Business Analyst Consulting 52