Knowledge Hut

JANUARY 30, 2024

This data can be structured, semi-structured, or entirely unstructured, making it a versatile tool for collecting information from various origins. The extracted data is then duplicated or transferred to a designated destination, often a data warehouse optimized for Online Analytical Processing (OLAP).

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Knowledge Hut

DECEMBER 26, 2023

Big Data is an immense amount of data that is constantly growing exponentially. Due to its vastness and complexity, no traditional data management system can adequately store or process this data. The New York Stock Exchange, which generates one terabyte of new trade data each day, is a classic example of big data.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75

phData: Data Engineering

SEPTEMBER 19, 2023

With many data modeling methodologies and processes available, choosing the right approach can be daunting. This blog will guide you through the best data modeling methodologies and processes for your data lake, helping you make informed decisions and optimize your data management practices. What is a Data Lake?

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Knowledge Hut

DECEMBER 26, 2023

Let us first get a clear understanding of why Data Science is important. What is the need for Data Science? If we look at history, the data that was generated earlier was primarily structured and small in its outlook. A simple usage of Business Intelligence (BI) would be enough to analyze such datasets.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Knowledge Hut

SEPTEMBER 26, 2023

These platforms provide strong capabilities for data processing, storage, and analytics, enabling companies to fully use their data assets. Microsoft Azure's Azure Synapse, formerly known as Azure SQL Data Warehouse, is a complete analytics offering. What is Azure Synapse?

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

Edureka

AUGUST 2, 2023

It provides a comprehensive set of tools and libraries for data manipulation, analysis, and visualization. R is particularly useful in data science due to its extensive collection of packages and functions designed for statistical modeling, machine learning, and data visualization.

Programming Language 52

Programming Language Programming Scala Pharmaceutical 52

Monte Carlo

AUGUST 25, 2023

Typically, data warehouses work best with structured data defined by specific schemas that organize your data into neat, well-labeled boxes. This same structure aids in maintaining data quality and simplifies how users interact with and understand the data. Or maybe both.)

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

Knowledge Hut

JANUARY 19, 2024

By delving into the realm of data science, you're not just learning skills; you're gaining a passport to a world of opportunities. From honing your statistical prowess to mastering programming and algorithms, our program is meticulously designed to empower you with the arsenal needed to excel in this field.

Data Science 52

Data Science Machine Learning Datasets Algorithm 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

Knowledge Hut

APRIL 25, 2024

Starting from communications to data management, information technology plays a vital role in driving productivity to its peak. Considering today's translation media, data plays a significant role to be converted into a binary digital form. Data can be accepted as both singulars as well as plural subjects.

Technology 52

Technology Recruitment Media Cloud Computing 52

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. What about a frantic email from your CTO about “duplicate data” in a business intelligence dashboard? What is a decentralized data architecture?

Data Lake 52

Data Lake Data Pipeline Unstructured Data Data Warehouse 52

Knowledge Hut

DECEMBER 29, 2023

The highlight feature of this platform is its potential to integrate semi-structured and structured data without using any third-party tools. Snowflake also has an automatic query optimization system, so you wouldn’t have to worry about managing its settings. Through this, it changes the stored data in real-time.

Data Engineering 40

Data Engineering Data Engineer Engineering BI 40

ProjectPro

JANUARY 31, 2022

This is the reason why we need Data Warehouses. What is Snowflake Data Warehouse? A Data Warehouse is a central information repository that enables Data Analytics and Business Intelligence (BI) activities. Snowflake is a data warehousing platform that runs on the cloud.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

AltexSoft

MARCH 28, 2022

The data also indicates that more and more companies in the sector tie their bright future with… data. According to the Global Vacation Rental Report 2022 , 40 percent of property managers rely on market business intelligence (BI) or analytics services, a big leap compared to just 13 percent before the COVID-19 outbreak.

Hospitality 52

Hospitality Business Intelligence Datasets Machine Learning 52

ProjectPro

DECEMBER 6, 2016

Hadoop was designed to be the next big thing moving into enterprises recently, but very soon it has reached to “peak Hadoop” Hadoop has been killed by cloud in the enterprise IT or rather we can say that Hadoop has been moving so fast that it killed itself. Azure can process structured and structured data with no limits.

Hadoop 52

Hadoop Data Lake BI Big Data 52

ProjectPro

DECEMBER 7, 2021

In broader terms, two types of data -- structured and unstructured data -- flow through a data pipeline. The structured data comprises data that can be saved and retrieved in a fixed format, like email addresses, locations, or phone numbers. What is a Big Data Pipeline?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

ProjectPro

SEPTEMBER 26, 2021

Big Data Engineer Salary by Experience (Entry-Level, Mid-Level, and Senior) Entry-Level Big Data Engineer Salary An entry-level position does not demand years of experience in Big Data technology. However, one should have an educational background and theoretical knowledge in data management.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

JANUARY 31, 2023

Define Big Data and Explain the Seven Vs of Big Data. Big Data is a collection of large and complex semi-structured and unstructured data sets that have the potential to deliver actionable insights using traditional data management tools. RDBMS stores structured data.

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

JULY 27, 2021

Differentiate between relational and non-relational database management systems. Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language). There are fewer foreign keys.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

U-Next

SEPTEMBER 7, 2022

Structuring data refers to converting unstructured data into tables and defining data types and relationships based on a schema. Built to make strategic use of data, a Data Warehouse is a combination of technologies and components. In other words, it is the process of converting data into information. .

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

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. While all three are about data acquisition, they have distinct differences.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

AltexSoft

NOVEMBER 10, 2021

Well, there’s a new phenomenon in data management that received the name of a data lakehouse. The pun being obvious, there’s more to that than just a new term: Data lakehouses combine the best features of both data lakes and data warehouses and this post will explain this all. Data warehouse.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

AltexSoft

JULY 19, 2022

Data mesh is another hot trend in the data industry claiming to be able to solve many issues of its predecessors. This post explains the data mesh, how it works, what organizations may benefit from its implementation, and how to approach this new data management unicorn. What is a data mesh?

Architecture 52

Architecture Data Lake Medical Datasets 52

AltexSoft

JULY 18, 2023

Whether you’re a data scientist, software engineer, or big data enthusiast, get ready to explore the universe of Apache Spark and learn ways to utilize its strengths to the fullest. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics.

Big Data 52

Big Data Data Process Process Hadoop 52

AltexSoft

OCTOBER 8, 2021

The bad news is, integrating data can become a tedious task, especially when done manually. Luckily, there are various data integration tools that support automation and provide a unified data view for more efficient data management. Data integration process. IBM DataStage Designer interface.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

AltexSoft

SEPTEMBER 23, 2021

A data warehouse (DW) is a unified storage for all corporate data. The main purpose of a DW is to enable analytics: It is designed to source raw historical data, apply transformations, and store it in a structured format. The result of experimentation supplies downstream applications with prepared data.

Architecture 52

Architecture Data Lake Unstructured Data Data Warehouse 52

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. Small file problem.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

phData: Data Engineering

JULY 18, 2023

To truly understand its potential, we need to explore the benefits it brings, particularly when transitioning from traditional data management structures. Why Migrate to a Modern Data Stack? Enter Snowflake The Snowflake Data Cloud is one of the most popular and powerful CDW providers.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

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.

Scala 64

Scala Data Lake BI Google Cloud 64

AltexSoft

MARCH 14, 2023

This development has paved the way for a suite of cloud-native data tools that are user-friendly, scalable, and affordable. Known as the Modern Data Stack (MDS) , this suite of tools and technologies has transformed how businesses approach data management and analysis. Designed to be modular.

IT 59

IT Data Warehouse Data Governance Data Lake 59