ProjectPro

JUNE 6, 2025

In the big data industry, Hadoop has emerged as a popular framework for processing and analyzing large datasets, with its ability to handle massive amounts of structured and unstructured data. To this group, we add a storage account and move the raw data. What is Hadoop best used for?

Hadoop

ProjectPro

JUNE 6, 2025

Use Cloud SQL to store the collected data and build dashboards that allow analysts to track KPIs in real-time. Build a data warehouse that aggregates data from multiple sources such as transactional databases and third-party APIs.

ETL Tools

ProjectPro

JUNE 6, 2025

We live in a world overflowing with data—generated from every click, purchase, and interaction. But raw data alone doesn’t drive change; it’s how we analyze and interpret it that leads to smarter decisions and innovations. Topic modelling can also be used to classify large datasets of emails.

Data Analytics

U-Next

SEPTEMBER 7, 2022

Structuring data refers to converting unstructured data into tables and defining data types and relationships based on a schema. The data lakes store data from a wide variety of sources, including IoT devices, real-time social media streams, user data, and web application transactions.

Data Lake

ProjectPro

FEBRUARY 8, 2023

But this data is not that easy to manage since a lot of the data that we produce today is unstructured. In fact, 95% of organizations acknowledge the need to manage unstructured raw data since it is challenging and expensive to manage and analyze, which makes it a major concern for most businesses.

AWS

Monte Carlo

FEBRUARY 15, 2023

Cleaning Bad data can derail an entire company, and the foundation of bad data is unclean data. Therefore it’s of immense importance that the data that enters a data warehouse needs to be cleaned. Data can be loaded in batches or can be streamed in near real-time.

Data Warehouse

Ascend.io

NOVEMBER 21, 2023

More importantly, we will contextualize ELT in the current scenario, where data is perpetually in motion, and the boundaries of innovation are constantly being redrawn. Extract The initial stage of the ELT process is the extraction of data from various source systems. What Is ELT? So, what exactly is ELT?

Raw Data

DareData

JULY 5, 2023

If you work at a relatively large company, you've seen this cycle happening many times: Analytics team wants to use unstructured data on their models or analysis. For example, an industrial analytics team wants to use the logs from raw data.

Data Lake

AltexSoft

DECEMBER 23, 2022

For example, Online Analytical Processing (OLAP) systems only allow relational data structures so the data has to be reshaped into the SQL-readable format beforehand. In ELT, raw data is loaded into the destination, and then it receives transformations when it’s needed. ELT allows them to work with the data directly.

Process

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.

Data Pipeline

Knowledge Hut

JANUARY 25, 2024

Encoding categorical variables, scaling numerical features, creating new features, aggregating data. One-hot encoding categorical variables, standardizing numerical features, aggregating data. Best Data cleaning tools and software Data cleaning is a crucial step in data preparation, ensuring data accuracy and reliability.

Data Cleanse

ProjectPro

JULY 27, 2021

Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language). SQL works on data arranged in a predefined schema. Non-relational databases support dynamic schema for unstructured data.

Data Engineering

ProjectPro

JUNE 6, 2025

ETL is meant for extracting, transforming, and aggregating data. ETL is the first step in data warehousing. The data warehouse takes a long time to generate cross-tab reports from source tables. There is no need to convert the data before it can be analyzed or used to make business operating decisions.

ETL Tools

ProjectPro

AUGUST 24, 2021

Within no time, most of them are either data scientists already or have set a clear goal to become one. Nevertheless, that is not the only job in the data world. And, out of these professions, this blog will discuss the data engineering job role. A data engineer interacts with this warehouse almost on an everyday basis.

Data Engineering