Data Science Dojo

JANUARY 12, 2023

When it comes to data, there are two main types: data lakes and data warehouses. What is a data lake? An enormous amount of raw data is stored in its original format in a data lake until it is required for analytics applications. Which one is right for your business? Let’s take a closer look.

Data Lakes 221

Data Lakes Data Warehouse Hadoop Machine Learning 221

Precisely

MARCH 9, 2023

As cloud computing platforms make it possible to perform advanced analytics on ever larger and more diverse data sets, new and innovative approaches have emerged for storing, preprocessing, and analyzing information. Hadoop, Snowflake, Databricks and other products have rapidly gained adoption.

Data Warehouse 59

Data Warehouse Data Lakes Hadoop Big Data 59

Dataconomy

FEBRUARY 27, 2025

Hadoop has become synonymous with big data processing, transforming how organizations manage vast quantities of information. As businesses increasingly rely on data for decision-making, Hadoop’s open-source framework has emerged as a key player, offering a powerful solution for handling diverse and complex datasets.

Hadoop 91

Hadoop Clustering Big Data Big Data 91

Dataconomy

MAY 26, 2025

Big data engineers are essential in today’s data-driven landscape, transforming vast amounts of information into valuable insights. As businesses increasingly depend on big data to tailor their strategies and enhance decision-making, the role of these engineers becomes more crucial.

Big Data 91

Big Data Big Data Data Engineer Data Engineering 91

Pickl AI

FEBRUARY 23, 2025

Introduction to Big Data Tools In todays data-driven world, organisations are inundated with vast amounts of information generated from various sources, including social media, IoT devices, transactions, and more. Big Data tools are essential for effectively managing and analysing this wealth of information.

Big Data 52

Big Data Big Data Apache Hadoop Apache Kafka 52

Women in Big Data

OCTOBER 9, 2024

With the explosive growth of big data over the past decade and the daily surge in data volumes, it’s essential to have a resilient system to manage the vast influx of information without failures. The success of any data initiative hinges on the robustness and flexibility of its big data pipeline.

Big Data 59

Big Data Big Data Apache Kafka Data Pipeline 59

Pickl AI

NOVEMBER 4, 2024

The goal is to ensure that data is available, reliable, and accessible for analysis, ultimately driving insights and informed decision-making within organisations. Role of Data Engineers in the Data Ecosystem Data Engineers play a crucial role in the data ecosystem by bridging the gap between raw data and actionable insights.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52