Data Science Dojo

JULY 6, 2023

Apache Hadoop: Apache Hadoop is an open-source framework for distributed storage and processing of large datasets. Apache Spark: Apache Spark is an open-source, unified analytics engine designed for big data processing. Looker: Looker is a business intelligence and data visualization platform.

Data Engineering 195

Data Engineering Data Engineering Data Engineer Data Engineering 195

Smart Data Collective

MAY 20, 2019

For frameworks and languages, there’s SAS, Python, R, Apache Hadoop and many others. Basic Business Intelligence Experience is a Must. Communication happens to be a critical soft skill of business intelligence. Data processing is another skill vital to staying relevant in the analytics field.

Analytics 111

Analytics Analytics Data Analyst Machine Learning 111

Pickl AI

JULY 18, 2023

Python: Versatile and Robust Python is one of the future programming languages for Data Science. However, with libraries like NumPy, Pandas, and Matplotlib, Python offers robust tools for data manipulation, analysis, and visualization. Enrol Now: Python Certification Training Data Science Course 2.

Data Science 52

Data Science SQL Data Scientist Python 52

Pickl AI

AUGUST 1, 2023

Data Pipeline Orchestration: Managing the end-to-end data flow from data sources to the destination systems, often using tools like Apache Airflow, Apache NiFi, or other workflow management systems. It teaches Pandas, a crucial library for data preprocessing and transformation.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Pickl AI

JULY 29, 2024

Some key applications of Hadoop clusters in big data include: Data Warehousing Hadoop clusters can be used as cost-effective data warehousing solutions , storing and processing large volumes of data for business intelligence and reporting purposes. Apache Hadoop, Cloudera, Hortonworks).

Hadoop 52

Hadoop Clustering Big Data Big Data 52

Pickl AI

FEBRUARY 23, 2025

Best Big Data Tools Popular tools such as Apache Hadoop, Apache Spark, Apache Kafka, and Apache Storm enable businesses to store, process, and analyse data efficiently. Key Features : Speed : Spark processes data in-memory, making it up to 100 times faster than Hadoop MapReduce in certain applications.

Big Data 52

Big Data Big Data Apache Hadoop Apache Kafka 52