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. The successful analysts of today and tomorrow must have a solid foundation in business intelligence too.

Analytics 111

Analytics Analytics Data Analyst Machine Learning 111

Dataconomy

MAY 16, 2025

Advanced analytics equips organizations with tools to tackle intricate business challenges that standard business intelligence (BI) tools may not effectively address. Open source tools Many data scientists utilize cost-effective, community-supported options like Hadoop and Spark to carry out their analyses.

Analytics 91

Analytics Analytics Big Data Analytics Big Data Analytics 91

Dataconomy

JULY 24, 2023

Tools like Tableau, Matplotlib, Seaborn, or Power BI can be incredibly helpful. Good communication skills ensure you can translate complex findings into understandable insights for business stakeholders. Look for internships in roles like data analyst, business intelligence analyst, statistician, or data engineer.

Data Scientist 172

Data Scientist Data Science Data Analyst Machine Learning 172

Pickl AI

MARCH 19, 2025

It is commonly used for analytics and business intelligence, helping organisations make data-driven decisions. It allows businesses to store and analyse large datasets without worrying about infrastructure management. Looker : A business intelligence tool for data exploration and visualization.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Alation

FEBRUARY 20, 2020

A “catalog-first” approach to business intelligence enables both empowerment and accuracy; and Alation has long enabled this combination over Tableau. Alation’s deep integration with tools like MicroStrategy and Tableau provides visibility into the complete data pipeline: from storage through visualization.

Data Governance 52

Data Governance Tableau Hadoop Data Pipeline 52

Alation

FEBRUARY 20, 2020

Business Intelligence used to require months of effort from BI and ETL teams. Today, you have Tableau, empowering any analyst to create a report. Today, any data scientist, business analyst or business person can use Trifacta to transform, prepare, and move data. Now you have iPhones and YouTube.

ETL 52

ETL Hadoop Tableau Data Scientist 52

IBM Journey to AI blog

SEPTEMBER 19, 2023

Business users will also perform data analytics within business intelligence (BI) platforms for insight into current market conditions or probable decision-making outcomes. And you should have experience working with big data platforms such as Hadoop or Apache Spark.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

Pickl AI

DECEMBER 2, 2024

Processing frameworks like Hadoop enable efficient data analysis across clusters. Analytics tools help convert raw data into actionable insights for businesses. Distributed File Systems: Technologies such as Hadoop Distributed File System (HDFS) distribute data across multiple machines to ensure fault tolerance and scalability.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

Processing frameworks like Hadoop enable efficient data analysis across clusters. Analytics tools help convert raw data into actionable insights for businesses. Distributed File Systems: Technologies such as Hadoop Distributed File System (HDFS) distribute data across multiple machines to ensure fault tolerance and scalability.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

FEBRUARY 28, 2023

Significantly, in contrast, Data Analysts utilise their proficiency in a relational databases, Business Intelligence programs and statistical software. At length, use Hadoop, Spark, and tools like Pig and Hive to develop big data infrastructures.

Data Analyst 52

Data Analyst Data Scientist Data Science Computer Science 52

Pickl AI

APRIL 2, 2024

There are three main types, each serving a distinct purpose: Descriptive Analytics (Business Intelligence): This focuses on understanding what happened. Tableau/Power BI: Visualization tools for creating interactive and informative data visualizations. Hadoop/Spark: Frameworks for distributed storage and processing of big data.

Data Science 52

Data Science Machine Learning Machine Learning Predictive Analytics 52

Pickl AI

APRIL 18, 2023

Here is what you need to add to your resume Analysed Built Conducted Created Collaborated Developed Integrated Led Managed Partnered Support Designed Showcase Your Technical Skills In addition to using the right words and phrases in your resume, you should also highlight the key skills.

Data Science 52

Data Science Machine Learning Machine Learning Data Scientist 52

Data Science Blog

MARCH 14, 2023

Big Data wurde zum Business-Sprech der darauffolgenden Jahre. In der Parallelwelt der ITler wurde das Tool und Ökosystem Apache Hadoop quasi mit Big Data beinahe synonym gesetzt. Google Trends – Big Data (blue), Data Science (red), Business Intelligence (yellow) und Process Mining (green).

Big Data 147

Big Data Big Data Apache Hadoop Data Science 147