Smart Data Collective

MAY 20, 2019

The entire process is also achieved much faster, boosting not just general efficiency but an organization’s reaction time to certain events, as well. For frameworks and languages, there’s SAS, Python, R, Apache Hadoop and many others. Data processing is another skill vital to staying relevant in the analytics field.

Analytics 111

Analytics Analytics Data Analyst Machine Learning 111

Pickl AI

MARCH 19, 2025

Apache Kafka Apache Kafka is a distributed event streaming platform used for real-time data processing. Tableau Tableau is a popular data visualization tool that enables users to create interactive dashboards and reports. Hadoop : An open-source framework for processing Big Data across multiple servers.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

IBM Journey to AI blog

SEPTEMBER 19, 2023

And you should have experience working with big data platforms such as Hadoop or Apache Spark. Diagnostic analytics: Diagnostic analytics helps pinpoint the reason an event occurred. js and Tableau Data science, data analytics and IBM Practicing data science isn’t without its challenges.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

Pickl AI

AUGUST 9, 2024

Some of the most notable technologies include: Hadoop An open-source framework that allows for distributed storage and processing of large datasets across clusters of computers. It is built on the Hadoop Distributed File System (HDFS) and utilises MapReduce for data processing. Once data is collected, it needs to be stored efficiently.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

ODSC - Open Data Science

APRIL 26, 2023

Because they are the most likely to communicate data insights, they’ll also need to know SQL, and visualization tools such as Power BI and Tableau as well. Some of the tools and techniques unique to business analysts are pivot tables, financial modeling in Excel, Power BI Dashboards for forecasting, and Tableau for similar purposes.

Data Analyst 52

Data Analyst Machine Learning Machine Learning Power BI 52

Pickl AI

MARCH 10, 2023

Some of the tools used by Data Science in 2023 include statistical analysis system (SAS), Apache, Hadoop, and Tableau. Additionally, you should attend conferences and events like webinars and learn from your peers and experts. It contains data clustering, classification, anomaly detection and time-series forecasting.

Data Scientist 52

Data Scientist Data Science Apache Hadoop Machine Learning 52

ODSC - Open Data Science

JANUARY 7, 2025

Hadoop, though less common in new projects, is still crucial for batch processing and distributed storage in large-scale environments. Luckily, nothing too complicated is needed, as Tableau is user-friendly while matplotlib is the popular Python library for data visualization.

Data Scientist 40

Data Scientist Data Science Machine Learning Machine Learning 40

phData

FEBRUARY 5, 2024

There are many different third-party tools that work with Snowflake: Fivetran Fivetran is a tool dedicated to replicating applications, databases, events, and files into a high-performance data warehouse, such as Snowflake. Matllion can replicate data from sources such as APIs, applications, relational databases, files, and NoSQL databases.

SQL 52

SQL Database Data Quality Data Warehouse 52