Remove Apache Hadoop Remove Database Remove Tableau
article thumbnail

Top Big Data Tools Every Data Professional Should Know

Pickl AI

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. Tableau Tableau is a powerful business intelligence tool that helps visualize data in an interactive manner through dashboards and reports.

article thumbnail

Data Scientist Job Description – What Companies Look For in 2025

Pickl AI

Visualization and Reporting: Creating dashboards and reports using tools like Tableau or Power BI to communicate insights effectively to non-technical stakeholders, including management and clients. SQL remains crucial for database querying, especially given India’s large IT services ecosystem. Big Data: Apache Hadoop, Apache Spark.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

10 Must-Have AI Engineering Skills in 2024

Data Science Dojo

Java is also widely used in big data technologies, supported by powerful Java-based tools like Apache Hadoop and Spark, which are essential for data processing in AI. Big Data Technologies With the growth of data-driven technologies, AI engineers must be proficient in big data platforms like Hadoop, Spark, and NoSQL databases.

article thumbnail

Navigating the Big Data Frontier: A Guide to Efficient Handling

Women in Big Data

Components of a Big Data Pipeline Data Sources (Collection): Data originates from various sources, such as databases, APIs, and log files. Examples include transactional databases, social media feeds, and IoT sensors. This phase ensures quality and consistency using frameworks like Apache Spark or AWS Glue.

article thumbnail

6 Data And Analytics Trends To Prepare For In 2020

Smart Data Collective

With databases, for example, choices may include NoSQL, HBase and MongoDB but its likely priorities may shift over time. For frameworks and languages, there’s SAS, Python, R, Apache Hadoop and many others. SQL programming skills, specific tool experience — Tableau for example — and problem-solving are just a handful of examples.

Analytics 111
article thumbnail

A Comprehensive Guide to the main components of Big Data

Pickl AI

This includes structured data (like databases), semi-structured data (like XML files), and unstructured data (like text documents and videos). Key tools include: Business Intelligence (BI) Tools : Software like Tableau or Power BI allows users to visualise and analyse complex datasets easily.

article thumbnail

A Comprehensive Guide to the Main Components of Big Data

Pickl AI

This includes structured data (like databases), semi-structured data (like XML files), and unstructured data (like text documents and videos). Key tools include: Business Intelligence (BI) Tools : Software like Tableau or Power BI allows users to visualise and analyse complex datasets easily.