Women in Big Data

OCTOBER 9, 2024

Data Ingestion: Data is collected and funneled into the pipeline using batch or real-time methods, leveraging tools like Apache Kafka, AWS Kinesis, or custom ETL scripts. Data Processing (Preparation): Ingested data undergoes processing to ensure it’s suitable for storage and analysis.

Big Data 59

Big Data Big Data Apache Kafka Data Pipeline 59

Tableau

OCTOBER 11, 2021

Director, Community Programs & Engagement at Tableau. We are just weeks away from Tableau Conference and the ultimate visualization showdown —Iron Viz 2021—where three fierce contestants will take the virtual stage for an intense lightning round of live viz-tastic storytelling. . Andrew Grinaker. Ateken Abla. October 21, 2021.

Tableau 52

Tableau Data Visualization AWS 52

Tableau

OCTOBER 11, 2021

Director, Community Programs & Engagement at Tableau. We are just weeks away from Tableau Conference and the ultimate visualization showdown —Iron Viz 2021—where three fierce contestants will take the virtual stage for an intense lightning round of live viz-tastic storytelling. . Andrew Grinaker. Ateken Abla. October 21, 2021.

Tableau 52

Tableau Data Visualization AWS 52

ODSC - Open Data Science

FEBRUARY 6, 2024

Cloud-Based Orchestration Tools While open-source tools are powerful, cloud-based orchestration services like AWS Glue, Azure Data Factory, and Google Cloud Dataflow offer managed solutions that reduce the burden of infrastructure management.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

ODSC - Open Data Science

APRIL 3, 2023

As you’ll see below, however, a growing number of data analytics platforms, skills, and frameworks have altered the traditional view of what a data analyst is. Data Presentation: Communication Skills, Data Visualization Any good data analyst can go beyond just number crunching.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

phData

MAY 25, 2023

Two of the platforms that we see emerging as a popular combination of data warehousing and business intelligence are the Snowflake Data Cloud and Power BI. Debuting in 2015, Power BI has undergone meaningful updates that have made it a leader not just in data visualization, but in the business intelligence space as well.

Power BI 84

Power BI Analytics Analytics Azure 84

Mlearning.ai

MARCH 15, 2023

Responsibilities of a Data Analyst Data analysts, on the other hand, help businesses and organizations make data-driven decisions through their analytical skills. Their job is mainly to collect, process, analyze, and create detailed reports on data to meet business needs.

Data Science 52

Data Science Analytics Analytics Data Analyst 52

Pickl AI

JULY 25, 2023

Proficient in programming languages like Python or R, data manipulation libraries like Pandas, and machine learning frameworks like TensorFlow and Scikit-learn, data scientists uncover patterns and trends through statistical analysis and data visualization. Data Visualization: Matplotlib, Seaborn, Tableau, etc.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Pickl AI

DECEMBER 25, 2024

Key Tools and Techniques Business Analytics employs various tools and techniques to process and interpret data effectively. Dashboards, such as those built using Tableau or Power BI , provide real-time visualizations that help track key performance indicators (KPIs). Data Scientists require a robust technical foundation.

Data Science 52

Data Science Analytics Analytics Data Scientist 52

Pickl AI

JULY 30, 2024

Data Visualisation Data visualisation involves presenting complex data in a clear and understandable format. Some of the key tools used for data visualisation include: Tableau Tableau is a data visualisation tool that allows researchers to create interactive dashboards and reports.

Cloud Computing 52

Cloud Computing Machine Learning Machine Learning Power BI 52

ODSC - Open Data Science

JANUARY 7, 2025

Environments Data science environments encompass the tools and platforms where professionals perform their work. From development environments like Jupyter Notebooks to robust cloud-hosted solutions such as AWS SageMaker, proficiency in these systems is critical.

Data Scientist 40

Data Scientist Data Science Machine Learning Machine Learning 40

Pickl AI

APRIL 26, 2024

This comprehensive blog outlines vital aspects of Data Analyst interviews, offering insights into technical, behavioural, and industry-specific questions. It covers essential topics such as SQL queries, data visualization, statistical analysis, machine learning concepts, and data manipulation techniques.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Data Science Blog

JULY 23, 2023

A Data Product can take various forms, depending on the domain’s requirements and the data it manages. It could be a curated dataset, a machine learning model, an API that exposes data, a real-time data stream, a data visualization dashboard, or any other data-related asset that provides value to the organization.

Data Science 246

Data Science Azure Power BI Business Intelligence 246

Data Science Dojo

MAY 24, 2024

Navigate through 6 Popular Python Libraries for Data Science R R is another important language, particularly valued in statistics and data analysis, making it useful for AI applications that require intensive data processing.

AI 195

AI AI Deep Learning Deep Learning 195

Women in Big Data

DECEMBER 9, 2024

Through a comparative analysis of some of the leading BI tools: Google Looker, Microsoft Power BI, Tableau and Qlik Sense, discover which BI solution best fits your organization’s data analytics needs to empower informed decision-making. It allows users to create highly customizable and visually appealing reports.

Big Data 52

Big Data Big Data Power BI Tableau 52

Pickl AI

DECEMBER 4, 2024

Understanding real-time data processing frameworks, such as Apache Kafka, will also enhance your ability to handle dynamic analytics. Master Data Visualization Techniques Data visualization is key to effectively communicating insights. Additionally, familiarity with cloud platforms (e.g.,

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

APRIL 2, 2024

Tableau/Power BI: Visualization tools for creating interactive and informative data visualizations. Hadoop/Spark: Frameworks for distributed storage and processing of big data. Cloud Platforms (AWS, Azure, Google Cloud): Infrastructure for scalable and cost-effective data storage and analysis.

Data Science 52

Data Science Machine Learning Machine Learning Predictive Analytics 52