Pickl AI

JUNE 12, 2023

Tableau is a data visualisation software helping you to generate graphics-rich reporting and analysing enormous volumes of data. With the help of Tableau, organisations have been able to mine and gather actionable insights from granular sources of data. But What is Tableau for Data Science and what are its advantages and disadvantages?

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Tableau Data Science Data Scientist Data Analysis 52

Tableau

JUNE 8, 2021

EMEA Field CTO, Tableau. In many of the conversations we have with IT and business leaders, there is a sense of frustration about the speed of time-to-value for big data and data science projects. The lakehouse model provides distinct advantages for Tableau customers. Francois Zimmermann. Brian Dirking. Kristin Adderson.

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Pickl AI

FEBRUARY 23, 2025

Apache Hadoop Apache Hadoop is an open-source framework that allows for distributed storage and processing of large datasets across clusters of computers using simple programming models. Key Features : Scalability : Hadoop can handle petabytes of data by adding more nodes to the cluster. Statistics Kafka handles over 1.1

Big Data 52

Big Data Big Data Apache Hadoop Apache Kafka 52

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. Sentiment analysis By analyzing text data, businesses can gauge customer emotions towards their brands, aiding in reputation management.

Analytics 91

Analytics Analytics Big Data Analytics Big Data Analytics 91

Dataconomy

JULY 24, 2023

Familiarity with regression techniques, decision trees, clustering, neural networks, and other data-driven problem-solving methods is vital. Tools like Tableau, Matplotlib, Seaborn, or Power BI can be incredibly helpful. 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

DECEMBER 2, 2024

Processing frameworks like Hadoop enable efficient data analysis across clusters. Analytics tools help convert raw data into actionable insights for businesses. Key tools include: Business Intelligence (BI) Tools : Software like Tableau or Power BI allows users to visualise and analyse complex datasets easily.

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. Key tools include: Business Intelligence (BI) Tools : Software like Tableau or Power BI allows users to visualise and analyse complex datasets easily.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Mlearning.ai

FEBRUARY 16, 2023

The demand for information repositories enabling business intelligence and analytics is growing exponentially, giving birth to cloud solutions. Adjustable Performance Every business may have fluctuations in its activities. Data warehousing is a vital constituent of any business intelligence operation.

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

AWS Machine Learning Blog

MAY 30, 2024

AWS Prototyping successfully delivered a scalable prototype, which solved CBRE’s business problem with a high accuracy rate (over 95%) and supported reuse of embeddings for similar NLQs, and an API gateway for integration into CBRE’s dashboards. OpenSearch is an open source, distributed search and analytics suite derived from Elasticsearch.

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Pickl AI

APRIL 3, 2025

Modeling & Algorithms: Applying statistical models (like regression, classification, clustering) or Machine Learning algorithms to identify deeper patterns, make predictions, or classify data points. Pattern & Trend Spotting: Makes it easier to identify relationships, trends over time, clusters, and anomalies.

Data Analysis 52

Data Analysis Data Analysis Data Visualization EDA 52

phData

FEBRUARY 13, 2024

This highly customizable and scalable solution enables businesses to tailor the software to their specific needs, providing tools for business intelligence, reporting, and seamless integration with other systems. Example Solution Here is a high-level overview of how the solution works.

Analytics 59

Analytics Analytics Data Scientist Data Modeling 59

Pickl AI

DECEMBER 4, 2024

This includes supervised learning techniques like linear regression and unsupervised learning methods like clustering. Tableau or Matplotlib) is critical for presenting insights to stakeholders who may not have a technical background. Machine Learning Understanding Machine Learning algorithms is essential for predictive analytics.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

APRIL 26, 2024

Then, I would use clustering techniques such as k-means or hierarchical clustering to group customers based on similarities in their purchasing behaviour. It is essential to provide a unified data view and enable business intelligence and analytics. You’re tasked with predicting sales for a retail store.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Pickl AI

SEPTEMBER 23, 2024

Unsupervised Learning techniques such as clustering and dimensionality reduction to discover patterns in data. Tableau: A leading Data Visualisation tool that allows users to create interactive and shareable dashboards. Comprehensive Coverage: Encompasses various topics from Machine Learning to business intelligence.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Data Science Machine Learning 52

Pickl AI

FEBRUARY 9, 2025

Summary: Discover Tableau, a visual analytics platform that empowers users to understand data through interactive dashboards and visualisations. Tableau simplifies complex data, enabling real-time analysis, data blending, and advanced analytics. It promotes collaboration through sharing and accessibility What is Tableau?

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