Data Science Dojo

AUGUST 27, 2024

Python, R, and SQL: These are the most popular programming languages for data science. Libraries and Tools: Libraries like Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, and Tableau are like specialized tools for data analysis, visualization, and machine learning. This is like dusting off the clues before examining them.

Data Scientist 273

Data Scientist Data Science Machine Learning Machine Learning 273

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 division between data lakes and data warehouses is stifling innovation. Francois Zimmermann. Brian Dirking.

Tableau 102

Tableau Data Lakes Data Warehouse SQL 102

Tableau

APRIL 21, 2021

After months of searching the sanctuary—a pristine wilderness that’s double the size of Chicago—they pull up their Tableau dashboard. Fed by data compiled from EarthRanger, a wildlife management and protection tool, the rangers discover an area unchecked. Park rangers becoming data pioneers.

Tableau 98

Tableau Big Data Big Data 98

Flipboard

DECEMBER 1, 2023

Tableau, TIBCO Data Science, IBM and Sisense are among the best software for predictive analytics. Explore their features, pricing, pros and cons to find the best option for your organization.

Predictive Analytics 160

Predictive Analytics Analytics Analytics Tableau 160

Women in Big Data

OCTOBER 9, 2024

With the explosive growth of big data over the past decade and the daily surge in data volumes, it’s essential to have a resilient system to manage the vast influx of information without failures. The success of any data initiative hinges on the robustness and flexibility of its big data pipeline.

Big Data 59

Big Data Big Data Apache Kafka Data Pipeline 59

Data Science Dojo

AUGUST 27, 2024

Python, R, and SQL: These are the most popular programming languages for data science. Libraries and Tools: Libraries like Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, and Tableau are like specialized tools for data analysis, visualization, and machine learning. This is like dusting off the clues before examining them.

Data Scientist 195

Data Scientist Data Science Machine Learning Machine Learning 195

Pickl AI

AUGUST 9, 2024

Summary: A comprehensive Big Data syllabus encompasses foundational concepts, essential technologies, data collection and storage methods, processing and analysis techniques, and visualisation strategies. Fundamentals of Big Data Understanding the fundamentals of Big Data is crucial for anyone entering this field.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

phData

JUNE 26, 2023

Two tools that have significantly impacted the data analytics landscape are KNIME and Tableau. KNIME Analytics Platform is an open-source data analytics tool that enables users to manage, process, and analyze data through a visual, user-friendly interface. You can read more about the KNIME Tableau Integration here.

Tableau 52

Tableau Data Preparation Machine Learning Machine Learning 52

Pickl AI

DECEMBER 26, 2024

Summary: Big Data revolutionises promotional strategies by enabling personalised, data-driven marketing campaigns. Businesses leveraging Big Data effectively gain a competitive edge in connecting with audiences and optimising campaign performance while fostering trust through responsible data use.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Women in Big Data

DECEMBER 9, 2024

Introduction In the rapidly evolving landscape of data analytics, Business Intelligence (BI) tools have become indispensable for organizations seeking to leverage their big data stores for strategic decision-making. Tableau – Tableau is celebrated for its advanced data visualization and interactive dashboard features.

Big Data 52

Big Data Big Data Power BI Tableau 52

Pickl AI

DECEMBER 2, 2024

Summary: Big Data encompasses vast amounts of structured and unstructured data from various sources. Key components include data storage solutions, processing frameworks, analytics tools, and governance practices. Key Takeaways Big Data originates from diverse sources, including IoT and social media.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Smart Data Collective

APRIL 14, 2021

Advancement in big data technology has made the world of business even more competitive. The proper use of business intelligence and analytical data is what drives big brands in a competitive market. This high-end data visualization makes data exploration more accessible to end-users.

Business Intelligence 138

Business Intelligence Business Intelligence Tableau SQL 138

Pickl AI

NOVEMBER 25, 2024

Summary: Big Data encompasses vast amounts of structured and unstructured data from various sources. Key components include data storage solutions, processing frameworks, analytics tools, and governance practices. Key Takeaways Big Data originates from diverse sources, including IoT and social media.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Mlearning.ai

FEBRUARY 22, 2023

A big data architecture blueprint is a plan for managing and using large amounts of information. Here are the main steps involved in creating a big data architecture blueprint: 1. Identify the business problem or use case : Start by identifying the business problem or use case that you want to solve with big data.

Big Data 52

Big Data Big Data Power BI Hadoop 52

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. Let’s read the blog to find out!

Tableau 52

Tableau Data Science Data Scientist Data Analysis 52

Pickl AI

NOVEMBER 5, 2024

Summary: Data Visualisation is crucial to ensure effective representation of insights tableau vs power bi are two popular tools for this. This article compares Tableau and Power BI, examining their features, pricing, and suitability for different organisations. What is Tableau? billion in 2023. from 2022 to 2028.

Power BI 52

Power BI Tableau Business Intelligence Business Intelligence 52

Tableau

MARCH 29, 2021

In Tableau 2021.1, we’ve added new connectors to help our customers access more data in Azure than ever before: an Azure SQL Database connector and an Azure Data Lake Storage Gen2 connector. As our customers increasingly adopt the cloud, we continue to make investments that ensure they can access their data anywhere.

Azure 52

Azure Tableau Data Lakes SQL 52

Smart Data Collective

SEPTEMBER 6, 2020

Big data tools are incredibly important for the survival of modern businesses. The best companies tend to invest in the highest quality big data technology to gain a competitive advantage in their market. They need to do their due diligence and find ways to make the most of the big data technology at their disposal.

Big Data 103

Big Data Big Data Analytics Analytics 103

Data Science Blog

JULY 23, 2023

Data Mesh on Azure Cloud with Databricks and Delta Lake for Applications of Business Intelligence, Data Science and Process Mining. Microsoft Azure Cloud is favored by many companies, especially for European industrial companies, due to its scalability, flexibility, and industry-specific solutions.

Data Science 246

Data Science Azure Power BI Business Intelligence 246

Smart Data Collective

AUGUST 10, 2021

Data can help them create strategies based on these powerful forces. The good news is that it’s never been easier to collect and organize data. In the early days of analytics, only the largest companies could afford to leverage big data. Data Science: Harnessing the Power of Big Data.

Analytics 132

Analytics Analytics Data Science Tableau 132

Alation

FEBRUARY 11, 2020

The e-commerce giant leverages Tableau and the Alation Data Catalog to create a seamless process of data discovery and analysis with the goal of enabling all of its 7,500+ employees with self-service analytics. MercadoLibre’s journey to democratizing data began five years ago. million sellers and 267 million users.

Tableau 52

Tableau Analytics Analytics Business Intelligence 52

Alation

JANUARY 13, 2020

The e-commerce giant leverages Tableau and the Alation Data Catalog to create a seamless process of data discovery and analysis with the goal of enabling all […]. The post MercadoLibre grows governed, self-service analytics with Alation and Tableau appeared first on Alation. million sellers and 267 million users.

Tableau 52

Tableau Analytics Analytics Big Data 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 division between data lakes and data warehouses is stifling innovation. Francois Zimmermann. Brian Dirking.

Tableau 52

Tableau Data Lakes Data Warehouse SQL 52

Smart Data Collective

NOVEMBER 25, 2019

Just as companies are becoming more aware of the value of data, so are hackers — and as a result, the frequency and cost of data breaches are beginning to skyrocket. In the future, companies that come to rely on these new data sources will also need to protect that data — or risk the consequences.

Business Intelligence 132

Business Intelligence Business Intelligence Predictive Analytics Natural Language Processing 132

Tableau

APRIL 21, 2021

After months of searching the sanctuary—a pristine wilderness that’s double the size of Chicago—they pull up their Tableau dashboard. Fed by data compiled from EarthRanger, a wildlife management and protection tool, the rangers discover an area unchecked. Park rangers becoming data pioneers.

Tableau 52

Tableau Big Data Big Data 52

Smart Data Collective

OCTOBER 28, 2022

The benefits of investing in big data cannot possibly be understated. A report by McKinsey showed that data-driven companies have 15-25% higher earnings before interest, taxes, depreciation and amortization. As we pointed out before, Google is one of the many companies that uses big data to drive its decision making processes.

Big Data 126

Big Data Big Data Data Analysis Data Analysis 126

Smart Data Collective

MARCH 25, 2021

Business reporting has been around for a long time but the tools and techniques of business intelligence have refined over time and now with the recent popularity of data driven business approach, data has been identified as the most valuable asset of a business and data analytics and reporting has finally found a key place in the business world.

Analytics 130

Analytics Analytics Data Analyst Business Intelligence 130

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

DECEMBER 26, 2024

Summary: “Data Science in a Cloud World” highlights how cloud computing transforms Data Science by providing scalable, cost-effective solutions for big data, Machine Learning, and real-time analytics. This accessibility democratises Data Science, making it available to businesses of all sizes.

Data Science 52

Data Science Cloud Computing Machine Learning Machine Learning 52

Analytics Vidhya

JUNE 27, 2020

Overview There are a plethora of data science tools out there – which one should you pick up? The post 22 Widely Used Data Science and Machine Learning Tools in 2020 appeared first on Analytics Vidhya. Here’s a list of over 20.

Data Science 400

Data Science Machine Learning Machine Learning Analytics 400

Data Science Blog

NOVEMBER 15, 2023

The trend towards powerful in-house cloud platforms for data and analysis ensures that large volumes of data can increasingly be stored and used flexibly. New big data architectures and, above all, data sharing concepts such as Data Mesh are ideal for creating a common database for many data products and applications.

Data Models 245

Data Models Data Modeling Business Intelligence Business Intelligence 245

Data Science Dojo

APRIL 18, 2023

First, the amount of data available to organizations has grown exponentially in recent years, creating a need for professionals who can make sense of it. Second, advancements in technology, such as big data and machine learning, have made it easier and more efficient to analyze data.

Data Analyst 195

Data Analyst Data Visualization Data Analysis Data Analysis 195

Dataconomy

JULY 24, 2023

” Data visualization and communication It’s not enough to uncover insights from data; a data scientist must also communicate these insights effectively. This is where data visualization comes in. Tools like Tableau, Matplotlib, Seaborn, or Power BI can be incredibly helpful.

Data Scientist 172

Data Scientist Data Science Data Analyst Machine Learning 172

Data Science Dojo

MAY 24, 2024

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. Clean and well-prepared data are essential for building accurate and effective models, as the quality of data directly impacts the outcome of predictive models.

AI 195

AI AI Deep Learning Deep Learning 195

Smart Data Collective

MAY 20, 2019

We’re well past the point of realization that big data and advanced analytics solutions are valuable — just about everyone knows this by now. Big data alone has become a modern staple of nearly every industry from retail to manufacturing, and for good reason. But it’s not the only skill necessary to thrive.

Analytics 111

Analytics Analytics Data Analyst Machine Learning 111

Alation

FEBRUARY 20, 2020

The rise of data lakes, IOT analytics, and big data pipelines has introduced a new world of fast, big data. TrustCheck integrates with the Alation Data Catalog and appears directly within the Alation Compose application as users write queries. With TrustCheck, Alation users can endorse a trusted data source.

Data Governance 52

Data Governance Tableau Analytics Analytics 52

ODSC - Open Data Science

FEBRUARY 2, 2023

Big Data As datasets become larger and more complex, knowing how to work with them will be key. Big data isn’t an abstract concept anymore, as so much data comes from social media, healthcare data, and customer records, so knowing how to parse all of that is needed.

Data Science 98

Data Science Data Scientist Computer Science Computer Science 98