Data Science Dojo

MARCH 15, 2023

Data Science Dojo is offering Meltano CLI for FREE on Azure Marketplace preconfigured with Meltano, a platform that provides flexibility and scalability. It comprises four features, it is customizable, observable with a full view of data visualization, testable and versionable to track changes, and can easily be rolled back if needed.

Azure 195

Azure Data Science Data Engineering Data Engineering 195

Towards AI

MARCH 21, 2023

The visualization of the data is important as it gives us hidden insights and potential details about the dataset and its pattern, which we may miss out on without data visualization. These visualizations can be done using platforms like software tools (e.g., What are ETL and data pipelines?

Data Engineering 95

Data Engineering Data Engineering Data Engineer Data Engineering 95

ODSC - Open Data Science

APRIL 4, 2024

Data Analytics in the Age of AI, When to Use RAG, Examples of Data Visualization with D3 and Vega, and ODSC East Selling Out Soon Data Analytics in the Age of AI Let’s explore the multifaceted ways in which AI is revolutionizing data analytics, making it more accessible, efficient, and insightful than ever before.

Data Visualization 52

Data Visualization Analytics Analytics Big Data Analytics 52

Data Science Dojo

JULY 3, 2024

Data science bootcamps are intensive short-term educational programs designed to equip individuals with the skills needed to enter or advance in the field of data science. They cover a wide range of topics, ranging from Python, R, and statistics to machine learning and data visualization.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Dataconomy

SEPTEMBER 4, 2023

Here are some of the key types of cloud analytics: Descriptive analytics: This type focuses on summarizing historical data to provide insights into what has happened in the past. It helps organizations understand trends, patterns, and anomalies in their data. Ensure that data is clean, consistent, and up-to-date.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

ODSC - Open Data Science

MARCH 12, 2025

Data Engineerings SteadyGrowth 20182021: Data engineering was often mentioned but overshadowed by modeling advancements. 20222024: As AI models required larger and cleaner datasets, interest in data pipelines, ETL frameworks, and real-time data processing surged.

Data Science 52

Data Science Machine Learning Machine Learning Data Engineering 52

How to Learn Machine Learning

APRIL 26, 2025

Data Cleaning and Preparation The tasks of cleaning and preparing the data take place before the analysis. This includes duplicate removal, missing value treatment, variable transformation, and normalization of data. Some of the famous tools and libraries are Python’s scikit-learn, TensorFlow, PyTorch, and R.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

Women in Big Data

OCTOBER 9, 2024

After this, the data is analyzed, business logic is applied, and it is processed for further analytical tasks like visualization or machine learning. Big data pipelines operate similarly to traditional ETL (Extract, Transform, Load) pipelines but are designed to handle much larger data volumes.

Big Data 59

Big Data Big Data Apache Kafka Data Pipeline 59

Towards AI

APRIL 2, 2024

Steps Involved in the Data Analysis Process (General Steps to Follow as a Data Analyst) Gather the data in any spreadsheet or database and gain a basic understanding of the data that you have using any statistical techniques or by writing SQL Queries.

Data Analysis 94

Data Analysis Data Analysis Data Analyst Power BI 94

phData

APRIL 28, 2025

With a background in Data Visualization and BI tools, Ive always approached things with a visual mindset. A Matillion pipeline is a collection of jobs that extract, load, and transform (ETL/ELT) data from various sources into a target system, such as a cloud data warehouse like Snowflake.

AI 52

AI AI SQL ETL 52

Pickl AI

JANUARY 15, 2025

Business Intelligence tools encompass a variety of software applications designed to collect, process, analyse, and present business data. These tools enable organizations to convert raw data into actionable insights through various means such as reporting, analytics, data visualization, and performance management.

Business Intelligence 52

Business Intelligence Business Intelligence Power BI Data Visualization 52

Pickl AI

JULY 3, 2023

It is the process of converting raw data into relevant and practical knowledge to help evaluate the performance of businesses, discover trends, and make well-informed choices. Data gathering, data integration, data modelling, analysis of information, and data visualization are all part of intelligence for businesses.

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 52

Pickl AI

MARCH 3, 2025

Summary: Business Intelligence Analysts transform raw data into actionable insights. They use tools and techniques to analyse data, create reports, and support strategic decisions. Key skills include SQL, data visualization, and business acumen. Introduction We are living in an era defined by data.

Business Intelligence 52

Business Intelligence Business Intelligence Data Analyst Data Visualization 52

Pickl AI

JULY 25, 2023

Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. Data Visualization: Matplotlib, Seaborn, Tableau, etc.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Pickl AI

JANUARY 28, 2025

Data Integration Once data is collected from various sources, it needs to be integrated into a cohesive format. Data Quality Management : Ensures that the integrated data is accurate, consistent, and reliable for analysis. These tools work together to facilitate efficient data management and analysis processes.

Business Intelligence 52

Business Intelligence Business Intelligence ETL Data Lakes 52

Mlearning.ai

AUGUST 10, 2023

The project I did to land my business intelligence internship — CAR BRAND SEARCH ETL PROCESS WITH PYTHON, POSTGRESQL & POWER BI 1. Section 2: Explanation of the ETL diagram for the project. Section 4: Reporting data for the project insights. ETL ARCHITECTURE DIAGRAM ETL stands for Extract, Transform, Load.

Business Intelligence 52

Business Intelligence Business Intelligence ETL Power BI 52

Pickl AI

FEBRUARY 4, 2024

For a deeper dive into data visualization, explore our Understanding Data Visualization course. Is Alteryx an ETL tool? Yes, Alteryx is an ETL (Extract, Transform, Load) tool. It excels in data preparation and analytics, allowing users to extract data from various sources, transform it efficiently.

Data Preparation 52

Data Preparation Tableau Data Visualization Analytics 52

Alation

JANUARY 17, 2023

It is known to have benefits in handling data due to its robustness, speed, and scalability. A typical modern data stack consists of the following: A data warehouse. Data ingestion/integration services. Reverse ETL tools. Data orchestration tools. A Note on the Shift from ETL to ELT.

Data Warehouse 52

Data Warehouse ETL Tableau Cloud Data 52

phData

JULY 17, 2023

In order to fully leverage this vast quantity of collected data, companies need a robust and scalable data infrastructure to manage it. This is where Fivetran and the Modern Data Stack come in. We can also create advanced data science models with this data using AI/ Machine Learning. What is Fivetran?

Data Warehouse 52

Data Warehouse Data Pipeline Cloud Data ETL 52

phData

MAY 11, 2023

With the “Data Productivity Cloud” launch, Matillion has achieved a balance of simplifying source control, collaboration, and dataops by elevating Git integration to a “first-class citizen” within the framework. In Matillion ETL, the Git integration enables an organization to connect to any Git offering (e.g.,

ETL 52

ETL Analytics Analytics Data Models 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

Pickl AI

JUNE 11, 2024

Let’s delve into the key components that form the backbone of a data warehouse: Source Systems These are the operational databases, CRM systems, and other applications that generate the raw data feeding the data warehouse. Data Extraction, Transformation, and Loading (ETL) This is the workhorse of architecture.

Data Warehouse 52

Data Warehouse ETL Data Mining Data Mining 52

ODSC - Open Data Science

APRIL 6, 2023

Data integration tools allow for the combining of data from multiple sources. These are used to extract, transform, and load (ETL) data between different systems. The most popular of these tools are Talend, Informatica, and Apache NiFi.

SQL 98

SQL Data Scientist Database Data Science 98

DataSeries

AUGUST 15, 2024

Knowledge of Core Data Engineering Concepts Ensure one possess a strong foundation in core data engineering concepts, which include data structures, algorithms, database management systems, data modeling , data warehousing , ETL (Extract, Transform, Load) processes, and distributed computing frameworks (e.g.,

Data Engineering 40

Data Engineering Data Engineering Data Engineer Data Engineering 40

phData

DECEMBER 2, 2024

Most Power BI developers are familiar with Power Query , Which is the data transformation layer of Power BI. It allows a developer to perform routine ETL tasks in a low-code/no-code environment using drag-and-drop tools or custom M-Code. What are Dataflows, and Why are They So Great?

Power BI 52

Power BI Data Modeling Data Models Data Visualization 52

Alation

MAY 16, 2023

Data Pipeline Use Cases Here are just a few examples of the goals you can achieve with a robust data pipeline: Data Prep for Visualization Data pipelines can facilitate easier data visualization by gathering and transforming the necessary data into a usable state.

Data Pipeline 69

Data Pipeline Data Governance Data Lakes Data Warehouse 69

Pickl AI

MARCH 19, 2025

Apache Airflow Apache Airflow is a workflow automation tool that allows data engineers to schedule, monitor, and manage data pipelines efficiently. It helps streamline data processing tasks and ensures reliable execution. It helps organisations understand their data better and make informed decisions.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

phData

JUNE 26, 2023

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. While both these tools are powerful on their own, their combined strength offers a comprehensive solution for data analytics.

Tableau 52

Tableau Data Preparation Machine Learning Machine Learning 52

Dataconomy

MARCH 24, 2023

They may also be involved in data modeling and database design. BI developer:  A BI developer is responsible for designing and implementing BI solutions, including data warehouses, ETL processes, and reports. They may also be involved in data integration and data quality assurance.

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Dataconomy

MARCH 24, 2023

They may also be involved in data modeling and database design. BI developer:  A BI developer is responsible for designing and implementing BI solutions, including data warehouses, ETL processes, and reports. They may also be involved in data integration and data quality assurance.

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

phData

SEPTEMBER 4, 2024

ThoughSpot can easily connect to top cloud data platforms such as Snowflake AI Data Cloud , Oracle, SAP HANA, and Google BigQuery. In that case, ThoughtSpot also leverages ELT/ETL tools and Mode, a code-first AI-powered data solution that gives data teams everything they need to go from raw data to the modern BI stack.

Analytics 52

Analytics Analytics SQL ETL 52

AWS Machine Learning Blog

AUGUST 21, 2023

Account A is the data lake account that houses all the ML-ready data obtained through extract, transform, and load (ETL) processes. Account B is the data science account where a group of data scientists compile and run data transformations using SageMaker Data Wrangler. Choose Open Studio.

AWS 98

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AWS Machine Learning Blog

JANUARY 5, 2024

Solution: The Wipro team enriched the drift data by connecting input data with the drift result, which enables triage from drift to monitoring and respective scoring data. Visualizations and dashboards were created using Amazon QuickSight with Amazon Athena as the data source (using the Amazon S3 CSV scoring and drift data).

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Dataconomy

JULY 28, 2023

It is known for its ability to connect to almost any database and offers features like reusable data flows, automating repetitive work. Trifacta Trifacta is a data profiling and wrangling tool that stands out with its rich features and ease of use.

Power BI 91

Power BI Data Preparation Exploratory Data Analysis Machine Learning 91

Tableau

AUGUST 21, 2023

Kuber Sharma Director, Product Marketing, Tableau Kristin Adderson August 22, 2023 - 12:11am August 22, 2023 Whether you're a novice data analyst exploring the possibilities of Tableau or a leader with years of experience using VizQL to gain advanced insights—this is your list of key Tableau features you should know, from A to Z.

Tableau 97

Tableau Database Analytics Analytics 97

phData

OCTOBER 11, 2023

KNIME Analytics Platform is an open-source data analytics tool that enables users to manage, process, and analyze data. Microsoft Power BI has established itself as a premier data visualization product used to turn unrelated data sources into coherent, visually immersive, and interactive insights.

Power BI 45

Power BI Data Preparation Analytics Analytics 45

Pickl AI

AUGUST 9, 2024

Data Integration Tools Technologies such as Apache NiFi and Talend help in the seamless integration of data from various sources into a unified system for analysis. Understanding ETL (Extract, Transform, Load) processes is vital for students. Understanding how to assess model performance is crucial for data scientists.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52