phData

JUNE 26, 2023

Two tools that have significantly impacted the data analytics landscape are KNIME and Tableau. Tableau, owned by Salesforce, is a leading tool for data visualization, allowing users to create interactive dashboards and reports for better data understanding and decision-making.

Tableau 52

Tableau Data Preparation Machine Learning Machine Learning 52

Tableau

MARCH 29, 2021

In Tableau 2021.1, Tableau has a breadth of connectors to allow you to plug into all of these solutions and analyze data at every step of its journey, supplying insight to users across your organization. Whether you are a new Azure SQL Database user or are migrating your on-premises SQL Server to the cloud, Tableau is there for you.

Azure 52

Azure Tableau Data Lakes SQL 52

Towards AI

MARCH 21, 2023

PowerBI, Tableau) and programming languages like R and Python in the form of bar graphs, scatter line plots, histograms, and much more. What are ETL and data pipelines? The data pipelines follow the Extract, Transform, and Load (ETL) framework. These visualizations can be done using platforms like software tools (e.g.,

Data Engineer 98

Data Engineer Data Engineering Data Engineering Data Engineering 98

Women in Big Data

OCTOBER 9, 2024

Big data pipelines operate similarly to traditional ETL (Extract, Transform, Load) pipelines but are designed to handle much larger data volumes. 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.

Big Data 59

Big Data Big Data Apache Kafka Data Pipeline 59

Alation

JANUARY 17, 2023

Reverse ETL tools. The modern data stack is also the consequence of a shift in analysis workflow, fromextract, transform, load (ETL) to extract, load, transform (ELT). Later, BI tools such as Chartio, Looker, and Tableau arrived on the data scene. A Note on the Shift from ETL to ELT. Extract, load, Transform (ELT) tools.

Data Warehouse 52

Data Warehouse ETL Tableau Cloud Data 52

Pickl AI

MARCH 3, 2025

Gain proficiency in data visualization tools like Tableau, Power BI, or Looker. Certification and Continuous Learning Pursue certifications like Microsoft Certified Data Analyst Associate, Tableau Certified Data Analyst, or Certified Business Intelligence Professional (CBIP) to demonstrate your expertise.

Business Intelligence 52

Business Intelligence Business Intelligence Data Analyst Data Visualization 52

Pickl AI

JANUARY 15, 2025

ETL (Extract, Transform, Load) Tools ETL tools are crucial for data integration processes. Here are some notable real-world examples of how businesses leverage BI tools: Tableau Tableau is one of the leading BI tools known for its powerful data visualization capabilities.

Business Intelligence 52

Business Intelligence Business Intelligence Power BI Data Visualization 52

Smart Data Collective

MAY 20, 2019

The popular tools, on the other hand, include Power BI, ETL, IBM Db2, and Teradata. SQL programming skills, specific tool experience — Tableau for example — and problem-solving are just a handful of examples. Professionals adept at this skill will be desirable by corporations, individuals and government offices alike.

Analytics 111

Analytics Analytics Data Analyst Machine Learning 111

Dataconomy

JULY 28, 2023

Here are some of the best data preprocessing tools of 2023: Microsoft Power BI Tableau Trifacta Talend Toad Data Point Power Query Microsoft Power BI Microsoft Power BI is a comprehensive data preparation tool that allows users to create reports with multiple complex data sources.

Power BI 91

Power BI Data Preparation Exploratory Data Analysis Machine Learning 91

Pickl AI

FEBRUARY 4, 2024

Users can effortlessly extract data from sources like SQL Server, Excel, Tableau, and even social media platforms. Consider learning alternatives like SQL Server or Tableau through our Introduction to SQL Server and Introduction to Tableau courses. Is Alteryx an ETL tool? Is Alteryx similar to Tableau?

Data Preparation 52

Data Preparation Tableau Data Visualization SQL 52

Data Science Dojo

JULY 3, 2024

Tools like Tableau, Power BI, and Python libraries such as Matplotlib and Seaborn are commonly taught. Data Engineering : Building and maintaining data pipelines, ETL (Extract, Transform, Load) processes, and data warehousing. R : Often used for statistical analysis and data visualization.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Dataconomy

MARCH 24, 2023

BI developer:  A BI developer is responsible for designing and implementing BI solutions, including data warehouses, ETL processes, and reports. Database management:  A BI professional should be able to design and manage databases, including data modeling, ETL processes, and data integration.

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Dataconomy

MARCH 24, 2023

BI developer:  A BI developer is responsible for designing and implementing BI solutions, including data warehouses, ETL processes, and reports. Database management:  A BI professional should be able to design and manage databases, including data modeling, ETL processes, and data integration.

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

phData

AUGUST 9, 2024

It is extremely labor intensive, and the team wants to automate it using Snowflake and Tableau. Snowflake can not natively read files on these services, so an ETL service is needed to upload the data. ETL applications are often expensive and require some level of expertise to run. Financial data is pulled from the ERP.

ETL 52

ETL Data Warehouse Data Governance Tableau 52

Pickl AI

JULY 25, 2023

They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. Data Visualization: Matplotlib, Seaborn, Tableau, etc. ETL Tools: Apache NiFi, Talend, etc. Excel, Tableau, Power BI, SQL Server, MySQL, Google Analytics, etc. Read more to know. Big Data Technologies: Hadoop, Spark, etc.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Pickl AI

JANUARY 28, 2025

This involves several key processes: Extract, Transform, Load (ETL): The ETL process extracts data from different sources, transforms it into a suitable format by cleaning and enriching it, and then loads it into a data warehouse or data lake. What Are Some Common Tools Used in Business Intelligence Architecture?

Business Intelligence 52

Business Intelligence Business Intelligence ETL Data Lakes 52

Pickl AI

JULY 3, 2023

Familiarize yourself with data analysis techniques and tools. Learn BI technologies: Gain proficiency in popular BI tools and technologies such as Microsoft Power BI, Tableau, QlikView, or MicroStrategy.

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 52

ODSC - Open Data Science

APRIL 6, 2023

Think of Tableau, Power BI, and QlikView. These are used to extract, transform, and load (ETL) data between different systems. This allows for it to be integrated with many different tools and technologies to improve data management and analysis workflows. Data integration tools allow for the combining of data from multiple sources.

SQL 98

SQL Data Scientist Database Data Science 98

ODSC - Open Data Science

APRIL 3, 2023

Data Wrangling: Data Quality, ETL, Databases, Big Data The modern data analyst is expected to be able to source and retrieve their own data for analysis. Competence in data quality, databases, and ETL (Extract, Transform, Load) are essential. As you see, there are a number of reporting platforms as expected.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

phData

MAY 3, 2024

Its use cases range from real-time analytics, fraud detection, messaging, and ETL pipelines. It can deliver a high volume of data with latency as low as two milliseconds. It is heavily used in various industries like finance, retail, healthcare, and social media.

Apache Kafka 52

Apache Kafka Analytics Analytics ETL 52

Alation

APRIL 4, 2023

Alation’s approach to the Modern Data Stack This release enhancing data connectivity aligns with our previous release of Alation Anywhere for the MDS , which enables people using Tableau to understand and have confidence in the data they are exploring there. or “is this a legitimate business issue that I need to make my team aware of?”

DataOps 52

DataOps Data Engineering Data Engineering Data Engineering 52

Pickl AI

APRIL 26, 2024

Data Warehousing and ETL Processes What is a data warehouse, and why is it important? Explain the Extract, Transform, Load (ETL) process. The ETL process involves extracting data from source systems, transforming it into a suitable format or structure, and loading it into a data warehouse or target system for analysis and reporting.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Pickl AI

AUGUST 9, 2024

ETL Tools Extract, Transform, Load (ETL) tools like Talend, Informatica, and Apache Nifi enable the integration and transformation of data from source systems into the dimensional model, ensuring that hierarchies are populated correctly.

Data Warehouse 52

Data Warehouse Data Quality ETL Business Intelligence 52

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., Hadoop, Spark).

Data Engineer 40

Data Engineer Data Engineering Data Engineering Data Engineering 40

phData

NOVEMBER 11, 2024

These tasks often go through several stages, similar to the ETL process (Extract, Transform, Load). This led to the creation of a Tableau dashboard that helps users identify non-compliant licenses for timely resolution. If you want more about this use case, please check this link.

Data Analysis 52

Data Analysis Data Analysis Database Analytics 52

phData

FEBRUARY 14, 2023

Matillion Matillion is a complete ETL tool that integrates with an extensive list of pre-built data source connectors, loads data into cloud data environments such as Snowflake, and then performs transformations to make data consumable by analytics tools such as Tableau and PowerBI.

Data Warehouse 59

Data Warehouse Azure AWS Database 59

Pickl AI

AUGUST 11, 2024

ETL Tools Informatica, Talend, and Apache Airflow enable the extraction of data from source systems, transformation into the desired format, and loading into the dimensional model. These tools help streamline the design process and ensure consistency. These tools are essential for populating fact tables with accurate and timely data.

Data Quality 52

Data Quality Data Warehouse Data Governance Analytics 52

Pickl AI

AUGUST 9, 2024

Understanding ETL (Extract, Transform, Load) processes is vital for students. Visualisation Tools Familiarity with tools such as Tableau, Power BI, and D3.js 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.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

phData

FEBRUARY 5, 2024

Matillion Matillion is a complete ETL tool that integrates with an extensive list of pre-built data source connectors, loads data into cloud data environments such as Snowflake, and then performs transformations to make data consumable by analytics tools such as Tableau and PowerBI.

SQL 52

SQL Database Data Quality Data Warehouse 52

Alation

JANUARY 25, 2022

Alation partners such as Dataiku, Trifacta, and Tableau are perfect examples. On the process side, DataOps is essentially an agile and unified approach to building data movements and transformation pipelines (think streaming and modern ETL). See Gartner’s “ How DataOps Amplifies Data and Analytics Business Value ”).

DataOps 52

DataOps SQL ML ML 52

phData

FEBRUARY 29, 2024

database permissions, ETL capability, processing, etc.), it has to be done using custom SQL in Tableau? Hopefully, you don’t run into this scenario because joining and querying multiple tables in Tableau using custom SQL is not recommended due to its impact on performance.

Tableau 52

Tableau SQL Database ETL 52

Tableau

MAY 20, 2021

All of this data is available to explore through our native connector in Tableau Desktop, Server, Online, and Prep. Prepare customer data with Tableau Prep Connector to Salesforce CDP. To realize maximum value from your data without constraining these resources, we introduce the Tableau Prep Native Connector to Salesforce CDP.

Tableau 52

Tableau ETL Data Analysis Data Analysis 52

Alation

FEBRUARY 20, 2020

Self-service analytics tools like Tableau help by democratizing the data analysis process, causing disruption to existing Extract, Transform, and Load (ETL) tools from the likes of Informatica and IBM Datastage.

Data Lakes 40

Data Lakes ETL Data Analyst Data Preparation 40

ODSC - Open Data Science

MARCH 12, 2025

20222024: As AI models required larger and cleaner datasets, interest in data pipelines, ETL frameworks, and real-time data processing surged. Today, data engineering is a major focal point, with organizations investing in robust ETL (Extract, Transform, Load) pipelines, real-time streaming solutions, and cloud-based data platforms.

Data Science 52

Data Science Machine Learning Machine Learning Data Engineering 52

Pickl AI

MARCH 19, 2025

Tableau Tableau is a popular data visualization tool that enables users to create interactive dashboards and reports. Talend Talend is a data integration tool that enables users to extract, transform, and load (ETL) data across different sources. It helps streamline data processing tasks and ensures reliable execution.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Dataconomy

MARCH 7, 2025

Businesses use it for ETL (extract, transform, load) processes, predictive modeling, and statistical analysis , making it a flexible solution for advanced data analysis. Tableau Tableau enhances data visualization with AI-driven analytics , helping users create interactive dashboards, detect patterns, and forecast trends.

AI 91

AI AI Machine Learning Machine Learning 91

Alation

FEBRUARY 20, 2020

Business Intelligence used to require months of effort from BI and ETL teams. Today, you have Tableau, empowering any analyst to create a report. More recently, we’ve seen Extract, Transform and Load (ETL) tools like Informatica and IBM Datastage disrupted by self-service data preparation tools.

ETL 52

ETL Hadoop Tableau Data Scientist 52