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. Azure SQL Database. Many customers rely on Azure SQL Database as a managed, cloud-hosted version of SQL Server.

Azure 52

Azure Tableau Data Lakes SQL 52

Data Science Dojo

JULY 3, 2024

Tools like Tableau, Power BI, and Python libraries such as Matplotlib and Seaborn are commonly taught. Databases and SQL : Managing and querying relational databases using SQL, as well as working with NoSQL databases like MongoDB. R : Often used for statistical analysis and data visualization.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Pickl AI

MARCH 3, 2025

Key skills include SQL, data visualization, and business acumen. Essential skills include SQL, data visualization, and strong analytical abilities. Technical Skill Development Master SQL for database querying and manipulation. Gain proficiency in data visualization tools like Tableau, Power BI, or Looker.

Business Intelligence 52

Business Intelligence Business Intelligence Data Analyst 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

Pickl AI

FEBRUARY 4, 2024

Unlike SQL, Alteryx offers a visually intuitive approach, allowing users to focus on analysis without being encumbered by technical intricacies. Users can effortlessly extract data from sources like SQL Server, Excel, Tableau, and even social media platforms. Is Alteryx an ETL tool? Is Alteryx similar to Tableau?

Data Preparation 52

Data Preparation Tableau Data Visualization Analytics 52

Pickl AI

JULY 25, 2023

They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. With expertise in programming languages like Python , Java , SQL, and knowledge of big data technologies like Hadoop and Spark, data engineers optimize pipelines for data scientists and analysts to access valuable insights efficiently.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

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. SQL excels with big data and statistics, making it important in order to query databases.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

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

JULY 3, 2023

Here are steps you can follow to pursue a career as a BI Developer: Acquire a solid foundation in data and analytics: Start by building a strong understanding of data concepts, relational databases, SQL (Structured Query Language), and data modeling.

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 52

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

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

Pickl AI

APRIL 26, 2024

It covers essential topics such as SQL queries, data visualization, statistical analysis, machine learning concepts, and data manipulation techniques. Key Takeaways SQL Mastery: Understand SQL’s importance, join tables, and distinguish between SELECT and SELECT DISTINCT. How do you join tables in SQL?

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 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

Alation

APRIL 4, 2023

Compose , Alation’s intelligent SQL editor, enables users to browse data sources as they query, with real-time warnings for untrusted or ungoverned data; Compose lowers the barrier to entry for nontechnical users with features like autocomplete, which generates suggestions as users write queries. Now with this new 2023.1

DataOps 52

DataOps Data Engineering Data Engineering Data Engineering 52

Pickl AI

AUGUST 9, 2024

Data Modelling Tools Tools such as ER/Studio, Oracle SQL Developer Data Modeler, and IBM InfoSphere Data Architect allow users to design and visualise hierarchies within dimensional models.

Data Warehouse 52

Data Warehouse Data Quality ETL Business Intelligence 52

phData

FEBRUARY 5, 2024

The tool converts the templated configuration into a set of SQL commands that are executed against the target Snowflake environment. Instead of manually converting these queries, consider using software built to automate the translation of queries from your legacy systems language to Snowflake’s version, such as phData’s SQL Translation Tool.

SQL 52

SQL Database Data Quality Data Warehouse 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

Alation

JANUARY 25, 2022

Alation partners such as Dataiku, Trifacta, and Tableau are perfect examples. For instance, technical power users can explore the actual data through Compose , the intelligent SQL editor. Those less familiar with SQL can search for technical terms using natural language. But what does integration look like in action?

DataOps 52

DataOps SQL ML ML 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 the differences between SQL and NoSQL databases is crucial for students. Understanding ETL (Extract, Transform, Load) processes is vital for students. Visualisation Tools Familiarity with tools such as Tableau, Power BI, and D3.js js for creating interactive visualisations.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 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

Data Science Blog

JULY 20, 2024

Automatisierung: Erstellt SQL-Code, DACPAC-Dateien, SSIS-Pakete, Data Factory-ARM-Vorlagen und XMLA-Dateien. Vielfältige Unterstützung: Kompatibel mit verschiedenen Datenbankmanagementsystemen wie MS SQL Server und Azure Synapse Analytics. Frontends : Kompatibel mit Tools wie Power BI, Qlik Sense und Tableau.

Azure 130

Azure SQL Power BI Data Lakes 130

Pickl AI

MARCH 19, 2025

Tools like Python, SQL, Apache Spark, and Snowflake help engineers automate workflows and improve efficiency. Python, SQL, and Apache Spark are essential for data engineering workflows. SQL Structured Query Language ( SQL ) is a fundamental skill for data engineers.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52