Introducing Databricks One
databricks
JUNE 12, 2025
The Future of Databricks One This is just the beginning for Databricks One. 160 Spear Street, 15th Floor San Francisco, CA 94105 1-866-330-0121 See Careers at Databricks © Databricks 2025.
Data Warehouse Database Tableau 
CI/CD for Data Pipelines: A Game-Changer with AnalyticsCreator
Data Science Blog
MAY 20, 2024
Enter AnalyticsCreator AnalyticsCreator, a powerful tool for data management, brings a new level of efficiency and reliability to the CI/CD process. It offers full BI-Stack Automation, from source to data warehouse through to frontend. It supports a holistic data model, allowing for rapid prototyping of various models.
Data Pipeline 
262
262 Join 17,000+
professionals
Sign Up for our Newsletter
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Unlock the value of your Azure data with Tableau
Tableau
MARCH 30, 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 102
102 
Fast and Flexible Access to Data with Tableau's Google BigQuery (JDBC) Connector
Tableau
APRIL 3, 2023
Madeleine Corneli Senior Manager, Product Management, Tableau Adiascar Cisneros Manager, Product Management, Tableau Bronwen Boyd April 3, 2023 - 5:27pm April 3, 2023 Google Cloud’s BigQuery is a serverless, highly-scalable cloud-based data warehouse solution that allows users to store, query, and analyze large datasets quickly.
Tableau 98
98 
Top 5 Tools for Building an Interactive Analytics App
Smart Data Collective
OCTOBER 27, 2021
Snowflake provides the right balance between the cloud and data warehousing, especially when data warehouses like Teradata and Oracle are becoming too expensive for their users. It is also easy to get started with Snowflake as the typical complexity of data warehouses like Teradata and Oracle are hidden from the users. .
Analytics 130
130 
Data fabric’s value to the enterprise
Tableau
MAY 11, 2022
VP, Product Management, Tableau. When you work in IT, you see first hand how the increasing business appetite for data stresses existing systems—and even in-flight digital transformations. Data fabric governance assumes a federated environment, so they scale by connecting to new data sources as they emerge. Volker Metten.
Tableau 98
98 
Data fabric’s value to the enterprise
Tableau
MAY 11, 2022
VP, Product Management, Tableau. When you work in IT, you see first hand how the increasing business appetite for data stresses existing systems—and even in-flight digital transformations. Data fabric governance assumes a federated environment, so they scale by connecting to new data sources as they emerge. Volker Metten.
Tableau 98
98 
Unlock the value of your Azure data with Tableau
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
52 
Where Does Tableau Store Data?
phData
JULY 21, 2023
In this world of data-driven, have you ever wondered where this data is stored in Tableau ? Before understanding this data storage, let us know a bit about Tableau. Tableau is one of the most popular data visualization and business intelligence tools that help people see and understand their data.
Tableau 52
52 
Where Does Tableau Store Data?
phData
JULY 21, 2023
In this world of data-driven, have you ever wondered where this data is stored in Tableau ? Before understanding this data storage, let us know a bit about Tableau. Tableau is one of the most popular data visualization and business intelligence tools that help people see and understand their data.
Tableau 52
52 
Increase trust and visibility with data prep and management enhancements
Tableau
SEPTEMBER 13, 2021
Product Manager, Tableau Catalog. Fully realizing your data-driven vision is closer than you think. The Tableau 2021.3 release enhances Tableau Data Management features to provide a trusted environment to prepare, analyze, engage, interact, and collaborate with data. In Tableau 2021.2,
Tableau 102
102 
Increase trust and visibility with data prep and management enhancements
Tableau
SEPTEMBER 13, 2021
Fully realizing your data-driven vision is closer than you think. The Tableau 2021.3 release enhances Tableau Data Management features to provide a trusted environment to prepare, analyze, engage, interact, and collaborate with data. Keep your data fresh with linked tasks for automated prep flows.
Tableau 98
98 
Fast and Flexible Access to Data with Tableau's Google BigQuery (JDBC) Connector
Tableau
APRIL 3, 2023
Madeleine Corneli Senior Manager, Product Management, Tableau Adiascar Cisneros Manager, Product Management, Tableau Bronwen Boyd April 3, 2023 - 5:27pm April 3, 2023 Google Cloud’s BigQuery is a serverless, highly-scalable cloud-based data warehouse solution that allows users to store, query, and analyze large datasets quickly.
Tableau 52
52 
Benefits of Learning Tableau for Data Analysts
Pickl AI
MAY 7, 2024
Summary: Struggling to translate data into clear stories? Tableau can help! This data visualization tool empowers Data Analysts with drag-and-drop simplicity, interactive dashboards, and a wide range of visualizations. What are The Benefits of Learning Tableau for Data Analysts?
Data Analyst 52
52 
15 must-try open source BI software for enhanced data insights
Dataconomy
MAY 10, 2023
Open source business intelligence software provides a cost-effective and flexible way for businesses to access and analyze their data. Data visualization: Open source BI software offers a range of visualization options, including charts, graphs, and dashboards, to help businesses understand their data and make informed decisions.
Data Science Career Paths: Analyst, Scientist, Engineer – What’s Right for You?
How to Learn Machine Learning
APRIL 26, 2025
Each component in this ecosystem is very important in the data-driven decision-making process for an organization. Data Sources and Collection Everything in data science begins with data. Data can be generated from databases, sensors, social media platforms, APIs, logs, and web scraping.
Data Science 52
52 
Best Data Engineering Tools Every Engineer Should Know
Pickl AI
MARCH 19, 2025
Without data engineering , companies would struggle to analyse information and make informed decisions. What Does a Data Engineer Do? A data engineer creates and manages the pipelines that transfer data from different sources to databases or cloud storage. How is Data Engineering Different from Data Science?
Business analytics
Dataconomy
MAY 26, 2025
Data cleansing and integration: Ensuring data quality through processes that contribute to a centralized data repository (data warehouse or data mart). Core functions Their responsibilities typically include: Data collection and analysis: Gathering and interpreting data to aid decision-making.
Analytics 91
91 
11 Open Source Data Exploration Tools You Need to Know in 2023
ODSC - Open Data Science
FEBRUARY 24, 2023
There are many well-known libraries and platforms for data analysis such as Pandas and Tableau, in addition to analytical databases like ClickHouse, MariaDB, Apache Druid, Apache Pinot, Google BigQuery, Amazon RedShift, etc. VisiData works with CSV files, Excel spreadsheets, SQL databases, and many other data sources.
The Modern Data Stack Explained: What The Future Holds
Alation
JANUARY 17, 2023
The modern data stack is a combination of various software tools used to collect, process, and store data on a well-integrated cloud-based data platform. 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.
Top Big Data Tools Every Data Professional Should Know
Pickl AI
FEBRUARY 23, 2025
Statistics : A survey by Databricks revealed that 80% of Spark users reported improved performance in their data processing tasks compared to traditional systems. Google Cloud BigQuery Google Cloud BigQuery is a fully-managed enterprise data warehouse that enables super-fast SQL queries using the processing power of Googles infrastructure.
Big Data 52
52 
5 Common Types of BI & Analytics Platform Migrations
phData
JANUARY 5, 2023
For example, an organization might move its BI platform from an on-premises data warehouse to a cloud-based platform like the Snowflake Data Cloud. This can provide organizations with greater scalability, flexibility, and cost-effectiveness and make it easier to access and analyze data from anywhere, anytime.
Analytics 52
52 
How to Ingest Salesforce Data into Snowflake Using Salesforce Sync Out
phData
SEPTEMBER 15, 2023
For businesses utilizing Salesforce as their Customer Relationship Management (CRM) platform, the Snowflake Data Cloud and Tableau offer an excellent solution for scalable and accurate analytics. In order to unlock the potential of these tools, your CRM data must remain synced between Salesforce and Snowflake.
Discover the Snowflake Architecture With All its Pros and Cons- NIX United
Mlearning.ai
FEBRUARY 16, 2023
The ultimate need for vast storage spaces manifests in data warehouses: specialized systems that aggregate data coming from numerous sources for centralized management and consistency. In this article, you’ll discover what a Snowflake data warehouse is, its pros and cons, and how to employ it efficiently.
BI Tools Comparison to Improve Data Clarity | Women in Big Data
Women in Big Data
DECEMBER 9, 2024
Through a comparative analysis of some of the leading BI tools: Google Looker, Microsoft Power BI, Tableau and Qlik Sense, discover which BI solution best fits your organization’s data analytics needs to empower informed decision-making. Selecting the right one can seem daunting.
Big Data 52
52 
Navigating the Big Data Frontier: A Guide to Efficient Handling
Women in Big Data
OCTOBER 9, 2024
The success of any data initiative hinges on the robustness and flexibility of its big data pipeline. What is a Data Pipeline? A traditional data pipeline is a structured process that begins with gathering data from various sources and loading it into a data warehouse or data lake.
Big Data 59
59 
The 10 Best Business Intelligence Tools For Small And Big Business
Smart Data Collective
JULY 22, 2019
Looker is a data-discovery BI tool that helps companies of different scales find the best business solutions thanks to real-time data access. It can analyze practically any size of data. Its analytics can integrate with different SQL databases and different data warehouses. Tableau Desktop.
What Are The Best Third-Party Data Ingestion Tools For Snowflake?
phData
FEBRUARY 14, 2023
Data integration is essentially the Extract and Load portion of the Extract, Load, and Transform (ELT) process. Data ingestion involves connecting your data sources, including databases, flat files, streaming data, etc, to your data warehouse. Snowflake provides native ways for data ingestion.
Self-Service BI vs Traditional BI: What’s Next?
Alation
MARCH 29, 2022
In the 1970s, data was confined to mainframes and primitive databases. Reports required a formal request of the few who could access that data. The 1980s ushered in the antithesis of this version of computing — personal computing and distributed database management — but also introduced duplicated data and enterprise data silos.
A Comprehensive Guide to Business Intelligence Analysts
Pickl AI
MARCH 3, 2025
Essentially, BI bridges the gap between raw data and actionable knowledge. It gathers information from various sources sales databases, marketing platforms, customer feedback, and more and consolidates it into a unified view. Ensuring data accuracy and consistency through cleansing and validation processes.
Data science vs data analytics: Unpacking the differences
IBM Journey to AI blog
SEPTEMBER 19, 2023
And you should have experience working with big data platforms such as Hadoop or Apache Spark. Additionally, data science requires experience in SQL database coding and an ability to work with unstructured data of various types, such as video, audio, pictures and text.
Data Science 94
94 
How to Optimize the Value of Snowflake
phData
JUNE 11, 2025
Whether you’re running small-scale analytics or managing enterprise-level data warehouses, these tips will help drive performance and meaningful business outcomes for your organization. Storage Costs Our first tip involves taking a closer look at managing how your data is stored, organized, and accessed.
Clustering 59
59 
What Are Business Intelligence Tools
Pickl AI
JANUARY 15, 2025
These tools enable organizations to convert raw data into actionable insights through various means such as reporting, analytics, data visualization, and performance management. Data Processing: Cleaning and organizing data for analysis.
How to Create a Fan 360 Profile with Snowflake & Fivetran
phData
DECEMBER 12, 2023
Snowflake’s built-for-the-cloud architecture is highly performant and designed to handle large volumes of data and data consumers. Because of its cloud architecture, users do not have to worry about the maintenance of the infrastructure and the database going down at an inopportune time.
Alation 2022.3: Alation Anywhere Connecting the Modern Data Stack
Alation
AUGUST 30, 2022
we are introducing Alation Anywhere, extending data intelligence directly to the tools in your modern data stack, starting with Tableau. We continue to make deep investments in governance, including new capabilities in the Stewardship Workbench, a core part of the Data Governance App. Centralization of metadata.
Understanding Business Intelligence Architecture: Key Components
Pickl AI
JANUARY 28, 2025
They encompass all the origins from which data is collected, including: Internal Data Sources: These include databases, enterprise resource planning (ERP) systems, customer relationship management (CRM) systems, and flat files within an organization. Data can be structured (e.g., databases), semi-structured (e.g.,
From zero to BI hero: Launching your business intelligence career
Dataconomy
MARCH 24, 2023
Some of the common career opportunities in BI include: Entry-level roles Data analyst: A data analyst is responsible for collecting and analyzing data, creating reports, and presenting insights to stakeholders. They may also be involved in data modeling and database design.
From zero to BI hero: Launching your business intelligence career
Dataconomy
MARCH 24, 2023
Some of the common career opportunities in BI include: Entry-level roles Data analyst: A data analyst is responsible for collecting and analyzing data, creating reports, and presenting insights to stakeholders. They may also be involved in data modeling and database design.
Alation 2022.1: Customize Your Data Catalog
Alation
MARCH 1, 2022
Lineage helps them identify the source of bad data to fix the problem fast. Manual lineage will give ARC a fuller picture of how data was created between AWS S3 data lake, Snowflake cloud data warehouse and Tableau (and how it can be fixed). Time is money,” said Leonard Kwok, Senior Data Analyst, ARC.
Who is a BI Developer: Role, Responsibilities & Skills
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.
Big Data Syllabus: A Comprehensive Overview
Pickl AI
AUGUST 9, 2024
Velocity It indicates the speed at which data is generated and processed, necessitating real-time analytics capabilities. Businesses need to analyse data as it streams in to make timely decisions. This diversity requires flexible data processing and storage solutions. js for creating interactive visualisations.
Big Data 52
52 
How to Optimize Power BI and Snowflake for Advanced Analytics
phData
MAY 25, 2023
Having gone public in 2020 with the largest tech IPO in history, Snowflake continues to grow rapidly as organizations move to the cloud for their data warehousing needs. One of the easiest ways for Snowflake to achieve this is to have analytics solutions query their data warehouse in real-time (also known as DirectQuery).
Power BI 84
84 
The Data Dilemma: Exploring the Key Differences Between Data Science and Data Engineering
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.
How to Integrate SAP Data With Snowflake
phData
MAY 13, 2024
Built for integration, scalability, governance, and industry-leading security, Snowflake optimizes how you can leverage your organization’s data, providing the following benefits: Built to Be a Source of Truth Snowflake is built to simplify data integration wherever it lives and whatever form it takes.
Database 52
52 
Let's personalize your content