Data Science Dojo

JULY 6, 2023

It enables data engineers to define data models, manage dependencies, and perform automated testing, making it easier to ensure data quality and consistency. Fivetran: Fivetran is a cloud-based data integration platform that simplifies the process of loading data from various sources into a data warehouse or data lake.

Data Engineer 195

Data Engineer Data Engineering Data Engineering Data Engineering 195

Tableau

SEPTEMBER 22, 2022

Chief Product Officer, Tableau. At Dreamforce 2022 , Salesforce Co-CEOs Marc Benioff and Bret Taylor showed us an exciting vision of a connected, data-driven world in the face of rapid, global change. Let’s take a look at all of the product innovations we shared in the Tableau keynote at Dreamforce. Francois Ajenstat.

Tableau 98

Tableau Analytics Analytics AI 98

Tableau

SEPTEMBER 23, 2022

Chief Product Officer, Tableau. At Dreamforce 2022 , Salesforce Co-CEOs Marc Benioff and Bret Taylor showed us an exciting vision of a connected, data-driven world in the face of rapid, global change. Let’s take a look at all of the product innovations we shared in the Tableau keynote at Dreamforce. Francois Ajenstat.

Tableau 98

Tableau Analytics Analytics AI 98

Tableau

DECEMBER 7, 2022

Senior Vice President, Product Marketing, Tableau. Every company today is being asked to do more with less, and leaders need access to fresh, trusted KPIs and data-driven insights to manage their businesses, keep ahead of the competition, and provide unparalleled customer experiences. . All your customer data is instantly accessible.

Tableau 98

Tableau Data Warehouse Data Pipeline Data Visualization 98

Tableau

DECEMBER 7, 2022

Senior Vice President, Product Marketing, Tableau. Every company today is being asked to do more with less, and leaders need access to fresh, trusted KPIs and data-driven insights to manage their businesses, keep ahead of the competition, and provide unparalleled customer experiences. . All your customer data is instantly accessible.

Tableau 98

Tableau Data Warehouse Data Pipeline Data Visualization 98

Alation

FEBRUARY 20, 2020

Architecturally the introduction of Hadoop, a file system designed to store massive amounts of data, radically affected the cost model of data. Organizationally the innovation of self-service analytics, pioneered by Tableau and Qlik, fundamentally transformed the user model for data analysis. Disruptive Trend #1: Hadoop.

Data Lakes 52

Data Lakes Hadoop Tableau Big Data 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

Data Science Blog

JULY 20, 2024

Data Lakes: Unterstützt MS Azure Blob Storage. Frontends : Kompatibel mit Tools wie Power BI, Qlik Sense und Tableau. Pipelines/ETL : Unterstützt Technologien wie SQL Server Integration Services und Azure Data Factory.

Azure 130

Azure SQL Power BI Data Lakes 130

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. This inertia is stifling innovation and preventing data-driven decision-making to take root. . Francois Zimmermann.

Tableau 52

Tableau Data Lakes Data Warehouse SQL 52

Alation

FEBRUARY 20, 2020

For many enterprises, a hybrid cloud data lake is no longer a trend, but becoming reality. Due to these needs, hybrid cloud data lakes emerged as a logical middle ground between the two consumption models. Without business context, business users are less likely to use the data lake and insights will be hard to come by.

Data Lakes 52

Data Lakes Cloud Data AWS Tableau 52

Tableau

OCTOBER 8, 2024

Spencer Czapiewski Southard Jones Chief Product Officer, Tableau Since the announcement of Tableau Next (formerly Tableau Einstein), we've been thrilled by all the enthusiasm and curiosity from our community, customers, and partners. What is Tableau Next and why now?

Tableau 52

Tableau Analytics Analytics Data Lakes 52

Tableau

OCTOBER 8, 2024

Spencer Czapiewski October 8, 2024 - 9:14pm Southard Jones Chief Product Officer, Tableau Since the announcement of Tableau Einstein, we've been thrilled by all the enthusiasm and curiosity from our community, customers, and partners. What is Tableau Einstein and why now?

Tableau 52

Tableau Analytics Analytics Data Lakes 52

Tableau

MARCH 10, 2022

The ability to combine data generated by customer interactions helps organizations better anticipate needs and deliver more integrated and personalized experiences. Businesses meet their customer needs every day using Salesforce CDP and Tableau CRM (TCRM). Tableau CRM can then build and deploy insights to empower organizations.

Tableau 98

Tableau Data Lakes Analytics Analytics 98

Tableau

MARCH 10, 2022

The ability to combine data generated by customer interactions helps organizations better anticipate needs and deliver more integrated and personalized experiences. Businesses meet their customer needs every day using Salesforce CDP and Tableau CRM (TCRM). Tableau CRM can then build and deploy insights to empower organizations.

Tableau 98

Tableau Data Lakes Analytics Analytics 98

Tableau

FEBRUARY 17, 2021

Product Marketing Specialist, Tableau. The newest release of Tableau is here! Tableau 2021.1 Upgrade to take advantage of these new innovations, and learn more about how Tableau brings AI into analytics to help users across your organization answer pressing questions. In Tableau 2021.1, In Tableau 2021.1,

Tableau 52

Tableau Azure Data Quality ML 52

Tableau

DECEMBER 7, 2022

Allison (Ally) Witherspoon Johnston Senior Vice President, Product Marketing, Tableau Bronwen Boyd December 7, 2022 - 11:16pm February 14, 2023 In the quest to become a customer-focused company, the ability to quickly act on insights and deliver personalized customer experiences has never been more important. Up to date. Let’s explore how.

Tableau 55

Tableau Data Warehouse Data Pipeline Data Visualization 55

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

Tableau Data Warehouse Database Data Analyst 98

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

Tableau Data Warehouse Database Data Analyst 98

Tableau

SEPTEMBER 22, 2022

Chief Product Officer, Tableau. At Dreamforce 2022 , Salesforce Co-CEOs Marc Benioff and Bret Taylor showed us an exciting vision of a connected, data-driven world in the face of rapid, global change. Let’s take a look at all of the product innovations we shared in the Tableau keynote at Dreamforce. Francois Ajenstat.

Tableau 52

Tableau Analytics Analytics AI 52

Tableau

APRIL 18, 2022

Senior Manager, Product Marketing, Tableau. By now, you’ve heard the good news: The business world is embracing data-driven decision making and growing their data practices at an unprecedented clip. At Tableau, we believe that the best decisions are made when everyone is empowered to put data at the center of every conversation.

Tableau 102

Tableau Data Quality Analytics Analytics 102

Tableau

APRIL 18, 2022

Senior Manager, Product Marketing, Tableau. By now, you’ve heard the good news: The business world is embracing data-driven decision making and growing their data practices at an unprecedented clip. At Tableau, we believe that the best decisions are made when everyone is empowered to put data at the center of every conversation.

Tableau 98

Tableau Data Quality Analytics Analytics 98

Smart Data Collective

OCTOBER 27, 2021

It is easy to integrate with any existing data pipelines, and it can also stream data from the most popular message buses such as Amazon Kinesis and Kafka. It can also batch load files from data lakes such as Amazon S3 and HDFS.

Analytics 130

Analytics Analytics Data Warehouse Business Intelligence 130

Tableau

FEBRUARY 14, 2022

Director of Research, Tableau. The data lakehouse is one such architecture—with “lake” from data lake and “house” from data warehouse. Vidya Setlur. Kristin Adderson. February 14, 2022 - 6:11pm. February 15, 2022. Editor’s note: This article originally appeared in Forbes.

AI 98

AI AI Tableau Data Scientist 98

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

Big Data Big Data Apache Kafka Data Pipeline 59

Tableau

FEBRUARY 14, 2022

Director of Research, Tableau. The data lakehouse is one such architecture—with “lake” from data lake and “house” from data warehouse. Vidya Setlur. Kristin Adderson. February 14, 2022 - 6:11pm. February 15, 2022. Editor’s note: This article originally appeared in Forbes.

AI 95

AI AI Tableau Data Scientist 95

Data Science Blog

MARCH 14, 2023

Cloud Computing , erst mit den Infrastructure as a Service (IaaS) Angeboten von Amazon, Microsoft und Google, wurde zum Enabler für schnelle, flexible Big Data Architekturen. 2 Denn heute spielt die Definition darüber, was Big Data eigentlich genau ist, wirklich keine Rolle mehr.

Big Data 147

Big Data Big Data Apache Hadoop Data Science 147

Pickl AI

DECEMBER 2, 2024

As organisations grapple with this vast amount of information, understanding the main components of Big Data becomes essential for leveraging its potential effectively. Key Takeaways Big Data originates from diverse sources, including IoT and social media. Data lakes and cloud storage provide scalable solutions for large datasets.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

As organisations grapple with this vast amount of information, understanding the main components of Big Data becomes essential for leveraging its potential effectively. Key Takeaways Big Data originates from diverse sources, including IoT and social media. Data lakes and cloud storage provide scalable solutions for large datasets.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

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.

Exploratory Data Analysis 126

Exploratory Data Analysis Data Visualization Data Analysis Data Analysis 126

IBM Journey to AI blog

SEPTEMBER 19, 2023

js and Tableau Data science, data analytics and IBM Practicing data science isn’t without its challenges. There can be fragmented data, a short supply of data science skills and rigid IT standards for training and deployment. Watsonx comprises of three powerful components: the watsonx.ai

Data Science 94

Data Science Analytics Analytics Data Scientist 94

Alation

FEBRUARY 20, 2020

Tools like MicroStrategy and Tableau make it easy for business users to quickly turn raw data into visualizations and reports. But before you can even start, you have to find a relevant data set, understand it, and trust it. abc/xyz, etc.).

Tableau 52

Tableau Analytics Analytics Data Governance 52

Alation

FEBRUARY 20, 2020

.” We believe that data catalogs become most valuable when they go beyond basic governance for user access and support a deeper framework of integrations that deliver governance for insight. We’ve teamed up with Tableau and MicroStrategy to deliver integrated products to support this approach.

Data Lakes 52

Data Lakes Analytics Analytics Business Intelligence 52

ODSC - Open Data Science

FEBRUARY 2, 2023

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. This pushes into big data as well, as many companies now have significant amounts of data and large data lakes that need analyzing.

Data Science 98

Data Science Data Scientist Computer Science Computer Science 98

AWS Machine Learning Blog

JULY 29, 2024

Ravi works with strategic partners Salesforce and Tableau to deliver innovative and well-architected products and solutions that help joint customers realize their business objectives. He has partnered with Salesforce Data Cloud to align business objectives with innovative AWS solutions to achieve impactful customer experiences.

AWS 120

AWS AI AI ML 120

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. Data Lakes: These store raw, unprocessed data in its original format.

Business Intelligence 52

Business Intelligence Business Intelligence ETL Data Lakes 52

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.

Data Warehouse 52

Data Warehouse Data Lakes Cloud Data Database 52

Alation

FEBRUARY 13, 2020

.” Part of GoDaddy’s transformation was to get the right customer data consolidated in one place and make it accessible to every employee for data-driven decision making. This meant a large Hadoop deployment, self-service analytics tools available to every employee with Tableau, and a data catalog from Alation.

Decision Science 59

Decision Science Analytics Analytics Data Science 59