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. The division between data lakes and data warehouses is stifling innovation. Francois Zimmermann. Brian Dirking.

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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.

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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.

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Tableau Data Warehouse Database Data Analyst 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,

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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.

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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. Von Data Science spricht auf Konferenzen heute kaum noch jemand und wurde hype-technisch komplett durch Machine Learning bzw.

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Big Data Big Data Apache Hadoop Data Science 147

Tableau

FEBRUARY 14, 2022

Director of Research, Tableau. I think one of the most important things I see people do right, is to make sure that you build the data foundation from the ground up correctly,” said Ali Ghodsi, CEO of Databricks. The data lakehouse is one such architecture—with “lake” from data lake and “house” from data warehouse.

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AI AI Tableau Data Scientist 98

Smart Data Collective

OCTOBER 27, 2021

Its built-in machine learning makes it possible for users to gain insights predictive and real-time analytics. 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.

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Analytics Analytics Data Warehouse Business Intelligence 130

Tableau

FEBRUARY 14, 2022

Director of Research, Tableau. I think one of the most important things I see people do right, is to make sure that you build the data foundation from the ground up correctly,” said Ali Ghodsi, CEO of Databricks. The data lakehouse is one such architecture—with “lake” from data lake and “house” from data warehouse.

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AI AI Tableau Data Scientist 95

IBM Journey to AI blog

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

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Data Science Analytics Analytics Data Scientist 94

Women in Big Data

OCTOBER 9, 2024

These procedures are central to effective data management and crucial for deploying machine learning models and making data-driven decisions. The success of any data initiative hinges on the robustness and flexibility of its big data pipeline. What is a Data Pipeline?

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Big Data Big Data Apache Kafka Data Pipeline 59

ODSC - Open Data Science

FEBRUARY 2, 2023

Just as a writer needs to know core skills like sentence structure, grammar, and so on, data scientists at all levels should know core data science skills like programming, computer science, algorithms, and so on. Scikit-learn also earns a top spot thanks to its success with predictive analytics and general machine learning.

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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. This tool automatically detects problems in an ML dataset.

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Exploratory Data Analysis Data Visualization Data Analysis Data Analysis 126

Alation

FEBRUARY 20, 2020

The rise of data lakes, IOT analytics, and big data pipelines has introduced a new world of fast, big data. TrustCheck integrates with the Alation Data Catalog and appears directly within the Alation Compose application as users write queries. With TrustCheck, Alation users can endorse a trusted data source.

Data Governance 52

Data Governance Tableau Analytics Analytics 52

AWS Machine Learning Blog

JULY 29, 2024

SageMaker endpoints can be registered with Salesforce Data Cloud to activate predictions in Salesforce. 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. Ravi Bhattiprolu is a Sr.

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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.

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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

Alation

FEBRUARY 20, 2020

In a nod to AC/DC, a wink to Gartner’s research report, Data Catalogs Are the New Black in Data Management and Analytics , and inspiration from the inaugural Forrester Wave : Machine Learning Data Catalogs , we have temporarily set aside our Alation orange and have been rocking “black” for the Alation MLDC World Tour.

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Machine Learning Machine Learning Analytics Analytics 52

Pickl AI

AUGUST 9, 2024

Data Lake vs. Data Warehouse Distinguishing between these two storage paradigms and understanding their use cases. Students should learn how data lake s can store raw data in its native format, while data warehouses are optimised for structured data.

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Big Data Big Data Big Data Analytics Big Data Analytics 52

ODSC - Open Data Science

APRIL 3, 2023

This pushes into Big Data as well, as many companies now have significant amounts of data and large data lakes that need analyzing. While there’s a need for analyzing smaller datasets on your laptop, expanding into TB+ datasets requires a whole new set of skills and data analytics frameworks.

Analytics 52

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AWS Machine Learning Blog

NOVEMBER 27, 2023

SageMaker endpoints can be registered to the Salesforce Data Cloud to activate predictions in Salesforce. For Data Source , choose Salesforce Data Cloud and Add Connection to import the data lake object. Provide a name for a new Salesforce Data Cloud connection and choose Add connection.

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ML ML AWS SQL 95

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

Database Analytics Analytics Machine Learning 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

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

APRIL 7, 2021

It automatically surfaces clues in the data to remove the manual effort of discovery within the huge volume, variety, and veracity of data produced by the modern enterprise. Alation’s data intelligence comes from user behavior. For example, many enterprises find that data workers only use 5 to 10% of all data.

Data Governance 52

Data Governance AWS Data Silos Data Lakes 52

Mlearning.ai

FEBRUARY 16, 2023

Thus, the solution allows for scaling data workloads independently from one another and seamlessly handling data warehousing, data lakes , data sharing, and engineering. Further, Snowflake enables easy integrations with numerous business intelligence tools, including PowerBI, Looker, and Tableau.

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Data Warehouse Business Intelligence Business Intelligence Database 52

phData

DECEMBER 4, 2023

The software you might use OAuth with includes: Tableau Power BI Sigma Computing If so, you will need an OAuth provider like Okta, Microsoft Azure AD, Ping Identity PingFederate, or a Custom OAuth 2.0 That’s why it’s so valuable to have experienced data engineers on your side, like the ones here at phData.

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Clustering Database SQL Data Pipeline 98

Pickl AI

FEBRUARY 23, 2025

Apache Spark Apache Spark is a unified analytics engine for Big Data processing, with built-in modules for streaming, SQL, Machine Learning , and graph processing. Key Features : Speed : Spark processes data in-memory, making it up to 100 times faster than Hadoop MapReduce in certain applications.

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