How to Learn Machine Learning

APRIL 26, 2025

Data Scientist: The Predictive Powerhouse The pure data scientists are the most demanded within all the Data Science career paths. This definition specifically describes the Data Scientist as being the predictive powerhouse of the data science ecosystem.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

Tableau

OCTOBER 8, 2021

With its LookML modeling language, Looker provides a unique, modern approach to define governed and reusable data models to build a trusted foundation for analytics. Connecting directly to this semantic layer will help give customers access to critical business data in a safe, governed manner.

Tableau 138

Tableau Analytics Analytics Machine Learning 138

Tableau

JULY 15, 2021

They provide technology solutions that complement Tableau to augment and extend the platform, bringing together all the data that matters for you and your organization. The enterprise cloud data management company helped Tableau customer AmeriPride empower business users with data—ultimately driving profit and company growth.

Tableau 102

Tableau Data Governance Analytics Analytics 102

phData

NOVEMBER 1, 2024

Chief Technology Officer, Information Technology Industry Survey respondents specified easier risk management and more data access to personnel as the top two benefits organizations can expect from moving data into a cloud platform.

Data Governance 52

Data Governance Data Quality ML ML 52

Flipboard

AUGUST 17, 2023

Amazon Redshift is the most popular cloud data warehouse that is used by tens of thousands of customers to analyze exabytes of data every day. With this Spark connector, you can easily ingest data to the feature group’s online and offline store from a Spark DataFrame.

ML 123

ML ML AWS Data Warehouse 123

Smart Data Collective

OCTOBER 17, 2022

If you haven’t already, moving to the cloud can be a realistic alternative. Cloud data warehouses provide various advantages, including the ability to be more scalable and elastic than conventional warehouses. Can’t get to the data. It adds a layer of bureaucracy to data engineering that you may like to avoid.

Big Data 119

Big Data Big Data Data Engineering Data Engineer 119

Alation

NOVEMBER 23, 2021

The same could be said about data governance : ask ten experts to define the term, and you’ll get eleven definitions and perhaps twelve frameworks. However it’s defined, data governance is among the hottest topics in data management. How to Define Data Governance.

Data Governance 52

Data Governance Cloud Data Data Quality Machine Learning 52

Tableau

OCTOBER 8, 2021

With its LookML modeling language, Looker provides a unique, modern approach to define governed and reusable data models to build a trusted foundation for analytics. Connecting directly to this semantic layer will help give customers access to critical business data in a safe, governed manner.

Tableau 98

Tableau Analytics Analytics Machine Learning 98

phData

JUNE 11, 2025

Monitor Credit Usage With Budgets Define Clear Budget Objectives: Clearly define budget objectives and spending limits based on organizational priorities, data usage patterns, and cost-saving initiatives. To ensure effective cost management and resource optimization, align budget definitions with business goals.

Clustering 59

Clustering SQL Database Data Lakes 59

Alation

OCTOBER 18, 2022

Alation is pleased to be named a dbt Metrics Partner and to announce the start of a partnership with dbt, which will bring dbt data into the Alation data catalog. In the modern data stack, dbt is a key tool to make data ready for analysis. Improve data analysis accuracy.

Data Analyst 52

Data Analyst Data Engineering Data Engineer Data Engineering 52

Alation

AUGUST 9, 2021

People need to be able to add related data to their analysis so they can consider additional variables, which often leads to more impactful insights. Adding more data also lets people tell the data story their way – the very definition of being data driven.

Analytics 98

Analytics Analytics Data Warehouse Data Scientist 98

phData

APRIL 3, 2024

Avro is a data serialization framework used to exchange data between systems and languages. Avro stores the data definition in JSON format, which makes it easy to read and interpret. Avro files include markers that can be used to split large data sets into subsets. Step 3: Load the data into a table.

Cloud Data 52

Cloud Data Database 52

Alation

JANUARY 9, 2023

Assessment scores help institutions align people, processes, technology, and data to better map and manage data risks. Alation and Ortecha are both Authorised Partners of the EDM Council for DCAM and the new Cloud Data Management Capabilities framework.

Cloud Data 52

Cloud Data Analytics Analytics 52

Alation

NOVEMBER 30, 2022

Many of these sources include modern data stack tools, including Fivetran and dbt for ELT, Snowflake for cloud data warehousing , and Databricks for lakehouse. However, in order to disseminate intelligence about data, we need to meet users where they are, in the tools where they work.

Tableau 52

Tableau SQL Database Data Analyst 52

Alation

JANUARY 17, 2023

These tools are used to manage big data, which is defined as data that is too large or complex to be processed by traditional means. How Did the Modern Data Stack Get Started? The rise of cloud computing and cloud data warehousing has catalyzed the growth of the modern data stack.

Data Warehouse 52

Data Warehouse ETL Tableau Cloud Data 52

Alation

AUGUST 11, 2022

A modern data stack gives a neat, closed-loop definition of what is needed. If products are well integrated [in a modern data stack], it makes the job easier for the customers to adopt it and solve their business problems. Mitesh: Let’s talk about the trend toward decentralization with a data mesh.

Data Warehouse 52

Data Warehouse Data Engineer Data Engineering Data Engineering 52

IBM Journey to AI blog

SEPTEMBER 13, 2024

Over the past few years, Salesforce has made heavy investments in Data Cloud. Data Cloud works to unlock trapped data by ingesting and unifying data from across the business. In addition, Model Builder makes it possible to build a custom model based on the robust Data Cloud data.

AI 49

AI AI Natural Language Processing Tableau 49

IBM Journey to AI blog

MAY 31, 2023

The difference is found in the definition of edge computing, which states that data is analyzed at the source where data is generated. Connected products, on the other hand, are driven by responses received by sending the data to the cloud.

Internet of Things 112

Internet of Things Analytics Analytics Clustering 112

Alation

APRIL 14, 2022

This two-part series will explore how data discovery, fragmented data governance , ongoing data drift, and the need for ML explainability can all be overcome with a data catalog for accurate data and metadata record keeping. The Cloud Data Migration Challenge. Data pipeline orchestration.

Data Governance 59

Data Governance ML ML Cloud Data 59

Alation

NOVEMBER 17, 2022

After : With Alation as the one-stop source of truth, the Data Platforms team established a new framework, applying standards, policies, and glossaries to their data at the point of use. Now, all data users work from common definitions, and their access is governed by shared policies. So how do you ensure quick wins?

Data Governance 52

Data Governance Cloud Data 52

Tableau

JULY 15, 2021

They provide technology solutions that complement Tableau to augment and extend the platform, bringing together all the data that matters for you and your organization. The enterprise cloud data management company helped Tableau customer AmeriPride empower business users with data—ultimately driving profit and company growth.

Tableau 52

Tableau Data Governance Analytics Analytics 52

phData

JUNE 3, 2024

Snowflake AI Data Cloud has become a premier cloud data warehousing solution. Maybe you’re just getting started looking into a cloud solution for your organization, or maybe you’ve already got Snowflake and are wondering what features you’re missing out on.

Machine Learning 52

Machine Learning Machine Learning Database Cloud Data 52

Alation

OCTOBER 5, 2021

For example, it may be helpful to track specific daily activities or benchmarks for all data-related processes. Numerous committees spend hours deliberating over every word in a Glossary definition, then 6 months down the line leaders complain there hasn’t been enough value shown. Roadblock #2: Data problems and inconsistencies.

Data Governance 96

Data Governance Data Quality Data Silos Analytics 96

Alation

JUNE 22, 2021

What is Data Literacy? Per a recent article on Dataversity , “data literacy is the ability to read, work with, analyze, and argue with data.” While this is an excellent working definition, we believe it’s helpful to think of data literacy by analogy to Maslow’s Hierarchy , where needs (or skills) are layered atop each other.

Data Governance 64

Data Governance Analytics Analytics Decision Science 64

Alation

AUGUST 26, 2021

Data intelligence has thus evolved to answer these questions, and today supports a range of use cases. Examples of Data Intelligence use cases include: Data governance. Cloud Transformation. Cloud Data Migration. Let’s take a closer look at the role of DI in the use case of data governance.

Data Governance 64

Data Governance ML ML Augmented Analytics 64

Pickl AI

JANUARY 31, 2025

Cloud computing is a transformative technology that has reshaped how organisations operate, innovate, and deliver services. As we delve into the world of cloud computing, we will explore its definitions, types, benefits, challenges, and future trends. Key Takeaways Cost efficiency transforms fixed costs into variable expenses.

Cloud Computing 52

Cloud Computing Azure Artificial Intelligence Artificial Intelligence 52

Alation

AUGUST 30, 2022

These range from data sources , including SaaS applications like Salesforce; ELT like Fivetran; cloud data warehouses like Snowflake; and data science and BI tools like Tableau. This expansive map of tools constitutes today’s modern data stack.

Data Governance 52

Data Governance Tableau Data Quality Data Analyst 52

Google Research AI blog

JANUARY 18, 2023

In this context, such models can take the raw output of sensors that are unlike any human senses, such as 3-D point cloud data from Lidar units on autonomous vehicles, and can combine this with data from other sensors, like vehicle cameras, to better understand the environment around them and to make better decisions.

ML 132

ML ML AI AI 132

IBM Journey to AI blog

OCTOBER 16, 2023

Key considerations to ensure data sovereignty are: Leverage cloud provider capabilities by fine-tuning the physical location of each dataset to meet the geo-location of the data.

Data Governance 84

Data Governance Cloud Computing Data Classification Cloud Data 84

phData

JUNE 23, 2023

The Snowflake Data Cloud was built natively for the cloud. When we think about cloud data transformations, one crucial building block is User Defined Functions (UDFs). UDFs in Action Java The following JAVA UDF example demonstrates a simple class definition with public and private methods.

SQL 52

SQL Python Algorithm Big Data 52

phData

MAY 6, 2024

Now, a single customer might use multiple emails or phone numbers, but matching in this way provides a precise definition that could significantly reduce or even eliminate the risk of accidentally associating the actions of multiple customers with one identity.

Data Lakes 52

Data Lakes Data Warehouse Cloud Data Data Quality 52

phData

JANUARY 19, 2024

Matillion is also built for scalability and future data demands, with support for cloud data platforms such as Snowflake Data Cloud , Databricks, Amazon Redshift, Microsoft Azure Synapse, and Google BigQuery, making it future-ready, everyone-ready, and AI-ready.

Data Pipeline 52

Data Pipeline Data Warehouse ETL Azure 52

phData

MAY 25, 2023

One big issue that contributes to this resistance is that although Snowflake is a great cloud data warehousing platform, Microsoft has a data warehousing tool of its own called Synapse. Gateways are being used as another layer of security between Snowflake or cloud data source and Power BI users.

Power BI 84

Power BI Analytics Analytics Azure 84

Alation

JANUARY 25, 2022

Data fabric is now on the minds of most data management leaders. In our previous blog, Data Mesh vs. Data Fabric: A Love Story , we defined data fabric and outlined its uses and motivations. The data catalog is a foundational layer of the data fabric. ” 1.

DataOps 52

DataOps SQL ML ML 52

DataRobot Blog

FEBRUARY 21, 2022

The advantages of mixing R code for some unique libraries and Python code for more general data frame access with common display graphics for both is a big leap forward. Cloud-to-Cloud Data Performance 10 3 to 10 6 Faster. Prior to the 21st Century, most developers owned a “compiler book.”

Data Science 52

Data Science Python Data Scientist Machine Learning 52

phData

JULY 18, 2023

With the birth of cloud data warehouses, data applications, and generative AI , processing large volumes of data faster and cheaper is more approachable and desired than ever. First up, let’s dive into the foundation of every Modern Data Stack, a cloud-based data warehouse.

Data Warehouse 52

Data Warehouse Analytics Analytics Cloud Data 52

phData

AUGUST 22, 2023

LDP Locations In Fivetran’s LDP, a location refers to a specific storage space (database or file storage) where it can replicate data from a source location or storage space where LDP can replicate data to the Target location. WAITING : This state indicates that the job will run at a scheduled time.

Database 52

Database Data Warehouse Cloud Data Analytics 52