Smart Data Collective

APRIL 29, 2020

Usually the term refers to the practices, techniques and tools that allow access and delivery through different fields and data structures in an organisation. Data management approaches are varied and may be categorised in the following: Cloud data management. Master data management.

Data Warehouse 99

Data Warehouse Azure SQL ETL 99

phData

JUNE 11, 2025

The bill presents Charges for serverless features as individual line items, with Snowflake-managed compute resources and Cloud Services charges bundled into a single line item for each serverless feature. We can set the STATEMENT_TIMEOUT_IN_SECONDS parameter to define the maximum time a SQL statement can run before it is canceled.

Clustering 59

Clustering SQL Database Data Lakes 59

phData

NOVEMBER 28, 2024

“ Vector Databases are completely different from your cloud data warehouse.” – You might have heard that statement if you are involved in creating vector embeddings for your RAG-based Gen AI applications. When documents are split into smaller chunks, search systems can find relevant sections more precisely and quickly.

Python 52

Python Database SQL Machine Learning 52

phData

OCTOBER 12, 2022

It comes with a rather lightweight intellisense, and highlights for both SQL and Jinja use. The real power is the ability to run your models and view the outputs, or even have your SQL compiled to verify that your Jinja or SQL compiles into the correct model. Our team of data experts are happy to assist. Reach out today!

SQL 52

SQL Data Warehouse Data Visualization Cloud Data 52

Tableau

OCTOBER 8, 2021

Additionally, Tableau allows customers using BigQuery ML to easily visualize the results of predictive machine learning models run on data stored in BigQuery. This minimizes the amount of SQL you need to write to create and execute models, as well as analyze the results—making machine learning techniques easier to use.

Tableau 138

Tableau Analytics Analytics Machine Learning 138

phData

APRIL 29, 2024

Fivetran enables healthcare organizations to ingest data securely and effectively from a variety of sources into their target destinations, such as Snowflake or other cloud data platforms, for further analytics or curation for sharing data with external providers or customers.

SQL 52

SQL Data Warehouse Azure Cloud Data 52

phData

MARCH 29, 2023

Services such as the Snowflake Data Cloud can house massive amounts of data and allows users to write queries to rapidly transform raw data into reports and further analyses. For somebody who cannot access their database directly or who lacks expert-level skills in SQL, this provides a significant advantage.

Database 52

Database SQL Analytics Analytics 52

phData

MARCH 8, 2023

Fivetran is an automated data integration platform that offers a convenient solution for businesses to consolidate and sync data from disparate data sources. With over 160 data connectors available, Fivetran makes it easy to move data out of, into, and across any cloud data platform in the market.

Data Warehouse 96

Data Warehouse Data Engineering Data Engineer Data Engineering 96

Tableau

OCTOBER 8, 2021

Additionally, Tableau allows customers using BigQuery ML to easily visualize the results of predictive machine learning models run on data stored in BigQuery. This minimizes the amount of SQL you need to write to create and execute models, as well as analyze the results—making machine learning techniques easier to use.

Tableau 98

Tableau Analytics Analytics Machine Learning 98

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. The June 2021 release of Power BI Desktop introduced Custom SQL queries to Snowflake in DirectQuery mode.

Power BI 84

Power BI Analytics Analytics Azure 84

Alation

OCTOBER 27, 2022

Few actors in the modern data stack have inspired the enthusiasm and fervent support as dbt. This data transformation tool enables data analysts and engineers to transform, test and document data in the cloud data warehouse. This graph is an example of one analysis, documented in our internal catalog.

Data Analyst 52

Data Analyst Data Scientist Analytics Analytics 52

phData

MAY 4, 2023

Cloud-Based Computing While Teradata was once successful at managing and analyzing large data sets, the growing volume, variety, and speed of data now require more advanced data analytics provided by cloud-based solutions. You can find more information about the costs here in their documentation section.

SQL 52

SQL Data Warehouse Azure Big Data 52

phData

DECEMBER 4, 2023

However, if there’s one thing we’ve learned from years of successful cloud data implementations here at phData, it’s the importance of: Defining and implementing processes Building automation, and Performing configuration …even before you create the first user account. For greater detail, see the Snowflake documentation.

Clustering 98

Clustering Database SQL Data Pipeline 98

Mlearning.ai

JULY 10, 2023

In my 7 years of Data Science journey, I’ve been exposed to a number of different databases including but not limited to Oracle Database, MS SQL, MySQL, EDW, and Apache Hadoop. Some of the other ways are creating a table 1) using the command line in Google Cloud console, 2) using the APIs, or 3) from Vertex AI Workbench.

SQL 52

SQL Database Apache Hadoop Data Science 52

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

AWS Machine Learning Blog

DECEMBER 1, 2023

SageMaker Canvas allows interactive data exploration, transformation, and preparation without writing any SQL or Python code. Complete the following steps to prepare your data: On the SageMaker Canvas console, choose Data preparation in the navigation pane. On the Create menu, choose Document. Choose Create.

Machine Learning 117

Machine Learning Machine Learning Data Preparation ML 117

Mlearning.ai

FEBRUARY 16, 2023

Data warehousing is a vital constituent of any business intelligence operation. Companies can build Snowflake databases expeditiously and use them for ad-hoc analysis by making SQL queries. Machine Learning Integration Opportunities Organizations harness machine learning (ML) algorithms to make forecasts on the data.

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

Alation

SEPTEMBER 7, 2021

Organizations need to ensure that data use adheres to policies (both organizational and regulatory). In an ideal world, you’d get compliance guidance before and as you use the data. Imagine writing a SQL query or using a BI dashboard with flags & warnings on compliance best practice within your natural workflow.

Data Governance 59

Data Governance Data Scientist Data Quality Data Profiling 59

phData

MARCH 27, 2024

The SnowPro Advanced Administrator Certification targets Snowflake Administrators, Snowflake Data Cloud Administrators, Database Administrators, Cloud Infrastructure Administrators, and Cloud Data Administrators. How Many Days Will It Take to Learn Snowflake?

Data Analyst 52

Data Analyst Data Engineering Data Engineer Data Engineering 52

DataRobot Blog

MARCH 17, 2022

DataRobot AI Cloud 8.0 DataRobot For the AI-driven Business: Empower Your Business with No-Code Solutions that Deliver Timely, Continuous, and Trusted Insights from more of Your Data. DataRobot AI Cloud 8.0 With DataRobot AI Cloud 8.0, for the AI-driven Business appeared first on DataRobot AI Cloud. Learn More.

AI 52

AI AI Machine Learning Machine Learning 52

Pickl AI

APRIL 9, 2025

Real-time processing is essential for applications requiring immediate data insights. Support : Are there resources available for troubleshooting, such as documentation, forums, or customer support? Security : Does the tool ensure data privacy and security during the ETL process?

ETL 52

ETL Data Warehouse AWS Business Intelligence 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

phData

AUGUST 21, 2023

With Fivetran, you can quickly and easily switch between different data warehouse technologies in which to land your data, as well as popular open-source lake formats such as Apache Iceberg. Thanks to SQL-centric transformations, you no longer need to have deep experience in a particular tool or programming language.

Data Warehouse 52

Data Warehouse SQL Cloud Data Database 52

IBM Journey to AI blog

JULY 17, 2023

These encoder-only architecture models are fast and effective for many enterprise NLP tasks, such as classifying customer feedback and extracting information from large documents. While they require task-specific labeled data for fine tuning, they also offer clients the best cost performance trade-off for non-generative use cases.

AI 74

AI AI Machine Learning Machine Learning 74

phData

AUGUST 6, 2024

Organizations must ensure their data pipelines are well designed and implemented to achieve this, especially as their engagement with cloud data platforms such as the Snowflake Data Cloud grows. For customers in Snowflake, Snowpark is a powerful tool for building these effective and scalable data pipelines.

Data Pipeline 52

Data Pipeline Python Data Engineering Data Engineer 52

phData

SEPTEMBER 4, 2024

ThoughtSpot is a cloud-based AI-powered analytics platform that uses natural language processing (NLP) or natural language query (NLQ) to quickly query results and generate visualizations without the user needing to know any SQL or table relations. Why Use ThoughtSpot?

Analytics 52

Analytics Analytics SQL ETL 52

Alation

NOVEMBER 16, 2021

People are Overwhelmed by Too Much Data, with No Means to Govern It at Scale. Data stewards are challenged by an ever-increasing volume of data. They often lack guidance into how to prioritize curation and data documentation efforts. Alation Policy Center empowers data stewards to govern Snowflake data.

Data Governance 52

Data Governance Data Scientist SQL Data Silos 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

FEBRUARY 14, 2023

Data Collector also offers replication and Change Data Capture (CDC) to be able to accurately and efficiently get your data into Snowflake. Data Collector can use Snowflake’s native Snowpipe in its pipelines. Replication of calculated values is not supported during Change Processing.

Data Warehouse 59

Data Warehouse Azure AWS Database 59

phData

MARCH 29, 2024

Founded in 2014 by three leading cloud engineers, phData focuses on solving real-world data engineering, operations, and advanced analytics problems with the best cloud platforms and products. Over the years, one of our primary focuses became Snowflake and migrating customers to this leading cloud data platform.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

AWS Machine Learning Blog

JULY 17, 2023

Amazon Redshift is a fully managed, fast, secure, and scalable cloud data warehouse. Organizations often want to use SageMaker Studio to get predictions from data stored in a data warehouse such as Amazon Redshift. This should return the records successfully for further data processing and analysis.

Clustering 91

Clustering AWS ML ML 91

phData

AUGUST 15, 2023

dbt Labs is a robust platform that allows individuals comfortable with SQL to incorporate software engineering’s best practices into their data transformation pipelines. These practices encompass aspects such as code versioning, testing, documentation, and modular programming. What is dbt?

Data Warehouse 52

Data Warehouse Analytics Analytics Cloud Data 52

phData

MAY 6, 2024

Another benefit of deterministic matching is that the process to build these identities is relatively simple, and tools your teams might already use, like SQL and dbt , can efficiently manage this process within your cloud data warehouse. However, targeted web advertising may only require linkage to a browser or device ID.

Data Lakes 52

Data Lakes Data Warehouse Cloud Data SQL 52