phData

APRIL 5, 2023

To get the most out of the Snowflake Data Cloud , however, requires extensive knowledge of SQL and dedicated IT and data engineering teams. The great benefit to an analytics engineering tool such as KNIME is that it does not require any SQL or coding knowledge (although it can certainly be helpful).

SQL 52

SQL Database Analytics Analytics 52

Women in Big Data

MAY 21, 2024

Empowerment: Opening doors to new opportunities and advancing careers, especially for women in data. She highlighted various certification programs, including “Data Analyst,” “Data Scientist,” and “Data Engineer” under Career Certifications. She joined us to share her experience.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

phData

JUNE 14, 2023

In recent years, data engineering teams working with the Snowflake Data Cloud platform have embraced the continuous integration/continuous delivery (CI/CD) software development process to develop data products and manage ETL/ELT workloads more efficiently. What Are the Benefits of CI/CD Pipeline For Snowflake?

Data Pipeline 52

Data Pipeline Database SQL Data Engineering 52

AWS Machine Learning Blog

OCTOBER 9, 2024

To start using CloudWatch anomaly detection, you first must ingest data into CloudWatch and then enable anomaly detection on the log group. Using Amazon Redshift ML for anomaly detection Amazon Redshift ML makes it easy to create, train, and apply machine learning models using familiar SQL commands in Amazon Redshift data warehouses.

AWS 86

AWS ML ML Data Quality 86

phData

MARCH 29, 2023

However, many analysts and other data professionals run into two common problems: They are not given direct access to their database They lack the skills in SQL to write the queries themselves The traditional solution to these problems is to rely on IT and data engineering teams. Only use the data you need.

Database 52

Database SQL Analytics Analytics 52

ODSC - Open Data Science

FEBRUARY 5, 2025

You can watch the full video of this session here and download the slideshere. Real-World Application: Text-to-SQL in Healthcare In his talk, Noe provided a real-world case study on the issue. Previously, consultants spent weeks manually querying data.

Data Preparation 52

Data Preparation AI AI Data Scientist 52

phData

JULY 2, 2024

Snowpark, offered by the Snowflake AI Data Cloud , consists of libraries and runtimes that enable secure deployment and processing of non-SQL code, such as Python, Java, and Scala. Move inside sfguide-data-engineering-with-snowpark-python ( cd sfguide-data-engineering-with-snowpark-python ).

Python 52

Python SQL Data Pipeline ML 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. Download a free PDF by filling out the form.

Database 98

Database SQL Clustering Data Pipeline 98

phData

MARCH 1, 2024

The Snowflake account is set up with a demo database and schema to load data. Sample CSV files (download files here ) Step 1: Load Sample CSV Files Into the Internal Stage Location Open the SQL worksheet and create a stage if it doesn’t exist. Go back to the SQL worksheet and verify if the files exist.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

phData

FEBRUARY 10, 2023

This opens up a data engineer to create their transformation in Snowflake using python code instead of just SQL. A data scientist can create a model to do that classification, saving the analyst time. dbt is a tool to do transformations on data once it is loaded. What is Snowpark Python? Why use dbt?

Python 59

Python Machine Learning Machine Learning SQL 59

Dataconomy

APRIL 27, 2023

They are also designed to handle concurrent access by multiple users and applications, while ensuring data integrity and transactional consistency. Examples of OLTP databases include Oracle Database, Microsoft SQL Server, and MySQL. Final words Back to our original question: What is an online transaction processing database?

Database 159

Database Data Scientist Data Mining Data Mining 159

Alation

MAY 24, 2022

Prime examples of this in the data catalog include: Trust Flags — Allow the data community to endorse, warn, and deprecate data to signal whether data can or can’t be used. Data Profiling — Statistics such as min, max, mean, and null can be applied to certain columns to understand its shape. Read the press release.

Data Quality 98

Data Quality Data Governance ETL Data Observability 98

Alation

NOVEMBER 28, 2022

Alation is excited to unveil Alation Connected Sheets , a new product that brings trusted, fresh data directly to spreadsheet users. Now, “spreadsheet jockeys” can pull the most current, compliant data directly from a range of cloud sources, without having to know SQL or depend on a data team to deliver it.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

AWS Machine Learning Blog

DECEMBER 1, 2023

Download this dataset and store this in an S3 bucket of your choice. Proper data preparation leads to better model performance and more accurate predictions. SageMaker Canvas allows interactive data exploration, transformation, and preparation without writing any SQL or Python code. On the Create menu, choose Document.

Machine Learning 107

Machine Learning Machine Learning Data Preparation ML 107

phData

MAY 25, 2023

Just click this button and fill out the form to download it. The June 2021 release of Power BI Desktop introduced Custom SQL queries to Snowflake in DirectQuery mode. In 2021, Microsoft enabled Custom SQL queries to be run to Snowflake in DirectQuery mode further enhancing the connection capabilities between the platforms.

Power BI 84

Power BI Analytics Analytics Azure 84

phData

APRIL 26, 2024

Overview By harnessing the power of the Snowflake-Spark connector, you’ll learn how to transfer your data efficiently while ensuring compatibility and reliability. Whether you’re a data engineer, analyst, or hobbyist, this blog will equip you with the knowledge and tools to confidently make this migration.

Hadoop 52

Hadoop Clustering AWS Database 52

phData

FEBRUARY 24, 2023

Organizations can unite their siloed data and securely share governed data while executing diverse analytic workloads. Snowflake’s engine provides a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing.

Analytics 52

Analytics Analytics Database Python 52

The MLOps Blog

JANUARY 23, 2023

However, there are some key differences that we need to consider: Size and complexity of the data In machine learning, we are often working with much larger data. Basically, every machine learning project needs data. Given the range of tools and data types, a separate data versioning logic will be necessary.

ML 52

ML ML Data Lakes Machine Learning 52

Alation

OCTOBER 27, 2022

Adrian : Fivetran and dbt enable us to easily connect data sources and write SQL transformations to power downstream dashboards and reporting. Using a catalog with these tools makes it easier for us to share insights and to give end-users helpful data context so they understand what each table or column represents.

Data Analyst 52

Data Analyst Data Scientist Analytics Analytics 52

The MLOps Blog

JUNE 27, 2023

Alignment to other tools in the organization’s tech stack Consider how well the MLOps tool integrates with your existing tools and workflows, such as data sources, data engineering platforms, code repositories, CI/CD pipelines, monitoring systems, etc. This provides end-to-end support for data engineering and MLOps workflows.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

Alation

JUNE 20, 2023

By then I had converted that small Heights data dictionary to the Snowflake sources. But everything CURO was still on SQL. Will: CURO was primarily a Microsoft SQL house and still is in some ways. Who’s using Alation Data Catalog now? Will: Our data engineers and our marketing teams, as well as our software engineers.

Data Governance 52

Data Governance Database SQL Data Engineering 52

phData

NOVEMBER 8, 2023

Mechanisms must be in place to keep this data in sync between your identity provider and your service provider for a seamless user experience. Download this guide to learn how to streamline the onboarding processes for your users and applications! Looking for best practices setting up roles in Snowflake?

SQL 52

SQL Azure Data Engineering Data Engineering 52

DagsHub

OCTOBER 23, 2024

Here’s the structured equivalent of this same data in tabular form: With structured data, you can use query languages like SQL to extract and interpret information. In contrast, such traditional query languages struggle to interpret unstructured data. This text has a lot of information, but it is not structured.

Machine Learning 52

Machine Learning Machine Learning Data Lakes AI 52

Alation

NOVEMBER 28, 2022

But refreshing this analysis with the latest data was impossible… unless you were proficient in SQL or Python. We wanted to make it easy for anyone to pull data and self service without the technical know-how of the underlying database or data lake. They can understand the context of data.

Data Governance 52

Data Governance Database Data Quality Data Lakes 52

Flipboard

DECEMBER 4, 2024

However, building data-driven applications can be challenging. It often requires multiple teams working together and integrating various data sources, tools, and services. For example, creating a targeted marketing app involves data engineers, data scientists, and business analysts using different systems and tools.

Data Lakes 137

Data Lakes Data Warehouse AWS Database 137

phData

OCTOBER 28, 2024

Modern low-code/no-code ETL tools allow data engineers and analysts to build pipelines seamlessly using a drag-and-drop and configure approach with minimal coding. The procedure loads a file into the database from S3, a copy of the processed data in the Snowflake. JV_LANDING_TBL} SELECT * FROM ${JV_STAGING_SCHEMA}.${JV_STAGING_TBL}

Python 52

Python ETL AWS Database 52

phData

JULY 18, 2023

Advanced Analytics: Snowflake’s platform is purposefully engineered to cater to the demands of machine learning and AI-driven data science applications in a cost-effective manner. Additionally, unsupported data sources can be integrated using Fivetran’s cloud function connectors.

Data Warehouse 52

Data Warehouse Analytics Analytics SQL 52

AWS Machine Learning Blog

MARCH 18, 2025

SQL is one of the key languages widely used across businesses, and it requires an understanding of databases and table metadata. This can be overwhelming for nontechnical users who lack proficiency in SQL. This application allows users to ask questions in natural language and then generates a SQL query for the users request.

SQL 81

SQL Database AI AI 81

phData

DECEMBER 11, 2024

A data engineers primary role in ThoughtSpot is to establish data connections for their business and end users to utilize. They are responsible for the design, build, and maintenance of the data infrastructure that powers the analytics platform. Contact us to get expert guidance and make the most of your data.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

ODSC - Open Data Science

DECEMBER 9, 2024

Yet despite these rich capabilities, challenges stillarise The Fragmentation Challenge With so many modular open-source libraries and frameworks now available, effectively stitching together coherent data science application workflows poses a frequent headache for practitioners. This communal ethos ultimately empowers grassroots innovation.

Data Science 40

Data Science Machine Learning Machine Learning Python 40

The MLOps Blog

JUNE 5, 2023

One of the hardest things about MLOps today is that a lot of data scientists aren’t native software engineers, but it may be possible to lower the bar to software engineering. So they download all of the text on the internet, and they train language models to predict all of that text. You’re customer-centric.

ML 52

ML ML Machine Learning Machine Learning 52

AWS Machine Learning Blog

OCTOBER 28, 2024

The workflow includes the following steps: Within the SageMaker Canvas interface, the user composes a SQL query to run against the GCP BigQuery data warehouse. Download the private key JSON file. For information about using data connectors in queries, see Running federated queries.

Machine Learning 100

Machine Learning Machine Learning ML ML 100