Data Science Connect

JANUARY 27, 2023

Data engineering is a crucial field that plays a vital role in the data pipeline of any organization. It is the process of collecting, storing, managing, and analyzing large amounts of data, and data engineers are responsible for designing and implementing the systems and infrastructure that make this possible.

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Data Engineering Data Engineering Data Engineer Data Engineering 130

Analytics Vidhya

FEBRUARY 20, 2023

Introduction Azure data factory (ADF) is a cloud-based data ingestion and ETL (Extract, Transform, Load) tool. The data-driven workflow in ADF orchestrates and automates data movement and data transformation.

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Azure ETL Analytics Analytics 249

Data Science Blog

JUNE 30, 2023

DATANOMIQ Jobskills Webapp The whole web app is hosted and deployed on the Microsoft Azure Cloud via CI/CD and Infrastructure as Code (IaC). However, we collect these over time and will make trends secure, for example how the demand for Python, SQL or specific tools such as dbt or Power BI changes. Why we did it?

Data Engineering 130

Data Engineering Data Engineering Data Engineer Data Engineering 130

Pickl AI

NOVEMBER 4, 2024

Summary: The fundamentals of Data Engineering encompass essential practices like data modelling, warehousing, pipelines, and integration. Understanding these concepts enables professionals to build robust systems that facilitate effective data management and insightful analysis. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Data Science Blog

SEPTEMBER 19, 2023

So why using IaC for Cloud Data Infrastructures? For Data Warehouse Systems that often require powerful (and expensive) computing resources, this level of control can translate into significant cost savings. The following Terraform script will create an Azure Resource Group, a SQL Server, and a SQL Database.

Data Warehouse 259

Data Warehouse Azure SQL Database 259

Data Science Blog

JULY 20, 2024

Die Bedeutung effizienter und zuverlässiger Datenpipelines in den Bereichen Data Science und Data Engineering ist enorm. Automatisierung: Erstellt SQL-Code, DACPAC-Dateien, SSIS-Pakete, Data Factory-ARM-Vorlagen und XMLA-Dateien. Data Lakes: Unterstützt MS Azure Blob Storage.

Azure 130

Azure Power BI SQL Data Lakes 130

Pickl AI

SEPTEMBER 5, 2024

Summary: This blog provides a comprehensive roadmap for aspiring Azure Data Scientists, outlining the essential skills, certifications, and steps to build a successful career in Data Science using Microsoft Azure. What is Azure?

Azure 52

Azure Data Scientist Machine Learning Machine Learning 52

Data Science Dojo

JANUARY 27, 2023

Data Science Dojo is offering Airbyte for FREE on Azure Marketplace packaged with a pre-configured web environment enabling you to quickly start the ELT process rather than spending time setting up the environment. Click on the button below to head over to the Azure Marketplace and deploy Airbyte for  FREE  by clicking below:

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Azure Data Science Data Pipeline Data Engineering 370

ODSC - Open Data Science

JANUARY 18, 2024

Data engineering is a rapidly growing field, and there is a high demand for skilled data engineers. If you are a data scientist, you may be wondering if you can transition into data engineering. In this blog post, we will discuss how you can become a data engineer if you are a data scientist.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

phData

AUGUST 17, 2023

In the rapidly evolving landscape of data engineering, Snowflake Data Cloud has emerged as a leading cloud-based data warehousing solution, providing powerful capabilities for storing, processing, and analyzing vast amounts of data. It also allows you to create custom operators to integrate with specific systems.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Pickl AI

JULY 25, 2023

Unfolding the difference between data engineer, data scientist, and data analyst. Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. Data Visualization: Matplotlib, Seaborn, Tableau, etc.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

phData

FEBRUARY 3, 2023

In this blog, we’re going to try our best to remove as much of the uncertainty as possible by walking through the interview process here at phData for Data Engineers. Whether you’re officially job hunting or just curious about what it’s like to interview and work at phData as a Data Engineer, this is the blog for you!

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Data Science Dojo

MAY 18, 2023

Building Enterprise-Grade Q&A Chatbots with Azure OpenAI: In this tutorial, we explore the features of Azure OpenAI and demonstrate how to further improve the platform by fine-tuning some of its models. Getting Started with SQL Programming: Are you starting your journey in data science?

Data Science 195

Data Science AI AI SQL 195

ODSC - Open Data Science

MARCH 30, 2023

Using Azure ML to Train a Serengeti Data Model, Fast Option Pricing with DL, and How To Connect a GPU to a Container Using Azure ML to Train a Serengeti Data Model for Animal Identification In this article, we will cover how you can train a model using Notebooks in Azure Machine Learning Studio.

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Azure ML ML Data Models 52

Data Science Dojo

OCTOBER 31, 2024

They work closely with database administrators to ensure data integrity, develop reporting tools, and conduct thorough analyses to inform business strategies. Their role is crucial in understanding the underlying data structures and how to leverage them for insights. This role builds a foundation for specialization.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

Data Science Dojo

SEPTEMBER 11, 2024

With this full-fledged solution, you don’t have to spend all your time and effort combining different services or duplicating data. OneLake, being built on Azure Data Lake Storage (ADLS), supports various data formats, including Delta, Parquet, CSV, and JSON. On the home page, select Synapse Data Engineering.

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Power BI Data Pipeline Data Warehouse Data Engineering 195

Data Science Blog

SEPTEMBER 3, 2024

Während vor zehn Jahren ich für Celonis noch eine Installation erst einer MS SQL Server Datenbank, etwas später dann bevorzugt eine SAP Hana Datenbank auf einem on-prem Server beim Kunden voraussetzend installieren musste, bevor ich dann zur Installation der Celonis ServerAnwendung selbst kam, ist es heute eine 100% externe Cloud-Lösung.

Data Science 130

Data Science Power BI Azure Data Warehouse 130

Data Science Blog

MAY 15, 2023

Data Lakehouses werden auf Cloud-basierten Objektspeichern wie Amazon S3 , Google Cloud Storage oder Azure Blob Storage aufgebaut. In einem Data Lakehouse werden die Daten in ihrem Rohformat gespeichert, und Transformationen und Datenverarbeitung werden je nach Bedarf durchgeführt. So basieren z.

Data Warehouse 147

Data Warehouse Data Lakes Azure AWS 147

Smart Data Collective

NOVEMBER 8, 2020

This explains the current surge in demand for data engineers, especially in data-driven companies. That said, if you are determined to be a data engineer , getting to know about big data and careers in big data comes in handy. Similarly, various tools used in data engineering revolve around Scala.

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Data Engineering Data Engineering Data Engineer Data Engineering 83

ODSC - Open Data Science

FEBRUARY 2, 2023

Computer Science and Computer Engineering Similar to knowing statistics and math, a data scientist should know the fundamentals of computer science as well. While knowing Python, R, and SQL are expected, you’ll need to go beyond that. Big Data As datasets become larger and more complex, knowing how to work with them will be key.

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Data Science Data Scientist Computer Science Computer Science 98

phData

NOVEMBER 8, 2024

Data Versioning and Time Travel Open Table Formats empower users with time travel capabilities, allowing them to access previous dataset versions. The first insert statement loads data having c_custkey between 30001 and 40000 – INSERT INTO ib_customers2 SELECT *, '11111111111111' AS HASHKEY FROM snowflake_sample_data.tpch_sf1.customer

Data Lakes 52

Data Lakes Data Warehouse Database Azure 52

Data Science 101

FEBRUARY 15, 2020

Azure Cognitive Services Named Entity Recognition gets some new types Persontype, product, event, organization, date are just some of them Amazon Aurora PostgreSQL Supports Machine Learning Aurora PostgreSQL can now use SQL to call ML models created with SageMaker. Google Announces BigQuery Data Challenge. Training and Courses.

Cloud Data 112

Cloud Data Data Science Deep Learning Deep Learning 112

Dataconomy

JUNE 1, 2023

Unified data storage : Fabric’s centralized data lake, Microsoft OneLake, eliminates data silos and provides a unified storage system, simplifying data access and retrieval. This streamlined approach eliminates the need for separate solutions and simplifies data management. Of course not!

Power BI 194

Power BI Data Lakes Azure Data Silos 194

Data Science Blog

NOVEMBER 15, 2023

Simple Data Model for a Process Mining Event Log As part of data engineering, the data traces that indicate process activities are brought into a log-like schema. DATANOMIQ Data Mesh Cloud Architecture – This image is animated! Central data models in a cloud-based Data Mesh Architecture (e.g.

Data Models 245

Data Models Data Modeling Business Intelligence Business Intelligence 245

Data Science Dojo

JULY 3, 2024

Data Processing and Analysis : Techniques for data cleaning, manipulation, and analysis using libraries such as Pandas and Numpy in Python. Databases and SQL : Managing and querying relational databases using SQL, as well as working with NoSQL databases like MongoDB.

Data Science 195

Data Science Machine Learning Machine Learning Data Visualization 195

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. In a perfect world, Microsoft would have clients push even more storage and compute to its Azure Synapse platform.

Power BI 84

Power BI Analytics Analytics Azure 84

ODSC - Open Data Science

APRIL 3, 2023

While a data analyst isn’t expected to know more nuanced skills like deep learning or NLP, a data analyst should know basic data science, machine learning algorithms, automation, and data mining as additional techniques to help further analytics. Cloud Services: Google Cloud Platform, AWS, Azure.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

Pickl AI

JUNE 7, 2024

Integration: Airflow integrates seamlessly with other data engineering and Data Science tools like Apache Spark and Pandas. Comprehensive Data Management: Supports data movement, synchronisation, quality, and management. Scalability: Designed to handle large volumes of data efficiently.

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ETL Data Quality Data Pipeline Data Warehouse 40

phData

SEPTEMBER 2, 2024

Best practices are a pivotal part of any software development, and data engineering is no exception. This ensures the data pipelines we create are robust, durable, and secure, providing the desired data to the organization effectively and consistently.

ETL 52

ETL Data Warehouse SQL Database 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 ).

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Python SQL Data Pipeline ML 52

ODSC - Open Data Science

FEBRUARY 17, 2023

Cloud Computing, APIs, and Data Engineering NLP experts don’t go straight into conducting sentiment analysis on their personal laptops. Data Engineering Platforms Spark is still the leader for data pipelines but other platforms are gaining ground. Knowing some SQL is also essential.

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Deep Learning Deep Learning Data Science Natural Language Processing 111

ODSC - Open Data Science

APRIL 18, 2023

Mini-Bootcamp and VIP Pass holders will have access to four live virtual sessions on data science fundamentals. Confirmed sessions include: An Introduction to Data Wrangling with SQL with Sheamus McGovern, Software Architect, Data Engineer, and AI expert Programming with Data: Python and Pandas with Daniel Gerlanc, Sr.

Data Science 98

Data Science Data Wrangling Machine Learning Machine Learning 98

ODSC - Open Data Science

MAY 26, 2023

We will kick the conference off with a virtual Keynote talk from Henk Boelman, Senior Cloud Advocate at Microsoft, Build and Deploy PyTorch models with Azure Machine Learning. Both virtual and in-person attendees will have a wide range of training sessions, workshops, and talks to choose from.

Data Science 52

Data Science Data Wrangling Machine Learning Machine Learning 52

phData

AUGUST 6, 2024

What is Snowpark and Why Use It for Building Data Pipelines? The Snowpark API includes the DataFrame API and integrates with other popular open-source APIs developers can use to complete data engineering tasks. to collaborate within a single platform.

Data Pipeline 52

Data Pipeline Python Data Engineering Data Engineer 52

phData

DECEMBER 1, 2023

Additionally, review the code pushed by the Data Engineers. Depending on the requirements, it could involve developing Python/Scala/SQL programs on AWS/Azure/Snowflake cloud platforms and setting up CI/CD pipelines for the seamless deployment of the project code. Yes, you heard that right. I do write code daily.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

phData

JANUARY 31, 2024

With Snowflake’s acquisition of Streamlit in 2022, Streamlit applications are now able to be hosted within your Snowflake environment, eliminating the need for extensive knowledge of Docker, Kubernetes, cloud platforms like AWS, GCP, or Azure, authentication and authorization patterns, etc.,

Machine Learning 52

Machine Learning Machine Learning Python Data Scientist 52

phData

AUGUST 4, 2023

The shared-nothing architecture ensures that users don’t have to worry about distributing data across multiple cluster nodes. Snowflake hides user data objects and makes them accessible only through SQL queries through the compute layer. This includes tasks such as data cleansing, enrichment, and aggregation.

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Database Azure SQL AWS 52