Data Science Blog

MAY 10, 2023

Anzeige Data Science und AI sind aufstrebende Arbeitsfelder, die sich mit der Gewinnung von Wissen aus Daten beschäftigen. SQL für Data Science ermöglicht, Daten effektiv zu organisieren und schnell Abfragen zu erstellen, um Antworten auf komplexe Fragen zu finden. Weitere Kurse von Coursera zum Thema Data & AI (link).

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Data Science Blog

JUNE 30, 2023

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. For DATANOMIQ this is a show-case of the coming Data as a Service ( DaaS ) Business. The presentation is currently limited to the current situation on the labor market.

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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.

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Data Warehouse Azure SQL Database 259

AWS Machine Learning Blog

AUGUST 8, 2024

Managing and retrieving the right information can be complex, especially for data analysts working with large data lakes and complex SQL queries. This tool converts questions from data analysts asked in natural language (such as “Which table contains customer address information?”)

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Analytics Vidhya

AUGUST 25, 2022

This article was published as a part of the Data Science Blogathon. Introduction Ever wondered how to query and analyze raw data? This blog post will walk you through the necessary steps to achieve this using Amazon services and tools. Also, have you ever tried doing this with Athena and QuickSight?

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Data Analysis Data Analysis AWS Data Science 378

AWS Machine Learning Blog

JUNE 20, 2024

The data is stored in a data lake and retrieved by SQL using Amazon Athena. The following figure shows a search query that was translated to SQL and run. Data is normally stored in databases, and can be queried using the most common query language, SQL. The challenge is to assure quality.

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SQL Database AWS Machine Learning 104

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.

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Analytics Vidhya

MARCH 10, 2023

Current professionals seeking to transition into the data-tech domain or data science professionals seeking to enhance their career growth and development can also benefit from these sessions. In this blog post, we […] The post Explore the World of Data-Tech with DataHour appeared first on Analytics Vidhya.

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Data Science Analytics Analytics SQL 306

Flipboard

DECEMBER 11, 2024

Organizations are building data-driven applications to guide business decisions, improve agility, and drive innovation. Many of these applications are complex to build because they require collaboration across teams and the integration of data, tools, and services. The following screenshot shows an example of the unified notebook page.

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Pickl AI

APRIL 6, 2023

Accordingly, one of the most demanding roles is that of Azure Data Engineer Jobs that you might be interested in. The following blog will help you know about the Azure Data Engineering Job Description, salary, and certification course. How to Become an Azure Data Engineer?

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AWS Machine Learning Blog

NOVEMBER 20, 2024

Repeat the steps to add another Aurora MySQL data source, called aggregated_sales , for the same database but with the following details in the Sync scope This data source will be used by Amazon Q for answering questions on aggregated sales. Data Engineer at Amazon Ads. For IAM role , choose Create a new service role.

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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. And that´s why you should host any object-centric data model not in a dedicated tool for analysis but centralized on a Data Lakehouse System.

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Data Modeling Data Models Business Intelligence Business Intelligence 245

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.

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Data Engineer Data Engineering Data Engineering 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!

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Data Engineer Data Engineering Data Engineering Data Engineering 52

Pickl AI

FEBRUARY 3, 2023

Structured Query Language, or SQL, is a programming language used to communicate with databases. It means that SQL is the language used for storing, retrieving and manipulating data from relational databases. As a result, you may have a keen interest in finding the best books for SQL. A guidebook written by Allen G.

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SQL Database Data Scientist Data Science 52

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.

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Data Engineer Data Engineering Data Engineering Data Engineering 52

Pickl AI

SEPTEMBER 3, 2024

Summary: The ALTER TABLE command in SQL is used to modify table structures, allowing you to add, delete, or alter columns and constraints. Introduction The ALTER TABLE command in SQL is essential for modifying the structure of existing database tables. Read Blog: Discovering Different Types of Keys in Database Management Systems.

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SQL Database Data Analyst Data Engineer 52

AWS Machine Learning Blog

OCTOBER 24, 2024

Conventional ML development cycles take weeks to many months and requires sparse data science understanding and ML development skills. Business analysts’ ideas to use ML models often sit in prolonged backlogs because of data engineering and data science team’s bandwidth and data preparation activities.

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Pickl AI

SEPTEMBER 19, 2024

Summary: The CASE statement in SQL provides conditional logic within queries, enabling flexible data manipulation. Proper usage and optimisation enhance query performance and adaptability, making it a crucial tool for effective SQL data management. What is a CASE Statement in SQL? ELSE : An optional clause.

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SQL Database Data Analyst Data Analysis 52

Dataconomy

JULY 24, 2023

Whether you’re a seasoned tech professional looking to switch lanes, a fresh graduate planning your career trajectory, or simply someone with a keen interest in the field, this blog post will walk you through the exciting journey towards becoming a data scientist. Machine learning Machine learning is a key part of data science.

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phData

JULY 12, 2023

Unlike traditional methods that rely on complex SQL queries for orchestration, Matillion Jobs provides a more streamlined approach. By converting SQL scripts into Matillion Jobs , users can take advantage of the platform’s advanced features for job orchestration, scheduling, and sharing. With that, let’s dive in!

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SQL ETL Database Data Pipeline 52

phData

APRIL 21, 2023

Unlike traditional methods that rely on complex SQL queries for orchestration, Matillion Jobs provide a more streamlined approach. By converting SQL scripts into Matillion Jobs , users can take advantage of the platform’s advanced features for job orchestration, scheduling, and sharing. In our case, this table is “orders.”

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SQL ETL Database Data Pipeline 52

Data Science Dojo

JULY 3, 2024

In this blog, we will explore the arena of data science bootcamps and lay down a guide for you to choose the best data science bootcamp. What do Data Science Bootcamps Offer? Data Processing and Analysis : Techniques for data cleaning, manipulation, and analysis using libraries such as Pandas and Numpy in Python.

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AWS Machine Learning Blog

DECEMBER 29, 2022

Many of the RStudio on SageMaker users are also users of Amazon Redshift , a fully managed, petabyte-scale, massively parallel data warehouse for data storage and analytical workloads. It makes it fast, simple, and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools.

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phData

FEBRUARY 15, 2023

In this blog, you’ll learn all about our Automated Testing tool including how to leverage it to automatically rerun any number of SQL scripts you’ve written in Matillion to ensure your workflows are working properly. The queries you add in the “SQL Query” column of that grid will be the ones to run automatically.

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SQL Database Data Engineer Data Engineering 52

phData

MARCH 8, 2023

Fivetran, a cloud-based automated data integration platform, has emerged as a leading choice among businesses looking for an easy and cost-effective way to unify their data from various sources. It allows organizations to easily connect their disparate data sources without having to manage any infrastructure.

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Data Warehouse Data Engineer Data Engineering Data Engineering 96

ODSC - Open Data Science

MARCH 6, 2023

In a series of articles, we’d like to share the results so you too can learn more about what the data science community is doing in machine learning. In the first blog, we’re going to discuss the technical side of things, such as what languages and platforms people are using. What areas of machine learning are you interested in?

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Machine Learning Machine Learning Data Science Deep Learning 116

AWS Machine Learning Blog

FEBRUARY 21, 2025

Data exploration and model development were conducted using well-known machine learning (ML) tools such as Jupyter or Apache Zeppelin notebooks. Apache Hive was used to provide a tabular interface to data stored in HDFS, and to integrate with Apache Spark SQL. HBase is employed to offer real-time key-based access to data.

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Data Science AWS Hadoop Data Scientist 70

IBM Data Science in Practice

JANUARY 13, 2025

The blog post explains how the Internal Cloud Analytics team leveraged cloud resources like Code-Engine to improve, refine, and scale the data pipelines. Background One of the Analytics teams tasks is to load data from multiple sources and unify it into a data warehouse. Thus, it has only a minimal footprint.

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IBM Journey to AI blog

OCTOBER 14, 2024

. “ Gen AI has elevated the importance of unstructured data, namely documents, for RAG as well as LLM fine-tuning and traditional analytics for machine learning, business intelligence and data engineering,” says Edward Calvesbert, Vice President of Product Management at IBM watsonx and one of IBM’s resident data experts.

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AI AI Database Data Engineer 78

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.

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IBM Journey to AI blog

MAY 15, 2024

There are several styles of data integration. Data engineers build data pipelines, which are called data integration tasks or jobs, as incremental steps to perform data operations and orchestrate these data pipelines in an overall workflow.

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Towards AI

FEBRUARY 4, 2025

This blog post is an extension of our session, intended to reach a larger audience. Similarly, Function Pools pertains to the collection of functions or SQL templates that are pre-existing within our code base. We were thrilled to see nearly 100 active participants, both in-person and online.

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phData

JULY 4, 2024

Coalesce is a fantastic transformation tool built specifically to run on Snowflake AI Data Cloud. Because it runs Snowflake SQL from an easy-to-use, code-first GUI interface, it can take advantage of everything Snowflake offers, even if the feature is brand new.

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SQL Data Pipeline Data Engineer Data Engineering 52

Data Science Blog

MAY 15, 2023

Data Warehousing ist seit den 1980er Jahren die wichtigste Lösung für die Speicherung und Verarbeitung von Daten für Business Intelligence und Analysen. Mit der zunehmenden Datenmenge und -vielfalt wurde die Verwaltung von Data Warehouses jedoch immer schwieriger und teurer. The post Was ist ein Data Lakehouse?

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Data Warehouse Data Lakes Azure AWS 147

phData

NOVEMBER 8, 2024

Open Table Format (OTF) architecture now provides a solution for efficient data storage, management, and processing while ensuring compatibility across different platforms. In this blog, we will discuss: What is the Open Table format (OTF)? Amazon S3, Azure Data Lake, or Google Cloud Storage). Why should we use it?

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Data Lakes Data Warehouse Database Azure 52

IBM Journey to AI blog

APRIL 29, 2024

Today Velox is in various stages of integration with several data systems including Presto (Prestissimo), Spark (Gluten), PyTorch (TorchArrow), and Apache Arrow. You can read more about why Velox was built in Meta’s engineering blog.

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Clustering SQL Data Engineer Data Engineering 78