databricks

AUGUST 2, 2023

We're excited to share a new set of security controls and compliance certifications that can help with regulatory compliance on Azure Databricks and.

Azure 245

Azure SQL AWS 245

databricks

APRIL 17, 2024

The next generation of Databricks SQL dashboards, also known as Lakeview Dashboards, is now generally available on AWS and Azure. This new dashboarding experience is optimized for ease of use, scalable and secure distribution, governance, and performance.

Azure 264

Azure SQL AWS 264

Data Science Blog

SEPTEMBER 19, 2023

The following Terraform script will create an Azure Resource Group, a SQL Server, and a SQL Database. Of course, Terraform and the Azure CLI needs to be installed before. Min Pool Size=0;Max Pool Size=30;Persist Security Info=true;`; }); Running the script will need the installation of Python, Pulumi and the Azure CLI.

Data Warehouse 259

Data Warehouse Azure SQL Database 259

AWS Machine Learning Blog

MARCH 10, 2025

We walk through the journey Octus took from managing multiple cloud providers and costly GPU instances to implementing a streamlined, cost-effective solution using AWS services including Amazon Bedrock, AWS Fargate , and Amazon OpenSearch Service. Along the way, it also simplified operations as Octus is an AWS shop more generally.

AWS 115

AWS Database AI AI 115

Data Science Dojo

OCTOBER 31, 2024

Key Skills Proficiency in SQL is essential, along with experience in data visualization tools such as Tableau or Power BI. Additionally, knowledge of cloud platforms (AWS, Google Cloud) and experience with deployment tools (Docker, Kubernetes) are highly valuable. Familiarity with machine learning, algorithms, and statistical modeling.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

Data Science 101

NOVEMBER 11, 2019

Microsoft Azure. Azure Arc You can now run Azure services anywhere (on-prem, on the edge, any cloud) you can run Kubernetes. Azure Synapse Analytics This is the future of data warehousing. SQL Server 2019 SQL Server 2019 went Generally Available. It can be used to do distributed Machine Learning on AWS.

Cloud Data 95

Cloud Data Data Science Azure Clustering 95

Data Science 101

NOVEMBER 7, 2019

Azure Synapse. Azure Synapse Analytics can be seen as a merge of Azure SQL Data Warehouse and Azure Data Lake. Synapse allows one to use SQL to query petabytes of data, both relational and non-relational, with amazing speed. R Support for Azure Machine Learning. Azure Quantum.

Data Science 106

Data Science Azure SQL Machine Learning 106

Data Science 101

FEBRUARY 29, 2020

Google Announces Cloud SQL for Microsoft SQL Server Google’s Cloud SQL now supports SQL Server in addition to PostgreSQL and MySQL Google Opens a new Cloud Region Located in Salt Lake City, Utah, it is named us-west3. Azure Sphere for IoT security goes GA This is a comprehensive security solution for IoT.

Cloud Data 106

Cloud Data Data Science SQL Deep Learning 106

Data Science Connect

JANUARY 27, 2023

Learn SQL: As a data engineer, you will be working with large amounts of data, and SQL is the most commonly used language for interacting with databases. Understanding how to write efficient and effective SQL queries is essential.

Data Engineering 130

Data Engineering Data Engineering Data Engineering Data Engineer 130

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?

Azure 52

Azure Data Engineering Data Engineering Data Engineering 52

Mlearning.ai

APRIL 24, 2023

I just finished learning Azure’s service cloud platform using Coursera and the Microsoft Learning Path for Data Science. In my last consulting job, I was asked to do tasks that Data Factory and Form Recognizer can easily do for AWS/Amazon cloud services. It will take a couple of months but it is worth it!

Azure 52

Azure SQL Database Python 52

Data Science 101

NOVEMBER 29, 2019

Amazon Athena and Aurora add support for ML in SQL Queries You can now invoke Machine Learning models right from your SQL Queries. Use Amazon Sagemaker to add ML predictions in Amazon QuickSight Amazon QuickSight, the AWS BI tool, now has the capability to call Machine Learning models.

Cloud Data 115

Cloud Data Data Science Machine Learning Machine Learning 115

Data Science Blog

NOVEMBER 15, 2023

Example Event Log for Process Mining The following example SQL-query is inserting Event-Activities from a SAP ERP System into an existing event log database table. on Microsoft Azure, AWS, Google Cloud Platform or SAP Dataverse) significantly improve data utilization and drive effective business outcomes. Click to enlarge!

Data Models 245

Data Models Data Modeling Business Intelligence Business Intelligence 245

Pickl AI

NOVEMBER 18, 2024

Industry-recognised certifications, like IBM and AWS, provide credibility. Software like Microsoft Excel and SQL helps them manipulate and query data efficiently. Additionally, familiarity with Machine Learning frameworks and cloud-based platforms like AWS or Azure adds value to their expertise. Who is a Data Analyst?

Data Analyst 110

Data Analyst SQL Python AWS 110

Pickl AI

APRIL 1, 2025

Core skills include networking, security, virtualisation, and proficiency in cloud platforms like AWS, Azure, and GCP. Certifications like AWS Solutions Architect and Azure Solutions Architect boost job prospects. AWS EC2, Azure Virtual Machines). Google App Engine, AWS Lambda).

Cloud Computing 52

Cloud Computing Azure AWS Data Science 52

Smart Data Collective

APRIL 29, 2020

Redshift is the product for data warehousing, and Athena provides SQL data analytics. AWS Glue helps users to build data catalogues, and Quicksight provides data visualisation and dashboard construction. The services from AWS can be catered to meet the needs of each business user. Microsoft Azure. SharePoint.

Data Warehouse 98

Data Warehouse SQL Azure ETL 98

Smart Data Collective

SEPTEMBER 8, 2021

Azure Data Factory : This is a fully managed service that connects to a wide range of On-Premise and Cloud sources. It can easily transform, copy, and enrich the data, finally writing it to Azure data services as a destination. Azure Data Factory also supports Spark, Hadoop, and Machine Learning as transformation steps.

ETL 126

ETL Hadoop Data Warehouse Data Pipeline 126

Smart Data Collective

OCTOBER 19, 2022

You can only deploy DynamoDB on Amazon Web Services (AWS), and it does not support on-premise deployments. With DynamoDB, you are essentially locked into AWS as your cloud provider. MongoDB is deployable anywhere, and the MongoDB Atlas database-as-a-service can be deployed on AWS, Azure, and Google Cloud Platform (GCP).

Big Data 132

Big Data Big Data Database AWS 132

phData

JUNE 5, 2025

Developers can benefit from a file-based development approach to implement business logic in Python, Snowpark, SQL, JavaScript, etc. All Some None My customers span across multiple Cloud Platforms No Yes (AWS and Azure) Yes (AWS, Azure, and GCP) Does the application need load balancing, failure recovery, or replication?

Database 52

Database Azure AWS SQL 52

O'Reilly Media

SEPTEMBER 15, 2021

Cloud certifications, specifically in AWS and Microsoft Azure, were most strongly associated with salary increases. As we’ll see later, cloud certifications (specifically in AWS and Microsoft Azure) were the most popular and appeared to have the largest effect on salaries. The top certification was for AWS (3.9%

AI 145

AI AI Azure AWS 145

Women in Big Data

NOVEMBER 27, 2024

Decide between cloud-based solutions, such as AWS Redshift or Google BigQuery, and on-premises options, while considering scalability and whether a hybrid approach might be beneficial. Its PostgreSQL foundation ensures compatibility with most SQL clients.

Data Warehouse 59

Data Warehouse Big Data Big Data Azure 59

How to Learn Machine Learning

APRIL 26, 2025

The processes of SQL, Python scripts, and web scraping libraries such as BeautifulSoup or Scrapy are used for carrying out the data collection. The responsibilities of this phase can be handled with traditional databases (MySQL, PostgreSQL), cloud storage (AWS S3, Google Cloud Storage), and big data frameworks (Hadoop, Apache Spark).

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

Data Science Dojo

JULY 3, 2024

Big Data Technologies : Handling and processing large datasets using tools like Hadoop, Spark, and cloud platforms such as AWS and Google Cloud. Databases and SQL : Managing and querying relational databases using SQL, as well as working with NoSQL databases like MongoDB.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Pickl AI

FEBRUARY 23, 2025

Apache Spark Apache Spark is a unified analytics engine for Big Data processing, with built-in modules for streaming, SQL, Machine Learning , and graph processing. Google Cloud BigQuery Google Cloud BigQuery is a fully-managed enterprise data warehouse that enables super-fast SQL queries using the processing power of Googles infrastructure.

Big Data 52

Big Data Big Data Apache Hadoop Apache Kafka 52

phData

MAY 25, 2023

In a perfect world, Microsoft would have clients push even more storage and compute to its Azure Synapse platform. Snowflake was originally launched in October 2014, but it wasn’t until 2018 that Snowflake became available on Azure. This ensures the maximum amount of Snowflake consumption possible.

Power BI 84

Power BI Analytics Analytics Azure 84

ODSC - Open Data Science

FEBRUARY 2, 2023

While knowing Python, R, and SQL are expected, you’ll need to go beyond that. As you’ll see in the next section, data scientists will be expected to know at least one programming language, with Python, R, and SQL being the leaders. Cloud Services The only two to make multiple lists were Amazon Web Services (AWS) and Microsoft Azure.

Data Science 98

Data Science Data Scientist Computer Science Computer Science 98

Analytics Vidhya

MARCH 8, 2023

The Biggest Data Science Blogathon is now live! Knowledge is power. Sharing knowledge is the key to unlocking that power.”― Martin Uzochukwu Ugwu Analytics Vidhya is back with the largest data-sharing knowledge competition- The Data Science Blogathon.

Data Science 345

Data Science Analytics Analytics Apache Hadoop 345

Analytics Vidhya

JANUARY 8, 2023

Hey, are you the data science geek who spends hours coding, learning a new language, or just exploring new avenues of data science? If all of these describe you, then this Blogathon announcement is for you! Analytics Vidhya is back with its 28th Edition of blogathon, a place where you can share your knowledge about […].

Data Science 328

Data Science Analytics Analytics Hadoop 328

Pickl AI

MARCH 19, 2025

Tools like Python, SQL, Apache Spark, and Snowflake help engineers automate workflows and improve efficiency. Python, SQL, and Apache Spark are essential for data engineering workflows. SQL Structured Query Language ( SQL ) is a fundamental skill for data engineers.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Analytics Vidhya

JANUARY 11, 2023

Introduction With regard to educating its community about data science, Analytics Vidhya has long been at the forefront. We periodically hold “DataHour” events to increase community interest in studying data science. These webinars are hosted by top industry experts and they teach and democratize data science knowledge.

ML 306

ML ML Data Science Analytics 306

Becoming Human

MAY 15, 2023

One is a scripting language such as Python, and the other is a Query language like SQL (Structured Query Language) for SQL Databases. There is one Query language known as SQL (Structured Query Language), which works for a type of database. SQL Databases are MySQL , PostgreSQL , MariaDB , etc.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

Pickl AI

DECEMBER 25, 2024

Descriptive analytics is a fundamental method that summarizes past data using tools like Excel or SQL to generate reports. Data Analysts dive deeper into raw data, using tools like Excel, Tableau, and SQL to create reports and dashboards. These tools enable professionals to turn raw data into digestible insights quickly.

Data Science 52

Data Science Analytics Analytics Data Scientist 52

phData

APRIL 29, 2024

SQL Server – The SQL Server connector, another widely-used database-type connector, provides similar functionality but is tailored for Microsoft’s SQL Server. Our team frequently configures Fivetran connectors to cloud object storage platforms such as Amazon S3, Azure Blob Storage, and Google Cloud Storage.

SQL 52

SQL Data Warehouse Azure Cloud Data 52

Analytics Vidhya

FEBRUARY 19, 2023

Introduction Google’s BigQuery is a powerful cloud-based data warehouse that provides fast, flexible, and cost-effective data storage and analysis capabilities. One of its unique features is the ability to build and run machine learning models directly inside the database without extracting the data and moving it to another platform.

Machine Learning 270

Machine Learning Machine Learning Data Warehouse Database 270

phData

NOVEMBER 8, 2024

Cost Efficiency and Scalability Open Table Formats are designed to work with cloud storage solutions like Amazon S3, Google Cloud Storage, and Azure Blob Storage, enabling cost-effective and scalable storage solutions. Amazon S3, Azure Data Lake, or Google Cloud Storage).

Data Lakes 52

Data Lakes Data Warehouse Database Azure 52

ODSC - Open Data Science

APRIL 3, 2023

The Modern Data Stack: Apache Spark, Google Bigquery, Oracle Database, Microsoft SQL Server, Snowflake The modern data stack continues to have a big impact, and data analytics roles are no exception. Cloud Services: Google Cloud Platform, AWS, Azure.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

IBM Journey to AI blog

SEPTEMBER 11, 2023

Boyce to create Structured Query Language (SQL). Developers can leverage features like REST APIs, JSON support and enhanced SQL compatibility to easily build cloud-native applications. Db2 can run on Red Hat OpenShift and Kubernetes environments, ROSA & EKS on AWS, and ARO & AKS on Azure deployments.

Database 101

Database SQL Data Warehouse Machine Learning 101