Data Science 101

NOVEMBER 29, 2019

Sign Up for the Cloud Data Science Newsletter. Amazon Athena and Aurora add support for ML in SQL Queries You can now invoke Machine Learning models right from your SQL Queries. If you would like to get the Cloud Data Science News as an email, you can sign up for the Cloud Data Science Newsletter.

Cloud Data 115

Cloud Data Data Science Machine Learning Machine Learning 115

Data Science 101

NOVEMBER 11, 2019

Welcome to the first beta edition of Cloud Data Science News. This will cover major announcements and news for doing data science in the cloud. 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.

Cloud Data 95

Cloud Data Data Science Azure Clustering 95

Data Science Blog

SEPTEMBER 19, 2023

By automating the provisioning and management of cloud resources through code, IaC brings a host of advantages to the development and maintenance of Data Warehouse Systems in the cloud. So why using IaC for Cloud Data Infrastructures? apply(([serverName, rgName, dbName]) => { return `Server=tcp:${serverName}.database.windows.net;initial

Data Warehouse 259

Data Warehouse Azure SQL Database 259

insideBIGDATA

JULY 16, 2023

Kinetica, the database for time & space, announced a totally free version of Kinetica Cloud where anyone can sign-up instantly without a credit card to experience Kinetica’s generative AI capabilities to analyze real-time data.

SQL 195

SQL Database AI AI 195

Flipboard

NOVEMBER 27, 2024

The data in Amazon Redshift is transactionally consistent and updates are automatically and continuously propagated. Together with price-performance, Amazon Redshift offers capabilities such as serverless architecture, machine learning integration within your data warehouse and secure data sharing across the organization.

ETL 135

ETL Data Warehouse Analytics Analytics 135

phData

JULY 10, 2024

Sigma Computing , a cloud-based analytics platform, helps data analysts and business professionals maximize their data with collaborative and scalable analytics. One of Sigma’s key features is its support for custom SQL queries and CSV file uploads.

SQL 52

SQL Data Warehouse Analytics Analytics 52

Data Science 101

NOVEMBER 7, 2019

Microsoft just held one of its largest conferences of the year, and a few major announcements were made which pertain to the cloud data science world. Azure Synapse Analytics can be seen as a merge of Azure SQL Data Warehouse and Azure Data Lake. Here they are in my order of importance (based upon my opinion).

Data Science 106

Data Science Azure SQL Machine Learning 106

Smart Data Collective

APRIL 14, 2021

Formerly known as Periscope, Sisense is a business intelligence tool ideal for cloud data teams. With this tool, analysts are able to visualize complex data models in Python, SQL, and R. This highly flexible and modern SQL editor comes bundled with an easy-to-use, attractive interface.

Business Intelligence 138

Business Intelligence Business Intelligence Tableau SQL 138

Alation

FEBRUARY 20, 2020

For many enterprises, a hybrid cloud data lake is no longer a trend, but becoming reality. With a cloud deployment, enterprises can leverage a “pay as you go” model; reducing the burden of incurring capital costs. Due to these needs, hybrid cloud data lakes emerged as a logical middle ground between the two consumption models.

Data Lakes 52

Data Lakes Cloud Data AWS Tableau 52

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 SQL Azure ETL 99

Snorkel AI

MAY 26, 2023

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody.

SQL 52

SQL ML ML Python 52

Snorkel AI

MAY 26, 2023

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody.

SQL 52

SQL ML ML Python 52

Data Science Dojo

SEPTEMBER 11, 2024

In the sales domain, this enables real-time monitoring of live sales activities, offering immediate insights into performance and rapid response to emerging trends or issues. Data Factory: Data Factory enhances the data integration experience by offering support for over 200 native connectors to both on-premises and cloud data sources.

Power BI 233

Power BI Data Pipeline Data Warehouse Data Engineering 233

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. Data Processing and Analysis : Techniques for data cleaning, manipulation, and analysis using libraries such as Pandas and Numpy in Python.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Tableau

JUNE 8, 2021

The division between data lakes and data warehouses is stifling innovation. Nearly three-quarters of the organizations surveyed in the previously mentioned Databricks study split their cloud data landscape into two layers: a data lake and a data warehouse. .

Tableau 102

Tableau Data Lakes Data Warehouse SQL 102

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. A simple event log is therefore a simple table with the minimum requirement of a process number (case ID), a time stamp and an activity description.

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

Mlearning.ai

APRIL 29, 2023

Data Bank runs just like any other digital bank — but it isn’t only for banking activities, they also have the world’s most secure distributed data storage platform! Customers are allocated cloud data storage limits which are directly linked to how much money they have in their accounts. BECOME a WRITER at MLearning.ai

SQL 52

SQL Power BI Cloud Data Data Analysis 52

Smart Data Collective

JUNE 15, 2021

The fact of the matter is Looker will never be able to solve at scale because it must wait for queries to complete on the data warehouse side. This creates a bottleneck as many of the cloud data warehouse solutions are simply too slow to keep up. This should see dashboard load times increase dramatically. Final word.

Data Warehouse 126

Data Warehouse Database SQL Data Analyst 126

IBM Journey to AI blog

SEPTEMBER 11, 2023

Codd published his famous paper “ A Relational Model of Data for Large Shared Data Banks.” 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. Chamberlin and Raymond F.

Database 101

Database SQL Data Warehouse Machine Learning 101

Data Science Dojo

SEPTEMBER 5, 2024

Algorithms and Data Structures : Deep understanding of algorithms and data structures to develop efficient and effective software solutions. Learn computer vision using Python in the cloud Data Science Statistical Knowledge : Expertise in statistics to analyze and interpret data accurately.

Computer Science 195

Computer Science Computer Science Data Science Machine Learning 195

Data Science Dojo

SEPTEMBER 5, 2024

Algorithms and Data Structures : Deep understanding of algorithms and data structures to develop efficient and effective software solutions. Learn computer vision using Python in the cloud Data Science Statistical Knowledge : Expertise in statistics to analyze and interpret data accurately.

Computer Science 195

Computer Science Computer Science Data Science Machine Learning 195

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

Analytics Vidhya

MARCH 10, 2023

Introduction Snowflake is a cloud-based data warehousing platform that enables enterprises to manage vast and complicated information by providing scalable storage and processing capabilities. It is intended to be a fully managed, multi-cloud solution that does not need clients to handle hardware or software.

Analytics 306

Analytics Analytics Data Warehouse Data Engineering 306

phData

AUGUST 1, 2024

A prime example of this is automating repetitive code performed in many models or implementing a new feature introduced in your cloud data warehouse. Scenarios Now, we need to build the SQL statements. In this case, we have to create it before loading the data. In our case, we need to set up the temporary table SQL first.

SQL 52

SQL Database Data Warehouse Cloud Data 52

Flipboard

AUGUST 17, 2023

Amazon Redshift is the most popular cloud data warehouse that is used by tens of thousands of customers to analyze exabytes of data every day. You can use query_string to filter your dataset by SQL and unload it to Amazon S3. If you’re familiar with SageMaker and writing Spark code, option B could be your choice.

ML 123

ML ML AWS Data Warehouse 123

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.

Data Warehouse 147

Data Warehouse Data Lakes Azure AWS 147

IBM Journey to AI blog

MAY 15, 2024

As a result, users boost pipeline performance while ensuring data security and controls. Hybrid cloud data integration Traditional data integration solutions often face latency and scalability challenges when integrating data across hybrid cloud environments.

Data Pipeline 85

Data Pipeline ETL SQL Database 85

Smart Data Collective

APRIL 8, 2020

The data collected in the system may in the form of unstructured, semi-structured, or structured data. This data is then processed, transformed, and consumed to make it easier for users to access it through SQL clients, spreadsheets and Business Intelligence tools.

Data Warehouse 144

Data Warehouse Big Data Big Data Big Data Analytics 144

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

JULY 17, 2023

Over the past few decades, the corporate data landscape has changed significantly. The shift from on-premise databases and spreadsheets to the modern era of cloud data warehouses and AI/ LLMs has transformed what businesses can do with data. Designed to cheaply and efficiently process large quantities of data.

Data Warehouse 52

Data Warehouse Data Pipeline Cloud Data ETL 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

SEPTEMBER 2, 2024

Matillion Jobs are an important part of the modern data stack because we can create lightweight, low-code ETL/ELT processes using a GUI, reverse ETL (loading data back into application databases), LLM usage features, and store and transform data in multiple cloud data warehouses. Below are the best practices.

ETL 52

ETL Data Warehouse SQL Database 52

Alation

NOVEMBER 30, 2022

Alation is the leading platform for data intelligence , delivering critical context about data to empower smarter use; to this end, it centralizes technical, operational, business, and behavioral metadata from a broad variety of sources. Within Slack, she searches for an Alation SQL query about customers by industry.

Tableau 52

Tableau SQL Database Data Analyst 52

phData

MAY 31, 2023

The Snowflake Data Cloud is a powerful and industry-leading cloud data platform. The SQL editor is quite helpful as it allows you to customize your query as needed. When using the Input Data tool, it is crucial to leverage the Pre SQL and Post SQL statements to define the context for the query you want to run.

SQL 52

SQL Database Cloud Data Data Governance 52

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. This process is repeated until the entire text is divided into coherent segments.

Python 52

Python Database SQL Machine Learning 52

Dataconomy

SEPTEMBER 27, 2024

It was my first job as a data analyst. It helped me to become familiar with popular tools such as Excel and SQL and to develop my analytical thinking. The time I spent at Renault helped me realize that data analytics is something I would be interested in pursuing as a full-time career.

Analytics 113

Analytics Analytics Big Data Big Data 113

phData

JUNE 23, 2023

The Snowflake Data Cloud was built natively for the cloud. When we think about cloud data transformations, one crucial building block is User Defined Functions (UDFs). SQL For basic implementations and use cases, SQL UDFs are perfect.

SQL 52

SQL Python Algorithm Big Data 52