Data Science Dojo

JULY 18, 2023

Embeddings and Vector Databases: Gain practical experience in working with vector databases and embeddings, allowing efficient storage and retrieval of vector representations. Deployment of LLM Applications: Learn how to deploy your custom LLM applications using Azure and Hugging Face cloud services.

Data Science 195

Data Science Azure Natural Language Processing Database 195

The MLOps Blog

JUNE 27, 2023

As you delve into the landscape of MLOps in 2023, you will find a plethora of tools and platforms that have gained traction and are shaping the way models are developed, deployed, and monitored. Open-source tools have gained significant traction due to their flexibility, community support, and adaptability to various workflows.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

DataRobot Blog

MARCH 7, 2023

Organizations that want to prove the value of AI by developing, deploying, and managing machine learning models at scale can now do so quickly using the DataRobot AI Platform on Microsoft Azure. DataRobot is available on Azure as an AI Platform Single-Tenant SaaS, eliminating the time and cost of an on-premises implementation.

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Azure Machine Learning Machine Learning AI 59

Pickl AI

DECEMBER 26, 2024

billion in 2023 to USD 1,266.4 Defining Cloud Computing in Data Science Cloud computing provides on-demand access to computing resources such as servers, storage, databases, and software over the Internet. Use tools like AWS Cost Explorer or Azure Cost Management to track expenses and identify anomalies.

Data Science 52

Data Science Cloud Computing Machine Learning Machine Learning 52

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. Why do we need databases?

Data Science 75

Data Science Machine Learning Machine Learning Database 75

ODSC - Open Data Science

APRIL 3, 2023

We looked at over 25,000 job descriptions, and these are the data analytics platforms, tools, and skills that employers are looking for in 2023. Data Wrangling: Data Quality, ETL, Databases, Big Data The modern data analyst is expected to be able to source and retrieve their own data for analysis.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

ODSC - Open Data Science

APRIL 6, 2023

It’s a foundational skill for working with relational databases Just about every data scientist or analyst will have to work with relational databases in their careers. Another boon for efficient work that SQL provides is its simple and consistent syntax that allows for collaboration across multiple databases.

SQL 98

SQL Data Scientist Database Data Science 98

ODSC - Open Data Science

MAY 25, 2023

In particular, we are excited to announce that passes for both ODSC West 2023 and ODSC APAC 2023 are now on sale. ODSC West 2023 The biggest change coming to ODSC West this year is that the conference is now 4 days instead of 3. ODSC APAC 2023 Like in past years, ODSC APAC will be virtual only.

Data Science 52

Data Science Machine Learning Machine Learning Database 52

ODSC - Open Data Science

APRIL 12, 2023

In the weeks since we announced our first group of partners for ODSC East 2023 , we’ve added even more industry-leading organizations and startups helping to shape the future of AI and data science for enterprise. With an emphasis on continuous development, Microsoft Azure is ready to support its clients whatever the future might bring.

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Data Science Azure Deep Learning Deep Learning 97

ODSC - Open Data Science

MAY 5, 2023

Between accessing databases, using frameworks, using applications, and more, a lot of power is needed to run even the simplest algorithms. By using cloud computing, you can easily address a lot of these issues, as many data science cloud options have databases on the cloud that you can access without needing to tinker with your hardware.

Data Science 52

Data Science Data Engineering Data Engineer Data Engineering 52

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

Pickl AI

JANUARY 10, 2025

Many users rely on cloud services for secure data storage; however, as the Handy Recovery Advisor’s latest backup survey notes, even well-established platforms such as Microsoft Azure have weaknesses identified in 2022. Also, in 2023, corporate and institutional data breaches in cloud storage surpassed 360 million cases.

AI 52

AI AI Artificial Intelligence Artificial Intelligence 52

phData

MAY 25, 2023

How to Optimize Power BI and Snowflake for Advanced Analytics Spencer Baucke May 25, 2023 The world of business intelligence and data modernization has never been more competitive than it is today. 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

phData

NOVEMBER 13, 2023

In mid-2023, many companies were wrangling with more than 5,000 dbt models. Source: Coalesce 2023 Product Spotlight and Keynotes With dbt Explorer, you get rid of these problems. Deploy jobs are designed to build into production databases, running sequentially to prevent conflicts. Figure 5: dbt Cloud CLI.

Database 52

Database Business Intelligence Business Intelligence Data Silos 52

Smart Data Collective

OCTOBER 16, 2022

Moreover, by 2023, the figure might reach nearly $600 billion. Some of the popular storage services are Oracle cloud, Amazon, Microsoft Azure, etc. Here, only one server can be used, either physical or virtual, that is, a web server, database, and application. billion by the end of 2022 , growing at a rate of 20.4% Single site.

Cloud Computing 132

Cloud Computing Azure Cloud Data Database 132

phData

JUNE 8, 2023

Power BI Report Builder Limitations Limited documentation and resources (this has been growing since the start of 2023). The data sources with a “*” indicate that they require a Power BI gateway in order to access and share reports on the Power BI service. Can be used to migrate reports from SSRS to Power BI.

Power BI 90

Power BI SQL Azure Database 90

IBM Journey to AI blog

SEPTEMBER 11, 2023

Thus, was born a single database and the relational model for transactions and business intelligence. Db2 (LUW) was born in 1993, and 2023 marks its 30th anniversary. 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

Towards AI

JULY 19, 2023

Last Updated on July 19, 2023 by Editorial Team Author(s): Ricky Costa Originally published on Towards AI. The Vision of St. John on Patmos | Correggio NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER The NLP Cypher | 02.14.21 Heartbreaker Hey Welcome back!

Natural Language Processing 98

Natural Language Processing Azure Python Artificial Intelligence 98

Pickl AI

JANUARY 23, 2023

It supports database independence and uses open-source Breed technology to teach robots using data insights. Azure ML Studio Azure ML Studio is a machine learning framework that helps developers to build different machine learning models as well as the APIs. Pros It is cost effective. Cons Little difficult to learn.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

DagsHub

DECEMBER 11, 2023

Best 8 data version control tools for 2023 (Source: DagsHub ) Introduction With business needs changing constantly and the growing size and structure of datasets, it becomes challenging to efficiently keep track of the changes made to the data, which leads to unfortunate scenarios such as inconsistencies and errors in data.

Machine Learning 98

Machine Learning Machine Learning Data Lakes Data Science 98

ODSC - Open Data Science

MAY 11, 2023

Databases for the Era of Artificial Intelligence Everyone is talking about ChatGPT. But without a vector database, generative AI will not achieve the goal of truly human-like intelligence. In this blog post, we unravel the truth behind the buzz and reveal the limitations that make this project unsuitable for real-world applications.

AI 52

AI AI Data Science Azure 52

ODSC - Open Data Science

MARCH 3, 2023

Open Source Data Exploration Tools You Need to Know, GitHub Codespaces and Copilot, and Meta’s New LLM 11 Open Source Data Exploration Tools You Need to Know in 2023 In this article, we’re going to cover 11 data exploration tools that are specifically designed for exploration and analysis.

Machine Learning 52

Machine Learning Machine Learning Data Scientist Data Science 52

AssemblyAI

OCTOBER 4, 2023

You'll use Semantic Kernel's abstractions to interact with an LLM and store the transcripts in a vector database. The transcripts will be stored in an open-source vector database, Chroma. Alternatively, you can use a different vector database supported by Semantic Kernel. Update the Main method with the following code.

Database 64

Database Azure AI AI 64

Pickl AI

NOVEMBER 4, 2024

They are responsible for building and maintaining data architectures, which include databases, data warehouses, and data lakes. Data Modelling Data modelling is creating a visual representation of a system or database. Physical Models: These models specify how data will be physically stored in databases.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

phData

DECEMBER 4, 2023

More on this topic later; but for now, keep in mind that the simplest method is to create a naming convention for database objects that allows you to identify the owner and associated budget. You can set this value for each database and choose to have non-production data stored for fewer days. authorization server.

Clustering 98

Clustering Database SQL Data Pipeline 98

ODSC - Open Data Science

OCTOBER 9, 2023

Microsoft Azure One of the giants of the cloud computing realm, Microsoft Azure offers a comprehensive suite of AI and machine learning services that are easy to use, scalable, and backed by Microsoft’s commitment to responsible AI. In January 2023, HPE acquired Pachyderm to expand its AI and machine learning offerings.

Machine Learning 52

Machine Learning Machine Learning Data Science AI 52

phData

JULY 5, 2024

In a survey conducted in 2023 , over three-quarters of the executives surveyed believed that artificial intelligence would disrupt their business strategy. When a query, in the form of a vector, is sent to the vector database, the database returns the most similar vectors to the query.

AI 52

AI AI Database AWS 52

IBM Journey to AI blog

AUGUST 3, 2023

The 2023 Cost of a Data Breach report revealed 39% of breached data was stored across multiple types of environments, which was more expensive and difficult to contain than other breaches. Guardium supports deployment on several cloud platforms, including Amazon AWS, Google, IBM Cloud, Microsoft Azure and Oracle OCI.

Azure 71

Azure Database Analytics Analytics 71

Mlearning.ai

FEBRUARY 16, 2023

The solution was built on top of Amazon Web Services and is now available on Google Cloud and Microsoft Azure. Snowflake Database Pros Extensive Storage Opportunities Snowflake provides affordability, scalability, and a user-friendly interface. Let’s look at a brief overview of the most widespread database use cases.

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

phData

SEPTEMBER 15, 2023

Salesforce Sync Out is a crucial tool that enables businesses to transfer data from their Salesforce platform to external systems like Snowflake, AWS S3, and Azure ADLS. Role with usage permissions on the warehouse and the privileges on the database and schema that will be used. What is Salesforce Sync Out?

Data Warehouse 52

Data Warehouse Tableau Data Silos Analytics 52

Pickl AI

NOVEMBER 5, 2024

billion in 2023. Its popularity stems from its user-friendly interface and seamless integration with widely used Microsoft applications like Excel and Azure, making it highly accessible for organisations already using Microsoft products. To provide additional information, the global business intelligence market was valued at USD 29.42

Power BI 52

Power BI Tableau Business Intelligence Business Intelligence 52

The MLOps Blog

JANUARY 23, 2023

But, it is not rare that data engineers and database administrators process, control, and store terabytes of data in projects that are not related to machine learning. Data from different formats, databases, and sources are combined together for modeling. It supports most major cloud providers, such as AWS, GCP, and Azure.

ML 52

ML ML Data Lakes Machine Learning 52

Towards AI

JULY 21, 2023

Last Updated on July 21, 2023 by Editorial Team Author(s): Ricky Costa Originally published on Towards AI. The Vision of St. John on Patmos | Correggio NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER The NLP Cypher | 02.14.21 Heartbreaker Hey Welcome back!

Natural Language Processing 52

Natural Language Processing Azure Python Artificial Intelligence 52

O'Reilly Media

NOVEMBER 28, 2023

Generative AI has been the biggest technology story of 2023. As of November 2023: Two-thirds (67%) of our survey respondents report that their companies are using generative AI. If we asked whether their companies were using databases or web servers, no doubt 100% of the respondents would have said “yes.” of users and 3.9%

AI 137

AI AI Data Analysis Data Analysis 137

Pickl AI

OCTOBER 3, 2024

They evaluate business requirements and decide on the best cloud platform and architecture, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud. Cloud Platforms Familiarity with major cloud platforms such as AWS, Microsoft Azure, and Google Cloud is necessary. from 2024 to 2030.

Cloud Computing 52

Cloud Computing Azure AWS Computer Science 52

The MLOps Blog

OCTOBER 20, 2023

Reading & executing from.sql scripts We can use.sql files that are opened and executed from the notebook through a database connector library. connection_params: A dictionary containing PostgreSQL connection parameters, such as 'host', 'port', 'database', 'user', and 'password'.

SQL 52

SQL Database Data Scientist Python 52

phData

SEPTEMBER 20, 2023

Database Per Domain A popular approach is to utilize a single Snowflake account. In this setup, various domains operate within distinct databases and autonomous compute clusters, each serving as its independent environment. Or any of the various cloud storage buckets could be used (Amazon S3, Azure Blob Storage, etc.)

Data Silos 52

Data Silos Database Data Quality Data Engineer 52