Weekly Office Hours: OML on Autonomous Database - Ask & Learn

Join us on this weekly Office Hours for Oracle Machine Learning on Autonomous Database, where our experts will explore exciting new features, show cool demos, and answer any questions, from simple to complex.

The Oracle Machine Learning product family supports data scientists, analysts, developers, and IT to achieve data science project goals faster while taking full advantage of the Oracle platform.

The Oracle Machine Learning Notebooks offers an easy-to-use, interactive, multi-user, collaborative interface based on Apache Zeppelin notebook technology, and support SQL, PL/SQL, Python and Markdown interpreters. It is available on all Autonomous Database versions and Tiers, including the always-free editions.

OML includes AutoML, which provides automated machine learning algorithm features for algorithm selection, feature selection and model tuning, in addition to a specialized AutoML UI exclusive to the Autonomous Database.

OML Services is also included in Autonomous Database, where you can deploy and manage native in-database OML models as well as ONNX ML models (for classification and regression) built using third-party engines, and can also invoke cognitive text analytics.

Video Highlights
00:28 Topics for the Session: OML4Py REST API
02:33 Demo on OML4Py Notebook using Autonomous Database
02:54 Build SciKit-Learn Random Forest Classifier and Store in OML Data Store
05:09 Oracle Machine Learning Random Forest model build and store
07:54 Scoring code for SciKit Learn RF model
09:34 Scoring code for OML RF model
11:51 Creating both OML4Py Scoring Functions
16:08 Store Scripts for both Scikit Learn and OML model in the OML4Py Script Repository
16:31 Check functionality of Scikit Learn Predict script and OML4Py *Apply() functions
19:29 Check functionality of OML Predict script and OML4Py *Apply() functions
21:34 Accessing predictions from REST APIs - Postman demo
21:58 REST API scoring for SciKit Learn Random Forest Classifier
23:36 REST API scoring for OML Random Forest model
25:08 Q&A

#developer #machine-learning

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Weekly Office Hours: OML on Autonomous Database - Ask & Learn
Ruth  Nabimanya

Ruth Nabimanya

1620633584

System Databases in SQL Server

Introduction

In SSMS, we many of may noticed System Databases under the Database Folder. But how many of us knows its purpose?. In this article lets discuss about the System Databases in SQL Server.

System Database

Fig. 1 System Databases

There are five system databases, these databases are created while installing SQL Server.

  • Master
  • Model
  • MSDB
  • Tempdb
  • Resource
Master
  • This database contains all the System level Information in SQL Server. The Information in form of Meta data.
  • Because of this master database, we are able to access the SQL Server (On premise SQL Server)
Model
  • This database is used as a template for new databases.
  • Whenever a new database is created, initially a copy of model database is what created as new database.
MSDB
  • This database is where a service called SQL Server Agent stores its data.
  • SQL server Agent is in charge of automation, which includes entities such as jobs, schedules, and alerts.
TempDB
  • The Tempdb is where SQL Server stores temporary data such as work tables, sort space, row versioning information and etc.
  • User can create their own version of temporary tables and those are stored in Tempdb.
  • But this database is destroyed and recreated every time when we restart the instance of SQL Server.
Resource
  • The resource database is a hidden, read only database that holds the definitions of all system objects.
  • When we query system object in a database, they appear to reside in the sys schema of the local database, but in actually their definitions reside in the resource db.

#sql server #master system database #model system database #msdb system database #sql server system databases #ssms #system database #system databases in sql server #tempdb system database

Weekly Office Hours: OML on Autonomous Database - Ask & Learn

Join us on this weekly Office Hours for Oracle Machine Learning on Autonomous Database, where our experts will explore exciting new features, show cool demos, and answer any questions, from simple to complex.

The Oracle Machine Learning product family supports data scientists, analysts, developers, and IT to achieve data science project goals faster while taking full advantage of the Oracle platform.

The Oracle Machine Learning Notebooks offers an easy-to-use, interactive, multi-user, collaborative interface based on Apache Zeppelin notebook technology, and support SQL, PL/SQL, Python and Markdown interpreters. It is available on all Autonomous Database versions and Tiers, including the always-free editions.

OML includes AutoML, which provides automated machine learning algorithm features for algorithm selection, feature selection and model tuning, in addition to a specialized AutoML UI exclusive to the Autonomous Database.

OML Services is also included in Autonomous Database, where you can deploy and manage native in-database OML models as well as ONNX ML models (for classification and regression) built using third-party engines, and can also invoke cognitive text analytics.

Video Highlights
00:28 Topics for the Session: OML4Py REST API
02:33 Demo on OML4Py Notebook using Autonomous Database
02:54 Build SciKit-Learn Random Forest Classifier and Store in OML Data Store
05:09 Oracle Machine Learning Random Forest model build and store
07:54 Scoring code for SciKit Learn RF model
09:34 Scoring code for OML RF model
11:51 Creating both OML4Py Scoring Functions
16:08 Store Scripts for both Scikit Learn and OML model in the OML4Py Script Repository
16:31 Check functionality of Scikit Learn Predict script and OML4Py *Apply() functions
19:29 Check functionality of OML Predict script and OML4Py *Apply() functions
21:34 Accessing predictions from REST APIs - Postman demo
21:58 REST API scoring for SciKit Learn Random Forest Classifier
23:36 REST API scoring for OML Random Forest model
25:08 Q&A

#developer #machine-learning

Jerad  Bailey

Jerad Bailey

1598891580

Google Reveals "What is being Transferred” in Transfer Learning

Recently, researchers from Google proposed the solution of a very fundamental question in the machine learning community — What is being transferred in Transfer Learning? They explained various tools and analyses to address the fundamental question.

The ability to transfer the domain knowledge of one machine in which it is trained on to another where the data is usually scarce is one of the desired capabilities for machines. Researchers around the globe have been using transfer learning in various deep learning applications, including object detection, image classification, medical imaging tasks, among others.

#developers corner #learn transfer learning #machine learning #transfer learning #transfer learning methods #transfer learning resources

Siphiwe  Nair

Siphiwe Nair

1625133780

SingleStore: The One Stop Shop For Everything Data

  • SingleStore works toward helping businesses embrace digital innovation by operationalising “all data through one platform for all the moments that matter”

The pandemic has brought a period of transformation across businesses globally, pushing data and analytics to the forefront of decision making. Starting from enabling advanced data-driven operations to creating intelligent workflows, enterprise leaders have been looking to transform every part of their organisation.

SingleStore is one of the leading companies in the world, offering a unified database to facilitate fast analytics for organisations looking to embrace diverse data and accelerate their innovations. It provides an SQL platform to help companies aggregate, manage, and use the vast trove of data distributed across silos in multiple clouds and on-premise environments.

**Your expertise needed! **Fill up our quick Survey

#featured #data analytics #data warehouse augmentation #database #database management #fast analytics #memsql #modern database #modernising data platforms #one stop shop for data #singlestore #singlestore data analytics #singlestore database #singlestore one stop shop for data #singlestore unified database #sql #sql database

Juliana Bryant

Juliana Bryant

1618990704

3 Secrets for a Successful Microsoft Office 365 Migration

Today, businesses across the world are gravitating to Microsoft Office 365 since it offers a host of benefits including excellent collaboration and communication tools, empowers aging IT infrastructure, scalable with your business, best-in-class security and compliance, and many more. However, moving from on-premises Exchange Server to Office 365’s cloud-based program could be challenging. One wrong step and all your confidential business emails could go down the drain.

If you are also employing Exchange Server or IMAP/POP for emails, this informative piece is for you. Take a quick look at some powerful recommendations for migrating from Exchange Server or IMAP/POP to Office 365 with no hassle. Let’s get started.

1. Define your business needs and priorities

Before you opt for Microsoft Office 365 migration services, it’s wise to conduct a deep audit to understand the needs. You should ask yourself what you want to save to the cloud environment. Whether you need the cloud just for email or you want to save your documents and files as well. Regarding your requirements, it is recommended to opt for an Office 365 plan that comes with a file storage option (OneDrive and SharePoint). The reason being is that each user will get 1TB of cloud space to save their documents or create an online backup. Besides this, opting for a bundle of services is affordable as compared to subscribing to an individual service. For instance, email only will cost you $4 user/month, however, the business essential package will cost you only $5 user/month.

2. Choose the right Office 365 plan

Once you have determined your business requirements, you need to opt for a plan that fits perfectly to your requirements. Having a sound knowledge of your business environment and employee requirements enables you to make smart business decisions when opting for an Office 365 plan. However, if you are indecisive about what plan you should opt for, you can seek help from an Office 365 migration consultant.

The best part of Office 365 is that you can mix and match plans tailored to your business requirements and if you later find that you need customization in your selected plan, you can also do the same without any hassle. There are some plans that come with free features like email encryption, while in other subscription plans, you may be required to pay an amount for the same.

3. Plan for migration

Once you have selected the right plan, it’s time to prepare for the migration. For a smooth migration, you may seek help from Office 365 migration experts, if you are not a tech-savvy person. This will not only save you from all the migration hassle, but also ensure error-free migration without data loss or downtime.

Final Words

Undoubtedly, Office 365 migration offers a host of benefits to businesses, but it comes with a slew of risks, if not done properly. Therefore, it is recommended to not do it yourself, if you don’t have prior experience in data migration to the cloud and seek help from seasoned professionals.

#microsoft office 365 #office 365 #microsoft office 365 migration services #office 365 plan #office 365 migration experts #office 365 migration