AzureFunBytes Episode 48 - @Azure Arc Enabled Data Services with @sqldbawithbeard

We’ve discussed Azure Arc before with people like Thomas Maurer, but this time we’ll focus on Azure Arc-Enabled Data Services. Azure Arc gives you a single platform to manage all of your data services no matter where they are. You can manage your Azure Arc enabled PostgreSQL Hyperscale and your Azure Arc enabled SQL Managed Instance with the Arc Data Controller. With Azure Arc makes it possible to run your Azure data services in your datacenter, at the edge, and in public clouds using Kubernetes and the infrastructure of your choice. You’re not just limited to Azure, you can enable your data from any public cloud you may feel like using. If you need a place to get started learning, there’s tons of great documentation and even some zero to hero training with Azure Arc Jumpstart.

We have a guest every week on the show who helps me learn about all of these Azure subjects. This time we dip into the Microsoft MVP community and get the assistance of Data Platform, Cloud, and Datacenter MVP, Rob Sewell. Rob has done a number of presentations on how Azure Arc can simplify connecting your data anywhere you can find online.

From Rob’s bio on his blog, SQLDBAWithABeard:

Rob was a SQL Server DBA. Now he just helps people with Powershell, Azure, Automation, and Data. He is a Cloud and Data Center MVP and a Data Platform MVP, co-leader of Data South West UK user group and PSConfEU organiser. One of the Admins for Data Saturdays. He is a proud supporter of the Data and Powershell communities. He has a fabulous beard!

Useful Docs:

Get $200 in free Azure Credit - https://cda.ms/219
Microsoft Learn: Introduction to Azure fundamentals - https://cda.ms/243
Microsoft Learn: Manage hybrid infrastructure with Azure Arc - https://cda.ms/243
Azure Arc Overview - https://cda.ms/2cg
AzureFunBytes Episode 42 with Thomas Maurer - https://cda.ms/2cf
What are Azure Arc enabled data services (preview)? - https://cda.ms/2ch
What is Azure Arc enabled PostgreSQL Hyperscale? - https://cda.ms/2cj
Azure Arc enabled SQL Managed Instance Overview - https://cda.ms/2ck
Create the Azure Arc data controller - https://cda.ms/2cm
Azure Arc enabled data services - https://cda.ms/2cn
Azure Arc Jumpstart - https://azurearcjumpstart.io/overview/
Azure Arc–enabled data services PREVIEW - https://cda.ms/2cp
Azure Arc-Enabled Data Services Revealed - https://www.apress.com/de/book/9781484267042
Pluralsight: Azure Arc Training by Ben Weissman - https://app.pluralsight.com/profile/author/ben-weissman

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AzureFunBytes Episode 48 - @Azure Arc Enabled Data Services with @sqldbawithbeard
Ruth  Nabimanya

Ruth Nabimanya

1624850863

Azure Data Catalog: A Quick Introduction to Data Handling Service Around

What is Azure Data Catalog?

Azure Data Catalog is a Data Catalog cloud service of Microsoft using a crowdsourced approach. It provides an inventory of data used for discovering and understanding the data sources. Microsoft Azure is a Software as a Service (SaaS) application.

“Build Confidence in Azure Data Catalog even having more than millions of accounts”

**Source: **Gartner, Inc

Azure Data Catalog enhances old investments’ performance, adding metadata and notation around the Azure environment’s data. It informs about the Data sources which we have discovered or which we already have. It expresses documentation and describes the schema of the data source. The data source location and a copy of the metadata are present in the Azure Data Catalog. The user can access it easily when needed, and the indexing of metadata helps discover data through a search.### What is Azure Data Catalog?

Azure Data Catalog is a Data Catalog cloud service of Microsoft using a crowdsourced approach. It provides an inventory of data used for discovering and understanding the data sources. Microsoft Azure is a Software as a Service (SaaS) application.

“Build Confidence in Azure Data Catalog even having more than millions of accounts”

**Source: **Gartner, Inc

Azure Data Catalog enhances old investments’ performance, adding metadata and notation around the Azure environment’s data. It informs about the Data sources which we have discovered or which we already have. It expresses documentation and describes the schema of the data source. The data source location and a copy of the metadata are present in the Azure Data Catalog. The user can access it easily when needed, and the indexing of metadata helps discover data through a search.

#big data engineering #blogs #azure data catalog: a quick introduction to data handling service around #azure data catalog #data handling service around #service

Siphiwe  Nair

Siphiwe Nair

1620466520

Your Data Architecture: Simple Best Practices for Your Data Strategy

If you accumulate data on which you base your decision-making as an organization, you should probably think about your data architecture and possible best practices.

If you accumulate data on which you base your decision-making as an organization, you most probably need to think about your data architecture and consider possible best practices. Gaining a competitive edge, remaining customer-centric to the greatest extent possible, and streamlining processes to get on-the-button outcomes can all be traced back to an organization’s capacity to build a future-ready data architecture.

In what follows, we offer a short overview of the overarching capabilities of data architecture. These include user-centricity, elasticity, robustness, and the capacity to ensure the seamless flow of data at all times. Added to these are automation enablement, plus security and data governance considerations. These points from our checklist for what we perceive to be an anticipatory analytics ecosystem.

#big data #data science #big data analytics #data analysis #data architecture #data transformation #data platform #data strategy #cloud data platform #data acquisition

Big Data Consulting Services | Big Data Development Experts USA

Big Data Consulting Services

Traditional data processing application has limitations of its own in terms of processing the large chunk of complex data and this is where the big data processing application comes into play. Big data processing app can easily process complex and large information with their advanced capabilities.

Want to develop a Big Data Processing Application?

WebClues Infotech with its years of experience and serving 350+ clients since our inception is the agency to trust for the Big Data Processing Application development services. With a team that is skilled in the latest technologies, there can be no one better for fulfilling your development requirements.

Want to know more about our Big Data Processing App development services?

Visit: https://www.webcluesinfotech.com/big-data-solutions/

Share your requirements https://www.webcluesinfotech.com/contact-us/

View Portfolio https://www.webcluesinfotech.com/portfolio/

#big data consulting services #big data development experts usa #big data analytics services #big data services #best big data analytics solution provider #big data services and consulting

Gerhard  Brink

Gerhard Brink

1620629020

Getting Started With Data Lakes

Frameworks for Efficient Enterprise Analytics

The opportunities big data offers also come with very real challenges that many organizations are facing today. Often, it’s finding the most cost-effective, scalable way to store and process boundless volumes of data in multiple formats that come from a growing number of sources. Then organizations need the analytical capabilities and flexibility to turn this data into insights that can meet their specific business objectives.

This Refcard dives into how a data lake helps tackle these challenges at both ends — from its enhanced architecture that’s designed for efficient data ingestion, storage, and management to its advanced analytics functionality and performance flexibility. You’ll also explore key benefits and common use cases.

Introduction

As technology continues to evolve with new data sources, such as IoT sensors and social media churning out large volumes of data, there has never been a better time to discuss the possibilities and challenges of managing such data for varying analytical insights. In this Refcard, we dig deep into how data lakes solve the problem of storing and processing enormous amounts of data. While doing so, we also explore the benefits of data lakes, their use cases, and how they differ from data warehouses (DWHs).


This is a preview of the Getting Started With Data Lakes Refcard. To read the entire Refcard, please download the PDF from the link above.

#big data #data analytics #data analysis #business analytics #data warehouse #data storage #data lake #data lake architecture #data lake governance #data lake management

KPMG Ignition uses Azure Arc enabled data services | Azure Hybrid Virtual Event

Hear from real customers using #AzureArc enabled data services. Rohan Kumar, CVP Microsoft Azure, interviews Aram Lauxtermann, Director of Cloud at KPMG Ignition, Tokyo. KPMG is in the private preview of Azure Arc enabled data services and provides valuable insight into deploying and managing data services across on-premises, cloud, and the edge.

#azure #azure-arc #azure-hybrid #rohan