Brad  Hintz

Brad Hintz

1594225500

Source Control using Git in Azure Data Studio (ADS)

Azure Data Studio is a tool for both developers and database administrators with exciting features. You can install ADS on both Windows and Linux platforms. You can go through various articles on SQLShack to be comfortable with the tool and its features.

Source version control is a valuable part of IT developments. Suppose you are a developer and working on a database project. As part of your task, you might need to make specific changes in the database objects such as stored procedures, tables, functions. Your colleagues might be working on a separate project that affects the same objects. You should be aware of all these changes.

Similarly, recently someone deployed a stored procedure change in a critical production database. Your manager wants to know the history of changes to this procedure. You need information such as change date, what change was performed in the script, or make a comparison between the current stage and previous change.

Source control allows you to have a centralized location for all your database scripts, their versions, compare object versions, and commit or rollback the changes. You might have heard about the opensource and distributed version control system – GitHub. It is a useful tool for developers to store all modifications in a single place. They can download the current version, make changes, upload the new version for everyone’s visibility.

Azure Data Studio integrates Source control functionality for this purpose. In this article, we will explore the source control Git repository integration with ADS.

Pre-requisite:

You should always use the latest version for Azure Data Studio. I use ADS version 1.19.0 released on 15th June 2020. You can download it from the Microsoft Docs.

#azure data studio #development #source control

What is GEEK

Buddha Community

Source Control using Git in Azure Data Studio (ADS)
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

Brad  Hintz

Brad Hintz

1594225500

Source Control using Git in Azure Data Studio (ADS)

Azure Data Studio is a tool for both developers and database administrators with exciting features. You can install ADS on both Windows and Linux platforms. You can go through various articles on SQLShack to be comfortable with the tool and its features.

Source version control is a valuable part of IT developments. Suppose you are a developer and working on a database project. As part of your task, you might need to make specific changes in the database objects such as stored procedures, tables, functions. Your colleagues might be working on a separate project that affects the same objects. You should be aware of all these changes.

Similarly, recently someone deployed a stored procedure change in a critical production database. Your manager wants to know the history of changes to this procedure. You need information such as change date, what change was performed in the script, or make a comparison between the current stage and previous change.

Source control allows you to have a centralized location for all your database scripts, their versions, compare object versions, and commit or rollback the changes. You might have heard about the opensource and distributed version control system – GitHub. It is a useful tool for developers to store all modifications in a single place. They can download the current version, make changes, upload the new version for everyone’s visibility.

Azure Data Studio integrates Source control functionality for this purpose. In this article, we will explore the source control Git repository integration with ADS.

Pre-requisite:

You should always use the latest version for Azure Data Studio. I use ADS version 1.19.0 released on 15th June 2020. You can download it from the Microsoft Docs.

#azure data studio #development #source control

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

Sid  Schuppe

Sid Schuppe

1617988080

How To Blend Data in Google Data Studio For Better Data Analysis

Using data to inform decisions is essential to product management, or anything really. And thankfully, we aren’t short of it. Any online application generates an abundance of data and it’s up to us to collect it and then make sense of it.

Google Data Studio helps us understand the meaning behind data, enabling us to build beautiful visualizations and dashboards that transform data into stories. If it wasn’t already, data literacy is as much a fundamental skill as learning to read or write. Or it certainly will be.

Nothing is more powerful than data democracy, where anyone in your organization can regularly make decisions informed with data. As part of enabling this, we need to be able to visualize data in a way that brings it to life and makes it more accessible. I’ve recently been learning how to do this and wanted to share some of the cool ways you can do this in Google Data Studio.

#google-data-studio #blending-data #dashboard #data-visualization #creating-visualizations #how-to-visualize-data #data-analysis #data-visualisation

Troy  Marvin

Troy Marvin

1594371416

Working with Git components in Azure Data Studio

This article gives an insight into the terms in the Git repository of Azure Data Studio. In the previous articles, we learned the following things:

As you know, Git provides a version control system to track changes in your scripts. It is a shared repository in which team members can view, modify, and commit their changes. It is useful to know the components of Git repositories.

#azure data studio #source control #azure #working