Explore data types: Azure provides many data platform technologies to meet the needs of common data varieties. It’s worth reminding ourselves of the two broad types of data: structured data and nonstructured data. Structured data In relational database systems like Microsoft SQL Server, Azure SQL Database, and Azure SQL Data Warehouse, data structure is defined at design time. Data structure is designed in the form of tables. This means it’s designed before any information is loaded into the system. The data structure includes the relational model, table structure, column width, and data types. Relational systems react slowly to changes in … Continue reading Azure Platform for Data Engineers(part-2)
We are using Bigquery as our data warehouse solution and using standard SQL as query language . For dataset we use Google’s Google Analytics logs of an merchants website. You need to enable your bigquery account which has a daily limit and there after it is cost effective. Click Navigation menu > BigQuery. Click Done. BigQuery public datasets are not displayed by default in the BigQuery web UI. To open the public datasets project, open https://console.cloud.google.com/bigquery?p=data-to-insights&page=ecommerce in a new browser window. In the left pane, in the Resource section, click data-to-insights. In the right pane, click Pin Project. Explore ecommerce data Problem : Your data analyst team exported … Continue reading insights from E-Commerce retail data set
In this post, you create a Cloud Storage bucket and place an image in it. You’ll also configure an application running in Compute Engine to use a database managed by Cloud SQL. For this lab, you will configure a web server with PHP, a web development environment that is the basis for popular blogging software. Outside this lab, you will use analogous techniques to configure these packages. You also configure the web server to reference the image in the Cloud Storage bucket. Objectives In this lab, you learn how to perform the following tasks: Create a Cloud Storage bucket and … Continue reading How to use Cloud Storage and Cloud SQL
Storing and querying massive datasets can be time consuming and expensive without the right hardware and infrastructure. Google BigQuery is an enterprise data warehouse that solves this problem by enabling super-fast SQL queries using the processing power of Google’s infrastructure. Simply move your data into BigQuery and let us handle the hard work. You can control access to both the project and your data based on your business needs, such as giving others the ability to view or query your data. You access BigQuery through the GCP Console, the command-line tool, or by making calls to the BigQuery REST API using a variety of client libraries such … Continue reading Explore a BigQuery Public Dataset
First thing first We will discuss what is Bigquery and why we are choosing Bigquery….. BigQuery is Google’s fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to … Continue reading Become A Marketing Expert By using Google Cloud products learn the Art of Asking with a Browser
You Will get a brief overview of GCP and tools that power machine learning and Big data in GCP. So What Is GCP? GCP stands for Googles cloud platform ….means in a simple way Googles offering of could solutions . Now I hope that you have understanding about what is cloud. If you ever working in AN organizations that have there own data center you have a bit idea about cloud . It simply means giving access to do what you wanna do with a machine but restricts your physical level access. So how you as an organisation get benefit … Continue reading Big Data and Machine Learning Fundamentals using GCP for Data Professionals.