A Short Overview of a Fully Managed Data Warehouse Tool

What tool would you use if you want a fast, fully managed data warehouse that makes it easy and convenient as well as cost-effective to analyze all standard data using SQL and your existing Business Intelligence (BI)?

It is Amazon Redshift which allows users to run complex analytic queries against petabytes of structured data, using cutting-edge query optimization, storage on high-performance local disks and massive parallel query execution. 


Businesses can start on any scale with Redshift, from $0.25 per hour without any commitments and move on to petabytes of data for $1,000 per terabyte per year at a tenth of the expenses of traditional solutions. Amazon Redshift also includes Amazon Redshift Spectrum which helps to run SQL queries against exabytes of unstructured data in Amazon S3. 

Conventional data warehouses need large amounts of time and resources to administer. Additionally, the financial cost of building, maintaining, and growing self-managed, on-premise data warehouses is very high. Also, you have to constantly focus on what data to load and which to archive to keep costs down. Amazon Redshift, on the other hand, not only lowers the cost and operational overhead of a data warehouse significantly but also makes it easy to analyze large amounts of data in its native format without having to load the data.    
     
       

Comments

Post a Comment

Popular posts from this blog

An Introduction to Database Replication

Image
The volumes of data generated by businesses today are massive. IT departments are expected to ensure that this data is online and accessible indefinitely, thereby putting immense pressure on the data management process. The need then is to replace outdated and inefficient legacy processes through agile and new techniques. SQL Server Replication is the most used technique to achieve this goal. But first – what is SQL Server Replication? It is a technology for copying and distributing objects from one database to another after which the databases are synchronized to maintain integrity and consistency of data. Database replication SQL server is used for continuous copying and synchronizing data or scheduled to run at intervals that are determined from time to time. The data synchronization can be carried out in several ways as per the replication techniques deployed. Here are some of the techniques used for data replication. Snapshot replication – In this process, a “snapshot” is tak
Read more

A Guide to Changed Data Capture

Image
Changes in a database like inserts and deletes are very common across organizations and everybody would expectedly want to retain a history of all modifications made. Hence, it is necessary to have the required tools to ensure that it is made possible. This is where Oracle CDC (Changed Data Capture) has a very critical role to play. It can process and capture changes made at the source of data and apply them throughout the organization. CDC aims to ensure data synchronicity by reducing the resources required for ETL (Extract, Transform, Load) processes and is possible because CDC deals with data changes only. The main benefit of limiting the source data flow to changed data only is in the area of data synchronization and replication and is critical for setting up event-oriented architecture for integration. In such a case, data changes are made by applications during a business process. All such changes are captured by the Oracle Data Integrator and changed to events that are circu
Read more

Steps to Replicate Oracle Database to Snowflake

Image
Oracle database has a unique networking stack feature that facilitates easy integration of applications, thereby ensuring data integrity and reliability. Despite this versatility, businesses opt for Oracle to Snowflake replication of databases. Why is this so? Snowflake, a cloud-based data warehousing solution has many benefits. It has separate compute and storage facilities and users can scale up and down, paying only for resources used. Further, multiple users can work on multiple workloads without facing any drop in performance.  Here are a few steps to replicate data Oracle to Snowflake . •Mining data from Oracle to a CSV file – For extracting data, Oracle Database Server is used to query and redirect the result to a CSV file. For mining incremental data, that is data relating to changed records only after the last replication, a SQL Plus tool has to be run in appropriate conditions. •Converting and formatting data – Before replication, it is critical to ensure that the data is
Read more