Technology

  Your current data management platform should seamlessly scale up and down in computing and storage facilities without investments in hardware and software when there is a surge in data volumes. If you cannot do one or more of them you should definitely move to another platform. One of the older databases Oracle has been serving businesses for decades. But to get more out of your data analytics, it is essential to load data from the database Oracle to S3. The question is why move to Amazon Web Services (AWS) S3 (Simple Storage Services) and what more does it bring to the table? Amazon S3is a recently-introduced (comparatively) cloud-based data warehousing solution and is ideal for Online Analytical Processing (OLAP). Applications are launched on S3 in two simple steps. An S3 cluster is initiated through API calls and then connected to an S3 instance through the AWS Management Console. S3 ensures a high level of data availability, scalability, performance, and storage and is one

  The concept of Data Lake was introduced more than a decade back and due to its many cutting-edge features immediately had a positive impact on the business community. It was unheard of in those times to have all unstructured, semi-structured, and structured data in one single repository. But it took some time before data lakes could get over the initial teething problems and become a viable alternative to the existing data marts and data warehouses. When Snowflake Data Lake was presented to the business community, they found that it was a solution to all their data warehousing issues and was exactly what they were looking for. The architecture of data lakes can store high volumes of data. These can be processed and analyzed at any time to get detailed insights about the various aspects of an enterprise. All the data are stored in one single location as against the earlier versions where they lay scattered in various silos such as data marts and data warehouses. The Snowflake Dat

  Replicating the Oracle database to Snowflake is a preferred option for most businesses because of the many benefits that the cloud-based data warehousing solution Snowflake has to offer. It is a high performing platform where multiple users can work simultaneously on several intricate queries without any drop in performance. Further, Snowflake provides separate computing and storage facilities so that users can scale up or down in either of them by paying only for the quantum of resources used. However, for replicating the database Oracle to Snowflake , it is essential to use the most optimized tools to not only automate the process but also to ensure that it is done quickly, effectively, and seamlessly. Here are some of the features that the best tools for replication will have. ·         Should be able to handle large volumes of data thereby speeding up the Oracle to Snowflake process . Once replication is done without the intervention of Database Administrators, the cost of