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What is Oracle Change Data Capture and its Benefits

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  In the past, businesses have introduced advanced technologies in their database management systems. However, it was soon realized that getting insights into real-time data was not easy. Replacing existing databases was more than they could handle even though the data and transactions were critical for data analytics. Over the last couple of decades, it was seen that both the velocity of data and the volumes were increasing dramatically and exponentially. It became essential to opt for cloud-based solutions and Change Data Capture (CDC) from databases like Oracle, MySQL, and SQL Server. It was seen that Oracle CDC was one specific point where the effect of modern data integration use cases was the largest. Soon, an increasing number of organizations chose to move to event-driven architectures to maximize the dynamic distributed capabilities of databases, particularly Oracle CDC. One of the main benefits of Oracle CDC is that events that are created can be extracted in real-time.
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Change Data Capture Feature in Oracle Database – Evolution and Benefits

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  The Change Data Capture feature in the Oracle database platform is an integrated technology introduced in the 9i version. This new feature tracked and recorded all modifications in user tables in a database. These changes were then stored in ETL applications in the changed tables. The change data was processed and loaded into target data warehouses and other databases. The first model of the Oracle CDC technology worked on triggers set in the source tables that captured any changes as soon as they were made. However, this method was found to be too invasive by Database Administrators who were not very willing to work with it. Shortly thereafter, Oracle released a new form of Oracle CDC with the 10g version. It was different from the earlier model as the new one worked by leveraging the redo logs of the source database. This built-in tool for Oracle CDC was called Oracle Streams. This technology was a great improvement over the earlier one as it could detect and transfer change d
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Migrating Oracle Database to Snowflake

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  Oracle database was launched commercially in 1991 and since then has been the leader in the data landscape of organizations. Oracle enables fast retrieval and storage of data and runs on various hardware and software operating systems. Oracle was one of the first databases to have supported GNU/LINUX. Given all these features, why do businesses migrate database Oracle to Snowflake ? Snowflake is a cloud-based data warehousing solution. It is independent of any “big data” software or existing database as it operates completely on the cloud. Rather, Snowflake uses a new SQL database engine with advanced technology that is way ahead when measured against other traditional databases. There are four steps in migrating a database from Oracle to Snowflake. The first is extracting data from the Oracle database to a CSV file by using the SQL Plus query tool. For mining incremental data, the SQL tool has to be run under specific conditions. The mined data has to be processed and form
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Moving Database Oracle to Amazon S3 – An Overview

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  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
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The Reasons For Having Your Data Lake on Snowflake

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  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
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Features of Tools for Oracle Database Replication to Snowflake

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  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
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