Capture data using KPL and write to kinesis data streams
This Articles helps to get a clear picture about AWS Kinesis, Kinesis streams, Firehose delivery streams and get to know the complete process of capturing streaming data using kinesis producer library and write the data records to the required targets with help of created kinesis streams and firehose delivery streams by using consumer libraries.
Querying Cloud SQL from Google Big Query and Visualizing the data using Google Data studio
The purpose is to build the pipeline, for transferring data from Cloud SQL tables to Big Query by establishing an external data connection between Cloud SQL and Big Query, query the cloud SQL table in BigQuery with the external function, and visualize the result by exporting it to Data studio.
Data Science And Its Application In Various Industries
Data Science can be utilized anywhere, wherever data is involved. Certain industries adopt data science to get benefitted as they find optimal solutions that help the organizations as well as their customers. This article provides knowledge on the application of data science in some of the major industries.
Machine Learning For Algorithmic Trading
Algorithmic Trading is a complex process of automated programming to buy or sell financial securities on an exchange with high-speed data processing (sometimes known as – High Frequency Trading) and accuracy without human intervention. Machine learning algorithms can analyse thousands of data sources at the same time, something an ordinary human trader cannot accomplish. Read the article to know more on this.
Modern Data Warehouse For Organizations
Have you ever thought of an organization completely gaining insights from a data residing in a database, further leading to be dependent on a data warehouse? This article focuses on the importance of modernizing the data warehouse and helping the organizations to take decisions by implementing this approach. It also gives the differences between a traditional data warehouse and modern data warehouse and on what cases a modern data warehouse could achieve certain things from an organization stand point when compared to a traditional data warehouse.
Why BigQuery?
Did you know that Google uses a technology which can scan around billions of rows in tens of seconds? A major point to consider here is that, this scan is done without using any indexing. Sounds amazing, right? Let us understand a bit about this amazing technology called “Dremel”, which can execute SQL-like queries over large datasets (around 20 TB) and produce results accurately within seconds. So, it is safe to say that if someone has a basic knowledge of SQL, they can easily handle large data sets efficiently.
New Features And Removals In Hyperion EPM 11.2
Oracle continuously releases new versions in Hyperion, with the latest being the release of Cloudera. Everyone assumed that 11.1.2.x is the last release on On-Premise, but Oracle announced that they will be releasing 11.2.x On-Premise which is the latest along with the functionalities of cloud applications. Let’s have a look at the details of the new additions and also the old features that were replaced by the newer version.
Storytelling With Data Using Oracle Data Visualization
Oracle Data Visualization (DV) is a part of Oracle Analytics. This article explains capabilities of Oracle DV, which is a business analytics service for connecting, preparing, visualizing and sharing insights or stories from data.
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