Olap open source

As the first open source distributed extreme OLAP engine that builds cubes on Hadoop, and powered by Hadoop/HBase/Spark and other technologies, Apache Kylin achieves millisecond to second level query latency for up to a trillion rows data.

1. What is an OLAP source?
2. Is OLAP dead?
3. What is OLAP tool?
4. Is Google Analytics OLAP?
5. What is OLAP example?
6. Is OLAP and data warehouse same?
7. Do we still need OLAP?
8. Is Tableau A OLAP tool?
9. What is replacing OLAP?
10. What is OLAP tools in Excel?
11. Who uses OLAP?
12. How do I use OLAP in Excel?
13. What is ETL logic?

What is an OLAP source?

OLAP is a database technology that has been optimized for querying and reporting, instead of processing transactions. The source data for OLAP is Online Transactional Processing (OLTP) databases that are commonly stored in data warehouses.

Is OLAP dead?

OLAP never died, even if its underlying technologies morphed a bit. What has dogged OLAP, though, is its scalability. Most OLAP servers run on single, albeit beefy, servers, which limits the parallelism that can be achieved and therefore imposes de facto limits on data volumes.

What is OLAP tool?

OLAP (Online Analytical Processing) tools are used to analyze large volumes of data from different perspectives. They provide easy to use functions for filtering, drilling and visualizing key insights and KPIs. The vendors that sell OLAP tools promise very good response times.

Is Google Analytics OLAP?

5 Answers. use of the terms "Dimensions" and "Metrics" suggests that Google are using an OLAP database rather than a relational database.... SQL is used for relational databases: OLAP uses MDX or proprietary query languages (if Oracle).

What is OLAP example?

OLAP products include IBM Cognos, Oracle OLAP and Oracle Essbase. OLAP features are also included in tools such as Microsoft Excel and Microsoft SQL Server's Analysis Services). OLAP products are typically designed for multiple-user environments, with the cost of the software based on the number of users.

Is OLAP and data warehouse same?

Are they different approach for same thing? No, a data warehouse is a place to store data in an easily analyzable format, and OLAP is a method to analyze data.

Do we still need OLAP?

OLAP is not dead. But it has morphed into only one interesting option among many analytics tools. The concept of structuring data with dimensions and hierarchies persists because it provides guardrails. Business users can query the data in business terms without knowing the technical details of the implementation.

Is Tableau A OLAP tool?

In the end, Tableau works amazingly well on relational databases, and while it does connect to OLAP cubes, doing so is duplicative of the aggregation and hierarchy capabilities native to Tableau. And Tableau is even optimized for many non-SQL and big data solutions, such as the direct connector to Google's BigQuery.

What is replacing OLAP?

Self-service BI tools use a different technology than traditional OLAP tools supported by data warehouses. In particular, self-service tools use column-store data caches rather than OLAP data cubes. These data caches can be accessed in memory instead of reading from or writing to disk.

What is OLAP tools in Excel?

OLAP PivotTable Extensions is an Excel add-in which extends the functionality of PivotTables on all types Analysis Services cubes. It supports Analysis Services Tabular, Analysis Services Multidimensional, Azure Analysis Services, and Power BI (both Analyze in Excel and the XMLA endpoint).

Who uses OLAP?

Common uses of OLAP include data mining and other business intelligence applications, complex analytical calculations, and predictive scenarios, as well as business reporting functions like financial analysis, budgeting, and forecast planning.

How do I use OLAP in Excel?

In Excel, you can connect to OLAP cubes (often called multidimensional cubes) and create interesting and compelling report pages with Power View. To connect to a multidimensional data source, from the ribbon select Data > Get External Data > From Other Sources > From Analysis Services.

What is ETL logic?

In computing, extract, transform, load (ETL) is the general procedure of copying data from one or more sources into a destination system which represents the data differently from the source(s) or in a different context than the source(s).