INDUSTRY INSIGHTS YOUR PEERS ARE READING
The optimized data warehouse isn’t simply a number of relational databases cobbled together, however—it’s built on modern data storage structures such as the Online Analytical Processing (or OLAP) cubes. MORE
Some may ask: “Can’t we all just go back to the glory days of business intelligence, OLAP, and enterprise data warehouses?” Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. Introduction. Welcome back to our monthly burst of themespotting and conference summaries. BTW, videos for Rev2 are up: [link]. On deck this time ’round the Moon: program synthesis. In other words, using metadata about data science work to generate code. MORE
The optimized data warehouse isn’t simply a number of relational databases cobbled together, however—it’s built on modern data storage structures such as the Online Analytical Processing (or OLAP) cubes. MORE
With all the attention being paid to artificial intelligence (AI) these days, it’s no surprise that enterprise leaders are scrambling to find ways to shoehorn AI implementations into their technology stack. MORE
The way to work around this shortcoming is to use OLAP cubes or data models generated within memory, but these will take time to develop and test, especially since they need to be scalable to the level of use in a data lake. Data Lakes are among the most complex and sophisticated data storage and processing facilities we have available to us today as human beings. MORE
OLAP and Hadoop are not the same. OLAP is a technology to perform multi-dimensional analytics like reporting and data mining. They can be used together but there are differences when choosing between using Hadoop/MapReduce data processing versus classic OLAP. MORE
OLTP vs OLAP. First, we’ll dive into the two types of databases: OLAP (Online Analytical Processing) and OLTP (Online Transaction Processing). An OLAP database is best for situations where you read from the database more often than you write to it. Tech Talk Data Warehouse OLAP MORE
It’s used to dig up insights for business users, OLAP cubes, analytics apps, and ad-hoc analyses. When your organization decides to pull the trigger on a cloud migration, a lot of stuff will start happening all at once. MORE
In the earliest days of corporate database architecture, the standard database was an analytical database (OLAP) which imported data from a transactional database (OLTP) after running it through ETL operations every so often to make it palatable to the analytical database. MORE
They can use self-serve data preparation tools to connect to data sources like databases, OLAP cubes and spreadsheets using simple wizard based connection interface. MORE
Thanks to The OLAP Report for lots of great market materials. Comshare, Pilot, Metaphor, watch out here comes some more: OLAP, ROLAP, HOLAP, MOLAP now my head hurts. OLAP for the masses, gents? OLAP Services, TM1, Pablo, Wired, and Crystal fun. Showcase, SQRIBE all get imbibed and don’t forget OLAP@ Work. MORE
Jet Analytics is a business intelligence and reporting solution with pre-built data warehouse and OLAP cubes for Dynamics GP. Data Warehouse and OLAP Cubes. MORE
You also get a pre-built data warehouse and cubes (tabular or OLAP) that uses these data entities to de-normalize the tables and keep all your governed data in one place. MORE
To manage all the integrated data inside a data warehouse, many companies build cubes (OLAP or tabular) for quick reporting and analysis. In the business landscape of 2019, data is the only currency that matters. MORE
Big Data & IoT Data Warehousing Spark Automation Hadoop Sponsored Solution Review OLAPby Jen Underwood. Recently I engaged in a guided “hands-on” evaluation of Infoworks, a “no code” big data engineering solution that expedites and automates Hadoop and cloud workflows. MORE
The optimized data warehouse isn’t simply a number of relational databases cobbled together, however—it’s built on modern data storage structures such as the Online Analytical Processing (or OLAP) cubes. Artificial Intelligence is coming for the enterprise. MORE
Business intelligence (BI) software can help by combining online analytical processing (OLAP), location intelligence, enterprise reporting, and more. Store and manage: Next, businesses store and manage the data in a multidimensional database system, such as OLAP or tabular cubes. MORE
BI lets you apply chosen metrics to potentially huge, unstructured datasets, and covers querying, data mining , online analytical processing ( OLAP ), and reporting as well as business performance monitoring, predictive and prescriptive analytics. MORE
An OLAP cube is a data structure that overcomes the limitations of relational databases by providing rapid analysis of data. It is a Multidimensional cube that is built using OLAP databases. Introduction. MORE
OLAP Related Topics 
Perficient Data & Analytics
OCTOBER 31, 2019
OLAP and Hadoop are not the same. OLAP is a technology to perform multi-dimensional analytics like reporting and data mining. They can be used together but there are differences when choosing between using Hadoop/MapReduce data processing versus classic OLAP.
Sisense
SEPTEMBER 3, 2019
OLTP vs OLAP. First, we’ll dive into the two types of databases: OLAP (Online Analytical Processing) and OLTP (Online Transaction Processing). An OLAP database is best for situations where you read from the database more often than you write to it. Tech Talk Data Warehouse OLAP
Jen Underwood
MAY 14, 2018
Big Data & IoT Data Warehousing Spark Automation Hadoop Sponsored Solution Review OLAPby Jen Underwood. Recently I engaged in a guided “hands-on” evaluation of Infoworks, a “no code” big data engineering solution that expedites and automates Hadoop and cloud workflows.
Perficient Data & Analytics
AUGUST 2, 2017
An OLAP cube is a data structure that overcomes the limitations of relational databases by providing rapid analysis of data. It is a Multidimensional cube that is built using OLAP databases. Introduction.
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DataFloq
MAY 14, 2019
In the earliest days of corporate database architecture, the standard database was an analytical database (OLAP) which imported data from a transactional database (OLTP) after running it through ETL operations every so often to make it palatable to the analytical database.
Jet Global
JUNE 5, 2019
Business intelligence (BI) software can help by combining online analytical processing (OLAP), location intelligence, enterprise reporting, and more. Store and manage: Next, businesses store and manage the data in a multidimensional database system, such as OLAP or tabular cubes.
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In(tegrate) the Clouds
OCTOBER 7, 2016
Thanks to The OLAP Report for lots of great market materials. Comshare, Pilot, Metaphor, watch out here comes some more: OLAP, ROLAP, HOLAP, MOLAP now my head hurts. OLAP for the masses, gents? OLAP Services, TM1, Pablo, Wired, and Crystal fun. Showcase, SQRIBE all get imbibed and don’t forget OLAP@ Work.
Jet Global
APRIL 10, 2019
Jet Analytics is a business intelligence and reporting solution with pre-built data warehouse and OLAP cubes for Dynamics GP. Data Warehouse and OLAP Cubes.
Jet Global
AUGUST 14, 2019
The optimized data warehouse isn’t simply a number of relational databases cobbled together, however—it’s built on modern data storage structures such as the Online Analytical Processing (or OLAP) cubes.
Jet Global
OCTOBER 2, 2019
The optimized data warehouse isn’t simply a number of relational databases cobbled together, however—it’s built on modern data storage structures such as the Online Analytical Processing (or OLAP) cubes.
Sisense
AUGUST 11, 2019
BI lets you apply chosen metrics to potentially huge, unstructured datasets, and covers querying, data mining , online analytical processing ( OLAP ), and reporting as well as business performance monitoring, predictive and prescriptive analytics.
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Jet Global
APRIL 30, 2019
You also get a pre-built data warehouse and cubes (tabular or OLAP) that uses these data entities to de-normalize the tables and keep all your governed data in one place.
Jet Global
MARCH 5, 2019
With all the attention being paid to artificial intelligence (AI) these days, it’s no surprise that enterprise leaders are scrambling to find ways to shoehorn AI implementations into their technology stack.
Jet Global
MAY 28, 2019
To manage all the integrated data inside a data warehouse, many companies build cubes (OLAP or tabular) for quick reporting and analysis. In the business landscape of 2019, data is the only currency that matters.
Sisense
APRIL 21, 2019
It’s used to dig up insights for business users, OLAP cubes, analytics apps, and ad-hoc analyses. When your organization decides to pull the trigger on a cloud migration, a lot of stuff will start happening all at once.
Smart Data Collective
APRIL 2, 2019
The way to work around this shortcoming is to use OLAP cubes or data models generated within memory, but these will take time to develop and test, especially since they need to be scalable to the level of use in a data lake. Data Lakes are among the most complex and sophisticated data storage and processing facilities we have available to us today as human beings.
Domino Data Lab
JULY 2, 2019
Some may ask: “Can’t we all just go back to the glory days of business intelligence, OLAP, and enterprise data warehouses?” Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. Introduction. Welcome back to our monthly burst of themespotting and conference summaries. BTW, videos for Rev2 are up: [link]. On deck this time ’round the Moon: program synthesis. In other words, using metadata about data science work to generate code.
Smarten
JANUARY 4, 2018
They can use self-serve data preparation tools to connect to data sources like databases, OLAP cubes and spreadsheets using simple wizard based connection interface.
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