Jet Global

NOVEMBER 5, 2020

That stands for “bring your own database,” and it refers to a model in which core ERP data are replicated to a separate standalone database used exclusively for reporting. For more powerful, multidimensional OLAP-style reporting, however, it falls short. OLAP reporting has traditionally relied on a data warehouse.

Data Lake 98

Data Lake OLAP Data Warehouse Unstructured Data 98

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. OLAP databases excel at queries that require large table scans (e.g.

Data Warehouse 78

Data Warehouse OLAP Statistics Cost-Benefit 78

Jet Global

SEPTEMBER 4, 2020

Microsoft referred to this approach as “bring your own database” (BYOD). Online analytical processing (OLAP), which enabled users to quickly and easily view data along different dimensions, was coming of age. There is an established body of practice around creating, managing, and accessing OLAP data (known as “cubes”).

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

Octopai

AUGUST 30, 2020

Column-to-column lineage.

OLAP 84

OLAP Metadata Visualization Data Processing 84

AWS Big Data

SEPTEMBER 22, 2023

Amazon Redshift has added many features to enhance analytical processing like ROLLUP, CUBE and GROUPING SETS , which were demonstrated in the post Simplify Online Analytical Processing (OLAP) queries in Amazon Redshift using new SQL constructs such as ROLLUP, CUBE, and GROUPING SETS. For more details, refer to MERGE and QUALIFY clause.

Data Warehouse 124

Data Warehouse OLAP Risk Online Analytical Processing 124

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.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

Jet Global

OCTOBER 7, 2020

They can sit inside your D365 F&SCM instance or in a separate Azure space, referred to as Bring Your Own Database (BYOD), which stores the data entities in Azure but in an SQL format that is accessible to reporting. Reference (e.g., General Ledger). Tax Codes). Master (e.g., Customers). Enterprise Business Intelligence.

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

AWS Big Data

MARCH 7, 2023

Analytics reference architecture for gaming organizations In this section, we discuss how gaming organizations can use a data hub architecture to address the analytical needs of an enterprise, which requires the same data at multiple levels of granularity and different formats, and is standardized for faster consumption.

Analytics 93

Analytics Data Warehouse Data Lake Metadata 93

AWS Big Data

JUNE 21, 2023

Deriving business insights by identifying year-on-year sales growth is an example of an online analytical processing (OLAP) query. We begin with a single-table design as an initial state and build a scalable batch extract, load, and transform (ELT) pipeline to restructure the data into a dimensional model for OLAP workloads.

Data Warehouse 103

Data Warehouse Data Lake OLAP Cost-Benefit 103

Cloudera

DECEMBER 1, 2020

For a more detailed technical material relevant for setting up of a CDP Private Cloud environment and the requirements in terms of appropriate hardware for a CDP Private Cloud Base, see the reference architecture here: [link] . The organization may also have components for doing OLAP.

OLAP 61

OLAP Metadata Finance Technology 61

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. Cubes are multi-dimensional datasets that are optimized for analytical processing applications such as AI or BI solutions.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

Jet Global

MARCH 5, 2019

AI, colloquially, is used to refer to a number of computer-powered business decision drivers, including automation (not AI), data modeling (not AI), and reporting and analytics (also not AI). But are those tools powered by artificial intelligence? What are some of the core components of business intelligence?

Business Intelligence 75

Business Intelligence OLAP Visualization Machine Learning 75

Jet Global

APRIL 30, 2019

Reference (Ex. 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. There are 5 categories of data entities based on their functions and the type of data that they serve: Parameter (Ex. General ledger). Tax Codes).

Finance 73

Finance OLAP Reporting Data Warehouse 73

Jet Global

APRIL 19, 2021

Data warehouse automation refers to the process of automating each part of the data warehouse lifecycle by minimizing manual code writing and automating the repetitive, labor-intensive, time-consuming tasks normally associated with a data warehouse. What is Data Warehouse Automation? Reclaim Developer Hours.

Data Warehouse 98

Data Warehouse Cost-Benefit OLAP Business Intelligence 98

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. But on the whole, BI is more concerned with the whats and the hows than the whys.

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

AWS Big Data

OCTOBER 18, 2023

To create it, refer to Tutorial: Get started with Amazon EC2 Windows instances. To download and install AWS SCT on the EC2 instance that you created, refer to Installing, verifying, and updating AWS SCT. For more information about bucket names, refer to Bucket naming rules. Download the Redshift JDBC driver.

Analytics 111

Analytics Data Warehouse Dashboards Testing 111

Jet Global

JANUARY 15, 2021

In this respect, we often hear references to “switching costs” and “stickiness.” In many respects, it is more akin to some of the very complex data warehousing and OLAP tools of the past–perhaps with an even steeper learning curve. When the cost of switching to a new product is high, customers tend to remain where they are.

Cost-Benefit 72

Cost-Benefit Data Lake Reporting OLAP 72

BizAcuity

APRIL 1, 2023

KPI Analysis: the process of evaluating the performance of an organization using a set of measurable metrics infrastructure: refers to the hardware, software, and other key resources that are used to manage, maintain and analyze data within an organization. Data governance and security measures are critical components of data strategy.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

BizAcuity

JANUARY 31, 2023

KPI Analysis: the process of evaluating the performance of an organization using a set of measurable metrics infrastructure: refers to the hardware, software, and other key resources that are used to manage, maintain and analyze data within an organization. Data governance and security measures are critical components of data strategy.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

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?” Although not specifically cited by the AutoPandas project (apologies if I missed a reference?) Nope, that genie is out of the bottle.

Metadata 105

Metadata Data Science Machine Learning Data-driven 105

erwin

AUGUST 15, 2022

Look at this NoSQL definition from Wikipedia: A NoSQL (originally referring to “non-SQL” or “non-relational”) database provides a mechanism for storage and retrieval of data that is modeled in means other than the tabular relations used in relational databases. References}. Business Focus. Operational.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52

AWS Big Data

AUGUST 1, 2024

For an example, refer to How JPMorgan Chase built a data mesh architecture to drive significant value to enhance their enterprise data platform. The data warehouse is highly business critical with minimal allowable downtime. Organic strategy – This strategy uses a lift and shift data schema using migration tools.

Data Warehouse 113

Data Warehouse KPI Optimization Cost-Benefit 113

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. Cubes are multi-dimensional datasets that are optimized for analytical processing applications such as AI or BI solutions.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

Jet Global

DECEMBER 3, 2021

The term “ business intelligence ” (BI) has been in common use for several decades now, referring initially to the OLAP systems that drew largely upon pre-processed information stored in data warehouses. As technology has evolved, BI has grown steadily more powerful, affordable, and accessible.

Business Intelligence 52

Business Intelligence OLAP Sales Data Warehouse 52

AWS Big Data

MARCH 20, 2023

Top line revenue refers to the total value of sales of an organization’s services or products. Druid hosted on Amazon Elastic Compute Cloud (Amazon EC2) integrates with the Kinesis data stream for streaming ingestion and allows users to run slice-and-dice OLAP queries. Operational dashboards are hosted on Grafana integrated with Druid.

Analytics 52

Analytics Slice and Dice Data Processing Data Lake 52

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. Reports that used to take 5 minutes to generate are now assembled in seconds, and end users no longer need to understand the complex web of references tying multiples tables together.

Data Warehouse 85

Data Warehouse Reporting Business Intelligence Sales 85

Smarten

JANUARY 4, 2018

Extract, Transform and Load (ETL) refers to a process of connecting to data sources, integrating data from various data sources, improving data quality, aggregating it and then storing it in staging data source or data marts or data warehouses for consumption of various business applications including BI, Analytics and Reporting.

Data Warehouse 40

Data Warehouse OLAP Data Governance Optimization 40

Jet Global

MAY 1, 2023

OLAP cubes Used for multi-dimensional analysis Strategic Objective When a vendor-specific connector is not available, generic connectors provide flexibility with data. References Ask to speak to existing customers in similar verticals. Ask your vendors for references. It’s all about context. that gathers data from many sources.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52