FineReport

JULY 1, 2021

Specific business intelligence technologies may include: ad hoc analysis Data querying & discovery Data warehouse Enterprise reporting Data visualization Dashboards. Data warehouse. The data warehouse is a core component of business intelligence technologies. Data querying & discovery.

Business Intelligence 98

Business Intelligence Technology Data Warehouse Dashboards 98

AWS Big Data

MAY 17, 2023

During that same time, AWS has been focused on helping customers manage their ever-growing volumes of data with tools like Amazon Redshift , the first fully managed, petabyte-scale cloud data warehouse. One group performed extract, transform, and load (ETL) operations to take raw data and make it available for analysis.

Data Warehouse 110

Data Warehouse Cost-Benefit Sales Data-driven 110

AWS Big Data

SEPTEMBER 25, 2023

With Amazon Redshift , you can run a complex mix of workloads on your data warehouse, such as frequent data loads running alongside business-critical dashboard queries and complex transformation jobs. We also see more and more data science and machine learning (ML) workloads. ExampleCorp has multiple Redshift clusters.

Management 93

Management Data Warehouse Metrics Dashboards 93

Cloudera

JANUARY 19, 2022

Cloudera Data Platform (CDP) scored among the top 10 vendors on all four Analytical Use Cases — Data Warehouse, Logical Data Warehouse, Data Lake and Operational Intelligence in the Critical Capabilities for Cloud Database Management Systems for Analytics Use Cases.

Reporting 89

Reporting Data Warehouse Data Lake Machine Learning 89

AWS Big Data

OCTOBER 26, 2023

Amazon Redshift is a fast, petabyte-scale, cloud data warehouse that tens of thousands of customers rely on to power their analytics workloads. To get started, we need an Amazon Redshift Serverless data warehouse with the Redshift ML feature enabled and an Amazon SageMaker Studio environment with access to SageMaker Feature Store.

Modeling 62

Modeling Data Warehouse Machine Learning Testing 62

AWS Big Data

JUNE 2, 2023

Amazon Redshift is a widely used, fully managed, petabyte-scale cloud data warehouse. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytic workloads. You can also download the demo file. You should see a new directory called s3-redshift-loader-source is created.

Metadata 109

Metadata Data Warehouse Big Data Testing 109

Jet Global

NOVEMBER 5, 2020

OLAP reporting has traditionally relied on a data warehouse. Again, this entails creating a copy of the transactional data in the ERP system, but it also involves some preprocessing of data into so-called “cubes” so that you can retrieve aggregate totals and present them much faster.

Data Lake 98

Data Lake OLAP Data Warehouse Unstructured Data 98

Jet Global

SEPTEMBER 4, 2020

For more sophisticated multidimensional reporting functions, however, a more advanced approach to staging data is required. The Data Warehouse Approach. Data warehouses gained momentum back in the early 1990s as companies dealing with growing volumes of data were seeking ways to make analytics faster and more accessible.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

AWS Big Data

OCTOBER 19, 2023

Data lakes and data warehouses are two of the most important data storage and management technologies in a modern data architecture. Data lakes store all of an organization’s data, regardless of its format or structure. Delta Lake doesn’t have a specific concept for incremental queries.

Data Lake 111

Data Lake Data Warehouse Visualization Snapshot 111

Data Science 101

DECEMBER 3, 2019

What is the current data infrastructure? Do you have a data warehouse? Do you use any external data? How long is data stored? What data tools are available? This list is available as a free One-Page Checklist , go download it at Questions to Ask before Building a Data Strategy.

Data Strategy 84

Data Strategy Strategy Data Warehouse Dashboards 84

Smarten

JANUARY 16, 2023

The Smarten team helped build a data warehouse and consolidate it with NSE source data that was most of the times available in a different format. Download the Case study. The company is a respected corporate member of the National Stock Exchange (NSE) of India.

Analytics 52

Analytics Data Warehouse Marketing Reporting 52

AWS Big Data

MAY 2, 2023

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to analyze all your data efficiently and securely. Users such as data analysts, database developers, and data scientists use SQL to analyze their data in Amazon Redshift data warehouses.

Data Warehouse 61

Data Warehouse Software Visualization IoT 61

Smarten

DECEMBER 24, 2019

The Smarten team provided dedicated services and support to understand their functional requirements, and to design and implement a centralized data warehouse, ETL, and front-end object development. Download the Case Study.

Insurance 52

Insurance Analytics Data Warehouse Management 52

AWS Big Data

APRIL 4, 2024

It also downloads sample data files to use in the next step. Count_Validation – It runs the job to compare the data count between source and target data from the Data Catalog table and stores the results in an S3 bucket, which will be read via an Athena table.

Data Quality 61

Data Quality Data Lake Data Warehouse Data-driven 61

Jet Global

FEBRUARY 21, 2019

Do you need frontend functionality with data visualization and self-service analytics? What about centralized data storage in the form of a data warehouse? Download Comparison Now. Critical Functionality Every Dynamics User Needs in a BI Product.

Business Intelligence 75

Business Intelligence Analytics Data Warehouse Software 75

AWS Big Data

APRIL 20, 2023

Apache Spark enables you to build applications in a variety of languages, such as Java, Scala, and Python, by accessing the data in your Amazon Redshift data warehouse. Amazon Redshift integration for Apache Spark helps developers seamlessly build and run Apache Spark applications on Amazon Redshift data.

Data Lake 76

Data Lake Data Warehouse Sales Data-driven 76

AWS Big Data

MARCH 7, 2023

Data lakes are more focused around storing and maintaining all the data in an organization in one place. And unlike data warehouses, which are primarily analytical stores, a data hub is a combination of all types of repositories—analytical, transactional, operational, reference, and data I/O services, along with governance processes.

Analytics 70

Analytics Data Warehouse Data Lake Metadata 70

CDW Research Hub

JULY 29, 2019

When planning for a cloud data warehouse such as Snowflake, it is important to have a strategic plan in place to initialize the environment for development, testing and production. Snowflake is an analytic data warehouse provided as Software as a Service (SaaS). Snowflake Elevated Accounts. Introduction.

Data Warehouse 74

Data Warehouse Measurement Testing Publishing 74

Cloudera

JUNE 2, 2021

Often, these can be traced back to the weaknesses in the underlying data engineering solution architectures that have become archaic for modern data pipelines — posing a perennial problem for the data architects, data engineers, and data administrators.

Data Warehouse 92

Data Warehouse Machine Learning Data-driven Enterprise 92

FineReport

AUGUST 14, 2020

It is composed of three functional parts: the underlying data, data analysis, and data presentation. The underlying data is in charge of data management, covering data collection, ETL, building a data warehouse, etc. You can download it for a free trial. You might also be interested in….

Reporting 98

Reporting Informatics OLAP Data Warehouse 98

FineReport

NOVEMBER 17, 2021

Free Download. Power BI, an open-source alternative to tableau, creates amazing data experiences, with memorable reports personalized with your KPI s and brand. With a catchword ‘Modern BI For All’, Domo aims to unlock the value of data by putting it in the hands of everyone across your business and ecosystem. FineReport.

KPI 52

KPI Dashboards Metadata Data Warehouse 52

AWS Big Data

MARCH 10, 2023

They enable transactions on top of data lakes and can simplify data storage, management, ingestion, and processing. These transactional data lakes combine features from both the data lake and the data warehouse. Dimension-based models have been used extensively to build data warehouses.

Data Lake 101

Data Lake Sales Data Warehouse Snapshot 101

CIO Business Intelligence

MARCH 9, 2022

Some examples include: Customer 360 analytics, retail inventory and sales analysis, manufacturing operational analysis, eCommerce fraud prevention, network security intelligence, data warehouse consolidation and discount pricing optimization. Intel® Technologies Move Analytics Forward.

Data-driven 96

Data-driven Analytics Machine Learning Optimization 96

Timo Elliott

JANUARY 6, 2022

With the SAP HANA Cloud database, you can ingest live data in real time where it lives. Data is delivered in context, enabling you to make better business decisions faster. Data sense-making. Storing data isn’t enough. To sharpen your data strategy skills, download this outcome-driven data strategy masterclass.

IT 122

IT Metadata Data-driven Data Governance 122

FineReport

JULY 28, 2021

Definition: BI vs Data Science vs Data Analytics. Business Intelligence describes the process of using modern data warehouse technology, data analysis and processing technology, data mining, and data display technology for visualizing, analyzing data, and delivering insightful information.

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

datapine

MAY 21, 2019

Download our game-changing summary and see your company grow! In addition to increasing the price of deployment, setting up these data warehouses and processors also impacted expensive IT labor resources. Download our game-changing summary and see your company grow! 3) Analyzing data from different data sources.

Business Intelligence 183

Business Intelligence Cost-Benefit Dashboards Slice and Dice 183

AWS Big Data

JANUARY 17, 2024

Additionally, they can’t access rows of data that don’t fulfill certain conditions. For example, the users only can access data rows that belong to their country. Prerequisites You can download the three notebooks used in this post from the GitHub repo. Download the notebook rsv2-hudi-db-creator-notebook.

Data Lake 92

Data Lake Snapshot Big Data Data-driven 92

AWS Big Data

FEBRUARY 8, 2023

For more information, refer to Download and Installation of NW RFC SDK. XXX.XX.XXX mkdir aws_to_sap sudo yum install git git clone [link] Set up the SAP SDK on an Amazon EC2 machine To set up the SAP SDK, complete the following steps: Download the nwrfcsdk.zip file from a licensed SAP source to your local machine. pem" ec2-user@10.XXX.XX.XXX

Testing 71

Testing Data Integration Data Lake Enterprise 71

FineReport

JULY 22, 2021

Business Intelligence(BI) is defined as the concept of using modern data warehouse technology, online analysis and processing technology, data mining and data display technology for data analysis to achieve business value. Free Download. Free Download. Free Download. BI Use case in Real-world.

Business Intelligence 52

Business Intelligence Sales Marketing Forecasting 52

Alation

FEBRUARY 13, 2020

Data curation is important in today’s world of data sharing and self-service analytics, but I think it is a frequently misused term. When speaking and consulting, I often hear people refer to data in their data lakes and data warehouses as curated data, believing that it is curated because it is stored as shareable data.

Metadata 52

Metadata Data Warehouse Data Lake Data Governance 52

AWS Big Data

JANUARY 24, 2024

These formats enable ACID (atomicity, consistency, isolation, durability) transactions, upserts, and deletes, and advanced features such as time travel and snapshots that were previously only available in data warehouses. Grant the IAM role used in the Athena workgroup s3:DeleteObject permission to an S3 bucket and prefix for cleanup.

Snapshot 99

Snapshot Data Lake Metadata Optimization 99

AWS Big Data

JUNE 23, 2023

Redshift Serverless is a serverless option of Amazon Redshift that allows you to run and scale analytics without having to provision and manage data warehouse clusters. Redshift Serverless automatically provisions and intelligently scales data warehouse capacity to deliver high performance for all your analytics.

Data Lake 68

Data Lake Cost-Benefit Dashboards Data Warehouse 68

Jet Global

FEBRUARY 5, 2019

Read our latest white paper to learn more about the best ways to simplify data management and the value that a data warehouse built specifically for your Dynamics solution can bring to your decision-making abilities. Prepare Your Data for Accurate Business Analytics and Intelligence. Download Now.

Data Quality 69

Data Quality Data Warehouse Business Intelligence Data Governance 69

Jet Global

APRIL 2, 2019

Which problems do disparate data points speak to? And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing. Get Insight Now. The post The Enterprise AI Revolution Starts with BI appeared first on Jet Global.

Enterprise 80

Enterprise OLAP Business Intelligence Internet of Things 80

Octopai

FEBRUARY 12, 2020

Having a data dictionary means any potential user will be able to understand the data in a data warehouse. By defining the metadata that is created by the data stored in the system, you can isolate relevant information and identify which variables impact the results of the data. Download Now.

Metadata 54

Metadata Enterprise Management Data Warehouse 54

Jet Global

MAY 6, 2020

It’s faster to implement that way, and by circumventing data warehouses, it retrieves data with near real-time speeds. . Download our whitepaper Oracle NetSuite: Enhancing Cloud-Based Reporting. Unlike other pieces of supplemental software, ours connects to the back end of NetSuite rather than laying over the top.

Forecasting 59

Forecasting Data Warehouse Software Reporting 59

AWS Big Data

MARCH 17, 2023

Configure Amazon S3 The first step is to create an S3 bucket to store the earthquake dataset, as follows: Download the CSV file of historical earthquakes from GitHub. For Bucket name , enter a globally unique name for your data bucket. pip install shapely GeoJSON is a popular format for storing spatial data in a JSON format.

Visualization 91

Visualization Machine Learning Consulting Data Warehouse 91