AWS Big Data

FEBRUARY 21, 2023

Business intelligence (BI) with dashboards, reports, and analytics remains one of the most popular use cases for data and analytics. Amazon Redshift is a fully managed cloud data warehouse service that enables you to analyze large amounts of structured and semi-structured data.

Visualization 52

Visualization Dashboards Data Warehouse Cost-Benefit 52

AWS Big Data

MARCH 26, 2024

The following diagram illustrates the different pipelines to ingest data from various source systems using AWS services. Data storage Structured, semi-structured, or unstructured batch data is stored in an object storage because these are cost-efficient and durable.

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

bridgei2i

FEBRUARY 8, 2019

However, this is more of an operations/procurement focused or cost benefit. A 2017 white paper produced by Harvard Business Review in collaboration with Apttus states that “B2B revenue generation processes offer huge opportunities to benefit from the (AI) technologies.” to propose a discount rate most likely to win you the deal.

Sales 40

Sales B2B Cost-Benefit Structured Data 40

AWS Big Data

MARCH 27, 2024

The Data Catalog objects are listed under the awsdatacatalog database. FHIR data stored in AWS HealthLake is highly nested. To learn about how to un-nest semi-structured data with Amazon Redshift, see Tutorial: Querying nested data with Amazon Redshift Spectrum. Use the following query to flatten data: SELECT data."

Data Analytics 90

Data Analytics Analytics Data Warehouse Data Lake 90

AWS Big Data

MARCH 25, 2024

Both engines provide native ingestion support from Kinesis Data Streams and Amazon MSK via a separate streaming pipeline to a data lake or data warehouse for analysis. OpenSearch Service offers visualization capabilities powered by OpenSearch Dashboards and Kibana (1.5

Data Lake 89

Data Lake Unstructured Data Management Modeling 89

datapine

MAY 27, 2020

Use digital dashboards: When considering the question “what is an analytical report,” it’s important to think about the best medium in terms of usability and presentation. It is possible to structure data across a broad range of spreadsheets, but the final result can be more confusing than productive.

Reporting 245

Reporting Analytics Dashboards Sales 245

Sisense

JUNE 30, 2020

Simply put, data visualization means showing data in a visual format that makes insights easier to understand for human users. Data is usually visualized in a pictorial or graphical form such as charts, graphs, lists, maps, and comprehensive dashboards that combine these multiple formats.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

IBM Big Data Hub

APRIL 24, 2023

Data warehousing solutions drive business efficiency, build future analysis and predictions, enhance productivity, and improve business success. These solutions categorize and convert data into readable dashboards that anyone in a company can analyze. Companies require additional resources and people to process enterprise data.

Data Warehouse 89

Data Warehouse Data Lake Cost-Benefit Enterprise 89

Jet Global

FEBRUARY 6, 2024

You’ll have access to all the features you know and love, plus the added benefits of the integrated environment. This change is about more than just technology; it’s about optimizing your experience and empowering you to make data-driven decisions with greater ease and efficiency.

Dashboards 52

Dashboards Visualization Data-driven Reporting 52

Sisense

JULY 22, 2020

Traditionally all this data was stored on-premises, in servers, using databases that many of us will be familiar with, such as SAP, Microsoft Excel , Oracle , Microsoft SQL Server , IBM DB2 , PostgreSQL , MySQL , Teradata. However, cloud computing has grown rapidly because it offers more flexible, agile, and cost-effective storage solutions.

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

Sisense

MAY 11, 2021

We’re going to nerd out for a minute and dig into the evolving architecture of Sisense to illustrate some elements of the data modeling process: Historically, the data modeling process that Sisense recommended was to structure data mainly to support the BI and analytics capabilities/users.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

Cloudera

SEPTEMBER 6, 2018

The solution combines Cloudera Enterprise , the scalable distributed platform for big data, machine learning, and analytics, with riskCanvas , the financial crime software suite from Booz Allen Hamilton. It supports a variety of storage engines that can handle raw files, structured data (tables), and unstructured data.

Machine Learning 40

Machine Learning Big Data Risk Unstructured Data 40

Cloudera

APRIL 1, 2024

The following are key attributes of our platform that set Cloudera apart: Unlock the Value of Data While Accelerating Analytics and AI The data lakehouse revolutionizes the ability to unlock the power of data. LLMs in our Cloudera Machine Learning (CML) service intelligently assist you in data science and AI projects.

Unstructured Data 105

Unstructured Data Cost-Benefit Metadata Machine Learning 105

Jet Global

MAY 9, 2024

Data pipelines play a critical role in modern data-driven organizations by enabling the seamless flow and transformation of substantial amounts of data across various systems and apps. Once processed, the data is routed and delivered to one or more destinations, such as a data warehouse, data lake , or other storage solution.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52