AWS Big Data

NOVEMBER 9, 2023

It allows users to write data transformation code, run it, and test the output, all within the framework it provides. Use case The Enterprise Data Analytics group of a large jewelry retailer embarked on their cloud journey with AWS in 2021. Create boto3 client for Glue glue_client = boto3.client('glue',

Data Warehouse 104

Data Warehouse Testing Data Quality Reporting 104

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 111

Data Warehouse Cost-Benefit Sales Data-driven 111

Smart Data Collective

APRIL 29, 2020

The extraction of raw data, transforming to a suitable format for business needs, and loading into a data warehouse. Data transformation. This process helps to transform raw data into clean data that can be analysed and aggregated. Data analytics and visualisation. Reference data management.

Management 84

Management Data Warehouse Digital Transformation Dashboards 84

CIO Business Intelligence

JUNE 23, 2023

Utilize automation, data analytics, and AI/ML Many of today’s modern data platforms go beyond the traditional relational database, data warehouse, and data mart to provide built-in support for automation and AI/ML.

Data Strategy 104

Data Strategy Strategy Visualization Consulting 104

AWS Big Data

JUNE 6, 2023

In this post, we highlight the seamless integration of Amazon Athena and Amazon QuickSight , which enables the visualization of operational metrics for AWS Glue Data Quality rule evaluation in an efficient and effective manner. The crawler builds a Data Catalog, so the data can be queried using Athena. Choose Visualize.

Data Quality 69

Data Quality Metrics Visualization Dashboards 69

datapine

NOVEMBER 19, 2019

Social BI indicates the process of gathering, analyzing, publishing, and sharing data, reports, and information. This is done using interactive Business Intelligence and Analytics dashboards along with intuitive tools to improve data clarity. Analytical tools are used to achieve user understanding and comfort.

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

Andrew White

DECEMBER 9, 2019

Analytical quality and analytics. Downstream in the analytics pipeline. Scope could be: Data (i.e. Information (processed data). Analytic (the analytics itself). Records (files, or what you might all unstructured data). Events or transactions. Images (i.e. Anything else you can think of.

Analytics 66

Analytics Data Lake Data Governance Metadata 66

AWS Big Data

JANUARY 24, 2023

Use cases can include the following: Dashboarding – A webpage consisting of tables and charts where each component can offer insights to a specific business department. Reporting and analysis – An application where you can trigger large analytical queries with dynamic inputs and then view or download the results.

Analytics 57

Analytics Data-driven Management Reporting 57

AWS Big Data

JUNE 29, 2023

Amazon Kinesis Data Analytics makes it easy to transform and analyze streaming data in real time. In this post, we discuss why AWS recommends moving from Kinesis Data Analytics for SQL Applications to Amazon Kinesis Data Analytics for Apache Flink to take advantage of Apache Flink’s advanced streaming capabilities.

Data Analytics 73

Data Analytics Analytics IoT Data Lake 73

AWS Big Data

NOVEMBER 1, 2023

Amazon Redshift is a fully managed, petabyte scale cloud data warehouse that enables you to analyze large datasets using standard SQL. Data warehouse workloads are increasingly being used with mission-critical analytics applications that require the highest levels of resilience and availability.

Data Warehouse 93

Data Warehouse Snapshot Testing Management 93

AWS Big Data

NOVEMBER 13, 2023

Amazon Redshift is a fully managed data warehousing service that offers both provisioned and serverless options, making it more efficient to run and scale analytics without having to manage your data warehouse. These upstream data sources constitute the data producer components.

Data Warehouse 90

Data Warehouse Data Lake Analytics Data Science 90

AWS Big Data

JUNE 6, 2023

Unless, of course, the rest of their data also resides in the Google Cloud. In this post we showcase how we used AWS Glue to move siloed digital analytics data, with inconsistent arrival times, to AWS S3 (our Data Lake) and our central data warehouse (DWH), Snowflake.

Analytics 56

Analytics Data Lake Testing Optimization 56

AWS Big Data

OCTOBER 18, 2023

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. Modern analytics is much wider than SQL-based data warehousing. Fault tolerance is built in. Any hardware failures are automatically replaced.

Analytics 95

Analytics Data Warehouse Testing Dashboards 95

AWS Big Data

JUNE 28, 2023

There are two broad approaches to analyzing operational data for these use cases: Analyze the data in-place in the operational database (e.g. With Aurora zero-ETL integration with Amazon Redshift, the integration replicates data from the source database into the target data warehouse. or higher version) database.

Data Warehouse 83

Data Warehouse Analytics Metrics Dashboards 83

AWS Big Data

DECEMBER 8, 2023

More and more of FanDuel’s community of analysts and business users looked for comprehensive data solutions that centralized the data across the various arms of their business. Their individual, product-specific, and often on-premises data warehouses soon became obsolete.

Data Warehouse 67

Data Warehouse Cost-Benefit KPI Risk 67

datapine

NOVEMBER 19, 2019

Social BI indicates the process of gathering, analyzing, publishing, and sharing data, reports, and information. This is done using interactive Business Intelligence and Analytics dashboards along with intuitive tools to improve data clarity. Analytical tools are used to achieve user understanding and comfort.

Business Intelligence 20

Business Intelligence Knowledge Discovery Unstructured Data Software 20

AWS Big Data

JULY 12, 2023

Organizations use their data to extract valuable insights and drive informed business decisions. Introduction to Amazon Redshift Amazon Redshift is a fast, fully-managed, self-learning, self-tuning, petabyte-scale, ANSI-SQL compatible, and secure cloud data warehouse.

Data Warehouse 52

Data Warehouse Modeling Dashboards Data Lake 52

AWS Big Data

MARCH 26, 2024

You can subscribe to data products that help enrich customer profiles, for example demographics data, advertising data, and financial markets data. Amazon Kinesis ingests streaming events in real time from point-of-sales systems, clickstream data from mobile apps and websites, and social media data.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

AWS Big Data

OCTOBER 4, 2023

An Amazon DataZone domain contains an associated business data catalog for search and discovery, a set of metadata definitions to decorate the data assets that are used for discovery purposes, and data projects with integrated analytics and ML tools for users and groups to consume and publish data assets.

Metadata 100

Metadata Data Lake Publishing Data Governance 100

IBM Big Data Hub

MAY 9, 2023

We are also building models trained on different types of business data, including code, time-series data, tabular data, geospatial data and IT events data. With watsonx.data , businesses can quickly connect to data, get trusted insights and reduce data warehouse costs.

Data Warehouse 109

Data Warehouse Cost-Benefit Machine Learning Modeling 109

AWS Big Data

FEBRUARY 21, 2023

Data warehouses play a vital role in healthcare decision-making and serve as a repository of historical data. A healthcare data warehouse can be a single source of truth for clinical quality control systems. What is a dimensional data model? What is a dimensional data model? What is a data vault?

Data Warehouse 63

Data Warehouse Data Lake Cost-Benefit Modeling 63

Sisense

JANUARY 15, 2021

Big data is now modeled and queried using advanced coding languages like SQL, Python, and R. And rather than answering prescriptive questions — something that BI teams excel at — data teams are able to model future events and understand how changing a past variable could have affected the present.

Analytics 75

Analytics Data-driven Business Intelligence Visualization 75

IBM Big Data Hub

OCTOBER 27, 2022

Working with Lindt’s key stakeholders on the supply chain team, they identified key priorities for migrating the team from its legacy tools to Cognos Analytics’ modern data analytics toolset. How can we drill into the data to identify underlying factors and get a better outcome?

Slice and Dice 52

Slice and Dice Analytics Sales Business Intelligence 52

AWS Big Data

FEBRUARY 22, 2023

The data lake implemented by Ruparupa uses Amazon S3 as the storage platform, AWS Database Migration Service (AWS DMS) as the ingestion tool, AWS Glue as the ETL (extract, transform, and load) tool, and QuickSight for analytic dashboards. The audience of these few reports was limited—a maximum of 20 people from management.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

CIO Business Intelligence

MAY 24, 2022

Unlocking the value of data with in-depth advanced analytics, focusing on providing drill-through business insights. Providing a platform for fact-based and actionable management reporting, algorithmic forecasting and digital dashboarding. zettabytes of data. FOUNDATIONS OF A MODERN DATA DRIVEN ORGANISATION.

Data-driven 80

Data-driven Data Lake Data Warehouse Cost-Benefit 80

Alation

OCTOBER 27, 2022

Few actors in the modern data stack have inspired the enthusiasm and fervent support as dbt. This data transformation tool enables data analysts and engineers to transform, test and document data in the cloud data warehouse. Bindu Chandramohan, Lead, Data Analytics, Alation : Thanks, Jason!

Metrics 52

Metrics Dashboards Sales Reporting 52

Cloudera

AUGUST 20, 2021

Analytical Outcome: CDP delivers multiple analytical outcomes including, to name a few, operational dashboards via the CDP Operational Database experience or ad-hoc analytics via the CDP Data Warehouse to help surface insights related to a business domain.

Strategy 94

Strategy Cost-Benefit Visualization Data Warehouse 94

AWS Big Data

MARCH 3, 2023

Additionally, the scale is significant because the multi-tenant data sources provide a continuous stream of testing activity, and our users require quick data refreshes as well as historical context for up to a decade due to compliance and regulatory demands. Finally, data integrity is of paramount importance.

Software 52

Software Data Lake Testing Cost-Benefit 52

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. These two functions are nearly inseparable as we move further into a world of analytics that blends sources of varying volume, variety, veracity, and velocity. When it comes to data modeling, function determines form.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

Cloudera

JUNE 16, 2022

CSP was recently recognized as a leader in the 2022 GigaOm Radar for Streaming Data Platforms report. Apache Flink is a distributed processing engine for stateful computations ideally suited for real-time, event-driven applications. In 2020, to address this need, Apache Flink was added to the Cloudera Stream Processing offering.

Data Lake 84

Data Lake Manufacturing Metadata Dashboards 84

Cloudera

APRIL 1, 2024

This recognition underscores Cloudera’s commitment to continuous customer innovation and validates our ability to foresee future data and AI trends, and our strategy in shaping the future of data management. Cloudera, a leader in big data analytics, provides a unified Data Platform for data management, AI, and analytics.

Unstructured Data 101

Unstructured Data Cost-Benefit Metadata Machine Learning 101

Jet Global

APRIL 24, 2024

This, combined with the ability to design custom Chatflows, ensures you can deliver the AI user experience that perfectly complements your application and resonates with your customers – making complex data analytics intuitive and effective for informed, data-driven decisions. Our chatflows go beyond standalone tools.

Business Intelligence 52

Business Intelligence Dashboards Software Reporting 52

Jet Global

APRIL 18, 2024

By leveraging technology to automate planning processes, you can deploy real-time data analytics, scenario modeling, and forecasting capabilities. Easy configuration of planning forms, reports, and dashboards, coupled with driver-based models, makes it simple to extend planning beyond finance.

Forecasting 52

Forecasting Finance Dashboards Reporting 52

Jet Global

DECEMBER 4, 2023

Insufficient functionality and dashboards – ISVs face demands from their users to uplevel their reporting (e.g., How Embedded Analytics Boots Data-Driven Applications: The speed at which data comes into organizations is fast and furious. I understand that I can withdraw my consent at any time. Privacy Policy.

Analytics 52

Analytics Reporting Dashboards Software 52

Jet Global

JULY 1, 2022

Improved reliability in master data and transactional data. With direct, multi-source connectivity and drag-and-drop editing, you have everything at hand to create interactive reports and dashboards to support day-to-day decision making. Interested in Business Analytics and Dashboards. What to expect.

Operational Reporting 98

Operational Reporting Reporting Finance Dashboards 98

Jet Global

MAY 24, 2023

Enhance Your Operational Reporting Needs with Angles for Oracle (APAC) Download Now Angles hosts our Oracle Cloud Smarts – business views and dashboards that have been purpose-built for Oracle Cloud applications. Oracle Cloud Smarts is insightsoftware’s library of easily accessible pre-built content, including business views and dashboards.

Operational Reporting 52

Operational Reporting Reporting Finance Dashboards 52

Jet Global

FEBRUARY 5, 2024

Yet, inaccurate reporting due to unreliable or outdated data within SAP can paint a misleading picture. Additionally, inefficient dashboards and analytics hinder visibility into resource consumption patterns, making it difficult to pinpoint energy-intensive processes and implement resource-efficient measures. Privacy Policy.

Optimization 52

Optimization Operational Reporting Manufacturing Reporting 52