AWS Big Data

MARCH 29, 2024

In Part 2 of this series, we discussed how to enable AWS Glue job observability metrics and integrate them with Grafana for real-time monitoring. Grafana provides powerful customizable dashboards to view pipeline health. QuickSight makes it straightforward for business users to visualize data in interactive dashboards and reports.

Metrics 107

Metrics Visualization Dashboards Interactive 107

AWS Big Data

NOVEMBER 13, 2023

11:30 AM – 12:30 PM (PDT) Ceasars Forum ANT318 | Accelerate innovation with end-to-end serverless data architecture. 4:30 PM – 5:30 PM (PDT) Wynn ANT207 | Understand your data with business context. 1:00 PM – 2:00 PM (PDT) Venetian ANT201 | Accelerate innovation with real-time data.

Analytics 111

Analytics Data Lake Data Warehouse Data-driven 111

AWS Big Data

NOVEMBER 20, 2023

For any modern data-driven company, having smooth data integration pipelines is crucial. These pipelines pull data from various sources, transform it, and load it into destination systems for analytics and reporting. When running properly, it provides timely and trustworthy information.

Metrics 97

Metrics Data Lake Cost-Benefit Dashboards 97

AWS Big Data

NOVEMBER 7, 2023

Third, AWS continues adding support for more data sources including connections to software as a service (SaaS) applications, on-premises applications, and other clouds so organizations can act on their data. They used Amazon Aurora MySQL zero-ETL integration with Amazon Redshift to achieve this.

Dashboards 73

Dashboards Data-driven Data Integration Data Lake 73

AWS Big Data

NOVEMBER 29, 2023

Zero-ETL integration also enables you to load and analyze data from multiple operational database clusters in a new or existing Amazon Redshift instance to derive holistic insights across many applications. Learn more about the zero-ETL integrations, data lake performance enhancements, and other announcements below.

Data Warehouse 102

Data Warehouse Data Lake Analytics Machine Learning 102

Jet Global

MAY 9, 2024

The key components of a data pipeline are typically: Data Sources : The origin of the data, such as a relational database , data warehouse, data lake , file, API, or other data store. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

AWS Big Data

NOVEMBER 29, 2023

You also need services to store data for analysis and machine learning (ML) like Amazon Simple Storage Service (Amazon S3). Customers have created hundreds of thousands of data lakes on Amazon S3. We also announced that Amazon Q can help you create data integration pipelines using natural language.

Data Warehouse 109

Data Warehouse Data Lake Data Integration Dashboards 109

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

Juice Analytics

MAY 11, 2020

Among all the hot analytics initiatives to choose from (big data, IoT, NLP, data storytelling, cognitive BI, GDPR), plain old reporting is what is considered the most important strategic initiative. But seriously, reporting? That has to be the most boring term in all of analytics. How can you not think of "TPS Reports"?

Reporting 115

Reporting Analytics IT Data Lake 115

AWS Big Data

DECEMBER 18, 2023

Amazon Redshift powers data-driven decisions for tens of thousands of customers every day with a fully managed, AI-powered cloud data warehouse, delivering the best price-performance for your analytics workloads. Discover how you can use Amazon Redshift to build a data mesh architecture to analyze your data.

Data Warehouse 100

Data Warehouse Machine Learning Data-driven Data Lake 100

AWS Big Data

MARCH 27, 2024

AWS has invested in a zero-ETL (extract, transform, and load) future so that builders can focus more on creating value from data, instead of having to spend time preparing data for analysis. This means you no longer have to create an external schema in Amazon Redshift to use the data lake tables cataloged in the Data Catalog.

Data Analytics 93

Data Analytics Analytics Data Warehouse Data Lake 93

BizAcuity

AUGUST 1, 2022

TIBCO Jaspersoft offers a complete BI suite that includes reporting, online analytical processing (OLAP), visual analytics , and data integration. The web-scale platform enables users to share interactive dashboards and data from a single page with individuals across the enterprise. Data Security. Ad Hoc Analysis.

Reporting 52

Reporting OLAP Online Analytical Processing Dashboards 52

AWS Big Data

MARCH 26, 2024

Data ingestion You have to build ingestion pipelines based on factors like types of data sources (on-premises data stores, files, SaaS applications, third-party data), and flow of data (unbounded streams or batch data). Data exploration Data exploration helps unearth inconsistencies, outliers, or errors.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

AWS Big Data

JULY 13, 2023

In particular, they wanted to enable their account managers, sales executives, and analysts to use actual data and facts to get a 360 view of their accounts. Target – Dashboards to be refreshed on a daily basis that would provide insights on sales, gross profit, sales pipelines, and customers.

Optimization 92

Optimization B2B Data Quality Sales 92

Sisense

JULY 22, 2020

The trend has been towards using cloud-based applications and tools for different functions, such as Salesforce for sales, Marketo for marketing automation, and large-scale data storage like AWS or data lakes such as Amazon S3 , Hadoop and Microsoft Azure. Building dashboards and widgets.

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

IBM Big Data Hub

AUGUST 4, 2023

When effectively implemented, a data democracy simplifies the data stack, eliminates data gatekeepers, and makes the company’s comprehensive data platform easily accessible by different teams via a user-friendly dashboard. Then, it applies these insights to automate and orchestrate the data lifecycle.

Data Architecture 60

Data Architecture Data Lake Machine Learning Data Governance 60

AWS Big Data

JUNE 28, 2023

In case the data sources change, data engineers have to manually make changes in their code and deploy it again. Furthermore, the time required to build or change pipelines makes the data unfit for near-real-time use cases such as detecting fraudulent transactions, placing online ads, and tracking passenger train schedules.

Analytics 71

Analytics Data Warehouse Data Lake Data-driven 71

BizAcuity

MAY 16, 2022

So, make sure you have a data strategy in place. Data Integration. The easiest way to tap into data is integrating all your data to get a detailed understanding of your operations and your customers. Data mining. Data visualization is used to depict stories graphically using dashboards.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

CIO Business Intelligence

FEBRUARY 22, 2024

Consider your overall IT strategy to maximize your investment “Existing relationships with vendors may have some relevance as well in easing the implementation and data integration requirements,” says IDC’s Craven. Everyone from Salesforce to SAP to Oracle has some ESG functionality.

Software 74

Software Reporting KPI Enterprise 74

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. analyse the data, using business intelligence, visualisation or data science tools.

Data-driven 75

Data-driven Data Lake Data Warehouse Cost-Benefit 75

AWS Big Data

FEBRUARY 21, 2023

Loading complex multi-point datasets into a dimensional model, identifying issues, and validating data integrity of the aggregated and merged data points are the biggest challenges that clinical quality management systems face. Although data lakes resemble data vaults, a data vault provides more features of a data warehouse.

Data Warehouse 66

Data Warehouse Data Lake Cost-Benefit Modeling 66

AWS Big Data

JULY 19, 2023

We show how to perform extract, transform, and load (ELT), an integration process focused on getting the raw data from a data lake into a staging layer to perform the modeling. Lastly, we use Amazon QuickSight to gain insights on the modeled data in the form of a QuickSight dashboard.

Modeling 71

Modeling Sales Data Warehouse Snapshot 71

AWS Big Data

JUNE 6, 2023

AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning (ML), and application development. Hundreds of thousands of customers use data lakes for analytics and ML to make data-driven business decisions.

Data Quality 77

Data Quality Data Lake Data-driven Metrics 77

AWS Big Data

FEBRUARY 2, 2023

Since its launch in 2006, Amazon Simple Storage Service (Amazon S3) has experienced major growth, supporting multiple use cases such as hosting websites, creating data lakes, serving as object storage for consumer applications, storing logs, and archiving data. For Report path prefix , enter cur-data/account-cur-daily.

Reporting 89

Reporting Data Lake Management Optimization 89

Jet Global

OCTOBER 7, 2020

For anyone that needs to develop custom reports and dashboards, it all begins with understanding data entities. What Are Data Entities? In the future, customers will be able to deploy Data Entities and replicate transactional tables in an Azure Data Lake. Microsoft is currently developing this capability.

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

Cloudera

MAY 16, 2018

However, in this case, that output is ingested into a data lake. Instead of each group’s tools acting on the output in isolation, they leverage a common visual analytics platform that is native to the lake and uses all of the data without moving it to a separate server. Going Forward: Improved Economics.

Data Lake 42

Data Lake Risk Visualization Unstructured Data 42

Jet Global

FEBRUARY 23, 2024

Data mapping is essential for integration, migration, and transformation of different data sets; it allows you to improve your data quality by preventing duplications and redundancies in your data fields. Data mapping helps standardize, visualize, and understand data across different systems and applications.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

AWS Big Data

JULY 12, 2023

Amazon Redshift helps you break down the data silos and allows you to run unified, self-service, real-time, and predictive analytics on all data across your operational databases, data lake, data warehouse, and third-party datasets with built-in governance.

Data Warehouse 52

Data Warehouse Modeling Dashboards Data Lake 52

Alation

JANUARY 27, 2022

Creating a single view of any data, however, requires the integration of data from disparate sources. Data integration is valuable for businesses of all sizes due to the many benefits of analyzing data from different sources. But data integration is not trivial.

Data Governance 52

Data Governance Analytics Cost-Benefit Data-driven 52

IBM Big Data Hub

DECEMBER 16, 2022

For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance. It uses metadata and data management tools to organize all data assets within your organization.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

Jet Global

JUNE 13, 2022

When migrating to the cloud, there are a variety of different approaches you can take to maintain your data strategy. Those options include: Data lake or Azure Data Lake Services (ADLS) is Microsoft’s new data solution, which provides unstructured date analytics through AI. Different Approaches to Migration.

Reporting 52

Reporting Data Lake Sales Operational Reporting 52

AWS Big Data

APRIL 20, 2023

In a modern data architecture, unified analytics enable you to access the data you need, whether it’s stored in a data lake or a data warehouse. One of the most common use cases for data preparation on Amazon Redshift is to ingest and transform data from different data stores into an Amazon Redshift data warehouse.

Visualization 80

Visualization Data Warehouse Big Data Data Lake 80

Jet Global

SEPTEMBER 30, 2022

What are the best practices for analyzing cloud ERP data? Data Management. How do we create a data warehouse or data lake in the cloud using our cloud ERP? How do I access the legacy data from my previous ERP? How can we rapidly build BI reports on cloud ERP data without any help from IT?

Reporting 52

Reporting Data Warehouse Operational Reporting Enterprise 52