AWS Big Data

NOVEMBER 9, 2023

Building a data platform involves various approaches, each with its unique blend of complexities and solutions. In this post, we delve into a case study for a retail use case, exploring how the Data Build Tool (dbt) was used effectively within an AWS environment to build a high-performing, efficient, and modern data platform.

Data Warehouse 109

Data Warehouse Testing Data Quality Reporting 109

Cloudera

JULY 21, 2022

Cloudera users can securely connect Rill to a source of event stream data, such as Cloudera DataFlow , model data into Rill’s cloud-based Druid service, and share live operational dashboards within minutes via Rill’s interactive metrics dashboard or any connected BI solution. Data is made queryable in real time.

Metrics 83

Metrics Slice and Dice Data Warehouse Dashboards 83

FineReport

APRIL 21, 2024

This integration results in a more tailored experience, as embedded instances work directly with the data structure, eliminating the need for data transfers between separate applications. Embedded BI tools empower business users to analyze data independently, reducing reliance on IT teams for report generation.

Dashboards 52

Dashboards Visualization Interactive Business Intelligence 52

Smart Data Collective

APRIL 29, 2020

What is data management? Data management can be defined in many ways. The extraction of raw data, transforming to a suitable format for business needs, and loading into a data warehouse. Data transformation. Data analytics and visualisation. Reference data management. SharePoint.

Management 83

Management Data Warehouse Digital Transformation Dashboards 83

datapine

SEPTEMBER 29, 2022

What Is Data Quality Management (DQM)? Data quality management is a set of practices that aim at maintaining a high quality of information. It goes all the way from the acquisition of data and the implementation of advanced data processes, to an effective distribution of data.

Data Quality 241

Data Quality Metrics Data-driven Management 241

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 88

Enterprise Data Warehouse Data Lake Optimization 88

IBM Big Data Hub

OCTOBER 16, 2023

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. In other words, instead of training numerous models on labeled, task-specific data, it’s now possible to pre-train one big model built on a transformer and then, with additional fine-tuning, reuse it as needed.

Risk 76

Risk Modeling Management Metadata 76

AWS Big Data

MARCH 16, 2023

Amazon Redshift is a fully managed data warehouse service that tens of thousands of customers use to manage analytics at scale. A source of unpredictable workloads is dbt Cloud , which SafetyCulture uses to manage data transformations in the form of models.

Data Warehouse 52

Data Warehouse Testing Snapshot Modeling 52

DataKitchen

OCTOBER 5, 2021

Data operations (or data production) is a series of pipeline procedures that take raw data, progress through a series of processing and transformation steps, and output finished products in the form of dashboards, predictions, data warehouses or whatever the business requires. They are “done,” right?

Testing 152

Testing Dashboards Measurement Experimentation 152

AWS Big Data

SEPTEMBER 19, 2023

However, our legacy data warehouse-based solution was not equipped for this challenge. However, with a minimum data freshness of 10 minutes, this architecture inherently didn’t align with the near real-time fraud detection use case. Amazon DynamoDB is another data source for our Streaming 2.0

Analytics 82

Analytics Risk Big Data Machine Learning 82

AWS Big Data

MARCH 3, 2023

Although Tricentis has amassed such data over a decade, the data remains untapped for valuable insights. Each of these tools has its own reporting capabilities that make it difficult to combine the data for integrated and actionable business insights.

Software 52

Software Data Lake Testing Cost-Benefit 52

AWS Big Data

MARCH 15, 2023

The API retrieves data at runtime from an Amazon Aurora PostgreSQL-Compatible Edition database for end-user consumption. To populate the database, the Infomedia team developed a data pipeline using Amazon Simple Storage Service (Amazon S3) for data storage, AWS Glue for data transformations, and Apache Hudi for CDC and record-level updates.

Cost-Benefit 68

Cost-Benefit Data Processing Optimization Data-driven 68

AWS Big Data

MARCH 3, 2023

You can then apply transformations and store data in Delta format for managing inserts, updates, and deletes. Amazon EMR Serverless is a serverless option in Amazon EMR that makes it easy for data analysts and engineers to run open-source big data analytics frameworks without configuring, managing, and scaling clusters or servers.

Data Lake 85

Data Lake Dashboards Metrics Metadata 85

AWS Big Data

MAY 25, 2023

Data transformation plays a pivotal role in providing the necessary data insights for businesses in any organization, small and large. To gain these insights, customers often perform ETL (extract, transform, and load) jobs from their source systems and output an enriched dataset.

Reporting 71

Reporting Metrics Optimization Data Lake 71

O'Reilly on Data

OCTOBER 19, 2021

Why: Data Makes It Different. If you ask an engineer to show how they operate the application in production, they will likely show containers and operational dashboards—not unlike any other software service. However, the concept is quite abstract. Can’t we just fold it into existing DevOps best practices?

IT 346

IT Testing Experimentation Software 346

Alation

JANUARY 17, 2023

Chances are, you’ve heard of the term “modern data stack” before. In this article, I will explain the modern data stack in detail, list some benefits, and discuss what the future holds. It is known to have benefits in handling data due to its robustness, speed, and scalability. Extract, load, Transform (ELT) tools.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

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 77

Data Analytics Analytics IoT Data Lake 77

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. But what does this mean from a practitioner perspective?

Metrics 52

Metrics Dashboards Sales Reporting 52

Cloudera

JUNE 30, 2022

These tools empower analysts and data scientists to easily collaborate on the same data, with their choice of tools and analytic engines. No more lock-in, unnecessary data transformations, or data movement across tools and clouds just to extract insights out of the data.

Data Lake 84

Data Lake Data Architecture Metadata Data Warehouse 84

Cloudera

NOVEMBER 29, 2021

Data transforms businesses. That’s where the data lifecycle comes into play. Managing data and its flow, from the edge to the cloud, is one of the most important tasks in the process of gaining data intelligence. . The firm also worked on creating a solid pipeline from the data warehouse to the data lake.

Data Lake 76

Data Lake Data Warehouse Data Architecture Reporting 76

Sisense

MAY 11, 2021

Data modeling is a sprawling topic but, at its core, it is the function that takes data in one structure and outputs it in another structure. The output structure is perhaps the most interesting and ultimately should be the key driver for how we model our data. When it comes to data modeling, function determines form.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

CIO Business Intelligence

NOVEMBER 7, 2023

For years, IT and business leaders have been talking about breaking down the data silos that exist within their organizations. Given the importance of sharing information among diverse disciplines in the era of digital transformation, this concept is arguably as important as ever.

Data Warehouse 141

Data Warehouse Digital Transformation Data-driven Reporting 141

IBM Big Data Hub

JUNE 15, 2023

The proliferation of data silos also inhibits the unification and enrichment of data which is essential to unlocking the new insights. Moreover, increased regulatory requirements make it harder for enterprises to democratize data access and scale the adoption of analytics and artificial intelligence (AI).

Data Warehouse 95

Data Warehouse Data Lake Optimization Data-driven 95

Jet Global

APRIL 24, 2024

And embedding AI into analytics isn’t just about providing data insights, it’s about delivering information in a relevant and actionable way. At a high level, Logi Symphony embeds Logi AI through a simple chatbot with contextual information about your reports, dashboards, and more.

Business Intelligence 52

Business Intelligence Dashboards Software Reporting 52

Jet Global

OCTOBER 30, 2023

However, leveraging these insights can be challenging if your reports and data don’t speak to each other. It can lead to outdated and inconsistent data, hindering timely decision-making processes. This means that you likely aren’t able to access the data you need the way you need it.

Dashboards 52

Dashboards Reporting Operational Reporting Software 52

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

Jet Global

JULY 19, 2023

The General Self-Service Enhancements in the latest product release include: View/Edit Mode for a Dashboard offers further customization and engagement options for end-users. View mode must respect interactivity, responsive layout and limit operations with dashboard. Simba Partnership now offers two new options for data connectors.

Dashboards 52

Dashboards Visualization Reporting Interactive 52

Jet Global

AUGUST 24, 2023

Although many companies run their own on-premises servers to maintain IT infrastructure, nearly half of organizations already store data on the public cloud. While you can maintain efficiency through your legacy ERP, aligning data and processes with your new cloud system comes with its challenges.

Finance 52

Finance Reporting Data Integration Risk 52

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

Jet Global

MAY 1, 2023

We hope this guide will transform how you build value for your products with embedded analytics. that gathers data from many sources. These tools prep that data for analysis and then provide reporting on it from a central viewpoint. These systems are designed for people whose primary job is data analysis. Consider Delta.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

MARCH 13, 2024

While Microsoft Dynamics is a powerful platform for managing business processes and data, Dynamics AX users and Dynamics 365 Finance & Supply Chain Management (D365 F&SCM) users are only too aware of how difficult it can be to blend data across multiple sources in the Dynamics environment.

Reporting 52

Reporting Finance Data Quality Sales 52