Cloudera

AUGUST 17, 2021

When we announced the GA of Cloudera Data Engineering back in September of last year, a key vision we had was to simplify the automation of data transformation pipelines at scale. Let’s take a common use-case for Business Intelligence reporting. Figure 2: Example BI reporting data pipeline.

Management 110

Management Cost-Benefit Data Transformation Optimization 110

AWS Big Data

OCTOBER 11, 2023

Traditionally, such a legacy call center analytics platform would be built on a relational database that stores data from streaming sources. Data transformations through stored procedures and use of materialized views to curate datasets and generate insights is a known pattern with relational databases.

Management 108

Management Metadata Analytics Dashboards 108

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

DataKitchen

OCTOBER 25, 2022

It’s because it’s a hard thing to accomplish when there are so many teams, locales, data sources, pipelines, dependencies, data transformations, models, visualizations, tests, internal customers, and external customers. That data then fills several database tables. It’s not just a fear of change.

Testing 130

Testing Data-driven Visualization Dashboards 130

AWS Big Data

FEBRUARY 6, 2023

For data pipeline orchestration, the Apache Airflow UI is a user-friendly tool that provides detailed views into your data pipeline. When it comes to pipeline health management, each service that your tasks are interacting with could be storing or publishing logs to different locations, such as an S3 bucket or Amazon CloudWatch logs.

Management 87

Management Interactive Metadata Publishing 87

IBM Big Data Hub

JANUARY 18, 2023

Data platform architecture has an interesting history. Towards the turn of millennium, enterprises started to realize that the reporting and business intelligence workload required a new solution rather than the transactional applications. A read-optimized platform that can integrate data from multiple applications emerged.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

AWS Big Data

MARCH 3, 2023

It has been well published since the State of DevOps 2019 DORA Metrics were published that with DevOps, companies can deploy software 208 times more often and 106 times faster, recover from incidents 2,604 times faster, and release 7 times fewer defects. Fixed-size data files avoid further latency due to unbound file sizes.

Software 52

Software Data Lake Testing Cost-Benefit 52

AWS Big Data

NOVEMBER 29, 2023

dbt is an open source, SQL-first templating engine that allows you to write repeatable and extensible data transforms in Python and SQL. dbt is predominantly used by data warehouses (such as Amazon Redshift ) customers who are looking to keep their data transform logic separate from storage and engine.

Data Lake 106

Data Lake Management Metrics Data Warehouse 106

Smart Data Collective

OCTOBER 13, 2021

There are countless examples of big data transforming many different industries. There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough. Data virtualization is ideal in any situation where the is necessary: Information coming from diverse data sources.

Visualization 135

Visualization Cost-Benefit Big Data Prescriptive Analytics 135

erwin

MARCH 26, 2020

David Loshin explores this concept in an erwin-sponsored whitepaper, Data Intelligence: Empowering the Citizen Analyst with Democratized Data. In the whitepaper he states, the priority of the citizen analyst is straightforward: find the right data to develop reports and analyses that support a larger business case.

Data-driven 90

Data-driven Unstructured Data Enterprise Finance 90

Jet Global

MAY 6, 2024

Despite the transformative potential of AI, a large number of finance teams are hesitating, waiting for this emerging technology to mature before investing. According to a recent Gartner report, a staggering 61% of finance organizations haven’t yet adopted AI. This eliminates data fragmentation, a major obstacle for AI.

Finance 52

Finance Reporting Data Transformation Optimization 52

Jet Global

OCTOBER 30, 2023

However, leveraging these insights can be challenging if your reports and data don’t speak to each other. Disconnected enterprise performance management (EPM) operational reporting can present significant limitations and challenges for your business. Transforming Financial Reporting with Dynamic Dashboards Download Now 1.

Dashboards 52

Dashboards Reporting Operational Reporting Software 52

Jet Global

AUGUST 24, 2023

Given your organizations focus on productivity, you know soon your team will working in a divided reporting environment. While the cloud infrastructure promises to bring positive changes, your company’s data will exist in both worlds: on-prem and the cloud.

Finance 52

Finance Reporting Data Integration Risk 52

Jet Global

APRIL 24, 2024

In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your data analysis? Users can ask specific questions about the data; for example, asking what a particular data value was on a particular date.

Business Intelligence 52

Business Intelligence Dashboards Software Reporting 52

Jet Global

JULY 19, 2023

Self-Service Scheduling allows timed delivery of dashboard reports for users outside of Composer (anonymous case). Insiders' Guide to Self-Service Analytics Download Now Visual Enhancements Application and development teams are moving beyond data visualization to data storytelling.

Dashboards 52

Dashboards Visualization Reporting Interactive 52

Jet Global

FEBRUARY 23, 2024

This field guide to data mapping will explore how data mapping connects volumes of data for enhanced decision-making. Why Data Mapping is Important Data mapping is a critical element of any data management initiative, such as data integration, data migration, data transformation, data warehousing, or automation.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. 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

MAY 1, 2023

But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. that gathers data from many sources. These tools prep that data for analysis and then provide reporting on it from a central viewpoint. These reports are critical to making decisions.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

NOVEMBER 7, 2023

When extracting your financial and operational reporting data from a cloud ERP, your enterprise organization needs accurate, cost-efficient, user-friendly insights into that data. While real-time extraction is historically faster, your team needs the reliability of the replication process for your cloud data extraction.

Enterprise 52

Enterprise Data Warehouse Operational Reporting Reporting 52

Jet Global

MARCH 13, 2024

Between complex data structures, data security questions, and error-prone manual processes, merging data from disparate sources into a single system can quickly turn your routine reporting processes into a stressful and time-consuming ordeal.

Reporting 52

Reporting Finance Data Quality Sales 52

Jet Global

AUGUST 9, 2023

Increased Efficiency and Time Savings: Instead of spending days or even weeks reconciling accounts and preparing financial reports, finance teams can complete these tasks in a fraction of the time, allowing them to focus on more strategic and value-added activities. Speed time to market with faster data migration, easier data transformation.

Finance 52

Finance Reporting Management Enterprise 52

Jet Global

MARCH 14, 2024

Data Lineage and Documentation Jet Analytics simplifies the process of documenting data assets and tracking data lineage in Fabric. It offers a transparent and accurate view of how data flows through the system, ensuring robust compliance.

Analytics 52

Analytics Management Reporting Enterprise 52