Cloudera

JULY 21, 2022

As creators and experts in Apache Druid, Rill understands the data store’s importance as the engine for real-time, highly interactive analytics. Combining the powerful Hive data warehouse with the fast operational analytics from Druid lets Cloudera customers accelerate their existing Hive workloads and achieve better performance.

Metrics 87

Metrics Slice and Dice Data Warehouse Dashboards 87

Jet Global

MAY 1, 2023

Introduction Why should I read the definitive guide to embedded analytics? But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

DataKitchen

OCTOBER 25, 2022

He thinks he can sell his boss and the CEO on this idea, but his pitch won’t go over well when they still have more than six major data errors every month. It relies on a hierarchy of data journeys , or representations of actual pipelines , that observe and track the processes within the end-to-end value chain of the data.

Testing 130

Testing Data-driven Visualization Dashboards 130

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 74

Data Analytics Analytics IoT Data Lake 74

Sisense

OCTOBER 15, 2020

Dealing with Data is your window into the ways data teams are tackling the challenges of this new world to help their companies and their customers thrive. Streaming data analytics is expected to grow into a $38.6 The best architecture for that is called “event sourcing.” billion market by 2025.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

AWS Big Data

OCTOBER 11, 2023

The data in the machine-readable files can provide valuable insights to understand the true cost of healthcare services and compare prices and quality across hospitals. The availability of machine-readable files opens up new possibilities for data analytics, allowing organizations to analyze large amounts of pricing data.

Visualization 96

Visualization Dashboards Data-driven Gap analysis 96

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? How does AI impact analytics and how do you get started? Forget the one-size-fits-all approach.

Business Intelligence 52

Business Intelligence Dashboards Software Reporting 52

datapine

SEPTEMBER 29, 2022

6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes. He/she assists the organization by providing clarity and insight into advanced data technology solutions.

Data Quality 241

Data Quality Metrics Data-driven Management 241

AWS Big Data

NOVEMBER 9, 2023

It does this by helping teams handle the T in ETL (extract, transform, and load) processes. It allows users to write data transformation code, run it, and test the output, all within the framework it provides. As part of their cloud modernization initiative, they sought to migrate and modernize their legacy data platform.

Data Warehouse 104

Data Warehouse Testing Data Quality Reporting 104

AWS Big Data

JUNE 20, 2023

Kinesis Data Firehose is a fully managed service for delivering near-real-time streaming data to various destinations for storage and performing near-real-time analytics. You can perform analytics on VPC flow logs delivered from your VPC using the Kinesis Data Firehose integration with Datadog as a destination.

Dashboards 85

Dashboards Visualization Metrics Data Transformation 85

Jet Global

JULY 19, 2023

This is especially true with our embedded analytics offering, Logi Symphony, where we regularly solicit feedback through insightsoftware’s customer community. Let’s explore some of the latest enhancements and how they improve our industry-leading embedded analytics solution. Here’s how it works.

Dashboards 52

Dashboards Visualization Reporting Interactive 52

Jet Global

OCTOBER 30, 2023

CXO Dashboards Meet Power BI to Turn Static Data Into Dynamic Insights A recent survey by insightsoftware reported that 89% of organizations feel they are not getting high-value data insights from their EPM. Together, CXO and Power BI provide you with access to insights from both EPM and BI data in one tool.

Dashboards 52

Dashboards Reporting Operational Reporting Software 52

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. SharePoint.

Management 83

Management Data Warehouse Digital Transformation Dashboards 83

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

AWS Big Data

FEBRUARY 6, 2023

Amazon QuickSight dashboards showcase the results from the analyzer. Transform the YARN job history logs from JSON to CSV After obtaining YARN logs, you run a YARN log organizer, yarn-log-organizer.py, which is a parser to transform JSON-based logs to CSV files. The corresponding QuickSight dashboards include four charts.

Dashboards 76

Dashboards Optimization Data Lake Cost-Benefit 76

AWS Big Data

MARCH 3, 2023

In this post, we share how the AWS Data Lab helped Tricentis to improve their software as a service (SaaS) Tricentis Analytics platform with insights powered by Amazon Redshift. Finally, data integrity is of paramount importance. For users that require a unified view of software quality, this is unacceptable.

Software 52

Software Data Lake Testing Cost-Benefit 52

AWS Big Data

FEBRUARY 26, 2024

In cases where your application demands supplementary query features, such as conducting full-text searches on the data stored in a table, you may explore the utilization of alternative services like Amazon OpenSearch Service to meet these particular needs. This allows for easy access and analysis of these events.

Dashboards 62

Dashboards Testing Metrics Optimization 62

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

IBM Big Data Hub

OCTOBER 16, 2023

Curated foundation models, such as those created by IBM or Microsoft, help enterprises scale and accelerate the use and impact of the most advanced AI capabilities using trusted data. In addition to natural language, models are trained on various modalities, such as code, time-series, tabular, geospatial and IT events data.

Risk 70

Risk Modeling Management Metadata 70

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 69

Reporting Metrics Optimization Data Lake 69

Jet Global

MARCH 13, 2024

Complex Data Structures and Integration Processes Dynamics data structures are already complex – finance teams navigating Dynamics data frequently require IT department support to complete their routine reporting. I understand that I can withdraw my consent at any time. Privacy Policy.

Reporting 52

Reporting Finance Data Quality Sales 52

AWS Big Data

MARCH 15, 2023

Performance and scalability of both the data pipeline and API endpoint were key success criteria. The data pipeline needed to have sufficient performance to allow for fast turnaround in the event that data issues needed to be corrected.

Cost-Benefit 66

Cost-Benefit Data Processing Optimization Data-driven 66

Jet Global

AUGUST 24, 2023

It streamlines data integration, ensures real-time access to accurate information, enhances collaboration, and provides the flexibility needed to adapt to evolving ERP systems and business requirements. Data transformation ensures that the data aligns with the requirements of the new cloud ERP system. Privacy Policy.

Finance 52

Finance Reporting Data Integration Risk 52

Birst BI

FEBRUARY 25, 2020

Managing large-scale data warehouse systems has been known to be very administrative, costly, and lead to analytic silos. The good news is that Snowflake, the cloud data platform, lowers costs and administrative overhead. The result is a lower total cost of ownership and trusted data and analytics.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Architecture Enterprise 52

Jet Global

MAY 28, 2019

A database is, by definition, ‘any collection of data organized for storage, accessibility, and retrieval.’ Databases usually consist of information arranged in rows, columns, and tables, organized mainly for easy input and collection of different events. while rows will contain the individual events and trades themselves.

Data Warehouse 85

Data Warehouse Reporting Business Intelligence Sales 85

bridgei2i

SEPTEMBER 3, 2020

So first, the ability to capture and synthesize data signals from multiple and diverse sources as events occur. So you don’t have to wait for a month to get data. You can, again, wait for two weeks after an event has happened. You need to know that the event is happening and do something about it now.

Enterprise 94

Enterprise Insurance Digital Transformation Interactive 94

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

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

Alation

OCTOBER 28, 2021

Data & analytics represents a major opportunity to tackle these challenges. Indeed, many healthcare organizations today are embracing digital transformation and using data to enhance operations. Yet this same data is critical to improving patient outcomes. Dashboards are useful means to track such change.

Data Governance 52

Data Governance Measurement Metrics Data Quality 52