FineReport

APRIL 21, 2024

These solutions typically include data visualization, customizable dashboards, and self-service analytics. Tableau Tableau transforms data usage with end-to-end analytics, including data management, visual analytics, and storytelling. Features include interactive visualizations and native data connectors.

Dashboards 52

Dashboards Visualization Interactive Business Intelligence 52

CIO Business Intelligence

JULY 5, 2022

While quantitative analysis, operational analysis, and data visualizations are key components of business analytics, the goal is to use the insights gained to shape business decisions. What is the difference between business analytics and data analytics? Business analytics is a subset of data analytics.

Business Analytics 125

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 125

AWS Big Data

OCTOBER 11, 2023

The availability of machine-readable files opens up new possibilities for data analytics, allowing organizations to analyze large amounts of pricing data. Using machine learning (ML) and data visualization tools, these datasets can be transformed into actionable insights that can inform decision-making.

Visualization 94

Visualization Dashboards Data-driven Gap analysis 94

Cloudera

OCTOBER 13, 2020

Data Warehouse – in addition to a number of performance optimizations, DW has added a number of new features for better scalability, monitoring and reliability to enable self-service access with security and performance . Enable Cloud Everywhere : Accelerate adoption of cloud-native data services for public clouds .

Data Warehouse 92

Data Warehouse Machine Learning Visualization Data Lake 92

AWS Big Data

DECEMBER 21, 2023

To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse. In this post, we show how smava optimized their data platform by using Amazon Redshift Serverless and Amazon Redshift data sharing to overcome right-sizing challenges for unpredictable workloads and further improve price-performance.

Data Lake 87

Data Lake Data Warehouse Data-driven B2B 87

AWS Big Data

OCTOBER 27, 2023

AWS Glue provides all the capabilities needed for data integration, so you can start analyzing your data and putting it to use in minutes instead of months. AWS Glue provides both visual and code-based interfaces to make data integration easier. Users can more easily find and access data using the AWS Glue Data Catalog.

Analytics 94

Analytics Visualization Data Integration Cost-Benefit 94

AWS Big Data

JANUARY 27, 2023

You can visualize the PCA insights in the business intelligence (BI) tool Amazon QuickSight for advanced analysis. In this post, we show you how to use PCA’s data to build automated QuickSight dashboards for advanced analytics to assist in quality assurance (QA) and quality management (QM) processes.

Analytics 60

Analytics Reporting Dashboards Visualization 60

datapine

SEPTEMBER 29, 2022

He/she assists the organization by providing clarity and insight into advanced data technology solutions. As quality issues are often highlighted with the use of dashboard software , the change manager plays an important role in the visualization of data quality. Here, it all comes down to the data transformation error rate.

Data Quality 241

Data Quality Metrics Data-driven Management 241

AWS Big Data

FEBRUARY 6, 2023

In this post, we dive deep into the tool, walking through all steps from log ingestion, transformation, visualization, and architecture design to calculate TCO. Additionally, a TCO calculator generates the TCO estimation of an optimized EMR cluster for facilitating the migration. Now let’s look at how the tool works.

Dashboards 74

Dashboards Optimization Data Lake Cost-Benefit 74

AWS Big Data

MAY 9, 2023

For workloads such as data transforms, joins, and queries, you can use G.1X With exponentially growing data sources and data lakes, customers want to run more data integration workloads, including their most demanding transforms, aggregations, joins, and queries. 1X (1 DPU) and G.2X You can enable G.4X

Data Lake 86

Data Lake Cost-Benefit Data Integration Data Transformation 86

AWS Big Data

AUGUST 1, 2023

AWS Glue is a serverless data discovery, load, and transformation service that will prepare data for consumption in BI and AI/ML activities. Solution overview This solution uses Amazon AppFlow to retrieve data from the Jira Cloud. Parquet is a columnar format to optimize subsequent querying. Choose Update.

Data Lake 84

Data Lake Data Transformation Cost-Benefit Data-driven 84

Octopai

JANUARY 19, 2021

With Octopai’s support and analysis of Azure Data Factory, enterprises can now view complete end-to-end data lineage from Azure Data Factory all the way through to reporting for the first time ever. About Octopai: Octopai was founded in 2015 by BI professionals who realized the need for dynamic solutions in a stagnant market.

Metadata 52

Metadata ROI Optimization Data Quality 52

Sisense

OCTOBER 15, 2020

Let’s look at a few ways that different industries take advantage of streaming data. How industries can benefit from streaming data. Automotive: Monitoring connected, autonomous cars in real time to optimize routes to avoid traffic and for diagnosis of mechanical issues. Optimizing object storage.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

AWS Big Data

JUNE 6, 2023

Furthermore, it allows for necessary actions to be taken, such as rectifying errors in the data source, refining data transformation processes, and updating data quality rules. The following sample email provides operational metrics for the AWS Glue Data Quality ruleset evaluation. Select your stack and delete it.

Data Quality 73

Data Quality Metrics Data-driven Visualization 73

Sisense

FEBRUARY 26, 2020

Achieving a successful data transformation requires the right choice of an analytics and BI platform to ensure you get the most value from your data. Embrace embedded analytics, make better data-driven decisions. With embedded analytics at their fingertips, everyone can make data-driven decisions.

Digital Transformation 90

Digital Transformation Analytics Cost-Benefit Data-driven 90

AWS Big Data

MAY 16, 2023

Data collection and processing are handled by a third-party smart sensor manufacturer application residing in Amazon Virtual Private Cloud (Amazon VPC) private subnets behind a Network Load Balancer. The AWS Glue Data Catalog contains the table definitions for the smart sensor data sources stored in the S3 buckets.

Dashboards 76

Dashboards Statistics Data Collection Business Intelligence 76

AWS Big Data

APRIL 5, 2023

In this post, we share how Showpad used QuickSight to streamline data and insights access across teams and customers. Showpad migrated over 70 dashboards with over 1,000 visuals. The company also used the opportunity to reimagine its data pipeline and architecture.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52

AWS Big Data

JULY 31, 2023

We create the insert_orders_fact_tbl AWS Glue job manually using AWS Glue Visual Studio. Select Visual with a blank canvas , then choose Create. Navigate to the Visual tab. Under Add nodes , enter Glue in the search bar and choose AWS Glue Data Catalog (Source) to add the Data Catalog as the source.

Sales 52

Sales Data Warehouse Visualization Testing 52

AWS Big Data

MARCH 13, 2024

This method uses GZIP compression to optimize storage consumption and query performance. You can also use the data transformation feature of Data Firehose to invoke a Lambda function to perform data transformation in batches.

Analytics 92

Analytics IoT Metadata Internet of Things 92

AWS Big Data

FEBRUARY 26, 2024

When you start the process of designing your data model for Amazon Keyspaces, it’s essential to possess a comprehensive understanding of your access patterns, similar to the approach used in other NoSQL databases. Additionally, you can configure OpenSearch Ingestion to apply data transformations before delivery.

Dashboards 61

Dashboards Testing Metrics Optimization 61

AWS Big Data

OCTOBER 12, 2023

With EMR Serverless, you don’t have to configure, optimize, secure, or operate clusters to run applications with these frameworks. You can run analytics workloads at any scale with automatic scaling that resizes resources in seconds to meet changing data volumes and processing requirements.

Big Data 105

Big Data Data-driven Management Visualization 105

Sisense

MARCH 14, 2021

Before we dive into the topics of big data as a service and analytics applied to same, let’s quickly clarify data analytics using an oft-used application of analytics: Visualization! As we move from right to left in the diagram, from big data to BI, we notice that unstructured data transforms into structured data.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

Alation

FEBRUARY 2, 2023

Many are subject matter experts for a particular kind of data, which enables them to spot anomalies in that data quickly, understand the root cause, and resolve the issue. Image Sourced from theproductmanager.com Further, they can quickly create helpful visualizations from the data they analyze.

Management 52

Management Data-driven Visualization Strategy 52

AWS Big Data

OCTOBER 31, 2023

Customers rely on data from different sources such as mobile applications, clickstream events from websites, historical data, and more to deduce meaningful patterns to optimize their products, services, and processes. Another method to visualize the results is directly from the Snowflake console using the Snowflake worksheet.

Data Processing 88

Data Processing Management Publishing Testing 88

Cloudera

MARCH 14, 2023

Once a draft has been created or opened, developers use the visual Designer to build their data flow logic and validate it using interactive test sessions. DataFlow Deployments are typically long running, handle streaming or batch data, and automatically scale up and down between a defined minimum and maximum number of nodes.

Testing 81

Testing Publishing Metadata Interactive 81

DataKitchen

JULY 27, 2023

Let’s go through the ten Azure data pipeline tools Azure Data Factory : This cloud-based data integration service allows you to create data-driven workflows for orchestrating and automating data movement and transformation. You can use it for big data analytics and machine learning workloads.

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

AWS Big Data

MARCH 3, 2023

Data ingestion – Steps 1 and 2 use AWS DMS, which connects to the source database and moves full and incremental data (CDC) to Amazon S3 in Parquet format. Data transformation – Steps 3 and 4 represent an EMR Serverless Spark application (Amazon EMR 6.9 Let’s refer to this S3 bucket as the raw layer.

Data Lake 81

Data Lake Dashboards Metrics Metadata 81

AWS Big Data

MARCH 3, 2023

While aggregating, summarizing, and aligning to a common information model, all transformations must not affect the integrity of data from its source. The Amazon S3 sink connector further streams data into Amazon S3 in real time by partitioning data into fixed-sized files.

Software 52

Software Data Lake Testing Cost-Benefit 52

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. Typically users need to ingest data, transform it into optimal format with quality checks, and optimize querying of the data by visual analytics tool.

Management 110

Management Cost-Benefit Data Transformation Optimization 110

IBM Big Data Hub

JULY 17, 2023

By supporting open-source frameworks and tools for code-based, automated and visual data science capabilities — all in a secure, trusted studio environment — we’re already seeing excitement from companies ready to use both foundation models and machine learning to accomplish key tasks. What is watsonx.data?

Machine Learning 65

Machine Learning Data Warehouse Modeling Cost-Benefit 65

CIO Business Intelligence

JUNE 29, 2022

If you can’t make sense of your business data, you’re effectively flying blind. Insights hidden in your data are essential for optimizing business operations, finetuning your customer experience, and developing new products — or new lines of business, like predictive maintenance. Azure Data Factory. Everything is visual.

Data Lake 107

Data Lake Analytics Data Warehouse Machine Learning 107

Alation

JUNE 28, 2022

A metadata management framework does the same for your data analysts. With a metadata management framework, your data analysts: Optimize search and findability: Create a single portal using role-based access for rapid data access based on job function and need. Key Considerations for a Metadata Management Framework.

Metadata 52

Metadata Management Data Governance Machine Learning 52

Cloudera

OCTOBER 14, 2020

Also, such a concept helps admin to visualize the jobs which are scheduled for debugging purposes. YuniKorn is designed for Big Data app workloads, and it natively supports to run Spark/Flink/Tensorflow, etc efficiently in K8s. YuniKorn is optimized for performance, it is suitable for high throughput and large scale environments.

Machine Learning 113

Machine Learning Management Big Data Optimization 113

Sisense

MAY 11, 2021

With our strategy in mind, we factored in our consumers and consuming services, which primarily are Sisense Fusion Analytics and Cloud Data Teams. Interestingly, this ad hoc analysis benefits from a single source of truth that is easy to query to allow for quickly querying of raw data alongside the cleanest data (i.e.,

Modeling 84

Modeling Big Data IoT Data Warehouse 84

Smart Data Collective

OCTOBER 13, 2021

There are countless examples of big data transforming many different industries. It can be used for something as visual as reducing traffic jams, to personalizing products and services, to improving the experience in multiplayer video games. We would like to talk about data visualization and its role in the big data movement.

Visualization 133

Visualization Cost-Benefit Big Data Prescriptive Analytics 133

Occam's Razor

OCTOBER 19, 2010

A huge vast majority of clicks coming from search engines continue to be organic clicks (which is why I love and adore search engine optimization). Google Website Optimizer. Here's a free guide – 26 pages – to use the website optimizer optimally: PDF Download: The Techie Guide to Google Website Optimizer.

Analytics 135

Analytics Testing Measurement Optimization 135

CIO Business Intelligence

JANUARY 24, 2024

Agent Swarms offer a strategic solution: they can autonomously oversee repetitive, rules-based, high-volume tasks, optimizing back-office functions and ensuring regulatory compliance with precision. Identify patterns in customer behavior, predict market trends, optimize inventory management, or flag inefficiencies in operations.

IoT 96

IoT Machine Learning Optimization Internet of Things 96