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. If we talk about Big Data, data visualization is crucial to more successfully drive high-level decision making.

Visualization 145

Visualization Cost-Benefit Big Data Prescriptive Analytics 145

AWS Big Data

OCTOBER 11, 2023

The lift and shift migration approach is limited in its ability to transform businesses because it relies on outdated, legacy technologies and architectures that limit flexibility and slow down productivity. This may require frequent truncation in certain tables to retain only the latest stream of events.

Management 130

Management Metadata Analytics Dashboards 130

AWS Big Data

AUGUST 13, 2024

In this blog post, we explore how to use the SFTP Connector for AWS Glue from the AWS Marketplace to efficiently process data from Secure File Transfer Protocol (SFTP) servers into Amazon Simple Storage Service (Amazon S3) , further empowering your data analytics and insights. The following diagram illustrates this architecture.

Data Processing 114

Data Processing Visualization Data Lake Data Processing 114

AWS Big Data

MARCH 13, 2024

Data analytics – Business analysts gather operational insights from multiple data sources, including the location data collected from the vehicles. Using EventBridge integration, filtered positional updates are published to an EventBridge event bus. The ingestion approach is not in scope of this post.

Analytics 121

Analytics IoT Metadata Internet of Things 121

AWS Big Data

DECEMBER 4, 2024

The key to scaling the Institutional Division operating model are the following considerations: Data as a product approach – Use techniques like event storming and domain-driven design to capture business events and their meanings.

Metadata 105

Metadata Data Governance Data Quality Data-driven 105

AWS Big Data

JANUARY 6, 2025

Amazon AppFlow is a fully managed integration service that you can use to securely transfer data from software as a service (SaaS) applications, such as Google BigQuery, Salesforce, SAP, HubSpot, and ServiceNow, to Amazon Web Services (AWS) services such as Amazon Simple Storage Service (Amazon S3) and Amazon Redshift, in just a few clicks.

Analytics 98

Analytics Data Warehouse Big Data Metrics 98

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.

Management 99

Management Data Warehouse Digital Transformation Dashboards 99

AWS Big Data

APRIL 2, 2024

You can use Amazon Data Firehose to aggregate and deliver log events from your applications and services captured in Amazon CloudWatch Logs to your Amazon Simple Storage Service (Amazon S3) bucket and Splunk destinations, for use cases such as data analytics, security analysis, application troubleshooting etc.

Metadata 110

Metadata Marketing Analytics Data Transformation 110

CIO Business Intelligence

JULY 5, 2022

Business analytics can help you improve operational efficiency, better understand your customers, project future outcomes, glean insights to aid in decision-making, measure performance, drive growth, discover hidden trends, generate leads, and scale your business in the right direction, according to digital skills training company Simplilearn.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

AWS Big Data

APRIL 11, 2023

Data ingestion and storage Retail businesses have event-driven data that requires action from downstream processes. It’s critical for an inventory management application to handle the data ingestion and storage for changing demands. The volume and velocity of data can change in the retail industry each day.

Forecasting 98

Forecasting Management IoT Data-driven 98

Sisense

OCTOBER 15, 2020

We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. 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. billion market by 2025.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

CIO Business Intelligence

DECEMBER 22, 2022

Research firm Gartner further describes the methodology as one focused on “improving the communication, integration, and automation of data flows between data managers and data consumers across an organization.” The approach values continuous delivery of analytic insights with the primary goal of satisfying the customer.

Analytics 130

Analytics Machine Learning Data mining Data Quality 130

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. An EventBridge rule receives an event notification from the AWS Glue Data Quality evaluations including the results.

Data Quality 98

Data Quality Metrics Data-driven Visualization 98

AWS Big Data

AUGUST 9, 2023

The advent of rapid adoption of serverless data lake architectures—with ever-growing datasets that need to be ingested from a variety of sources, followed by complex data transformation and machine learning (ML) pipelines—can present a challenge. These event changes are also routed to the same SNS topic.

Data Lake 98

Data Lake Metrics Cost-Benefit Testing 98

CIO Business Intelligence

JUNE 29, 2022

And as businesses contend with increasingly large amounts of data, the cloud is fast becoming the logical place where analytics work gets done. For many enterprises, Microsoft Azure has become a central hub for analytics. Azure Data Factory. Azure Data Explorer. Azure Synapse Analytics. Azure Databricks.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

DataKitchen

DECEMBER 9, 2022

ChatGPT> DataOps, or data operations, is a set of practices and technologies that organizations use to improve the speed, quality, and reliability of their data analytics processes. Overall, DataOps is an essential component of modern data-driven organizations. Query> DataOps. Query> Write an essay on DataOps.

Machine Learning 130

Machine Learning Data-driven Optimization Data Analytics 130

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 118

Visualization Dashboards Data-driven Gap analysis 118

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. Data pipeline dbt, an open-source tool, can be installed in the AWS environment and set up to work with Amazon MWAA.

Data Warehouse 126

Data Warehouse Testing Data Quality Reporting 126

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. Cloudera Data Warehouse). Apache Hive.

Metrics 87

Metrics Slice and Dice Data Warehouse Dashboards 87

AWS Big Data

NOVEMBER 13, 2023

The upstream data pipeline is a robust system that integrates various data sources, including Amazon Kinesis and Amazon Managed Streaming for Apache Kafka (Amazon MSK) for handling clickstream events, Amazon Relational Database Service (Amazon RDS) for delta transactions, and Amazon DynamoDB for delta game-related information.

Data Warehouse 110

Data Warehouse Analytics Data Lake Data Science 110

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

AWS Big Data

AUGUST 1, 2023

You can do this by updating the CloudFormation stack with a flag that includes the CDC and data transformation steps. This will enable both the CDC steps and the data transformation steps for the Jira data. The DataBrew job performs data transformation and filtering tasks. Choose Update.

Data Lake 98

Data Lake Data Transformation Data-driven Cost-Benefit 98

AWS Big Data

DECEMBER 21, 2023

The data products from the Business Vault and Data Mart stages are now available for consumers. smava decided to use Tableau for business intelligence, data visualization, and further analytics. The data transformations are managed with dbt to simplify the workflow governance and team collaboration.

Data Lake 115

Data Lake Data Warehouse Data-driven B2B 115

AWS Big Data

SEPTEMBER 13, 2024

Another advantage was improved security, particularly the ability to contain the potential impact area in the event of credential leaks or account compromises. Joel has led data transformation projects on fraud analytics, claims automation, and Master Data Management.

Interactive 110

Interactive Strategy Cost-Benefit Data Governance 110

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. With over 20 years of experience in storage and data analytics, he also holds a PhD from Stanford University.

Data Processing 110

Data Processing Management Publishing Visualization 110

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

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

AWS Big Data

JULY 31, 2023

You can examine various events from the stack creation process on the Events tab. This concludes creating data sources on the AWS Glue job canvas. Next, we add transformations by combining data from these different tables. Under Transforms , choose SQL Query. Choose Submit.

Sales 52

Sales Data Warehouse Visualization Testing 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

OCTOBER 1, 2024

Trino allows users to run ad hoc queries across massive datasets, making real-time decision-making a reality without needing extensive data transformations. This is particularly valuable for teams that require instant answers from their data. Data Lake Analytics: Trino doesn’t just stop at databases.

Dashboards 52

Dashboards Data Lake Reporting Cost-Benefit 52

Jet Global

JULY 16, 2024

By providing a consistent and stable backend, Apache Iceberg ensures that data remains immutable and query performance is optimized, thus enabling businesses to trust and rely on their BI tools for critical insights. It provides a stable schema, supports complex data transformations, and ensures atomic operations.

Dashboards 52

Dashboards Data-driven Reporting Business Intelligence 52

Jet Global

MAY 1, 2023

Third-party data might include industry benchmarks, data feeds (such as weather and social media), and/or anonymized customer data. Four Approaches to Data Analytics The world of data analytics is constantly and quickly changing. Data Transformation and Enrichment Data can be enriched for analysis.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

APRIL 24, 2024

On top of the advanced embedded analytics capabilities it provides, Logi Symphony provides users advanced analytics with the help of their unique knowledge and datasets. Unlike competitors who lock you into their pre-built AI solutions, Logi AI empowers you with the freedom to choose. Privacy Policy.

Business Intelligence 52

Business Intelligence Dashboards Data-driven Reporting 52

AWS Big Data

NOVEMBER 6, 2024

This example uses Direct PUT as the source, but the same steps can be applied for other Firehose sources such as Kinesis Data Streams, and Amazon MSK. For the Firehose stream name , enter firehose-iceberg-events-1. Create a Firehose stream: Go to the Amazon Data Firehose console. Choose Create Firehose stream.

Metadata 115

Metadata Data Lake Management Internet of Things 115

AWS Big Data

FEBRUARY 18, 2025

To optimize their security operations, organizations are adopting modern approaches that combine real-time monitoring with scalable data analytics. They are using data lake architectures and Apache Iceberg to efficiently process large volumes of security data while minimizing operational overhead.

Snapshot 81

Snapshot Optimization Data Lake Metadata 81

AWS Big Data

FEBRUARY 25, 2025

If data mapping has been enabled within the data processing job, then the structured data is prepared based on the given schema. This output is passed to next phase where data transformations and business validations can be applied. After this step, data is loaded to specified target.

Data Processing 58

Data Processing Machine Learning Data-driven Cost-Benefit 58

AWS Big Data

NOVEMBER 14, 2024

Key services in the solution include Amazon API Gateway , Amazon Data Firehose , and Amazon Location Service. The challenge In the event of a disaster e.g. water flood, there is usually a lack of terrestrial data connectivity that prevents monitoring stations from taking actionable measures in real time.

Data Lake 105

Data Lake Metadata Testing Data-driven 105