AWS Big Data

APRIL 24, 2023

Building a data lake on Amazon Simple Storage Service (Amazon S3) provides numerous benefits for an organization. However, many use cases, like performing change data capture (CDC) from an upstream relational database to an Amazon S3-based data lake, require handling data at a record level.

Data Lake 80

Data Lake Data Governance Cost-Benefit Machine Learning 80

AWS Big Data

MARCH 7, 2024

At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. With this massive data growth, data proliferation across your data stores, data warehouse, and data lakes can become equally challenging.

Data Lake 113

Data Lake Analytics Dashboards Metrics 113

AWS Big Data

JUNE 5, 2024

The integration is new way for customers to query operational logs in Amazon S3 and Amazon S3-based data lakes without needing to switch between tools to analyze operational data. Amazon S3 is an object storage service offering industry-leading scalability, data availability, security, and performance.

Data Lake 90

Data Lake Cost-Benefit Dashboards Visualization 90

AWS Big Data

JUNE 8, 2023

In today’s fast-paced digital world, businesses rely heavily on their data to make informed decisions. This data is often stored and analyzed using various tools, such as Amazon OpenSearch Service , a powerful search and analytics service offered by AWS. A PagerDuty account with access to create a service and integration.

Data Lake 79

Data Lake Dashboards Metrics Testing 79

DataKitchen

JUNE 12, 2023

We had been talking about “Agile Analytic Operations,” “DevOps for Data Teams,” and “Lean Manufacturing For Data,” but the concept was hard to get across and communicate. I spent much time de-categorizing DataOps: we are not discussing ETL, Data Lake, or Data Science.

Testing 130

Testing Data Lake Dashboards Data Science 130

IBM Big Data Hub

DECEMBER 18, 2023

It is a data problem. Yet, few provide the contextual information network that teams need to uncover the source of those errors, which can come from multiple directions and involve multiple DNS data points. Even then, it is not always clear that you will have the right information when you need it.

Dashboards 74

Dashboards Data Lake Metrics Sales 74

AWS Big Data

NOVEMBER 20, 2023

These pipelines pull data from various sources, transform it, and load it into destination systems for analytics and reporting. When running properly, it provides timely and trustworthy information. The new metrics provide aggregate and fine-grained insights into the health and operations of your job runs and the data being processed.

Metrics 95

Metrics Data Lake Cost-Benefit Dashboards 95

CIO Business Intelligence

MAY 21, 2024

Real-Time Intelligence, on the other hand, takes that further by supporting data in AWS, Google Cloud Platform, Kafka installations, and on-prem installations. “We We introduced the Real-Time Hub,” says Arun Ulagaratchagan, CVP, Azure Data at Microsoft. You can monitor and act on the data and you can set thresholds.”

Broadcasting 102

Broadcasting Recreation/Entertainment Manufacturing Data Lake 102

DataKitchen

NOVEMBER 18, 2022

As he thinks through the various journeys that data take in his company, Jason sees that his dashboard idea would require extracting or testing for events along the way. So, the only way for a data journey to truly observe what’s happening is to get his tools and pipelines to auto-report events. Part 1) (Part 2).

Testing 130

Testing Statistics Measurement Metrics 130

AWS Big Data

DECEMBER 21, 2023

As the volume and complexity of analytics workloads continue to grow, customers are looking for more efficient and cost-effective ways to ingest and analyse data. Choose the link under OpenSearch Dashboards URL. For more information, see Setting up networking for development for AWS Glue. Choose Create connection.

Analytics 96

Analytics IT Data Lake Visualization 96

Smart Data Collective

AUGUST 17, 2022

You can safely use an Apache Kafka cluster for seamless data movement from the on-premise hardware solution to the data lake using various cloud services like Amazon’s S3 and others. It will enable you to quickly transform and load the data results into Amazon S3 data lakes or JDBC data stores.

Data Lake 109

Data Lake Insurance Data-driven Data Processing 109

CIO Business Intelligence

MAY 23, 2022

McDermott’s sustainability innovation would not have been possible without key advancements in the cloud, analytics, and, in particular, data lakes, Dave notes. But for Dave, the key ingredient for innovation at McDermott is data. Then maybe we can have a dashboard that looks at anomalies on spot-checking. Vagesh Dave.

Data Lake 104

Data Lake Data mining IoT Digital Transformation 104

AWS Big Data

MARCH 25, 2024

Large language models (LLMs) are a type of FM and are pre-trained on vast amounts of text data and typically have application uses such as text generation, intelligent chatbots, or summarization. In RAG, you provide the relevant information such as most relevant policy and customer records along with the user question to the prompt.

Data Lake 90

Data Lake Unstructured Data Management Modeling 90

DataKitchen

JANUARY 3, 2022

Data scientists derive insights from data while business analysts work closely with and tend to the data needs of business units. Business analysts sometimes perform data science, but usually, they integrate and visualize data and create reports and dashboards from data supplied by other groups.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

AWS Big Data

FEBRUARY 6, 2023

Finally, we show you the technical information to use the tool. Use case overview Migrating Hadoop workloads to Amazon EMR accelerates big data analytics modernization, increases productivity, and reduces operational cost. Refactoring coupled compute and storage to a decoupling architecture is a modern data solution.

Cost-Benefit 52

Cost-Benefit Data Lake Dashboards Big Data 52

AWS Big Data

MARCH 2, 2023

Many organizations are building data lakes to store and analyze large volumes of structured, semi-structured, and unstructured data. In addition, many teams are moving towards a data mesh architecture, which requires them to expose their data sets as easily consumable data products.

Data Lake 76

Data Lake Testing Interactive Unstructured Data 76

AWS Big Data

FEBRUARY 6, 2023

Amazon QuickSight dashboards showcase the results from the analyzer. Then it retrieves the job history information (YARN logs from application managers) by calling the YARN ResourceManager application API. For more information on how to use the YARN log organizer, refer to the yarn-log-organizer GitHub repo.

Dashboards 76

Dashboards Optimization Data Lake Cost-Benefit 76

Cloudera

DECEMBER 11, 2020

Without meeting GxP compliance, the Merck KGaA team could not run the enterprise data lake needed to store, curate, or process the data required to inform business decisions. It established a data governance framework within its enterprise data lake. Driving innovation with secure and governed data .

Data Lake 98

Data Lake Cost-Benefit Unstructured Data Data Governance 98

CIO Business Intelligence

APRIL 24, 2024

In fact, AMA collects a huge amount of structured and unstructured data from bins, collection vehicles, facilities, and user reports, and until now, this data has remained disconnected, managed by disparate systems and interfaces, through Excel spreadsheets.

Digital Transformation 96

Digital Transformation Business Intelligence Unstructured Data Data Lake 96

CIO Business Intelligence

JUNE 20, 2022

Designed with controllers, sensors, gateways, real-time dashboards, and custom maintenance roles dubbed ‘Personas,’ Otis One serves roughly one third of Otis’ 2.1 Otis One’s cloud-native platform is built on Microsoft Azure and taps into a Snowflake data lake. It’s information that’s pertinent to their role.

Internet of Things 105

Internet of Things IoT Manufacturing Data Lake 105

AWS Big Data

MARCH 7, 2023

A data hub contains data at multiple levels of granularity and is often not integrated. It differs from a data lake by offering data that is pre-validated and standardized, allowing for simpler consumption by users. Data hubs and data lakes can coexist in an organization, complementing each other.

Analytics 71

Analytics Data Warehouse Data Lake Metadata 71

AWS Big Data

JUNE 6, 2023

It’s important for business users to be able to see quality scores and metrics to make confident business decisions and debug data quality issues. AWS Glue Data Quality generates a substantial amount of operational runtime information during the evaluation of rulesets. Set up the Athena query result location.

Data Quality 71

Data Quality Metrics Visualization Dashboards 71

Cloudera

DECEMBER 21, 2020

Company data exists in the data lake. Data Catalog profilers have been run on existing databases in the Data Lake. A Cloudera Data Warehouse virtual warehouse with Cloudera Data Visualisation enabled exists. Jon finds the existing Dashboard and selects it, to view the dashboard contents. .

Dashboards 97

Dashboards Visualization Data Warehouse Data Lake 97

CIO Business Intelligence

MAY 12, 2022

The results appear in a collection of dashboards or automated graphical visualizations. Highlights: Focus on AI is best for problems that require complex solutions that adapt to incoming data. More focused options are available for particular data sets. Extras are priced by the sales team.

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137

AWS Big Data

NOVEMBER 9, 2023

Data sources As part of this data platform, we are ingesting data from diverse and varied data sources, including: Transactional databases – These are active databases that store real-time data from various applications. The data typically encompasses all transactions and operations that the business engages in.

Data Warehouse 104

Data Warehouse Testing Data Quality Reporting 104

Jet Global

OCTOBER 30, 2020

As you do, it’s important to understand some important technical changes that could impact your ability to get information out of the system. Financial and operational reports retrieve master data and transactional information from your ERP databases using something called “SQL.” Introducing Data Lakes.

Data Lake 52

Data Lake Unstructured Data Reporting Finance 52

BizAcuity

MAY 16, 2022

In brief, business intelligence is about how well you leverage, manage and analyze business data. When data is stored in silos and the back-end systems are not able to process the massive amounts of data seamlessly, critical information may be lost. When information is at your fingertips, the possibilities are endless.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

Cloudera

APRIL 29, 2021

Some of these new features are: Prometheus endpoint : NiFi now exposes an endpoint allowing Prometheus to collect monitoring data about NiFi instances and running flows and giving you the ability to create very custom dashboards. and define a sink for where the data should go (Kafka, Site to Site, Prometheus, a database, etc.).

Metrics 77

Metrics Data Lake Dashboards Reporting 77

Peter James Thomas

AUGUST 18, 2018

That was the Science, here comes the Technology… A Brief Hydrology of Data Lakes. Even back then, these were used for activities such as Analytics , Dashboards , Statistical Modelling , Data Mining and Advanced Visualisation. This is the essence of Convergent Evolution.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

Andrew White

DECEMBER 9, 2019

This is a new area of innovation that needs to be understood as an intersection between: The work of data and analytics governance. The information artifacts in scope. The use case could be: Business process integrity and operational data. The use case could be: Business process integrity and operational data.

Analytics 66

Analytics Data Lake Data Governance Metadata 66

Peter James Thomas

APRIL 3, 2020

I have been very much focussing on the start of a data journey in a series of recent articles about Data Strategy [3]. Here I shift attention to a later stage of the journey [4] and attempt to answer the question: “How best to deliver information to an organisation in a manner that will encourage people to use it?”

Dashboards 61

Dashboards Reporting Sales Data Lake 61

AWS Big Data

JANUARY 8, 2024

In this post, we will review the common architectural patterns of two use cases: Time Series Data Analysis and Event Driven Microservices. All these architecture patterns are integrated with Amazon Kinesis Data Streams. The raw data can be streamed to Amazon S3 for archiving.

Analytics 113

Analytics IoT Data-driven Snapshot 113

AWS Big Data

JUNE 28, 2023

In case the data sources change, data engineers have to manually make changes in their code and deploy it again. Furthermore, the time required to build or change pipelines makes the data unfit for near-real-time use cases such as detecting fraudulent transactions, placing online ads, and tracking passenger train schedules.

Analytics 69

Analytics Data Warehouse Data Lake Data-driven 69

CIO Business Intelligence

MARCH 14, 2024

For Daniele Deligia, IT director of Italo-Nuovo Trasporto Viaggiatori, Italy’s first private operator of high-speed rail networks, the exchange of information between the CIO and other executives is good for business. “You need to speak both languages, technology and business, bridging the gap between these two functions.”

Digital Transformation 86

Digital Transformation Sales Forecasting Data Lake 86

IBM Big Data Hub

OCTOBER 16, 2023

Most of today’s largest foundation models, including the large language model (LLM) powering ChatGPT, have been trained on information culled from the internet. But how trustworthy is that training data? Collaborative tools and dynamic user-based dashboards, charts and dimensional reporting increase visibility into AI processes.

Risk 70

Risk Modeling Management Metadata 70

Cloudera

JANUARY 18, 2022

As a result of this innovative data solution, the company helped customers while keeping its default rate low. . The bank also used its data lake to feed a real-time dashboard that tracked employee health which led to better support for employees.

Data Lake 96

Data Lake Digital Transformation Data-driven Dashboards 96

AWS Big Data

JUNE 6, 2023

For more information, please visit sumup.co.uk. As most organizations, that have turned to Google Analytics (GA) as a digital analytics solution, mature they discover a more pressing need to integrate this data silo with the rest of their organization’s data to enable better analytics and resulting product development and fraud detection.

Analytics 55

Analytics Data Lake Testing Optimization 55