AWS Big Data

FEBRUARY 29, 2024

First, many LLM use cases rely on enterprise knowledge that needs to be drawn from unstructured data such as documents, transcripts, and images, in addition to structured data from data warehouses. Enforce data privacy policies such as personally identifiable information (PII) redactions.

Data Governance 95

Data Governance Unstructured Data Metadata Data Lake 95

Jedox

OCTOBER 22, 2020

The term “data analytics” refers to the process of examining datasets to draw conclusions about the information they contain. Data analysis techniques enhance the ability to take raw data and uncover patterns to extract valuable insights from it. Data analytics is not new.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69

David Menninger's Analyst Perspectives

NOVEMBER 30, 2021

TIBCO is a large, independent cloud-computing and data analytics software company that offers integration, analytics, business intelligence and events processing software. It enables organizations to analyze streaming data in real time and provides the capability to automate analytics processes.

Analytics 175

Analytics Data Warehouse Business Intelligence Software 175

Sisense

JULY 8, 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. In recent years we’ve seen data become vastly more available to businesses. This has allowed companies to become more and more data driven in all areas of their business.

Data Warehouse 90

Data Warehouse Data Lake Data-driven Cost-Benefit 90

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

CIO Business Intelligence

SEPTEMBER 12, 2022

The chief information and digital officer for the transportation agency moved the stack in his data centers to a best-of-breed multicloud platform approach and has been on a mission to squeeze as much data out of that platform as possible to create the best possible business outcomes. NJ Transit.

Data Warehouse 116

Data Warehouse Predictive Analytics Data Lake IoT 116

AWS Big Data

APRIL 3, 2023

Tens of thousands of customers run business-critical workloads on Amazon Redshift , AWS’s fast, petabyte-scale cloud data warehouse delivering the best price-performance. With Amazon Redshift, you can query data across your data warehouse, operational data stores, and data lake using standard SQL.

Data Warehouse 97

Data Warehouse Testing Data Lake Data-driven 97

AWS Big Data

JANUARY 24, 2024

AWS-powered data lakes, supported by the unmatched availability of Amazon Simple Storage Service (Amazon S3), can handle the scale, agility, and flexibility required to combine different data and analytics approaches. For more information, refer to Amazon S3: Allows read and write access to objects in an S3 Bucket.

Snapshot 100

Snapshot Data Lake Metadata Optimization 100

AWS Big Data

NOVEMBER 9, 2023

It allows users to write data transformation code, run it, and test the output, all within the framework it provides. Use case The Enterprise Data Analytics group of a large jewelry retailer embarked on their cloud journey with AWS in 2021. Third-party APIs – These provide analytics and survey data related to ecommerce websites.

Data Warehouse 104

Data Warehouse Testing Data Quality Reporting 104

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. OpenSearch Service is used for multiple purposes, such as observability, search analytics, consolidation, cost savings, compliance, and integration.

Analytics 95

Analytics IT Data Lake Visualization 95

AWS Big Data

APRIL 4, 2024

Automated data validation frameworks offer a streamlined solution by efficiently comparing large datasets, identifying discrepancies, and ensuring data accuracy at scale. Conclusion This post showed how you can use Python Griffin to accelerate the post-migration data validation process.

Data Quality 63

Data Quality Data Lake Data Warehouse Data-driven 63

AWS Big Data

MARCH 27, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. You can use this during the data ingestion phase of the POC. Additionally, document any assumptions you are making.

Testing 98

Testing Data Warehouse Metrics Cost-Benefit 98

DataKitchen

JANUARY 3, 2022

A DataOps process hub offers a way for business analytics teams to cope with fast-paced requirements without expanding staff or sacrificing quality. Analytics Hub and Spoke. The data analytics function in large enterprises is generally distributed across departments and roles. DataOps Process Hub.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

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

Andrew White

DECEMBER 9, 2019

Specifically, we were talking about analytics stewardship. 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. Policy execution.

Analytics 66

Analytics Data Lake Data Governance Metadata 66

BizAcuity

JULY 13, 2021

In many cases, source data is captured in various databases and the need for data consolidation arises and typically it takes around 6-9 months to complete, and with a high budget in terms of provisioning for servers, either in cloud or on-premise, licenses for data warehouse platform, reporting system, ETL tools, etc.

Optimization 52

Optimization Marketing Analytics Data Warehouse 52

CIO Business Intelligence

DECEMBER 1, 2022

Now halfway into its five-year digital transformation, PepsiCo has checked off many important boxes — including employee buy-in, Kanioura says, “because one way or another every associate in every plant, data center, data warehouse, and store are using a derivative of this transformation.” But there is more room to go.

Digital Transformation 124

Digital Transformation IoT Data-driven KPI 124

AWS Big Data

DECEMBER 13, 2023

A CDC-based approach captures the data changes and makes them available in data warehouses for further analytics in real-time. usually a data warehouse) needs to reflect those changes in near real-time. This post showcases how to use streaming ingestion to bring data to Amazon Redshift.

Data Warehouse 97

Data Warehouse Snapshot Data Processing Management 97

AWS Big Data

APRIL 20, 2023

Apache Spark is a popular framework that you can use to build applications for use cases such as ETL (extract, transform, and load), interactive analytics, and machine learning (ML). Amazon Redshift integration for Apache Spark helps developers seamlessly build and run Apache Spark applications on Amazon Redshift data.

Data Lake 74

Data Lake Data Warehouse Sales Data-driven 74

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

IBM Big Data Hub

JUNE 8, 2022

Implementing the right data strategy spurs innovation and outstanding business outcomes by recognizing data as a critical asset that provides insights for better and more informed decision-making. Integrating data across this hybrid ecosystem can be time consuming and expensive. The volume of data assets.

Data-driven 58

Data-driven Enterprise Data Governance Data Lake 58

Sisense

JANUARY 13, 2020

From a practical perspective, the computerization and automation of manufacturing hugely increase the data that companies acquire. And cloud data warehouses or data lakes give companies the capability to store these vast quantities of data. Data improves and streamlines production quality control.

Manufacturing 52

Manufacturing Data Lake Big Data Data Warehouse 52

Sisense

APRIL 26, 2020

A data’s “structure” refers to a particular way of organizing and storing it in a database or warehouse so that it can be accessed and analyzed. Different types of information are more suited to being stored in a structured or unstructured format. Structured vs unstructured data.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

Cloudera

FEBRUARY 16, 2021

Cloudera Data Engineering to ingest bulk data and data from mainframes. Cloudera Data Warehouse to perform ETL operations. The following image shows you how COD integrates within your enterprise data lifecycle. . Cloudera Shared Data Experience (SDX) . Cloudera Streaming Analytics.

Machine Learning 81

Machine Learning Data Lake Enterprise Data Warehouse 81

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 56

Analytics Data Lake Testing Optimization 56

AWS Big Data

MARCH 27, 2024

They can then use the result of their analysis to understand a patient’s health status, treatment history, and past or upcoming doctor consultations to make more informed decisions, streamline the claim management process, and improve operational outcomes. To get started with this feature, see Querying the AWS Glue Data Catalog.

Data Analytics 90

Data Analytics Analytics Data Warehouse Data Lake 90

CIO Business Intelligence

SEPTEMBER 6, 2022

He found a rich collection of data assets, including information on over 2.2 Behind the flagship brand, though, he says data remained scattered in siloes across many legacy business units and applications, with limited automation, many glossaries, and complex data lineage, and stewardship making it hard to govern and audit.

IT 79

IT Forecasting Data Lake Enterprise 79

Cloudera

MAY 15, 2019

A notable expert and clinical information systems specialist, Charles, offers his 25-plus years of strategic leadership. He is a successful architect of healthcare data warehouses, clinical and business intelligence tools, big data ecosystems, and a health information exchange.

Enterprise 47

Enterprise Data Lake Data mining IoT 47

AWS Big Data

MAY 18, 2023

You can discover and connect to over 70 diverse data sources, manage your data in a centralized data catalog, and create, run, and monitor data integration pipelines to load data into your data lakes and your data warehouses. For more information, refer to Spark Release 3.3.0.

Testing 75

Testing Data Lake Cost-Benefit Data Integration 75

AWS Big Data

JANUARY 8, 2024

This is the first post to a blog series that offers common architectural patterns in building real-time data streaming infrastructures using Kinesis Data Streams for a wide range of use cases. In this post, we will review the common architectural patterns of two use cases: Time Series Data Analysis and Event Driven Microservices.

Analytics 111

Analytics IoT Data-driven Snapshot 111

IBM Big Data Hub

DECEMBER 16, 2022

So, instead of wandering the aisles in hopes you’ll stumble across the book, you can walk straight to it and get the information you want much faster. An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

AWS Big Data

APRIL 19, 2023

Many customers run big data workloads such as extract, transform, and load (ETL) on Apache Hive to create a data warehouse on Hadoop. json ) to DynamoDB (for more information, refer to Write data to a table using the console or AWS CLI ): { "name": "step1.q", He is passionate about big data and data analytics.

Metadata 77

Metadata Testing Data Lake Consulting 77

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 69

Data Quality Metrics Visualization Dashboards 69

Andrew White

OCTOBER 22, 2021

Monetization/Link data to outcome (value pyramid) business value of data/business impact 20. Business Information Model/Arch compared to classic enterprise data model and how to relate it to catalogs and marketplaces and enterprise data models 13. Data Hub Strategy 10. Data Integration tactics 4.

IT 52

IT Data Lake Strategy Data Science 52

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 73

Data Analytics Analytics IoT Data Lake 73

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale.

Data Lake 113

Data Lake Metadata Optimization Statistics 113

CIO Business Intelligence

NOVEMBER 25, 2022

Carhartt’s signature workwear is near ubiquitous, and its continuing presence on factory floors and at skate parks alike is fueled in part thanks to an ongoing digital transformation that is advancing the 133-year-old Midwest company’s operations to make the most of advanced digital technologies, including the cloud, data analytics, and AI.

Data Lake 128

Data Lake Data Warehouse Unstructured Data Data Architecture 128