Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes. Iterations of the lakehouse.

Data Lake 94

Data Lake Data Warehouse Machine Learning Cost-Benefit 94

AWS Big Data

MARCH 1, 2023

Finding similar columns in a data lake has important applications in data cleaning and annotation, schema matching, data discovery, and analytics across multiple data sources. We include a code tutorial for you to deploy the resources to run the solution on sample data or your own data.

Data Lake 85

Data Lake Deep Learning Modeling Interactive 85

CIO Business Intelligence

JUNE 23, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes. Iterations of the lakehouse.

Data Lake 82

Data Lake Data Warehouse Machine Learning Cost-Benefit 82

AWS Big Data

APRIL 26, 2023

To enable this use case, we used the BMW Group’s cloud-native data platform called the Cloud Data Hub. In 2019, the BMW Group decided to re-architect and move its on-premises data lake to the AWS Cloud to enable data-driven innovation while scaling with the dynamic needs of the organization.

Forecasting 122

Forecasting Manufacturing Data Lake Big Data 122

AWS Big Data

FEBRUARY 29, 2024

Unstructured data is typically stored across siloed systems in varying formats, and generally not managed or governed with the same level of rigor as structured data. On the backend, the batch data engineering processes refreshing the enterprise data lake need to expand to ingest, transform, and manage unstructured data.

Data Governance 95

Data Governance Unstructured Data Metadata Data Lake 95

AWS Big Data

MARCH 26, 2024

Customer 360 (C360) provides a complete and unified view of a customer’s interactions and behavior across all touchpoints and channels. This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. Then, you transform this data into a concise format.

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

Jen Stirrup

MAY 5, 2020

It is more than just some giant USB stick in the sky that’s going to store all of the data. It has a lot of services that you can use, such as Big Data analytics. In this topic, we’re going to focus specifically on Big Data technologies, such as your HDInsight, Apache Spark and Databricks.

Machine Learning 89

Machine Learning Data Science Data Lake Big Data 89

AWS Big Data

DECEMBER 21, 2023

To bring their customers the best deals and user experience, smava follows the modern data architecture principles with a data lake as a scalable, durable data store and purpose-built data stores for analytical processing and data consumption.

Data Lake 89

Data Lake Data Warehouse Data-driven B2B 89

AWS Big Data

FEBRUARY 27, 2024

The following are the key components of the Bluestone Data Platform: Data mesh architecture – Bluestone adopted a data mesh architecture, a paradigm that distributes data ownership across different business units. This enables data-driven decision-making across the organization.

Data-driven 95

Data-driven Data Lake Data Quality Data Governance 95

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. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

AWS Big Data

DECEMBER 5, 2023

To fill in the gaps in existing data, HR&A creates digital equity surveys to build a more complete picture before developing digital equity plans. HR&A has used Amazon Redshift Serverless and CARTO to process survey findings more efficiently and create custom interactive dashboards to facilitate understanding of the results.

Measurement 82

Measurement Dashboards Data Warehouse Analytics 82

BizAcuity

AUGUST 1, 2022

TIBCO Jaspersoft offers a complete BI suite that includes reporting, online analytical processing (OLAP), visual analytics , and data integration. The web-scale platform enables users to share interactive dashboards and data from a single page with individuals across the enterprise. Data Security.

Reporting 52

Reporting OLAP Online Analytical Processing Dashboards 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

APRIL 4, 2024

Griffin is an open source data quality solution for big data, which supports both batch and streaming mode. In today’s data-driven landscape, where organizations deal with petabytes of data, the need for automated data validation frameworks has become increasingly critical.

Data Quality 62

Data Quality Data Lake Data Warehouse Data-driven 62

AWS Big Data

OCTOBER 23, 2023

For interactive applications, Athena Spark allows you to spend less time waiting and be more productive, with application startup time in under a second. Running SQL on data lakes is fast, and Athena provides an optimized, Trino- and Presto-compatible API that includes a powerful optimizer. Analytics Architect on Amazon Athena.

Data Lake 102

Data Lake Visualization Optimization Interactive 102

AWS Big Data

MAY 28, 2024

For getting data from Amazon Redshift, we use the Anthropic Claude 2.0 To get data from Amazon OpenSearch Service, we chunk, and convert the source data chunks to vectors using Amazon Titan Text Embeddings model. For client interaction we use Agent Tools based on ReAct.

Unstructured Data 88

Unstructured Data Data Warehouse Structured Data Testing 88

AWS Big Data

NOVEMBER 8, 2023

Putting your data to work with generative AI – Innovation Talk Thursday, November 30 | 12:30 – 1:30 PM PST | The Venetian Join Mai-Lan Tomsen Bukovec, Vice President, Technology at AWS to learn how you can turn your data lake into a business advantage with generative AI. Reserve your seat now! Reserve your seat now!

Data-driven 89

Data-driven Data Lake Machine Learning Cost-Benefit 89

AWS Big Data

NOVEMBER 7, 2023

Now, as part of Infosys Cobalt and Infosys Topaz blueprints, enterprises can have near real-time analytics on transactional data, which can help them make informed decisions related to store management. Prior to his current role, he was VP of Analytics at AWS, where he worked across the entire AWS database portfolio.

Dashboards 73

Dashboards Data-driven Data Integration Data Lake 73

AWS Big Data

JUNE 8, 2023

This data is often stored and analyzed using various tools, such as Amazon OpenSearch Service , a powerful search and analytics service offered by AWS. OpenSearch Service provides real-time insights into your data to support use cases like interactive log analytics, real-time application monitoring, website search, and more.

Data Lake 79

Data Lake Dashboards Metrics Testing 79

AWS Big Data

MARCH 25, 2024

AWS Glue can interact with streaming data services such as Kinesis Data Streams and Amazon MSK for processing and transforming CDC data. To understand the best ways to make API calls via Apache Flink, refer to Common streaming data enrichment patterns in Amazon Kinesis Data Analytics for Apache Flink.

Data Lake 90

Data Lake Unstructured Data Management Modeling 90

AWS Big Data

JULY 14, 2023

For example, data producers need to onboard their dataset to the global catalog, and complete their permissions management before they can share that with consumers. We made interaction, including producer-consumer onboarding, data access request, approvals, and governance, quicker through the self-service tools in our application.

Finance 83

Finance Metadata Big Data Recreation/Entertainment 83

Sisense

DECEMBER 11, 2019

We hosted over 150 people from more than 100 companies, who gathered to learn why data can supercharge their companies and how harnessing the huge power of data can take business from startup to unicorn. Scott whisked us through the history of business intelligence from its first definition in 1958 to the current rise of Big Data.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Cloudera

NOVEMBER 18, 2020

It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery. With this functionality, business units can now leverage big data analytics to develop better and faster insights to help achieve better revenues, higher productivity, and decrease risk. .

Internet Publishing and Broadcasting 123

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 123

AWS Big Data

JULY 28, 2023

Amazon Athena is a serverless, interactive analytics service built on the Trino, PrestoDB, and Apache Spark open-source frameworks. Athena also updated its data connectors with optimizations that improve performance and reduce cost when querying federated data sources. Big Data Architect on Amazon Athena.

Big Data 80

Big Data Data Architecture Data Lake Interactive 80

AWS Big Data

AUGUST 2, 2023

In this blog, we will walk through how we can apply existing enterprise data to better understand and estimate Scope 1 carbon footprint using Amazon Simple Storage Service (S3) and Amazon Athena , a serverless interactive analytics service that makes it easy to analyze data using standard SQL.

Data Lake 72

Data Lake Measurement Visualization Data Architecture 72

AWS Big Data

NOVEMBER 15, 2023

After the project is opened, an interactive session is created where you can author transformations on a sample of the data. About the Author Ismail Makhlouf is a Senior Specialist Solutions Architect for Data Analytics at AWS. Select the FoodMartSales-AllUp dataset. Choose Create project.

Metadata 83

Metadata Sales Data Lake Big Data 83

AWS Big Data

NOVEMBER 17, 2023

Amazon Athena is a serverless, interactive analytics service built on open source frameworks, supporting open table file formats. Athena provides a simplified, flexible way to analyze petabytes of data where it lives. Analytics Architect on Amazon Athena. He has been working on query optimizers for over a decade.

Optimization 112

Optimization Statistics Metadata Data Lake 112

AWS Big Data

MARCH 20, 2023

In this post, we share how Poshmark improved CX and accelerated revenue growth by using a real-time analytics solution. High-level challenge: The need for real-time analytics Previous efforts at Poshmark for improving CX through analytics were based on batch processing of analytics data and using it on a daily basis to improve CX.

Analytics 52

Analytics Slice and Dice Data Processing Data Lake 52

AWS Big Data

AUGUST 22, 2023

AWS Glue integrates seamlessly with AWS services like Amazon S3, Amazon Relational Database Service (Amazon RDS), Amazon Redshift , Amazon DynamoDB , Amazon Kinesis Data Streams , and Amazon DocumentDB (with MongoDB compatibility) to offer a robust, cloud-native data integration solution.

Data Processing 88

Data Processing Testing Data Lake Data Integration 88

AWS Big Data

JUNE 6, 2023

After you create the table definition on the AWS Glue Data Catalog, you can use Athena to query the Data Catalog table. Query the Data Catalog table using Athena Athena is an interactive query service that makes it easy to analyze data in Amazon S3 and the AWS Glue Data Catalog using standard SQL.

Data Quality 71

Data Quality Metrics Visualization Dashboards 71

AWS Big Data

MARCH 7, 2023

Amazon Athena is a serverless, interactive analytics service built on open-source frameworks, supporting open-table and file formats. Athena provides a simplified, flexible way to analyze petabytes of data where it lives. Harsh Vardhan is an AWS Solutions Architect, specializing in analytics.

Data Lake 90

Data Lake Data-driven Big Data Interactive 90

AWS Big Data

APRIL 20, 2023

Customers use Amazon Redshift to run their business-critical analytics on petabytes of structured and semi-structured data. 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).

Data Lake 77

Data Lake Data Warehouse Sales Data-driven 77

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. To configure AWS CLI interaction with AWS, refer to Quick setup. He is passionate about big data and data analytics. X Python 3.8 Amazon EMR 6.1

Metadata 80

Metadata Testing Data Lake Consulting 80

AWS Big Data

JUNE 15, 2023

Amazon EMR is a top-tier cloud big data solution for petabyte-scale data processing, interactive analytics, and machine learning using open-source frameworks such as Apache Spark, Apache Hive, and Presto. His areas of expertise are databases and big data solutions for data engineering and analytics.

Data Lake 86

Data Lake Big Data Management Testing 86

Sisense

JANUARY 15, 2021

This is one of the reasons we’ve seen the rise of data teams — they’ve grown beyond Silicon Valley startups and are finding homes in Fortune 500 companies. As data has become more massive, the technical skills needed to wrangle it have also increased. Situation #2: Established company creates a data team for deeper insights.

Analytics 75

Analytics Data-driven Business Intelligence Visualization 75

AWS Big Data

MAY 16, 2024

However, visualizing and analyzing large-scale geospatial data presents a formidable challenge due to the sheer volume and intricacy of information. The need to balance detail and context while maintaining real-time interactivity can lead to issues of scalability and rendering complexity.

Data Warehouse 108

Data Warehouse Visualization Cost-Benefit Optimization 108

AWS Big Data

FEBRUARY 21, 2023

It is a data modeling methodology designed for large-scale data warehouse platforms. What is a data vault? The data vault approach is a method and architectural framework for providing a business with data analytics services to support business intelligence, data warehousing, analytics, and data science needs.

Data Warehouse 65

Data Warehouse Data Lake Cost-Benefit Metadata 65