AWS Big Data

MARCH 25, 2024

A RAG-based generative AI application can only produce generic responses based on its training data and the relevant documents in the knowledge base. For example, Amazon DynamoDB provides a feature for streaming CDC data to Amazon DynamoDB Streams or Kinesis Data Streams.

Data Lake 92

Data Lake Unstructured Data Management Modeling 92

Cloudera

SEPTEMBER 28, 2020

The customer leverages Cloudera’s multi-function analytics stack in CDP. The data lifecycle model ingests data using Kafka, enriches that data with Spark-based batch process, performs deep data analytics using Hive and Impala, and finally uses that data for data science using Cloudera Data Science Workbench to get deep insights.

Testing 131

Testing Metadata Risk Data Science 131

DataKitchen

JANUARY 23, 2023

DataOps Observability includes monitoring and testing the data pipeline, data quality, data testing, and alerting. Data testing is an essential aspect of DataOps Observability; it helps to ensure that data is accurate, complete, and consistent with its specifications, documentation, and end-user requirements.

Testing 130

Testing Data Governance Data Quality Data-driven 130

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. It’s raw, unprocessed data straight from the source.

Data Warehouse 107

Data Warehouse Testing Data Quality Reporting 107

AWS Big Data

SEPTEMBER 7, 2023

For more information, see Create an IAM Role for AWS Glue in the AWS Glue documentation. For more information, see How to Enable Server Access Logging in the Amazon S3 documentation. She has over a decade of experience helping customers design and build data analytics, and database solutions. Big Data Architect.

Metadata 101

Metadata Dashboards Metrics Visualization 101

Cloudera

DECEMBER 8, 2020

We have accomplished this significant improvement through supporting the deployment of the Cloudera Data Platform (CDP) Private Cloud Base on FIPS mode enabled RedHat Enterprise Linux (RHEL) and CentOS Operating Systems (OS), as well as through the use of FIPS 140-2 validated encryption modules. . Cloudera for Government.

IoT 64

IoT Enterprise Data Architecture Interactive 64

Alation

APRIL 14, 2022

Data discovery is also critical for data governance , which, when ineffective, can actually hinder organizational growth. And, as organizations progress and grow, “data drift” starts to impact data usage, models, and your business. Edge computing can be decentralized from on-premises, cellular, data centers, or the cloud.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

Alation

OCTOBER 12, 2021

Enterprise data analytics enables businesses to answer questions like these. Having a data analytics strategy is a key to delivering answers to these questions and enabling data to drive the success of your business. What is Enterprise Data Analytics? The third challenge was around trusting the data.

Strategy 52

Strategy Enterprise Analytics Data Governance 52

IBM Big Data Hub

AUGUST 15, 2023

Artificial intelligence in business is already driving organizational changes in how companies approach data analytics and cybersecurity threat detection. AI starts with data To launch a truly effective AI program for your business, you must have clean quality datasets and an adequate data architecture for storing and accessing it.

IT 76

IT Data Governance Modeling Cost-Benefit 76

AWS Big Data

JANUARY 22, 2024

Cost and resource efficiency – This is an area where Acast observed a reduction in data duplication, and therefore cost reduction (in some accounts, removing the copy of data 100%), by reading data across accounts while enabling scaling. Srikant Das is an Acceleration Lab Solutions Architect at Amazon Web Services.

Data-driven 87

Data-driven Advertising Metadata Data Architecture 87

AWS Big Data

AUGUST 2, 2023

Using existing analytics tools such as Amazon Athena and Amazon QuickSight an organization can gain insight into its estimated carbon footprint. The data architecture diagram below shows an example of how you could use AWS services to calculate and visualize an organization’s estimated carbon footprint.

Data Lake 74

Data Lake Measurement Visualization Data Architecture 74

Alation

JULY 7, 2022

As Alation worked to create a new category of enterprise data management tool, the data catalog , Aaron wanted to also use this new technology to advance the cause of academic research. Aaron turned his attention from Alation Open to launch the Alation Data Catalog. programs in Information Science and Data Analytics.

Metadata 52

Metadata Data-driven Insurance Statistics 52

AWS Big Data

FEBRUARY 7, 2024

Consult your IdP documentation. Luca Menichetti is a Big Data Architect with Amazon Web Services. He helps customers develop performant and reusable solutions to process data at scale. Luca is passioned about managing organisation’s data architecture, enabling data analytics and machine learning.

Dashboards 85

Dashboards Data Processing Metadata Consulting 85

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 115

Data Lake Metadata Optimization Statistics 115

AWS Big Data

APRIL 3, 2023

Systems Manager runs an AWS-RunShellScript SSM document to run the RSQL job on the EC2 instance. About the Authors Akhil is a Data Analytics Consultant at AWS Professional Services. He helps customers design & build scalable data analytics solutions and migrate data pipelines and data warehouses to AWS.

Data Warehouse 99

Data Warehouse Testing Data Lake Data-driven 99

Ontotext

FEBRUARY 26, 2024

Firstly, on the data maturity spectrum, the vast majority of organizations I’ve spoken with are stuck in the information stage. They have massive amounts of data they’re collecting and storing in their relational databases, document stores, data lakes, and data warehouses.

Technology 52

Technology Cost-Benefit Data-driven Metadata 52

Andrew White

JANUARY 9, 2022

To drive a successful Data Analytics strategy do you think it is a multidisciplinary activity and if so, what additional roles would you expect to see involved. I would have to admit that there are few documents that talk about all the connections across any set of topics. We write about data and analytics.

Analytics 64

Analytics Measurement Modeling Data-driven 64

O'Reilly on Data

SEPTEMBER 11, 2019

But we wanted to see what an analysis of the event’s proposal data itself might reveal about the state of the field at this point in time. So, we used a form of the Term Frequency-Inverse Document Frequency (TF/IDF) technique to identify and rank the top terms in this year’s Strata NY proposal topics—as well as those for 2018, 2017, and 2016.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

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. The application thus becomes a vital information hub. Read carefully.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52