AWS Big Data

MARCH 27, 2023

Developers, data scientists, and analysts can work across databases, data warehouses, and data lakes to build reporting and dashboarding applications, perform real-time analytics, share and collaborate on data, and even build and train machine learning (ML) models with Redshift Serverless.

Data Warehouse 92

Data Warehouse Management Snapshot Data Lake 92

Cloudera

MARCH 23, 2022

For example, a Jupyter notebook in CML, can use Spark or Python framework to directly access an Iceberg table to build a forecast model, while new data is ingested via NiFi flows, and a SQL analyst monitors revenue targets using Data Visualization. 2: Open formats. 3: Open Performance.

Metadata 92

Metadata Data Architecture Machine Learning Cost-Benefit 92

AWS Big Data

MARCH 29, 2024

Data Firehose uses an AWS Lambda function to transform data and ingest the transformed records into an Amazon Simple Storage Service (Amazon S3) bucket. An AWS Glue crawler scans data on the S3 bucket and populates table metadata on the AWS Glue Data Catalog.

Metrics 119

Metrics Visualization Dashboards Interactive 119

AWS Big Data

MARCH 25, 2024

They can perform a wide range of different tasks, such as natural language processing, classifying images, forecasting trends, analyzing sentiment, and answering questions. FMs are multimodal; they work with different data types such as text, video, audio, and images.

Data Lake 105

Data Lake Unstructured Data Management Snapshot 105

AWS Big Data

MARCH 26, 2024

Profile aggregation – When you’ve uniquely identified a customer, you can build applications in Managed Service for Apache Flink to consolidate all their metadata, from name to interaction history. Then, you transform this data into a concise format. Let’s find out what role each of these components play in the context of C360.

Data Strategy 78

Data Strategy Strategy Data Warehouse Prescriptive Analytics 78

IBM Big Data Hub

OCTOBER 12, 2023

Among the tasks necessary for internal and external compliance is the ability to report on the metadata of an AI model. Metadata includes details specific to an AI model such as: The AI model’s creation (when it was created, who created it, etc.) Learn more about IBM watsonx 1.

Cost-Benefit 76

Cost-Benefit Metadata Data Governance Modeling 76

Alation

DECEMBER 14, 2021

AWS has created a way to manage policies and access, but this is only for data lake formation. What about other data sources? Today, AWS is supporting growth in the bio-sciences, climate forecasts, driverless cars and many more new-age use cases. Get the latest data cataloging news and trends in your inbox.

Data Lake 52

Data Lake Data Warehouse Machine Learning Cost-Benefit 52

Cloudera

NOVEMBER 12, 2020

Inability to maintain context – This is the worst of them all because every time a data set or workload is re-used, you must recreate its context including security, metadata, and governance. Alternatively, you can also spin up a different compute cluster and access the data by using CDP’s Shared Data Experience.

Data Warehouse 104

Data Warehouse Reporting Risk Cost-Benefit 104

Alation

APRIL 6, 2023

Other forms of governance address specific sets or domains of data including information governance (for unstructured data), metadata governance (for data documentation), and domain-specific data (master, customer, product, etc.). Data catalogs and spreadsheets are related in many ways. a spreadsheet.

Data Governance 52

Data Governance Metadata Cost-Benefit Structured Data 52

Alation

MARCH 21, 2023

Using predictive analytics, travel companies can forecast customer demand around things like holidays or weather to set optimum prices that maximize revenue. Using Alation, ARC automated the data curation and cataloging process. “So

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Alation

AUGUST 2, 2022

Customer centricity requires modernized data and IT infrastructures. Too often, companies manage data in spreadsheets or individual databases. This means that you’re likely missing valuable insights that could be gleaned from data lakes and data analytics. Data discovery was conducted 67% times faster.

Cost-Benefit 52

Cost-Benefit Metrics Strategy Data Lake 52

Andrew White

JANUARY 11, 2021

Does Data warehouse as a software tool will play role in future of Data & Analytics strategy? You cannot get away from a formalized delivery capability focused on regular, scheduled, structured and reasonably governed data. Data lakes don’t offer this nor should they. E.g. Data Lakes in Azure – as SaaS.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

FEBRUARY 23, 2024

Source-to-target mapping integration tasks vary in complexity, depending on data hierarchy and structure. Business applications use metadata and semantic rules to ensure seamless data transfer without loss. Next, identify the data sources that will be involved in the mapping.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Visualization 52

Jet Global

SEPTEMBER 19, 2023

What are the best practices for analyzing cloud ERP data? Data Management How do we create a data warehouse or data lake in the cloud using our cloud ERP? How do I access the legacy data from my previous ERP? Self-service BI How can we rapidly build BI reports on cloud ERP data without any help from IT?

Cost-Benefit 52

Cost-Benefit Data Warehouse Reporting Enterprise 52