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 115

Data Lake Data Warehouse Data-driven B2B 115

AWS Big Data

NOVEMBER 22, 2023

Data lakes are designed for storing vast amounts of raw, unstructured, or semi-structured data at a low cost, and organizations share those datasets across multiple departments and teams. The queries on these large datasets read vast amounts of data and can perform complex join operations on multiple datasets.

Statistics 131

Statistics Data Lake Optimization Data-driven 131

AWS Big Data

MARCH 25, 2024

This dynamic integration of streaming data enables generative AI applications to respond promptly to changing conditions, improving their adaptability and overall performance in various tasks. To better understand this, imagine a chatbot that helps travelers book their travel.

Data Lake 122

Data Lake Unstructured Data Management Snapshot 122

IBM Big Data Hub

DECEMBER 16, 2022

You have a specific book in mind, but you have no idea where to find it. You enter the title of the book into the computer and the library’s digital inventory system tells you the exact section and aisle where the book is located. It uses metadata and data management tools to organize all data assets within your organization.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

AWS Big Data

JANUARY 8, 2024

Stream Processing – An application created with Amazon Managed Service for Apache Flink can read the records from the data stream to detect and clean any errors in the time series data and enrich the data with specific metadata to optimize operational analytics.

Analytics 134

Analytics IoT Data-driven Snapshot 134

bridgei2i

MARCH 3, 2021

Curious to know, like, what keeps you busy apart from data, lakes and technologies, what we just discussed? Prinkan: So I spend quite a lot of time reading books of different kinds as it gives me you know, different perspectives. I think, all said about the professional hustle we have been discussing about.

Enterprise 98

Enterprise Digital Transformation Data-driven Interactive 98

Alation

MARCH 21, 2023

Why is data analytics important for travel organizations? When it embarked on a digital transformation and modernization initiative in 2018, the company migrated all its data to AWS S3 Data Lake and Snowflake Data Cloud to provide accessibility to data to all users.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Domino Data Lab

AUGUST 8, 2019

Then down the long hallway that led into the Google X auditorium, there were stacks of amazing books written by notable scientists we were going to spend a weekend with in close quarters: talking, eating, debating, ideating, drinking, laughing, exchanging, planning how we collaborate going forward, etc. Nothing Spreads Like Fear”.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Alation

FEBRUARY 17, 2023

In this blog, I’ll address some of the questions we did not have time to answer live, pulling from both Dr. Reichental’s book as well as my own experience as a data governance leader for 30+ years. Can you have proper data management without establishing a formal data governance program? Where do you govern?

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 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

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

AWS Big Data

DECEMBER 19, 2024

Data lakes were originally designed to store large volumes of raw, unstructured, or semi-structured data at a low cost, primarily serving big data and analytics use cases. By using features like Icebergs compaction, OTFs streamline maintenance, making it straightforward to manage object and metadata versioning at scale.

Data Lake 98

Data Lake IoT Metadata Testing 98

AWS Big Data

APRIL 28, 2025

Use existing AWS Glue tables This section has following prerequisites: A data lake administrator user by following Create a data lake administrator. For detailed instruction see Revoking permission using the Lake Formation console. Choose AWS Glue (Lakehouse) for Data source type.

Metadata 62

Metadata Data Lake Big Data Publishing 62