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

Cloudera

JUNE 13, 2024

There were thousands of attendees at the event – lining up for book signings and meetings with recruiters to fill the endless job openings for developers experienced with MapReduce and managing Big Data. This was the gold rush of the 21st century, except the gold was data.

Big Data 103

Big Data Machine Learning Contextual Data Data Lake 103

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 121

Data Lake Unstructured Data Management Snapshot 121

AWS Big Data

OCTOBER 25, 2023

The following is a high-level architecture of the solution we can build to process the unstructured data, assuming the input data is being ingested to the raw input object store. The steps of the workflow are as follows: Integrated AI services extract data from the unstructured data.

Unstructured Data 133

Unstructured Data Metadata Management Analytics 133

AWS Big Data

JANUARY 8, 2024

Kinesis Data Streams has native integrations with other AWS services such as AWS Glue and Amazon EventBridge to build real-time streaming applications on AWS. Refer to Amazon Kinesis Data Streams integrations for additional details. In his spare time, Raghavarao enjoys spending time with his family, reading books, and watching movies.

Analytics 134

Analytics IoT Data-driven Snapshot 134

Peter James Thomas

APRIL 9, 2019

This article offers a framework for building momentum in the early stages of a Data Programme. Analytics & Big Data. A review of some of the problems that can beset Data Lakes, together with some ideas about what to do to fix these from Dan Woods (Forbes), Paul Barth (Podium Data) and Dave Wells (Eckerson Group).

Data-driven 49

Data-driven Statistics Data Science Big Data 49

Peter James Thomas

APRIL 3, 2020

The way that this consistency of figures is achieved is by all elements of the Structured Reporting Framework drawing their data from the same data repositories. Without paying attention to this, your shiny warehouse or data lake will be a technological curiosity, not an indispensable business tool.

Dashboards 61

Dashboards Reporting Sales Data Lake 61

Jet Global

OCTOBER 1, 2024

Trino allows users to run ad hoc queries across massive datasets, making real-time decision-making a reality without needing extensive data transformations. This is particularly valuable for teams that require instant answers from their data. Data Lake Analytics: Trino doesn’t just stop at databases.

Dashboards 52

Dashboards Data Lake Reporting Cost-Benefit 52

AWS Big Data

DECEMBER 4, 2024

FGAC enables you to granularly control access to your data lake resources at the table, column, and row levels. This level of control is essential for organizations that need to comply with data governance and security regulations, or those that deal with sensitive data. through Lake Formation permissions.

Data Lake 118

Data Lake Big Data Management Software 118

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. He is also the author of the book Serverless ETL and Analytics with AWS Glue.

Metadata 61

Metadata Data Lake Big Data Publishing 61

AWS Big Data

OCTOBER 30, 2024

This is the final part of a three-part series where we show how to build a data lake on AWS using a modern data architecture. This post shows how to process data with Amazon Redshift Spectrum and create the gold (consumption) layer. The following diagram illustrates the different layers of the data lake.

Data Lake 96

Data Lake Machine Learning Data Architecture Data-driven 96