Cloudera

AUGUST 21, 2024

The root of the problem comes down to trusted data. Pockets and siloes of disparate data can accumulate across an enterprise or legacy data warehouses may not be equipped to properly manage a sea of structured and unstructured data at scale. Open Data Lakehouse also offers expanded support for Python 3.10

Snapshot 66

Snapshot Unstructured Data Data Architecture Data Warehouse 66

Cloudera

SEPTEMBER 12, 2022

Organizations don’t know what they have anymore and so can’t fully capitalize on it — the majority of data generated goes unused in decision making. And second, for the data that is used, 80% is semi- or unstructured. Both obstacles can be overcome using modern data architectures, specifically data fabric and data lakehouse.

Unstructured Data 75

Unstructured Data Data Architecture Data Lake Snapshot 75

AWS Big Data

JANUARY 8, 2024

Stream ingestion – The stream ingestion layer is responsible for ingesting data into the stream storage layer. It provides the ability to collect data from tens of thousands of data sources and ingest in real time. State snapshot in Amazon S3 – You can store the state snapshot in Amazon S3 for tracking.

Analytics 133

Analytics IoT Data-driven Snapshot 133

AWS Big Data

MARCH 25, 2024

Furthermore, data events are filtered, enriched, and transformed to a consumable format using a stream processor. The result is made available to the application by querying the latest snapshot. For building such a data store, an unstructured data store would be best.

Data Lake 118

Data Lake Unstructured Data Management Snapshot 118

AWS Big Data

JULY 20, 2023

To overcome these issues, Orca decided to build a data lake. A data lake is a centralized data repository that enables organizations to store and manage large volumes of structured and unstructured data, eliminating data silos and facilitating advanced analytics and ML on the entire data.

Data Lake 98

Data Lake Analytics Snapshot Data Quality 98

AWS Big Data

MARCH 10, 2023

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

Data Lake 122

Data Lake Sales Data Warehouse Snapshot 122

Sisense

MAY 4, 2020

According to an Accenture study, 79 percent of enterprise executives say that not embracing Big Data will cause companies to lose competitive position and risk extinction. In order to get any value from it, 95 percent of businesses say they need to manage unstructured data. Organizations must adapt or die.

Big Data 78

Big Data Data-driven Snapshot Unstructured Data 78

AWS Big Data

JUNE 9, 2023

Offers different query types , allowing to prioritize data freshness (Snapshot Query) or read performance (Read Optimized Query). Clustering data for better data colocation using z-ordering. Considerations Data skipping using metadata column stats has to be supported in the query engine (currently only in Apache Spark).

Data Lake 130

Data Lake Metadata Statistics Optimization 130

Wayne Yaddow

MARCH 14, 2025

Snapshot testing augments debugging capabilities by recording past table states, facilitating the identification of unforeseen spikes, declines, or abnormalities before their effect on production systems. The following categories of transformations pose significant limitations for dbt Cloud and dbtCore : 1.

Data Transformation 52

Data Transformation Testing Unstructured Data Data Quality 52

Cloudera

NOVEMBER 15, 2024

Unstructured data not ready for analysis: Even when defenders finally collect log data, it’s rarely in a format that’s ready for analysis. Cyber logs are often unstructured or semi-structured, making it difficult to derive insights from them.

Analytics 59

Analytics Metadata Snapshot Data-driven 59

AWS Big Data

JULY 28, 2023

You can take advantage of the following benefits: It enables organizations to analyze diverse data sources, including structured, semi-structured, and unstructured data, facilitating comprehensive data exploration With its high-performance processing capabilities, Amazon Redshift handles large and complex datasets, ensuring fast query response times (..)

Data Lake 89

Data Lake Data Governance Data Warehouse Modeling 89

Cloudera

NOVEMBER 15, 2024

Unstructured data not ready for analysis: Even when defenders finally collect log data, it’s rarely in a format that’s ready for analysis. Cyber logs are often unstructured or semi-structured, making it difficult to derive insights from them.

Analytics 84

Analytics Metadata Snapshot Data-driven 84

Jet Global

NOVEMBER 7, 2023

This growth is caused, in part, by the increasing use of cloud platforms for data storage and processing. But it is also a result of the surge in multimedia content in cloud repositories that requires tools and methods for extracting insights from rich, unstructured data formats.

Enterprise 52

Enterprise Data Warehouse Operational Reporting Reporting 52