Smart Data Collective

AUGUST 25, 2020

Web developers utilized data to some capacity as well, but marketers rarely considered doing so. Big data has become critical to the evolution of digital marketing. Digital marketers can use data mining tools to assist them in a number of ways. One of the most overlooked factors is metadata.

Data mining 109

Data mining Metadata Big Data ROI 109

AWS Big Data

MARCH 2, 2023

Apache Iceberg is an open table format for very large analytic datasets, which captures metadata information on the state of datasets as they evolve and change over time. Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time travel, and rollback.

Data Lake 116

Data Lake Data Processing Metadata Snapshot 116

AWS Big Data

JUNE 9, 2023

Despite these capabilities, data lakes are not databases, and object storage does not provide support for ACID processing semantics, which you may require to effectively optimize and manage your data at scale across hundreds or thousands of users using a multitude of different technologies.

Data Lake 113

Data Lake Metadata Optimization Statistics 113

AWS Big Data

JULY 20, 2023

The Orca Platform is powered by a state-of-the-art anomaly detection system that uses cutting-edge ML algorithms and big data capabilities to detect potential security threats and alert customers in real time, ensuring maximum security for their cloud environment. Why did Orca choose Apache Iceberg?

Data Lake 85

Data Lake Analytics Snapshot Optimization 85

Cloudera

JULY 14, 2023

Introduction For more than a decade now, the Hive table format has been a ubiquitous presence in the big data ecosystem, managing petabytes of data with remarkable efficiency and scale. They also provide a “ snapshot” procedure that creates an Iceberg table with a different name with the same underlying data.

Snapshot 69

Snapshot Metadata Data Warehouse Testing 69

AWS Big Data

AUGUST 16, 2023

Iceberg manages large collections of files as tables, and it supports modern analytical data lake operations such as record-level insert, update, delete, and time travel queries. Iceberg also helps guarantee data correctness under concurrent write scenarios. We fetch the metadata of the users_xxxxxx table from Athena.

Data Lake 69

Data Lake Metadata Testing Snapshot 69

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift delivers on that needed performance through a number of mechanisms such as caching, automated data model optimization, and automated query rewrites. The large majority of queries in a typical production data warehouse are repeat queries, and data warehouses with data vault implementations observe the same pattern.

Enterprise 83

Enterprise Data Warehouse Snapshot Cost-Benefit 83

AWS Big Data

JANUARY 24, 2023

This solution only replicates metadata in the Data Catalog, not the actual underlying data. To have a redundant data lake using Lake Formation and AWS Glue in an additional Region, we recommend replicating the Amazon S3-based storage using S3 replication , S3 sync, aws-s3-copy-sync-using-batch or S3 Batch replication process.

Data Architecture 64

Data Architecture Metadata Data Lake Snapshot 64

AWS Big Data

AUGUST 23, 2023

Collections are able to take advantage of the S3 storage layer to reduce the need for hot storage, and reduce cost, by bringing data into local store when it’s accessed. OpenSearch Serverless optimizes resource use depending on the type you set. Index and data streams management With the support of OpenSearch 2.5

Snapshot 93

Snapshot Dashboards Visualization Metrics 93

AWS Big Data

JULY 3, 2023

Backtesting is a process used in quantitative finance to evaluate trading strategies using historical data. This helps traders determine the potential profitability of a strategy and identify any risks associated with it, enabling them to optimize it for better performance.

Snapshot 82

Snapshot Data Lake Testing Strategy 82

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 111

Analytics IoT Data-driven Snapshot 111

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 102

Data Lake Sales Data Warehouse Snapshot 102

AWS Big Data

JANUARY 17, 2024

Incremental query refers to a query strategy that focuses on processing and analyzing only the new or updated data within a data lake since the last query. The key idea behind incremental queries is to use metadata or change tracking mechanisms to identify the new or modified data since the last query.

Data Lake 92

Data Lake Snapshot Big Data Data-driven 92

AWS Big Data

SEPTEMBER 13, 2023

Moreover, the framework should consume compute resources as optimally as possible per the size of the operational tables. For example, to create source-aligned datasets in the data lake for 3,000 operational tables, the company didn’t want to deploy 3,000 separate data processing jobs.

Data Lake 90

Data Lake Data Processing Metadata Snapshot 90

AWS Big Data

NOVEMBER 6, 2023

You can see the time each task spends idling while waiting for the Redshift cluster to be created, snapshotted, and paused. Airflow will cache variables and connections locally so that they can be accessed faster during DAG parsing, without having to fetch them from the secrets backend, environments variables, or metadata database.

Metrics 102

Metrics Metadata Snapshot Management 102

AWS Big Data

FEBRUARY 13, 2023

To assess the nodes and find an optimal RA3 cluster configuration, we collaborated with AllCloud , the AWS premier consulting partner. To do this, we required the following: A reference cluster snapshot – This ensures that we can replay any tests starting from the same state. Take snapshot from 6 x RA3.4xlarge.

Snapshot 65

Snapshot Data Warehouse Testing Analytics 65

AWS Big Data

NOVEMBER 29, 2023

This post demonstrates how the dbt-glue adapter helps your workload, and how you can build a modern data stack using dbt and AWS Glue using the dbt-glue adapter. The team uses dbt-glue to build a transformed gold model optimized for business intelligence (BI). He works based in Tokyo, Japan.

Data Lake 102

Data Lake Management Metrics Data Warehouse 102

Cloudera

FEBRUARY 8, 2024

It brings the reliability and simplicity of SQL tables to big data while enabling engines like Hive, Impala, Spark, Trino, Flink, and Presto to work with the same tables at the same time. The snapshotId of the source tables involved in the materialized view are also maintained in the metadata.

Snapshot 88

Snapshot Metadata Cost-Benefit Data Warehouse 88

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. Learn more about AWS data streaming services and get started building your own data streaming solution.

Data Lake 90

Data Lake Unstructured Data Management Modeling 90

AWS Big Data

JUNE 12, 2023

After the processed data is stored in Amazon S3, we create an AWS Glue crawler to create a Data Catalog table that acts as a metadata layer for the data. The table can be queried using Amazon Athena , a serverless, interactive query service that enables running SQL-like queries on data stored in Amazon S3.

Management 76

Management Metadata Testing Internet of Things 76

AWS Big Data

MARCH 3, 2023

You can then apply transformations and store data in Delta format for managing inserts, updates, and deletes. Amazon EMR Serverless is a serverless option in Amazon EMR that makes it easy for data analysts and engineers to run open-source big data analytics frameworks without configuring, managing, and scaling clusters or servers.

Data Lake 80

Data Lake Dashboards Metrics Metadata 80

Cloudera

FEBRUARY 22, 2022

Over the past decade, the successful deployment of large scale data platforms at our customers has acted as a big data flywheel driving demand to bring in even more data, apply more sophisticated analytics, and on-board many new data practitioners from business analysts to data scientists.

Snapshot 105

Snapshot Metadata Cost-Benefit Data Architecture 105

IBM Big Data Hub

JUNE 7, 2023

A management platform like IBM Storage Defender with a single pane of glass optimized for personas based on their specific roles (e.g., data, security, infrastructure or governance) can bring the right groups together to converge on the recovery plan.

Snapshot 84

Snapshot Metadata Enterprise Testing 84