Tim Mitchell

JUNE 7, 2021

A proper development environment is logically separated from the production environment, and is often further partitioned into different realms for initial development, data or functional validation, and. The post Let’s Talk About Your Development Environment appeared first on Tim Mitchell.

Data Architecture 130

Data Architecture 130

Astera

FEBRUARY 28, 2024

Techniques like indexing, partitioning, caching, compression, and parallel processing play pivotal roles. When partitioning, select the right column, align with query patterns, and avoiding over-partitioning Partitioning is the process of dividing a large table or index into smaller, more manageable units called partitions.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

FEBRUARY 27, 2024

Techniques like indexing, partitioning, caching, compression, and parallel processing play pivotal roles. 2. Partitioning Partitioning is the process of dividing a large table or index into smaller, more manageable units called partitions. It does so by organizing the data into facts and dimensions.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

FEBRUARY 27, 2024

Techniques like indexing, partitioning, caching, compression, and parallel processing play pivotal roles. 2. Partitioning Partitioning is the process of dividing a large table or index into smaller, more manageable units called partitions. It does so by organizing the data into facts and dimensions.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Smart Data Collective

SEPTEMBER 15, 2021

The CAP, which stands for Consistency, Availability and Partition Tolerance theorem issue, is something that data streams directly face. A business organization sometimes requires dealing with real-time data processing issues, late-arriving information and system outages. Conclusion.

Real-time Data 274

Real-time Data Customer Experience Customer Experience Data Architecture 274

Marutitech

JUNE 30, 2022

You can further divide the connectivity model into partition-based and proximity-based models. Partition-based models follow two approaches: the first approach involves classifying all data points into clusters and aggregating them as distance decreases. Partition Clustering. Distribution Clustering .

Predictive Analytics 52

Predictive Analytics Data Mining Logistics Vision 52

Whizlabs

APRIL 9, 2021

Every piece of data within the stream consists of a data blob, partition key, and sequence number. Each topic is considered as a partition of such logs that is immutable and is ordered. Apache Kafka partition. As a result, AWS Kinesis will help you achieve high throughput to KDS. These logs of records are also known as topics!

Data Analytics 111

Data Analytics Data Analytics Data Security Planning 111

InfoQ Articles

FEBRUARY 18, 2021

A quadtree is a tree data structure that allows the user to partition a two-dimensional space and to quickly find the intersection of objects. In this article we show how we used it to improve the performance of our route editor. By Nina Fursova.

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BizAcuity

APRIL 1, 2023

The platform supports a Table partitioning feature and enforces Primary and Secondary Indexes. Data is stored in a row-based format. It supports a hybrid storage model in which frequently accessed data is stored in SSD whereas rarely accessed data is stored on HDD.

Data Warehouse 130

Data Warehouse Monitoring Planning Data Modelling 130

Astera

JUNE 1, 2023

SQL databases generally employ horizontal scalability, which includes sharding, where they divide tables into smaller partitions and distribute them across multiple servers. However, if availability and partition tolerance is essential, then a NoSQL database following the CAP theorem is the better choice.

Documentation 52

Documentation E-Commerce Big Data Master Data Management 52

Astera

JUNE 1, 2023

SQL databases generally employ horizontal scalability, which includes sharding, where they divide tables into smaller partitions and distribute them across multiple servers. However, if availability and partition tolerance is essential, then a NoSQL database following the CAP theorem is the better choice.

Documentation 52

Documentation E-Commerce Big Data Master Data Management 52

BI Insight

JULY 20, 2014

Just go to the table you’ve made some changes and click on “Partitions” button. You’ve changed something in your Tabular model and you’re facing an ugly “Error: Object reference not set to an instance of an object.” message, don’t rush. Then click “Refresh Preview” button and click OK.

Business Intelligence 100

Business Intelligence Business Intelligence 100

BI Insight

JULY 20, 2014

Just go to the table you’ve made some changes and click on “Partitions” button. You’ve changed something in your Tabular model and you’re facing an ugly “Error: Object reference not set to an instance of an object.” message, don’t rush. Then click “Refresh Preview” button and click OK.

Business Intelligence 100

Business Intelligence Business Intelligence 100

BizAcuity

SEPTEMBER 22, 2022

The platform supports a Table partitioning feature and enforces Primary and Secondary Indexes. Data is stored in a row-based format. It supports a hybrid storage model in which frequently accessed data is stored in SSD whereas rarely accessed data is stored on HDD.

Data Warehouse 130

Data Warehouse Monitoring Planning Data Modelling 130

Astera

JUNE 6, 2023

These architectures are designed to handle massive datasets by utilizing distributed computing frameworks like Apache Hadoop and Apache Spark, along with employing parallel processing and data partitioning techniques. Data Transformation: Apply transformation rules for data cleansing, validation, formatting, standardization, and profiling.

Data Quality 52

Data Quality Monitoring Data Warehouse Data Security 52

Sisense

APRIL 21, 2020

with us_cases as ( select TO_DATE(OBSERVATIONDATE) as OBSERVATION_DATE , sum(confirmed) as CONFIRMED_CASES from [covid_19_2020_03_29] where COUNTRYREGION = 'US' group by OBSERVATION_DATE ) , us_cases_with_row_nums as ( select row_number() over(partition by 1 order by OBSERVATION_DATE) as row_number , * from us_cases ).

Government 86

Government Healthcare Visualization 86

Smart Data Collective

AUGUST 5, 2021

The partition size for each key is unpredictable on each run. Delta lake allows thousands of data to run in parallel, address optimization and partition challenges, faster metadata operations, maintains a transactional log and continuously keeps updating the data. Another challenge is the joining of datasets to derive insights.

Cybersecurity 358

Cybersecurity Monitoring Big Data Data Management 358

Domo

APRIL 14, 2021

Switching to a partition-based load strategy made our data warehouse more scalable, flexible, manageable, and accurate.”. Trimble was losing clients because of the inability of the prior data warehouse to scale,” said Ament, Trimble’s Data Warehouse Manager.

Agile 98

Agile Data Warehouse Data Architecture Logistics 98

Astera

DECEMBER 29, 2023

Scalability Requirements If your organization is experiencing growing data volumes, it can benefit from SQL Server’s features like partitioning and parallel processing to meet scalability demands. This includes gaining knowledge about indexing strategies, partitioning, and statistics maintenance.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Astera

DECEMBER 29, 2023

Scalability Requirements If your organization is experiencing growing data volumes, it can benefit from SQL Server’s features like partitioning and parallel processing to meet scalability demands. This includes gaining knowledge about indexing strategies, partitioning, and statistics maintenance.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Tableau

AUGUST 23, 2021

TL;DR: Try using joins for getting data from a prior row or partition, running totals, and cross joins. Spencer Bauke explains how you can use joins to aid forecasting models framed in the common industry use case of forecasting product inventory. Ken Flerlage lists three more creative uses of joins. Calculations. Visualise Our Survey Data.

Visualization 111

Visualization Data Analytics Data Analytics 111

Whizlabs

MAY 2, 2021

VLAN is a virtual local area network, and just like Subnet, it is one of the possible technologies that can be used for partitioning the existing cloud network. But, with the use of VLAN, the partitions are occurred in respective layers as per the OSI model. These are not publicly visible and are not accessible as well.

Cloud Computing 98

Cloud Computing Data Analytics Data Analytics Agile 98

Tableau

AUGUST 23, 2021

TL;DR: Try using joins for getting data from a prior row or partition, running totals, and cross joins. . Spencer Bauke explains how you can use joins to aid forecasting models framed in the common industry use case of forecasting product inventory. Ken Flerlage lists three more creative uses of joins. Calculations. Visualise Our Survey Data.

Visualization 93

Visualization Data Analytics Data Analytics 93

Astera

MAY 25, 2023

Optimizing Performance of Snowflake The performance of Snowflake can be further optimized by taking certain steps, such as: Leverage Clustering Keys Clustering keys should be used to organize data in micro-partitions. Additionally, micro-partitions are automatically compressed, which reduces storage usage.

Data Quality 52

Data Quality Government Data Governance Monitoring 52

Cprime

AUGUST 17, 2023

The goal is partitioning requests into logical groupings that make fulfillment straightforward. Too few categories creates gaps; too many becomes unwieldy. Periodic reevaluation of the catalog ensures it evolves appropriately as the business and technology landscape changes.

Change Management 52

Change Management Retail Government Planning 52

Whizlabs

JUNE 16, 2021

The data partitions within the Amazon Elasticsearch Service are termed as shards. The primary shard count specifies the number of data partitions created by Elasticsearch. When you create a new index every day, make sure to archive & delete the older one present within the cluster.

Visualization 52

Visualization Monitoring Planning 52

Domo

OCTOBER 22, 2021

Data silos are often exacerbated by multiple cloud environments configured and partitioned for each line of business. This makes it even more difficult to integrate data from each group, as each of these environments is rigid, shaped as they are by their own domain knowledge, schema, or data dictionaries.

Data Warehouse 52

Data Warehouse Embedded Analytics Government Digital Transformation 52

Astera

MAY 23, 2023

Although similar in many ways to PostgreSQL, there are some significant differences between them – most notably in terms of scalability and performance.

Big Data 52

Big Data Visualization Data Management 52

BI Insight

MARCH 10, 2024

In the two previous posts of the Incremental Refresh in Power BI series, we have learned what incremental refresh is, how to implement it, and best practices on how to safely publish the semantic model changes to Microsoft Fabric (aka Power BI Service).

Data Modelling 222

Data Modelling 222

Astera

MAY 23, 2023

Additionally, Amazon RDS offers a wide range of instance types from several generations of processor technology, while Amazon Aurora offers features such as query caching, parallel query execution , table partitioning, memory caching, and index optimizations to help optimize query performance.

Data Management 52

Data Management Data Security Monitoring 52

BI Insight

JANUARY 5, 2024

In a previous post, I shared a comprehensive guide on implementing Incremental Data Refresh in Power BI Desktop. We covered essential concepts such as truncation and load versus incremental load, understanding historical and incremental ranges, and the significant benefits of adopting incremental refresh for large tables.

Data Modelling 267

Data Modelling 267

GlowTouch

JUNE 22, 2021

We cover the QA and testing process from start to finish with test management, test automation and a range of specialty services, including: Test planning, partitioning of functional decomposition, requirements definition and verification, test case design, traceability matrix and test case evaluation, and defect management and coverage analysis.

Customer Experience 52

Customer Experience Customer Experience Innovation Planning 52

Domo

DECEMBER 12, 2020

If you restate previously published data, you can use partition and upsert capabilities to update your datasets with restated data and select a rolling window of data to keep in Domo. The Salesforce With Upsert Connector supports the Upsert mode along with Append and Replace modes for scheduling datasets. Salesforce Writeback Connector.

E-Commerce 52

E-Commerce Finance Visualization Customer Experience 52

Astera

NOVEMBER 28, 2023

Optimize Data Management: Data partitioning divides a large database into smaller, more manageable segments based on specific criteria, improving query performance and streamlining data management tasks.

Data Warehouse 52

Data Warehouse Monitoring Data Security Healthcare 52

Sisense

JANUARY 21, 2020

In general, it is not possible to give a rule of thumb about when data should be partitioned or combined. In our case, when we take the lurking variable into consideration, it’s clear that the sugar cookie flavor should be the winner since both men and women prefer it over ginger. It really depends on the circumstances.

104

104

Whizlabs

JUNE 1, 2021

Under the ‘Add Container’ window, you will have to input some of the requested information such as database ID, database throughput, container ID, or name and partition key. . Scroll to the right and find the ‘Add Container’ window. . Click on OK to create a database and container altogether within the Azure Cosmos DB account.

Big Data 88

Big Data Documentation Data Analytics Data Analytics 88

Astera

JUNE 8, 2023

These include sharding, partitioning, or clustering. Users must consider the following points when choosing the most appropriate database management system: Performance: A database management system (DBMS) should offer high-performance capabilities for efficient data processing, query execution, and indexing.

Documentation 52

Documentation Cloud Computing Data Security Data Warehouse 52