AWS Big Data

AUGUST 21, 2024

The current scaling approach of Amazon Redshift Serverless increases your compute capacity based on the query queue time and scales down when the queuing reduces on the data warehouse. In this post, we describe how Redshift Serverless utilizes the new AI-driven scaling and optimization capabilities to address common use cases.

Optimization 105

Optimization Data Lake Data Warehouse Cost-Benefit 105

Cloudera

DECEMBER 11, 2020

In this blog post, we compare Cloudera Data Warehouse (CDW) on Cloudera Data Platform (CDP) using Apache Hive-LLAP to EMR 6.0 (also powered by Apache Hive-LLAP) on Amazon using the TPC-DS 2.9 Cloudera Data Warehouse vs EMR. Learn more about Cloudera Data Warehouse on CDP.

Data Warehouse 111

Data Warehouse Metadata Machine Learning Measurement 111

O'Reilly on Data

OCTOBER 19, 2021

Since software engineers manage to build ordinary software without experiencing as much pain as their counterparts in the ML department, it begs the question: should we just start treating ML projects as software engineering projects as usual, maybe educating ML practitioners about the existing best practices? Orchestration. Versioning.

IT 350

IT Testing Experimentation Software 350

CIO Business Intelligence

JUNE 9, 2022

A data management platform (DMP) is a group of tools designed to help organizations collect and manage data from a wide array of sources and to create reports that help explain what is happening in those data streams. Deploying a DMP can be a great way for companies to navigate a business world dominated by data.

Management 144

Management Advertising Data Lake Sales 144

DataKitchen

AUGUST 19, 2021

Below is our fourth post (4 of 5) on combining data mesh with DataOps to foster innovation while addressing the challenges of a decentralized architecture. We’ve covered the basic ideas behind data mesh and some of the difficulties that must be managed. The third set of domains are cached data sets (e.g.,

Data Warehouse 246

Data Warehouse Data Lake Manufacturing Testing 246

AWS Big Data

JUNE 21, 2023

Amazon DynamoDB is a fully managed NoSQL service that delivers single-digit millisecond performance at any scale. These types of queries are suited for a data warehouse. Amazon Redshift is fully managed, scalable, cloud data warehouse. To house our data, we need to define a data model.

Data Warehouse 104

Data Warehouse Data Lake OLAP Cost-Benefit 104

CIO Business Intelligence

DECEMBER 20, 2024

Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). An organizations data architecture is the purview of data architects. Cloud computing.

Data Architecture 98

Data Architecture Management Consulting Internet of Things 98

AWS Big Data

OCTOBER 17, 2023

With Amazon Redshift, you can use standard SQL to query data across your data warehouse, operational data stores, and data lake. Migrating a data warehouse can be complex. You have to migrate terabytes or petabytes of data from your legacy system while not disrupting your production workload.

Data Warehouse 110

Data Warehouse Data Processing Data Lake Management 110

DataKitchen

APRIL 13, 2021

Testing and Data Observability. Sandbox Creation and Management. We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Monte Carlo Data — Data reliability delivered.

Testing 312

Testing Machine Learning Consulting Data Quality 312

datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Cloudera

OCTOBER 10, 2024

The open data lakehouse is quickly becoming the standard architecture for unified multifunction analytics on large volumes of data. It combines the flexibility and scalability of data lake storage with the data analytics, data governance, and data management functionality of the data warehouse.

Optimization 90

Optimization Snapshot Data Lake Cost-Benefit 90

AWS Big Data

APRIL 29, 2024

In the realm of big data, securing data on cloud applications is crucial. This post explores the deployment of Apache Ranger for permission management within the Hadoop ecosystem on Amazon EKS. Apache Ranger is a comprehensive framework designed for data governance and security in Hadoop ecosystems.

Management 115

Management Big Data Data Warehouse Metadata 115

Cloudera

APRIL 3, 2023

In this blog, we will share with you in detail how Cloudera integrates core compute engines including Apache Hive and Apache Impala in Cloudera Data Warehouse with Iceberg. We will publish follow up blogs for other data services. Instead, Iceberg is intended for managing large, infrequently changing datasets.

Data Warehouse 87

Data Warehouse Snapshot Metadata Cost-Benefit 87

AWS Big Data

SEPTEMBER 11, 2024

Their large inventory requires extensive supply chain management to source parts, make products, and distribute them globally. This post describes how HPE Aruba automated their Supply Chain management pipeline, and re-architected and deployed their data solution by adopting a modern data architecture on AWS.

Data Architecture 110

Data Architecture Optimization Data Warehouse Metadata 110

datapine

SEPTEMBER 27, 2022

Structured Query Language (SQL) is the most popular language utilized to create, access, manipulate, query, and manage databases. But before we do, let’s explore some interesting SQL facts: SQL assists in the structuring and management of information in a database, in addition to conducting searches for information using structures.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

AWS Big Data

NOVEMBER 22, 2024

This integration enables data teams to efficiently transform and manage data using Athena with dbt Cloud’s robust features, enhancing the overall data workflow experience. This enables you to extract insights from your data without the complexity of managing infrastructure.

Data Lake 100

Data Lake Data Warehouse Cost-Benefit Data Transformation 100

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 128

Data Warehouse Analytics Data Lake Machine Learning 128

AWS Big Data

AUGUST 1, 2024

Large-scale data warehouse migration to the cloud is a complex and challenging endeavor that many organizations undertake to modernize their data infrastructure, enhance data management capabilities, and unlock new business opportunities.

Data Warehouse 113

Data Warehouse KPI Optimization Cost-Benefit 113

AWS Big Data

DECEMBER 17, 2024

Amazon Redshift , launched in 2013, has undergone significant evolution since its inception, allowing customers to expand the horizons of data warehousing and SQL analytics. Industry-leading price-performance Amazon Redshift offers up to three times better price-performance than alternative cloud data warehouses.

Data Lake 78

Data Lake Data Warehouse Data-driven Optimization 78

Cloudera

DECEMBER 20, 2022

The move toward renewable energy has a distinct and significant impact on energy generation and distribution that needs to be carefully managed. Efficient use of data will therefore be critical to improving the competitiveness and productivity of assets, both traditional and renewable generation. Data efficiency in renewables.

Optimization 86

Optimization Data Analytics Analytics Cost-Benefit 86

AWS Big Data

MAY 2, 2024

Amazon Redshift recently announced integration with Visual Studio Code (), an action that transforms the way data practitioners engage with Amazon Redshift and reshapes your interactions and practices in data management. Traditionally, they had to use QE v2 for their development tasks, which wasn’t the most optimal solution.

Visualization 118

Visualization Data Warehouse Data-driven Management 118

datapine

FEBRUARY 10, 2021

Likes, comments, shares, reach, CTR, conversions – all have become extremely significant to optimize and manage regularly in order to grow in our competitive digital environment. You need to know how the audience responds, whether you need further adjustments, and how to gather accurate, real-time data.

Dashboards 193

Dashboards Scorecard KPI Metrics 193

CIO Business Intelligence

SEPTEMBER 22, 2023

Data management platform definition A data management platform (DMP) is a suite of tools that helps organizations to collect and manage data from a wide array of first-, second-, and third-party sources and to create reports and build customer profiles as part of targeted personalization campaigns.

Management 105

Management Advertising Data Lake Sales 105

AWS Big Data

OCTOBER 26, 2023

times better price-performance than other cloud data warehouses on real-world workloads using advanced techniques like concurrency scaling to support hundreds of concurrent users, enhanced string encoding for faster query performance, and Amazon Redshift Serverless performance enhancements. Amazon Redshift delivers up to 4.9

Data Warehouse 119

Data Warehouse Cost-Benefit Dashboards Optimization 119

CIO Business Intelligence

JULY 28, 2023

Enterprises are dealing with increasing amounts of data, and managing it has become imperative to optimize its value and keep it secure. Data lifecycle management is essential to ensure it is managed effectively from creation, storage, use, sharing, and archive to the end of life when it is deleted.

Risk 98

Risk Management Data mining Cost-Benefit 98

AWS Big Data

OCTOBER 25, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. Amazon Redshift’s advanced Query Optimizer is a crucial part of that leading performance.

Statistics 105

Statistics Data Warehouse Metadata Data Lake 105

AWS Big Data

FEBRUARY 1, 2024

Trade quality and optimization – In order to monitor and optimize trade quality, you need to continually evaluate market characteristics such as volume, direction, market depth, fill rate, and other benchmarks related to the completion of trades. This will be your OLTP data store for transactional data. version cluster.

Data Warehouse 134

Data Warehouse Dashboards Risk Management Risk 134

AWS Big Data

NOVEMBER 27, 2024

While customers can perform some basic analysis within their operational or transactional databases, many still need to build custom data pipelines that use batch or streaming jobs to extract, transform, and load (ETL) data into their data warehouse for more comprehensive analysis. or a later version) database.

Data Warehouse 108

Data Warehouse Analytics Testing Modeling 108

Smart Data Collective

OCTOBER 27, 2021

Snowflake provides the right balance between the cloud and data warehousing, especially when data warehouses like Teradata and Oracle are becoming too expensive for their users. It is also easy to get started with Snowflake as the typical complexity of data warehouses like Teradata and Oracle are hidden from the users. .

Interactive 125

Interactive Analytics Unstructured Data Data Warehouse 125

AWS Big Data

MAY 16, 2024

Because of this, many organizations are utilizing them as a support geography, aggregating their data to these grids to optimize both their storage and analysis. Indexed data can be quickly joined across different datasets and aggregated at different levels of precision.

Data Warehouse 119

Data Warehouse Visualization Cost-Benefit Optimization 119

AWS Big Data

NOVEMBER 8, 2024

Amazon Redshift is a fast, fully managed cloud data warehouse that makes it cost-effective to analyze your data using standard SQL and business intelligence tools. One such optimization for reducing query runtime is to precompute query results in the form of a materialized view.

Data Lake 105

Data Lake Data Warehouse Optimization Testing 105

AWS Big Data

MARCH 21, 2024

The extract, transform, and load (ETL) process has been a common pattern for moving data from an operational database to an analytics data warehouse. ELT is where the extracted data is loaded as is into the target first and then transformed. ETL and ELT pipelines can be expensive to build and complex to manage.

Data Warehouse 111

Data Warehouse Metrics Statistics Optimization 111

CIO Business Intelligence

JULY 18, 2022

We have to make sure we have the processes, the tools, and the teams aligned to make sure they’re optimized, to make sure they’re secure, and to make sure that we have the right digital footprint to coordinate all those efforts.”. We didn’t have basic things like a data warehouse. Driving change with better data reporting.

Data Warehouse 141

Data Warehouse Dashboards Reporting Manufacturing 141

AWS Big Data

JULY 8, 2024

Amazon Redshift Serverless is a fully managed, scalable cloud data warehouse that accelerates your time to insights with fast, simple, and secure analytics at scale. You can use the Amazon Redshift Streaming Ingestion capability to update your analytics data warehouse in near real time.

Data Warehouse 132

Data Warehouse IT Recreation/Entertainment Cost-Benefit 132

AWS Big Data

NOVEMBER 28, 2023

As customers become more data driven and use data as a source of competitive advantage, they want to easily run analytics on their data to better understand their core business drivers to grow sales, reduce costs, and optimize their businesses. ETL is the process data engineers use to combine data from different sources.

Data Warehouse 122

Data Warehouse Data-driven Machine Learning B2B 122

AWS Big Data

NOVEMBER 22, 2024

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that you can use to analyze your data at scale. Reusing database sessions to simplify the connection management logic in your API implementation, reducing the complexity of the code and making it more straightforward to maintain and scale.

Data Warehouse 104

Data Warehouse Recreation/Entertainment Cost-Benefit Data-driven 104

Smart Data Collective

JUNE 15, 2021

How companies gather, manage and control data has undeniably become one of the most important aspects of business success today. Fortunately, there are a few quick fixes that you can try to help optimize looker performance and improve dashboard load times. 4 – Upgrade your data warehouse.

Data Warehouse 101

Data Warehouse Dashboards Optimization Metrics 101