Analytics Data Transformation Data Warehouse Technology 
AWS Big Data
DECEMBER 21, 2023
As the volume and complexity of analytics workloads continue to grow, customers are looking for more efficient and cost-effective ways to ingest and analyse data. OpenSearch Service is used for multiple purposes, such as observability, search analytics, consolidation, cost savings, compliance, and integration.
AWS Big Data
NOVEMBER 9, 2023
It does this by helping teams handle the T in ETL (extract, transform, and load) processes. It allows users to write data transformation code, run it, and test the output, all within the framework it provides. As part of their cloud modernization initiative, they sought to migrate and modernize their legacy data platform.
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CIO Business Intelligence
FEBRUARY 16, 2023
The company’s orthodontics business, for instance, makes heavy use of image processing to the point that unstructured data is growing at a pace of roughly 20% to 25% per month. Advances in imaging technology present Straumann Group with the opportunity to provide its customers with new capabilities to offer their clients.
AWS Big Data
MARCH 16, 2023
SafetyCulture is a global technology company that puts the power of continuous improvement into everyone’s hands. Amazon Redshift is a fully managed data warehouse service that tens of thousands of customers use to manage analytics at scale. Refer to Getting started data sharing using the console for setup steps.
Cloudera
JULY 21, 2022
As creators and experts in Apache Druid, Rill understands the data store’s importance as the engine for real-time, highly interactive analytics. Cloudera Data Warehouse and Rill Data—built on Apache Hive and Druid, respectively—can be connected using the Hive-Druid Integration. Cloudera Data Warehouse).
datapine
SEPTEMBER 29, 2022
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. And indeed, low-quality data is the leading cause of failure for advanced data and technology initiatives, to the tune of $9.7
IBM Big Data Hub
OCTOBER 16, 2023
As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks. But how trustworthy is that training data? Artificial intelligence (AI) adoption is still in its early stages.
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