datapine

SEPTEMBER 29, 2022

from the business interactions), but if not available, then through confirmation techniques of an independent nature. It will indicate whether data is void of significant errors. This means there are no unintended data errors, and it corresponds to its appropriate designation (e.g., date, month, and year).

Data Quality 241

Data Quality Metrics Data-driven Management 241

AWS Big Data

JULY 25, 2024

If you want deeper control over your infrastructure for cost and latency optimization, you can choose OpenSearch Service’s managed clusters deployment option. With managed clusters, you get granular control over the instances you would like to use, indexing and data-sharding strategy, and more.

Cost-Benefit 121

Cost-Benefit Machine Learning Dashboards Management 121

AWS Big Data

JULY 18, 2024

It’s also an analytics suite that you can use to perform interactive log analytics, real-time application monitoring, security analytics and more. OpenSearch also includes capabilities to ingest and analyze data. Another optimization could involve disabling doc_values for the user_token field if it’s only intended for display purposes.

Dashboards 104

Dashboards Testing Data-driven Visualization 104

AWS Big Data

MAY 9, 2023

For workloads such as data transforms, joins, and queries, you can use G.1X With exponentially growing data sources and data lakes, customers want to run more data integration workloads, including their most demanding transforms, aggregations, joins, and queries. 1X (1 DPU) and G.2X You can enable G.4X

Data Lake 105

Data Lake Cost-Benefit Data Integration Data Transformation 105

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). Efficient batch data processing. Complex data transformations. Support for data rollup and summarization. Apache Hive.

Metrics 87

Metrics Slice and Dice Data Warehouse Dashboards 87

Cloudera

OCTOBER 8, 2024

This service supports a range of optimized AI models, enabling seamless and scalable AI inference. By leveraging the NVIDIA NeMo platform and optimized versions of open-source models like Llama 3 and Mistral, businesses can harness the latest advancements in natural language processing, computer vision, and other AI domains.

Optimization 75

Optimization Experimentation Metrics Enterprise 75

AWS Big Data

AUGUST 19, 2024

In this post, we explore how AWS Glue can serve as the data integration service to bring the data from Snowflake for your data integration strategy, enabling you to harness the power of your data ecosystem and drive meaningful outcomes across various use cases. Store the extracted and transformed data in Amazon S3.

Analytics 112

Analytics Data-driven Data Integration Data Lake 112

AWS Big Data

AUGUST 1, 2024

However, you might face significant challenges when planning for a large-scale data warehouse migration. This includes the ETL processes that capture source data, the functional refinement and creation of data products, the aggregation for business metrics, and the consumption from analytics, business intelligence (BI), and ML.

Data Warehouse 105

Data Warehouse KPI Optimization Cost-Benefit 105

bridgei2i

NOVEMBER 17, 2020

The Lean AI wave can be imagined as a 4 step process: AI use case discovery: Identify the current processes amenable to data and AI driven improvement, design the solution roadmap and proactively think through the potential failure modes of enterprise adoption.

Deep Learning 85

Deep Learning Manufacturing Data-driven Optimization 85

AWS Big Data

MARCH 9, 2023

Amazon QuickSight is a fully managed, cloud-native business intelligence (BI) service that makes it easy to connect to your data, create interactive dashboards and reports, and share these with tens of thousands of users, either within QuickSight or embedded in your application or website. SDK Feature overview The QuickSight SDK v2.0

Slice and Dice 92

Slice and Dice Dashboards Analytics Interactive 92

CIO Business Intelligence

JUNE 29, 2022

If you can’t make sense of your business data, you’re effectively flying blind. Insights hidden in your data are essential for optimizing business operations, finetuning your customer experience, and developing new products — or new lines of business, like predictive maintenance. Azure Data Factory.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

Sisense

OCTOBER 15, 2020

Let’s look at a few ways that different industries take advantage of streaming data. How industries can benefit from streaming data. Automotive: Monitoring connected, autonomous cars in real time to optimize routes to avoid traffic and for diagnosis of mechanical issues. Optimizing object storage.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

AWS Big Data

NOVEMBER 16, 2023

Data Vault 2.0 allows for the following: Agile data warehouse development Parallel data ingestion A scalable approach to handle multiple data sources even on the same entity A high level of automation Historization Full lineage support However, Data Vault 2.0

Enterprise 103

Enterprise Data Warehouse Data Lake Optimization 103

AWS Big Data

OCTOBER 11, 2023

Due to this low complexity, the solution uses AWS serverless services to ingest the data, transform it, and make it available for analytics. The serverless architecture features auto scaling, high availability, and a pay-as-you-go billing model to increase agility and optimize costs.

Visualization 115

Visualization Dashboards Data-driven Gap analysis 115

Cloudera

OCTOBER 14, 2020

Apache Spark unifies batch processing, real-time processing, stream analytics, machine learning, and interactive query in one-platform. YuniKorn is designed for Big Data app workloads, and it natively supports to run Spark/Flink/Tensorflow, etc efficiently in K8s. Background. Why choose K8s for Apache Spark. Scale & Performance.

Machine Learning 118

Machine Learning Management Big Data Optimization 118

AWS Big Data

SEPTEMBER 13, 2024

CFM data scientists then look up the data and build features that can be used in our trading models. The bulk of our data scientists are heavy users of Jupyter Notebook. After a data scientist has written the feature, CFM deploys a script to the production environment that refreshes the feature as new data comes in.

Interactive 91

Interactive Strategy Cost-Benefit Data Governance 91

AWS Big Data

AUGUST 8, 2024

Oracle GoldenGate for Oracle Database and Big Data adapters Oracle GoldenGate is a real-time data integration and replication tool used for disaster recovery, data migrations, high availability. This file defines how GoldenGate will interact with your S3 bucket. properties ): [oracle@hostname dirprm]$ cat reps3.properties

Analytics 104

Analytics Big Data Software Data Integration 104

AWS Big Data

JULY 27, 2023

DataBrew is a visual data preparation tool that enables you to clean and normalize data without writing any code. The over 200 transformations it provides are now available to be used in an AWS Glue Studio visual job. Create a DataBrew recipe Start by registering the data store for the claims file.

Visualization 94

Visualization Cost-Benefit Data Quality Publishing 94

Cloudera

JUNE 17, 2022

In the second blog of the Universal Data Distribution blog series , we explored how Cloudera DataFlow for the Public Cloud (CDF-PC) can help you implement use cases like data lakehouse and data warehouse ingest, cybersecurity, and log optimization, as well as IoT and streaming data collection.

Cost-Benefit 94

Cost-Benefit IoT Data Warehouse Manufacturing 94

Cloudera

MARCH 14, 2023

Once a draft has been created or opened, developers use the visual Designer to build their data flow logic and validate it using interactive test sessions. In the DataFlow Designer, you can create Test Sessions to turn the canvas into an interactive interface that gives you all the feedback you need to quickly iterate your flow design.

Testing 84

Testing Publishing Metadata Interactive 84

FineReport

JUNE 7, 2024

Through different types of graphs and interactive dashboards , business insights are uncovered, enabling organizations to adapt quickly to market changes and seize opportunities. Criteria for Top Data Visualization Companies Innovation and Technology Cutting-edge technology lies at the core of top data visualization companies.

Visualization 52

Visualization Predictive Analytics Dashboards Predictive Modeling 52

FineReport

APRIL 21, 2024

Limited Interactivity Even after overcoming logistical and analytical hurdles to deploy embedded dashboards, the challenges persist. Empowering client-facing analysts to drive customization without extensive backend involvement is crucial for overcoming the limitations of traditional BI tools and enhancing interactivity.

Dashboards 52

Dashboards Visualization Interactive Business Intelligence 52

AWS Big Data

MAY 16, 2023

In this series of posts, we walk you through how we use Amazon QuickSight , a serverless, fully managed, business intelligence (BI) service that enables data-driven decision making at scale. The AWS Glue Data Catalog contains the table definitions for the smart sensor data sources stored in the S3 buckets.

Dashboards 90

Dashboards Statistics Data Collection Business Intelligence 90

AWS Big Data

MARCH 13, 2024

This method uses GZIP compression to optimize storage consumption and query performance. You can also use the data transformation feature of Data Firehose to invoke a Lambda function to perform data transformation in batches. You’re now ready to query the tables using Athena.

Analytics 114

Analytics IoT Metadata Internet of Things 114

AWS Big Data

JANUARY 17, 2024

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. By identifying these changes, the query engine can optimize the query to process only the relevant data, significantly reducing the processing time and resource requirements.

Data Lake 111

Data Lake Snapshot Big Data Data-driven 111

IBM Big Data Hub

JULY 17, 2023

.” Sean Im, CEO, Samsung SDS America “In the field of generative AI and foundation models, watsonx is a platform that will enable us to meet our customers’ requirements in terms of optimization and security, while allowing them to benefit from the dynamism and innovations of the open-source community.”

Machine Learning 62

Machine Learning Data Warehouse Modeling Cost-Benefit 62

AWS Big Data

FEBRUARY 21, 2023

Solutions Architect – AWS SafeGraph is a geospatial data company that curates over 41 million global points of interest (POIs) with detailed attributes, such as brand affiliation, advanced category tagging, and open hours, as well as how people interact with those places. Their costs were climbing.

Cost-Benefit 59

Cost-Benefit Informatics Optimization Management 59

IBM Big Data Hub

OCTOBER 16, 2023

They are used in everything from robotics to tools that reason and interact with humans. It also lets you choose the right engine for the right workload at the right cost, potentially reducing your data warehouse costs by optimizing workloads. Foundation models can use language, vision and more to affect the real world.

Risk 70

Risk Modeling Management Metadata 70

Ontotext

MARCH 20, 2024

Make data-driven decisions with cutting-edge ML: Gain deeper insights from your data with the Accelerator’s cutting-edge ML capabilities. This allows your teams to make informed decisions based on real data, not just intuition. Zenia Graph’s Salesforce Accelerator makes this a reality.

Data-driven 52

Data-driven Strategy Sales Data Integration 52

Ontotext

APRIL 4, 2019

This is a knowledge that anyone can get, but it would take much longer than optimal. Milena Yankova : The professions of the future are related to understanding and processing data, transforming it into information and extracting knowledge from it. Economy.bg: The pros in this respect are indisputable.

Recreation/Entertainment 76

Recreation/Entertainment Testing Enterprise Knowledge Discovery 76

IBM Big Data Hub

JANUARY 18, 2023

A read-optimized platform that can integrate data from multiple applications emerged. In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. This adds an additional ETL step, making the data even more stale. Data lakehouse was created to solve these problems.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

Octopai

AUGUST 11, 2024

By integrating Spline into your data processing pipelines, you can gain insights into the flow of data, understand data transformations, and ensure data quality and compliance. The tool provides a detailed and interactive UI for exploring data lineage graphs, making it easier to debug and optimize data workflows.

Metadata 40

Metadata Visualization Data Quality Data Governance 40

AWS Big Data

NOVEMBER 29, 2023

dbt is an open source, SQL-first templating engine that allows you to write repeatable and extensible data transforms in Python and SQL. dbt is predominantly used by data warehouses (such as Amazon Redshift ) customers who are looking to keep their data transform logic separate from storage and engine.

Data Lake 119

Data Lake Management Metrics Data Warehouse 119

AWS Big Data

DECEMBER 21, 2023

To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse. In this post, we show how smava optimized their data platform by using Amazon Redshift Serverless and Amazon Redshift data sharing to overcome right-sizing challenges for unpredictable workloads and further improve price-performance.

Data Lake 108

Data Lake Data Warehouse Data-driven B2B 108

IBM Big Data Hub

JUNE 15, 2023

The data lakehouse architecture combines the flexibility, scalability and cost advantages of data lakes with the performance, functionality and usability of data warehouses to deliver optimal price-performance for a variety of data, analytics and AI workloads.

Data Warehouse 86

Data Warehouse Data Lake Optimization Data-driven 86

CIO Business Intelligence

AUGUST 3, 2023

It also used device data to develop Lenovo Device Intelligence, which uses AI-driven predictive analytics to help customers understand and proactively prevent and solve potential IT issues. Lenovo Device Intelligence can also help to optimize IT support costs, reduce employee downtime, and improve the user experience, the company says.

Analytics 98

Analytics Data Lake Metadata Cost-Benefit 98

Cloudera

OCTOBER 11, 2021

Modak Nabu relies on a framework of “Botworks”, a series of micro-jobs to accomplish various data transformation steps from ingestion to profiling, and indexing. Cloudera Data Engineering within CDP provides : Fully managed Spark-on-Kubernetes service that hides the complexity running production DE workloads at scale.

Data Lake 95

Data Lake Cost-Benefit Data-driven Dashboards 95