Cloudera

OCTOBER 11, 2022

Al needs machine learning (ML), ML needs data science. Data science needs analytics. And they all need lots of data. The takeaway – businesses need control over all their data in order to achieve AI at scale and digital business transformation. What type of data platform does data at scale best?

Snapshot 89

Snapshot Data Science Digital Transformation Metadata 89

datapine

MAY 2, 2023

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications. million miles.

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

AWS Big Data

DECEMBER 13, 2023

Redshift streaming ingestion provides low latency, high-throughput data ingestion, which enables customers to derive insights in seconds instead of minutes. After that, using materialized-view refresh, you can ingest hundreds of megabytes of data per second. You can create materialized views using SQL statements.

Data Warehouse 100

Data Warehouse Snapshot Data Processing Management 100

AWS Big Data

MARCH 25, 2024

In this post, we discuss why data streaming is a crucial component of generative AI applications due to its real-time nature. In-context learning LLMs are trained with point-in-time data and have no inherent ability to access fresh data at inference time. For more information, refer to Dynamic Tables.

Data Lake 91

Data Lake Unstructured Data Management Modeling 91

datapine

AUGUST 21, 2019

All else being equal, a shorter sales cycle is better, and so this graph’s ability to compare your different sales managers/representatives closing rates can show you who your top performers are. Just make sure to see the size of the deals your managers are closing, and keep track of the CLV of those customers. click to enlarge**.

Sales 235

Sales Dashboards KPI Visualization 235

AWS Big Data

APRIL 10, 2024

Within seconds of transactional data being written into supported AWS databases, zero-ETL seamlessly makes the data available in Amazon Redshift, removing the need to build and maintain complex data pipelines that perform extract, transform, and load (ETL) operations. Ongoing changes will be synced in near real time.

Data Warehouse 94

Data Warehouse Analytics Metrics Snapshot 94

datapine

JANUARY 28, 2020

From financial dashboard design and KPI dashboard design to analytical design and beyond, these best dashboard design examples will not only demonstrate the power of modern data analytics done the right way, but they will also inspire your own plans and ideas. 3) Management KPI Dashboard. 9) IT Issue Management Dashboard.

Dashboards 199

Dashboards KPI Cost-Benefit Metrics 199

datapine

JANUARY 7, 2020

Without big data analytics, companies are blind and deaf, wandering out onto the Web like deer on a freeway. Companies that use data analytics are five times more likely to make faster decisions, based on a survey conducted by Bain & Company. Management KPI Dashboard. click to enlarge**.

Dashboards 149

Dashboards Reporting KPI Metrics 149

AWS Big Data

NOVEMBER 6, 2023

Amazon Managed Workflow for Apache Airflow (Amazon MWAA) is a managed service that allows you to use a familiar Apache Airflow environment with improved scalability, availability, and security to enhance and scale your business workflows without the operational burden of managing the underlying infrastructure.

Metrics 104

Metrics Metadata Snapshot Management 104

CIO Business Intelligence

JUNE 1, 2022

The tech giant’s mid-range storage product has also been equipped with new VMware integrations, including improved vVols latency and performance, simplified disaster recovery with vVols replication, as well as VM-level snapshots and fast clones. Intel® Technologies Move Analytics Forward. Just starting out with analytics?

Deep Learning 100

Deep Learning Snapshot Optimization Data Quality 100

AWS Big Data

SEPTEMBER 14, 2023

Amazon Managed Service for Apache Flink , formerly known as Amazon Kinesis Data Analytics, is the AWS service offering fully managed Apache Flink. Buffer debloating and unaligned checkpoints can be enabled on Amazon Managed Service for Apache Flink version 1.15. The application is coordinated by a job manager.

Optimization 83

Optimization Snapshot Management Broadcasting 83

CIO Business Intelligence

MAY 16, 2022

“The nature of the old centralized data center basically imputed a round trip tax that stopped certain things from being possible at the edge.”. We need to know how much data there is, where it’s going, how long we need to keep it, and who can see it — this is a data conversation and a data management challenge.”.

IoT 94

IoT Data Warehouse Internet of Things Machine Learning 94

AWS Big Data

APRIL 3, 2024

By analyzing the historical report snapshot, you can identify areas for improvement, implement changes, and measure the effectiveness of those changes. In our example, we have configured a ruleset against a table containing patient data within a healthcare synthetic dataset generated using Synthea.

Data Quality 90

Data Quality Visualization Metadata Metrics 90

datapine

MARCH 15, 2019

At present, 53% of businesses are in the process of adopting big data analytics as part of their core business strategy – and it’s no coincidence. To win on today’s information-rich digital battlefield, turning insight into action is a must, and online data analysis tools are the very vessel for doing so. click to enlarge**.

Technology 143

Technology Cost-Benefit KPI Dashboards 143

AWS Big Data

OCTOBER 11, 2023

Organizations with legacy, on-premises, near-real-time analytics solutions typically rely on self-managed relational databases as their data store for analytics workloads. Near-real-time streaming analytics captures the value of operational data and metrics to provide new insights to create business opportunities.

Management 106

Management Metadata Analytics Dashboards 106

Smart Data Collective

FEBRUARY 17, 2021

In 2017, the global market for healthcare analytics was valued at $16.9 While there are a number of benefits of using data analytics in healthcare, there are also going to be some challenges. Now that you have a snapshot of the differences between EMR, EHR, and PHR, let’s talk about how to create a doctor-friendly EHR system.

Big Data 71

Big Data Software Marketing Snapshot 71

datapine

NOVEMBER 5, 2019

And we’re not just talking about marketing, but all your business’ bits and pieces should embrace the power of modern data analysis and utilize a professional dashboard creator that will enhance your data management processes. Still unsure? Intelligent reporting. Predicting the future. click to enlarge**. Return on Equity.

Dashboards 220

Dashboards Cost-Benefit Sales Metrics 220

AWS Big Data

FEBRUARY 9, 2023

Customers across industries seek meaningful insights from the data captured in their Customer Relationship Management (CRM) systems. To achieve this, they combine their CRM data with a wealth of information already available in their data warehouse, enterprise systems, or other software as a service (SaaS) applications.

Data Warehouse 78

Data Warehouse Data-driven Snapshot Testing 78

AWS Big Data

JUNE 13, 2023

This post presents a reference architecture for real-time queries and decision-making on AWS using Amazon Kinesis Data Analytics for Apache Flink. In addition, we explain why the Klarna Decision Tooling team selected Kinesis Data Analytics for Apache Flink for their first real-time decision query service.

Data Analytics 52

Data Analytics Analytics Risk Snapshot 52

AWS Big Data

MAY 30, 2023

We also demonstrate how to ingest streaming data to a transactional data lake using Apache Hudi to achieve incremental updates with ACID transactions. Solution overview For our example use case, streaming data is coming through Amazon Kinesis Data Streams , and reference data is managed in MySQL.

Data Lake 82

Data Lake Data Analytics Analytics Data Processing 82

DataKitchen

MAY 10, 2021

That’s a fair point, and it places emphasis on what is most important – what best practices should data teams employ to apply observability to data analytics. We see data observability as a component of DataOps. In our definition of data observability, we put the focus on the important goal of eliminating data errors.

Testing 214

Testing Manufacturing Data Quality Statistics 214

datapine

MAY 20, 2020

To ensure that your customer-facing communications and efforts are constantly improving and evolving, investing in customer relationship management (CRM) is vital. At its core, CRM dashboard software is a smart vessel for data analytics and business intelligence – digital innovation that hosts a wealth of insightful CRM reports.

Dashboards 265

Dashboards Reporting KPI Visualization 265

AWS Big Data

OCTOBER 20, 2023

Amazon MSK Connect is a feature of Amazon Managed Streaming for Apache Kafka (Amazon MSK) that offers a fully managed Apache Kafka Connect environment on AWS. You can extend this architecture to support other deployment topologies using appropriate AWS Identity and Access Management (IAM) permissions and connectivity options.

Data Processing 88

Data Processing Snapshot Data Warehouse Management 88

AWS Big Data

NOVEMBER 1, 2023

Amazon Redshift is a fully managed, petabyte scale cloud data warehouse that enables you to analyze large datasets using standard SQL. Data warehouse workloads are increasingly being used with mission-critical analytics applications that require the highest levels of resilience and availability.

Data Warehouse 96

Data Warehouse Snapshot Testing Management 96

AWS Big Data

JANUARY 24, 2023

Solution overview This post shows how to create a backup of the Lake Formation permissions and AWS Glue Data Catalog from one Region to another in the same account. The solution doesn’t create or modify AWS Identity and Access Management (IAM) roles, which are available in all Regions. Migrate AWS Glue databases and tables.

Data Architecture 68

Data Architecture Metadata Data Lake Snapshot 68

CIO Business Intelligence

JANUARY 20, 2023

Rather, BI offers a way for people to examine data to understand trends and derive insights by streamlining the effort needed to search for, merge, and query the data necessary to make sound business decisions. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

AWS Big Data

JUNE 9, 2023

Across all use cases, permissions, data governance, and data protection are table stakes, and customers require a high level of control over data security, encryption, and lifecycle management.

Data Lake 115

Data Lake Metadata Optimization Statistics 115

datapine

JANUARY 21, 2020

The main goal of BI reports is to deliver comprehensive data that can be easily accessed, interpreted, and provide actionable insights. Managers, employees, and important stakeholders often can be stuck by waiting for a comprehensive BI report from the IT department or SQL developers. Let’s see what the crucial benefits are: 1.

Business Intelligence 259

Business Intelligence Reporting Cost-Benefit Dashboards 259

AWS Big Data

JULY 20, 2023

Moreover, running advanced analytics and ML on disparate data sources proved challenging. To overcome these issues, Orca decided to build a data lake. By decoupling storage and compute, data lakes promote cost-effective storage and processing of big data.

Data Lake 89

Data Lake Analytics Snapshot Optimization 89

AWS Big Data

MARCH 20, 2023

In this post, we share how Poshmark improved CX and accelerated revenue growth by using a real-time analytics solution. High-level challenge: The need for real-time analytics Previous efforts at Poshmark for improving CX through analytics were based on batch processing of analytics data and using it on a daily basis to improve CX.

Analytics 52

Analytics Slice and Dice Data Processing Data Lake 52

AWS Big Data

JUNE 12, 2023

Organizations across the world are increasingly relying on streaming data, and there is a growing need for real-time data analytics, considering the growing velocity and volume of data being collected. SecretArn Secrets Manager secret ARN for Amazon MSK SASL/SCRAM authentication. Refer to the first stack’s output.

Management 81

Management Metadata Testing Internet of Things 81

AWS Big Data

OCTOBER 18, 2023

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. Modern analytics is much wider than SQL-based data warehousing. Choose Manage IAM roles and choose Create IAM role.

Analytics 98

Analytics Data Warehouse Testing Dashboards 98

AWS Big Data

MARCH 28, 2024

Amazon EMR stands as a dynamic force in the cloud, delivering unmatched capabilities for organizations seeking robust big data solutions. Its seamless integration, powerful features, and adaptability make it an indispensable tool for navigating the complexities of data analytics and ML on AWS.

Optimization 81

Optimization IT Big Data Data Processing 81

datapine

APRIL 3, 2020

A call center dashboard is an intuitive visual reporting tool that displays a range of relevant call center metrics and KPIs that allow customer service managers and teams to monitor and optimize performance and spot emerging trends in a central location. What Is A Call Center Dashboard? Primary KPIs. Customer Satisfaction.

Dashboards 201

Dashboards Data-driven Reporting Analytics 201

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. I am head of Products here, which comprises of R&D, Product Management and Global Customer support.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

AWS Big Data

JUNE 28, 2023

A common pattern for moving data from an operational database to an analytics data warehouse is via extract, transform, and load (ETL), a process of combining data from multiple sources into a large, central repository (data warehouse). ETL pipelines can be expensive to build and complex to manage.

Data Warehouse 87

Data Warehouse Analytics Metrics Dashboards 87

datapine

AUGUST 12, 2020

In your daily business, many different aspects and ‘activities’ are constantly changing – sales trends and volume, marketing performance metrics, warehouse operational shifts, or inventory management changes. This first example focuses on one of the most important and data-driven department of any company: finance.

Reporting 297

Reporting Dashboards Visualization Cost-Benefit 297