AWS Big Data

JUNE 29, 2023

Configure streaming data In the streaming domain, we’re often tasked with exploring, transforming, and enriching data coming from Internet of Things (IoT) sensors. To generate the real-time sensor data, we employ the AWS IoT Device Simulator. Navigate to the AWS IoT Core console. Choose Next.

Data Analytics 104

Data Analytics Analytics IoT Data Lake 104

AWS Big Data

AUGUST 6, 2024

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it straightforward and cost-effective to analyze your data. This empowers data analysts and developers to incorporate ML into their data warehouse workflows with streamlined processes driven by familiar SQL commands.

Data Warehouse 104

Data Warehouse Data-driven Modeling Internet of Things 104

IBM Big Data Hub

SEPTEMBER 11, 2023

Forrester’s 2022 Total Economic Impact Report for Data Management highlights the impact Db2 and the IBM data management portfolio is having for customers: Return on investment (ROI) of 241% and payback <6 months. Db2 database SaaS is a fully managed service for a high – performance, transactional workload.

Machine Learning 85

Machine Learning Cost-Benefit IoT Data Warehouse 85

Sisense

MAY 11, 2021

In determining how we wanted to merge these data stacks and how we wanted to model our data, we also revisited our data strategy to consider what we as a data team were striving to achieve within the business. The right data model + artificial intelligence = augmented analytics. Dig into AI.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

Jet Global

JUNE 5, 2019

Toiling Away in the Data Mines. If data is the fuel driving opportunities for optimization, data mining is the engine—converting that raw fuel into forward motion for your business. Store and manage: Next, businesses store and manage the data in a multidimensional database system, such as OLAP or tabular cubes.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

Sanjeev Mohan

FEBRUARY 28, 2018

I returned today from a two week trip to Australia that included client meetings and roundtable presentations in five cities – Brisbane, Adelaide, Melbourne, Canberra and Sydney. However, most data privacy discussions veered towards the EU GDPR ([link] which is now less than 100 days away from enforcement (May 25, 2018).

Management 52

Management Internet of Things Data Lake IoT 52

Cloudera

MAY 18, 2021

Dynamically invoking compute resources based on parameters such as query concurrency (for Data Warehousing using cases), fluctuations in ingested IoT volumes (streaming use cases) and releasing them automatically as usage winds down. Experience configuration / use case deployment: At the data lifecycle experience level (e.g.,

Cost-Benefit 86

Cost-Benefit Data-driven Machine Learning Data Warehouse 86

Sisense

MARCH 14, 2021

To best understand how to do this, let’s dig into the challenges of big data and look at a wave of emerging issues. For starters, the rise of the Internet of Things (IoT) has created immense volumes of new data to be analyzed. displaying BI insights for human users).

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

Cloudera

MAY 15, 2019

He is a successful architect of healthcare data warehouses, clinical and business intelligence tools, big data ecosystems, and a health information exchange. The Enterprise Data Cloud – A Healthcare Perspective. The analytics and data platform is powering different data needs, use cases, and growth.

Enterprise 50

Enterprise Data Lake Data mining IoT 50

AWS Big Data

NOVEMBER 14, 2023

However, in many organizations, data is typically spread across a number of different systems such as software as a service (SaaS) applications, operational databases, and data warehouses. Such data silos make it difficult to get unified views of the data in an organization and act in real time to derive the most value.

IoT 59

IoT Data-driven Data Lake Data Strategy 59

Cloudera

JUNE 7, 2021

For customers, this opens up massive new opportunities within the Cloudera stack to incorporate existing data footprints with streaming sources. We believe this new capability will unlock net new capabilities for use cases in IoT, Finance, Manufacturing and more. Unlocking new use cases and architectures.

Analytics 65

Analytics Manufacturing Measurement IoT 65

Cloudera

AUGUST 30, 2018

Complicating matters is the increasing focus on data protection and the far-reaching implications of IoT (e.g. How do I get to the next level in the data-driven journey fast enough? How do I meet a growing demand for self-serve BI, while not exploding my data warehouse budgets? Tough decisions. Complex scenarios.

Enterprise 40

Enterprise Data-driven Digital Transformation Machine Learning 40

Alation

FEBRUARY 13, 2020

You spoke on cataloging the data lake using Alation for distributed analytics innovation at Munich Re. What are some of the major insights you presented at the talk. Andreas Kohlmaier : A data catalog is one of the key things you have to get right when implementing a data lake because data lakes can quickly become very big.

Data-driven 52

Data-driven Data Lake Enterprise Analytics 52

FineReport

APRIL 11, 2023

Free Download of FineReport What is Business Intelligence Dashboard (BI Dashboard)？ A business intelligence dashboard, also known as a BI dashboard, is a tool that presents important business metrics and data points in a visual and analytical format on a single screen.

Dashboards 40

Dashboards Business Intelligence Metrics Cost-Benefit 40

Cloudera

SEPTEMBER 12, 2018

The bank brought together 27 billion data points and uses AI to understand the next-best conversation 21 million times each weekday. The bank coordinates all interactions via its branch network and Australian-based contact centers and presents it back through digital channels, ATMs, email and direct mail.

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

CIO Business Intelligence

MAY 24, 2022

It also revealed that only 37 percent of organisational data being stored in cloud data warehouses, and 35 percent still in on-premises data warehouses. However, more than 99 percent of respondents said they would migrate data to the cloud over the next two years. zettabytes of data.

Data-driven 98

Data-driven Data Lake Data Warehouse Machine Learning 98

Jet Global

MAY 9, 2024

The key components of a data pipeline are typically: Data Sources : The origin of the data, such as a relational database , data warehouse, data lake , file, API, or other data store. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52