AWS Big Data

MARCH 25, 2024

Both engines provide native ingestion support from Kinesis Data Streams and Amazon MSK via a separate streaming pipeline to a data lake or data warehouse for analysis. He works backward from customer’s use cases and designs data solutions to solve their business problems.

Data Lake 88

Data Lake Unstructured Data Management Modeling 88

IBM Big Data Hub

APRIL 24, 2023

Data is reported from one central repository, enabling management to draw more meaningful business insights and make faster, better decisions. By running reports on historical data, a data warehouse can clarify what systems and processes are working and what methods need improvement.

Data Warehouse 98

Data Warehouse Data Lake Cost-Benefit Enterprise 98

AWS Big Data

MARCH 27, 2024

You can send data from your streaming source to this resource for ingesting the data into a Redshift data warehouse. This will be your online transaction processing (OLTP) data store for transactional data. With continuous innovations added to Amazon Redshift, it is now more than just a data warehouse.

Data Analytics 89

Data Analytics Analytics Data Warehouse Data Lake 89

AWS Big Data

NOVEMBER 13, 2023

Amazon Redshift is a fully managed data warehousing service that offers both provisioned and serverless options, making it more efficient to run and scale analytics without having to manage your data warehouse. These upstream data sources constitute the data producer components.

Data Warehouse 90

Data Warehouse Data Lake Analytics Data Science 90

Ontotext

MARCH 8, 2023

Specifically, the increasing amount of data being generated and collected, and the need to make sense of it, and its use in artificial intelligence and machine learning, which can benefit from the structured data and context provided by knowledge graphs. We get this question regularly.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

CIO Business Intelligence

APRIL 4, 2023

AI working on top of a data lakehouse, can help to quickly correlate passenger and security data, enabling real-time threat analysis and advanced threat detection. In order to move AI forward, we need to first build and fortify the foundational layer: data architecture.

Data Architecture 52

Data Architecture Data Lake Data Warehouse Cost-Benefit 52

FineReport

APRIL 11, 2023

Every user can now create interactive reports and utilize data visualization to disseminate knowledge to both internal and external stakeholders. In this article, we will explore what BI Dashboard is, its key features, benefits and limitations, and best practices and examples.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 40

AWS Big Data

FEBRUARY 20, 2024

Companies commonly maintain entire teams to facilitate the flow of data from ingestion to analysis. As online transactions have gained popularity with consumers, the volume and velocity of data ingestion has led to challenges in data processing. The consequence of delays in your organization’s analytics workflow can be costly.

Visualization 97

Visualization Cost-Benefit Optimization B2B 97

AWS Big Data

MARCH 26, 2024

The following diagram illustrates the different pipelines to ingest data from various source systems using AWS services. Data storage Structured, semi-structured, or unstructured batch data is stored in an object storage because these are cost-efficient and durable.

Data Strategy 67

Data Strategy Strategy Data Warehouse Prescriptive Analytics 67

Alation

APRIL 6, 2023

Data governance is traditionally applied to structured data assets that are most often found in databases and information systems. There are millions of advanced spreadsheet users, and they spend more than a quarter of their time repeating the same or similar steps every time a spreadsheet or data source is updated or refreshed.

Data Governance 52

Data Governance Metadata Cost-Benefit Structured Data 52

AWS Big Data

FEBRUARY 22, 2023

In this post, we show how Ruparupa implemented an incrementally updated data lake to get insights into their business using Amazon Simple Storage Service (Amazon S3), AWS Glue , Apache Hudi , and Amazon QuickSight. We also discuss the benefits Ruparupa gained after the implementation. Let’s look at each main component in more detail.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

Corinium

APRIL 25, 2019

Most enterprises in the 21st century regard data as an incredibly valuable asset – Insurance is no exception - to know your customers better, know your market better, operate more efficiently and other business benefits. It definitely depends on the type of data, no one method is always better than the other. That’s the reward.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Sisense

JULY 22, 2020

Traditionally all this data was stored on-premises, in servers, using databases that many of us will be familiar with, such as SAP, Microsoft Excel , Oracle , Microsoft SQL Server , IBM DB2 , PostgreSQL , MySQL , Teradata. However, cloud computing has grown rapidly because it offers more flexible, agile, and cost-effective storage solutions.

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

Sisense

JUNE 30, 2020

Using predictive analytics, organizations can plan for forthcoming scenarios, anticipate new trends, and prepare for them most efficiently and cost-effectively. Predicting forthcoming trends sets the stage for optimizing the benefits your organization takes from them. Using visualizations to make smarter decisions.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

CDW Research Hub

OCTOBER 12, 2021

But most legacy data architectures do not have a unified data model, and they are hard-wired toward specific BI tools that do not support self-service analytics. Unreliable Data as a Service (DaaS) implementations. Achieves an 80% reduction in integration costs in terms of resources and technology. How does Denodo work?

Data Warehouse 52

Data Warehouse Big Data Data Architecture Cost-Benefit 52

Sisense

MAY 11, 2021

We’re going to nerd out for a minute and dig into the evolving architecture of Sisense to illustrate some elements of the data modeling process: Historically, the data modeling process that Sisense recommended was to structure data mainly to support the BI and analytics capabilities/users.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

AWS Big Data

FEBRUARY 21, 2023

Toucan natively integrates with Redshift Serverless, which enables you to deploy a scalable data stack in minutes without the need to manage any infrastructure component. Amazon Redshift is a fully managed cloud data warehouse service that enables you to analyze large amounts of structured and semi-structured data.

Visualization 52

Visualization Dashboards Data Warehouse Cost-Benefit 52

AWS Big Data

OCTOBER 18, 2023

Apache Hive is a distributed, fault-tolerant data warehouse system that enables analytics at a massive scale. Spark SQL is an Apache Spark module for structured data processing. or later installed.

Big Data 79

Big Data Data Processing Interactive Testing 79

Cloudera

JANUARY 11, 2018

It is not the heart-racing, bleeding-edge use case that you hear about in WIRED magazine but a foundational and required step in getting to almost any customer insights solution; bringing data together. RocketROI partnered with Cloudera to sharpen marketing campaigns by improving click-through rates at a dramatically lower cost-per-click.

Strategy 40

Strategy Data Warehouse Cost-Benefit Marketing 40

AWS Big Data

JUNE 21, 2023

In traditional databases, we would model such applications using a normalized data model (entity-relation diagram). A key pillar of AWS’s modern data strategy is the use of purpose-built data stores for specific use cases to achieve performance, cost, and scale. These types of queries are suited for a data warehouse.

Data Warehouse 78

Data Warehouse Data Lake OLAP Cost-Benefit 78

Sisense

JUNE 5, 2019

While they can take a wide array of forms, the most important difference between NoSQL and RDBMSes is that while relational databases rigidly define how all the data contained within must be arranged, NoSQL databases can be schema agnostic. It’s no wonder, then, that NoSQL databases are seeing a lot of use in Big Data and real-time web apps.

Big Data 75

Big Data Cost-Benefit IoT Structured Data 75

Cloudera

OCTOBER 3, 2018

In the data center and in the cloud, there’s a proliferation of players, often building on technology we’ve created or contributed to, battling for share. The tremendous growth in both unstructured and structured data overwhelms traditional data warehouses. We have each innovated separately in those areas.

Uncertainty 75

Uncertainty IoT Risk Reporting 75

AWS Big Data

DECEMBER 21, 2023

The data volume is in double-digit TBs with steady growth as business and data sources evolve. smava’s Data Platform team faced the challenge to deliver data to stakeholders with different SLAs, while maintaining the flexibility to scale up and down while staying cost-efficient.

Data Lake 87

Data Lake Data Warehouse B2B Data-driven 87

Cloudera

APRIL 1, 2024

The following are key attributes of our platform that set Cloudera apart: Unlock the Value of Data While Accelerating Analytics and AI The data lakehouse revolutionizes the ability to unlock the power of data. Deliver Trusted Data for Trusted AI Trusted AI needs trusted data.

Unstructured Data 100

Unstructured Data Cost-Benefit Metadata Machine Learning 100