AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 87

Enterprise Data Warehouse Data Lake Optimization 87

CIO Business Intelligence

AUGUST 3, 2023

When global technology company Lenovo started utilizing data analytics, they helped identify a new market niche for its gaming laptops, and powered remote diagnostics so their customers got the most from their servers and other devices. Each of the acquired companies had multiple data sets with different primary keys, says Hepworth. “We

Analytics 90

Analytics Data Lake Metadata Cost-Benefit 90

Jet Global

FEBRUARY 23, 2024

This field guide to data mapping will explore how data mapping connects volumes of data for enhanced decision-making. Why Data Mapping is Important Data mapping is a critical element of any data management initiative, such as data integration, data migration, data transformation, data warehousing, or automation.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Alation

JANUARY 17, 2023

The modern data stack is a combination of various software tools used to collect, process, and store data on a well-integrated cloud-based data platform. It is known to have benefits in handling data due to its robustness, speed, and scalability. A typical modern data stack consists of the following: A data warehouse.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 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

IBM Big Data Hub

JANUARY 18, 2023

They defined it as : “ A data lakehouse is a new, open data management architecture that combines the flexibility, cost-efficiency, and scale of data lakes with the data management and ACID transactions of data warehouses, enabling business intelligence (BI) and machine learning (ML) on all data. ”.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

IBM Big Data Hub

JULY 5, 2023

It gained rapid popularity given its support for data transformations, streaming and SQL. But it never co-existed amicably within existing data lake environments. Fast forward almost 15 years and reality has clearly set in on the trade-offs and compromises this technology entailed.

Data Lake 61

Data Lake Metadata Cost-Benefit Data Warehouse 61

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. They are used in everything from robotics to tools that reason and interact with humans. But how trustworthy is that training data?

Risk 72

Risk Modeling Management Metadata 72

datapine

SEPTEMBER 29, 2022

Today most of a company’s operations and strategic decisions heavily rely on data, so the importance of quality is even higher. And indeed, low-quality data is the leading cause of failure for advanced data and technology initiatives, to the tune of $9.7 It will indicate whether data is void of significant errors.

Data Quality 241

Data Quality Metrics Data-driven Management 241

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. Note: -Your query environment must have the Hive Client tool installed and a connection to your Hive metastore or AWS Glue Data Catalog.

Big Data 83

Big Data Data Processing Interactive Testing 83

Jet Global

APRIL 24, 2024

This approach allows you and your customers to harness the full potential of your data, transforming it into interactive, AI-driven conversations that can significantly enhance user engagement and insight discovery. Forget the one-size-fits-all approach. Chatflows are the key to unlocking the true potential of AI.

Business Intelligence 52

Business Intelligence Dashboards Software Reporting 52

IBM Big Data Hub

JULY 17, 2023

While they require task-specific labeled data for fine tuning, they also offer clients the best cost performance trade-off for non-generative use cases. offers a Prompt Lab, where users can interact with different prompts using prompt engineering on generative AI models for both zero-shot prompting and few-shot prompting.

Machine Learning 63

Machine Learning Data Warehouse Modeling Cost-Benefit 63

Alation

OCTOBER 27, 2022

Few actors in the modern data stack have inspired the enthusiasm and fervent support as dbt. This data transformation tool enables data analysts and engineers to transform, test and document data in the cloud data warehouse. Jason: What’s the value of using dbt with the data catalog ?

Metrics 52

Metrics Dashboards Sales Reporting 52

Jet Global

AUGUST 24, 2023

This gradual transition minimizes disruption to ongoing financial processes and provides flexibility in adapting to cloud technology at a manageable pace. Simplify Data Integration: Angles for Oracle offers data transformation and cleansing features that allow finance teams to clean, standardize, and format data as needed.

Finance 52

Finance Reporting Data Integration Risk 52

Jet Global

MAY 1, 2023

This is in contrast to traditional BI, which extracts insight from data outside of the app. BI is a set of independent systems (technologies, processes, people, etc.) that gathers data from many sources. These tools prep that data for analysis and then provide reporting on it from a central viewpoint.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

AWS Big Data

JUNE 29, 2023

With notebooks, you get a simple interactive development experience combined with the advanced capabilities provided by Apache Flink. Kinesis Data Analytics Studio uses Apache Zeppelin as the notebook, and uses Apache Flink as the stream processing engine. View the stream data. Transform and enrich the data.

Data Analytics 76

Data Analytics Analytics IoT Data Lake 76