AWS Big Data

DECEMBER 21, 2023

To bring their customers the best deals and user experience, smava follows the modern data architecture principles with a data lake as a scalable, durable data store and purpose-built data stores for analytical processing and data consumption.

Data Lake 115

Data Lake Data Warehouse Data-driven B2B 115

erwin

JANUARY 11, 2019

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on. And there’s control of that landscape to facilitate insight and collaboration and limit risk.

Data Governance 40

Data Governance Risk Metadata Management 40

AWS Big Data

AUGUST 1, 2024

However, you might face significant challenges when planning for a large-scale data warehouse migration. Effective planning, thorough risk assessment, and a well-designed migration strategy are crucial to mitigating these challenges and implementing a successful transition to the new data warehouse environment on Amazon Redshift.

Data Warehouse 115

Data Warehouse KPI Optimization Cost-Benefit 115

IBM Big Data Hub

MARCH 14, 2024

For existing IBM on-premises database customers, transitioning to AWS is seamless, offering risk-free, like-for-like upgrades. Integrate seamlessly with watsonx.data SaaS and other IBM and AWS services like IBM data fabric, Amazon S3, Amazon EMR, AWS Glue and more to scale analytics and AI workloads across the enterprise. Existing

Cost-Benefit 75

Cost-Benefit Metadata Optimization Management 75

Alation

MARCH 22, 2022

So, how can you quickly take advantage of the DataOps opportunity while avoiding the risk and costs of DIY? This produces end-to-end lineage so business and technology users alike can understand the state of a data lake and/or lake house. They can better understand data transformations, checks, and normalization.

Metadata 52

Metadata Cost-Benefit Data Quality Data Lake 52

DataKitchen

DECEMBER 9, 2022

Observability in DataOps refers to the ability to monitor and understand the performance and behavior of data-related systems and processes, and to use that information to improve the quality and speed of data-driven decision making. The data scientists and IT professionals were amazed, and they couldn’t believe their eyes.

Machine Learning 130

Machine Learning Data-driven Optimization Data Analytics 130

CIO Business Intelligence

AUGUST 7, 2024

This project used the Machine First Delivery Model (a digital transformation framework designed by TCS) and advanced AI/ML technologies to introduce bots and intelligent automation workflows that mimic human logic into the company’s security operations center (SOC). Coleman says it plans to implement this system at all of its data centers.

IT 119

IT Insurance Cost-Benefit Testing 119

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

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 Visualization 52

Jet Global

OCTOBER 1, 2024

Its decoupled architecture—where storage and compute resources are separate—ensures that Trino can easily scale with your cloud infrastructure without any risk of data loss. Trino allows users to run ad hoc queries across massive datasets, making real-time decision-making a reality without needing extensive data transformations.

Dashboards 52

Dashboards Data Lake Reporting Cost-Benefit 52

AWS Big Data

APRIL 28, 2025

Many organizations turn to data lakes for the flexibility and scale needed to manage large volumes of structured and unstructured data. Recently, NI embarked on a journey to transition their legacy data lake from Apache Hive to Apache Iceberg. NIs leading brands, Top10.com

Data Lake 74

Data Lake Metadata Cost-Benefit Snapshot 74