CIO Business Intelligence

FEBRUARY 16, 2023

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

IBM Big Data Hub

APRIL 27, 2022

The data fabric architectural approach can simplify data access in an organization and facilitate self-service data consumption at scale. Read: The first capability of a data fabric is a semantic knowledge data catalog, but what are the other 5 core capabilities of a data fabric? 11 May 2021. .

Management 79

Management Metadata Data Architecture Data Lake 79

Andrew White

OCTOBER 22, 2021

Lakehouse (data warehouse and data lake working together) 8. Data Literacy, training, coordination, collaboration 8. Data Management Infrastructure/Data Fabric 5. Data Integration tactics 4. Digital Business connections to D&A/decision modeling 10. Business Innovation with D&A 6.

IT 52

IT Data Lake Data Science Strategy 52

AWS Big Data

AUGUST 22, 2023

This post proposes an automated solution by using AWS Glue for automating the PostgreSQL data archiving and restoration process, thereby streamlining the entire procedure. He joined AWS Professional Services organization in 2021 and helps customers build cloud-native applications on AWS cloud.

Data Processing 98

Data Processing Testing Data Lake Data Integration 98

Ontotext

APRIL 10, 2024

The data ecosystem today is crowded with dazzling buzzwords, all fighting for investment dollars. A survey in 2021 found that a data company was being funded every 45 minutes. Data ecosystems have become jungles and in spite of all the technology, data teams are struggling to create a modern data experience.

Metadata 52

Metadata Data Lake Data Warehouse Data Quality 52

AWS Big Data

FEBRUARY 1, 2023

With data volumes exhibiting a double-digit percentage growth rate year on year and the COVID pandemic disrupting global logistics in 2021, it became more critical to scale and generate near-real-time data. You can visually create, run, and monitor extract, transform, and load (ETL) pipelines to load data into your data lakes.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

Ontotext

MARCH 8, 2023

Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. As such, most large financial organizations have moved their data to a data lake or a data warehouse to understand and manage financial risk in one place.

Enterprise 52

Enterprise Knowledge Discovery Risk Machine Learning 52

CIO Business Intelligence

MAY 24, 2022

Australian research and advisory firm Adapt identifies an organisation’s ability to execute a data-driven strategy as one of 12 core competencies , identified from 30,000 conversations spanning three years with leading IT and businesses. analyse the data, using business intelligence, visualisation or data science tools.

Data-driven 98

Data-driven Data Lake Data Warehouse Machine Learning 98

Jet Global

JUNE 13, 2022

According to Gartner’s 2021 Core Financial Magic Quadrant , over 50% of the ERP market is expected to be cloud-based by 2024. When migrating to the cloud, there are a variety of different approaches you can take to maintain your data strategy. It is the fastest growing ERP on the market and can be run on premises or on the cloud.

Reporting 52

Reporting Data Lake Sales Operational Reporting 52

CIO Business Intelligence

NOVEMBER 12, 2024

Complicating the issue is the fact that a majority of data (80% to 90%, according to multiple analyst estimates) is unstructured. 3 Modern DBAs must now navigate a landscape where data resides across increasingly diverse environments, including relational databases, NoSQL, and data lakes.

Statistics 52

Statistics Unstructured Data Cost-Benefit Data Lake 52