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.
Cloudera
JUNE 7, 2023
To provide guidance to federal agencies, and in many ways lead the way for the private sector, the Cybersecurity and Infrastructure Security Agency (CISA) issued the initial Zero Trust Maturity Model (ZTMM) in 2021 with the intent to give agencies a conceptual roadmap to onboard to a shared zero-trust maturity model by 2024.
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AWS Big Data
SEPTEMBER 13, 2023
A modern data architecture is an evolutionary architecture pattern designed to integrate a data lake, data warehouse, and purpose-built stores with a unified governance model. The company wanted the ability to continue processing operational data in the secondary Region in the rare event of primary Region failure.
IBM Big Data Hub
APRIL 25, 2023
Benefits of optimizing across your data warehouse and data lakehouse Optimizing workloads across a data warehouse and a data lakehouse by sharing data using open formats can reduce costs and complexity. Returning to the analogy, there have been significant changes to how we power cars.
CIO Business Intelligence
APRIL 6, 2022
For decades organizations chased the Holy Grail of a centralized data warehouse/lake strategy to support business intelligence and advanced analytics. billion connected Internet of Things (IoT) devices by 2025, generating almost 80 billion zettabytes of data at the edge. Modern enterprises have to adopt a dual strategy.”.
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.
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.
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