CIO Business Intelligence

JUNE 23, 2022

These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. In recent years, the term “data lakehouse” was coined to describe this architectural pattern of tabular analytics over data in the data lake.

Data Lake 90

Data Lake Data Warehouse Machine Learning Cost-Benefit 90

Cloudera

JANUARY 19, 2024

It can help you to create, edit, optimize, fix, and succinctly summarize queries using natural language. This is a real game-changer for data analysts on all levels and will make SQL development faster, easier, and less error-prone. The optimize and the fix functionality do not need user input.

Data Warehouse 72

Data Warehouse Data Processing Optimization Modeling 72

AWS Big Data

MARCH 26, 2024

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. In 2022, AWS commissioned a study conducted by the American Productivity and Quality Center (APQC) to quantify the Business Value of Customer 360.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

CIO Business Intelligence

NOVEMBER 22, 2022

The next step in every organization’s data strategy, Guan says, should be investing in and leveraging artificial intelligence and machine learning to unlock more value out of their data. The fabric, especially at the active metadata level, is important, Saibene notes.

Data Strategy 145

Data Strategy Strategy Enterprise Consulting 145

Cloudera

SEPTEMBER 9, 2022

This is the promise of the modern data lakehouse architecture. analyst Sumit Pal, in “Exploring Lakehouse Architecture and Use Cases,” published January 11, 2022: “Data lakehouses integrate and unify the capabilities of data warehouses and data lakes, aiming to support AI, BI, ML, and data engineering on a single platform.”

Metadata 100

Metadata Machine Learning Unstructured Data Data Lake 100

AWS Big Data

MARCH 2, 2023

Apache Iceberg is an open table format for very large analytic datasets, which captures metadata information on the state of datasets as they evolve and change over time. Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time travel, and rollback.

Data Lake 120

Data Lake Data Processing Metadata Snapshot 120

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale.

Data Lake 115

Data Lake Metadata Optimization Statistics 115

AWS Big Data

NOVEMBER 29, 2023

dbt is an open source, SQL-first templating engine that allows you to write repeatable and extensible data transforms in Python and SQL. dbt is predominantly used by data warehouses (such as Amazon Redshift ) customers who are looking to keep their data transform logic separate from storage and engine.

Data Lake 105

Data Lake Management Metrics Data Warehouse 105

Jet Global

SEPTEMBER 19, 2023

In fact, a recent Gartner report on cloud expenditure found that cross-industry cloud spend has risen from 8% as a percentage of total IT spend in 2018 to 16% in 2022. Data Access What insights can we derive from our cloud ERP? What are the best practices for analyzing cloud ERP data? Lightning-fast search functionality.

Cost-Benefit 52

Cost-Benefit Data Warehouse Reporting Enterprise 52

Cloudera

JUNE 16, 2022

Organizations are increasingly building low-latency, data-driven applications, automations, and intelligence from real-time data streams. Cloudera Stream Processing (CSP) enables customers to turn streams into data products by providing capabilities to analyze streaming data for complex patterns and gain actionable intel.

Data Lake 86

Data Lake Manufacturing Metadata Dashboards 86

AWS Big Data

MARCH 9, 2023

Thousands of customers rely on Amazon Redshift to build data warehouses to accelerate time to insights with fast, simple, and secure analytics at scale and analyze data from terabytes to petabytes by running complex analytical queries. Data loading is one of the key aspects of maintaining a data warehouse.

Slice and Dice 84

Slice and Dice Data Warehouse Metrics Metadata 84

Alation

APRIL 25, 2023

Using bad data, or the incorrect data can generate devastating results. between 2022 and 2029. And the rise in data valuation has been compared to that of oil during the 19th century. The comparison makes sense because, like petroleum, data has enormous potential. This is where a reverse ETL process is needed.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

Laminar Security

MAY 3, 2023

According to our recent State of Cloud Data Security Report 2023 , 77% of organizations experienced a cloud data breach in 2022. That’s particularly concerning considering that 60% of worldwide corporate data was stored in the cloud during that same period.

Management 52

Management Risk Risk Management Data Processing 52

Alation

APRIL 25, 2023

Using bad data, or the incorrect data can generate devastating results. between 2022 and 2029. And the rise in data valuation has been compared to that of oil during the 19th century. The comparison makes sense because, like petroleum, data has enormous potential. This is where a reverse ETL process is needed.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

Alation

SEPTEMBER 7, 2021

Governance influences how an organization’s objectives are set and achieved, how risk is monitored and addressed, and how performance is optimized. But governance is a time-consuming process (for users and data stewards alike). Data scientists and analysts waste hours verifying the data. Two problems arise.

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

AWS Big Data

MARCH 3, 2023

Cost optimization – When you run Spark or Hive applications using EMR Serverless, you pay for the amount of vCPU, memory, and storage resources consumed by your applications, leading to optimal utilization of resources. EMR Serverless includes the Amazon EMR performance-optimized runtime for Apache Spark and Hive.

Data Lake 86

Data Lake Dashboards Metrics Metadata 86

IBM Big Data Hub

OCTOBER 4, 2023

Why does AI need an open data lakehouse architecture? from 2022 to 2026. Another IDC study showed that while 2/3 of respondents reported using AI-driven data analytics, most reported that less than half of the data under management is available for this type of analytics. All of this supports the use of AI.

Data Lake 81

Data Lake Metadata Cost-Benefit Data Warehouse 81

IBM Big Data Hub

OCTOBER 12, 2023

Among the tasks necessary for internal and external compliance is the ability to report on the metadata of an AI model. Metadata includes details specific to an AI model such as: The AI model’s creation (when it was created, who created it, etc.) But the implementation of AI is only one piece of the puzzle.

Cost-Benefit 79

Cost-Benefit Metadata Data Governance Modeling 79

Smart Data Collective

OCTOBER 13, 2021

It can control changes in the sources from which it extracts data and includes Data Lineage capabilities, which means confidence for the user. How is Data Virtualization performance optimized? How does Data Virtualization complement Data Warehousing and SOA Architectures? In improving operational processes.

Visualization 135

Visualization Cost-Benefit Big Data Prescriptive Analytics 135