CIO Business Intelligence

AUGUST 9, 2022

Data engineers are often responsible for building algorithms for accessing raw data, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved. Data engineer salary.

Analytics 130

Analytics Data Science Statistics Unstructured Data 130

CIO Business Intelligence

JUNE 23, 2022

In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB. But this is not your grandfather’s big data.

IT 91

IT Data Architecture Unstructured Data Big Data 91

IBM Big Data Hub

JANUARY 5, 2023

The first generation of data architectures represented by enterprise data warehouse and business intelligence platforms were characterized by thousands of ETL jobs, tables, and reports that only a small group of specialized data engineers understood, resulting in an under-realized positive impact on the business.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

Laminar Security

AUGUST 21, 2023

As we hit 2023, Gartner’s Hype Cycle for Data Security sheds light on the latest advancements and technologies that can bolster data security including data security posture management (DSPM). Convergence of these technologies will make processes more effective.

Management 40

Management Risk Unstructured Data Data Strategy 40

AWS Big Data

MARCH 10, 2023

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

Data Lake 107

Data Lake Sales Data Warehouse Snapshot 107

Alation

SEPTEMBER 9, 2021

Data governance means putting in place a continuous process to create and improve policies and standards around managing data to ensure that the information is usable, accessible, and protected. In banks, this means: Setting data format standards. Identifying structured and unstructured data that needs to be protected.

Data Governance 52

Data Governance Data Strategy Strategy Risk 52

Sisense

MAY 28, 2020

“Not only do they have to deal with data that is distributed across on-premises, hybrid, and multi-cloud environments, but they have to contend with structured, semi-structured, and unstructured data types. Continuous efforts to update the data center will be integral to business success,” states the Forbes Insight report.

Internet of Things 83

Internet of Things Metadata Data-driven Unstructured Data 83

Sisense

NOVEMBER 12, 2020

The reduced overhead and cost of ownership with cloud data warehouses often makes them much cheaper than traditional warehouses. Cloud data warehouses in your data stack. To answer this question, it’s important to consider what a cloud data warehouse does best: efficiently store and analyze large volumes of data.

Data Warehouse 52

Data Warehouse Data Lake OLAP Data-driven 52

CIO Business Intelligence

MARCH 29, 2022

A common data habit that results in missed opportunity is assuming data has no further value once it’s been used for the particular purpose. Data is ingested, processed, transformed (perhaps for a specific report or to be stored in a traditional database), and then the raw or partially processed data is discarded.

Cost-Benefit 52

Cost-Benefit Machine Learning Metadata Data Quality 52

Cloudera

JULY 29, 2022

Similarly, data should be treated as a corporate asset with a dedicated long-term strategy that lets the organization store, manage, and utilize its data effectively. Most importantly, it helps organizations control costs and reduce risks, enforcing consistent security and governance across all enterprise data assets.”.

Data Architecture 84

Data Architecture Data Strategy Risk Management Strategy 84

BizAcuity

APRIL 14, 2022

Netflix uses big data to make decisions on new productions, casting and marketing and generate millions in revenue through successful and strategic bets. Data Management. Before building a big data ecosystem, the goals of the organization and the data strategy should be very clear. Unstructured Data Management.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

CIO Business Intelligence

MARCH 13, 2023

“The main challenge is how can companies extract data out of every silo and make it more meaningful,” says Manoj Palaniswamy, Principal Architect, Data & AI Services at Kyndryl. They need to bring it into an environment where it can be used for analytics, reporting, AI, and machine learning.”

Unstructured Data 52

Unstructured Data Data Strategy Data-driven Consulting 52

Cloudera

NOVEMBER 25, 2020

Sample and treatment history data is mostly structured, using analytics engines that use well-known, standard SQL. Interview notes, patient information, and treatment history is a mixed set of semi-structured and unstructured data, often only accessed using proprietary, or less known, techniques and languages.

Data Warehouse 57

Data Warehouse Unstructured Data Analytics Visualization 57

CIO Business Intelligence

AUGUST 18, 2022

The result is an emerging paradigm shift in how enterprises surface insights, one that sees them leaning on a new category of technology architected to help organizations maximize the value of their data. Enter the data lakehouse. Under Guadagno, the Deerfield, Ill.

Data Lake 140

Data Lake Data Warehouse Unstructured Data Business Intelligence 140

CIO Business Intelligence

MAY 24, 2022

Defining and using single data points for multiple purposes. Building a semantic layer describing unified business and reporting definitions. Unlocking the value of data with in-depth advanced analytics, focusing on providing drill-through business insights. EXTRACTING VALUE FROM DATA.

Data-driven 94

Data-driven Data Lake Data Warehouse Cost-Benefit 94

Cloudera

JULY 26, 2021

Auditabily: Data security and compliance constituents need to understand how data changes, where it originates from and how data consumers interact with it. a technology choice such as Spark Streaming is overly focused on throughput at the expense of latency) or data formats (e.g., Conclusion.

Strategy 114

Strategy Data Science Marketing Unstructured Data 114

Alation

MARCH 21, 2023

To fully realize data’s value, organizations in the travel industry need to dismantle data silos so that they can securely and efficiently leverage analytics across their organizations. What is big data in the travel and tourism industry? Subscribe to Alation's Blog Get the latest data cataloging news and trends in your inbox.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Sisense

MAY 11, 2021

In this article, we’ll dig into what data modeling is, provide some best practices for setting up your data model, and walk through a handy way of thinking about data modeling that you can use when building your own. Building the right data model is an important part of your data strategy. Discover why.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

Grooper

AUGUST 19, 2019

Traditional data sources like end of month statements and quarterly reports are no longer enough. It includes the reports, charts, dashboards, and terminology unique to your organization. ISL helps today's business leaders understand how data answers business questions. Master data management. Data governance.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Sisense

JULY 23, 2021

“We are also working to factor in the COVID impact when making sense of the data and, more importantly, when communicating it.”. Chris and his team are increasing the volume of data being captured and using automation to augment their data strategy : “This is a real jump forward for us.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

Alation

DECEMBER 15, 2021

A data governance strategy helps prevent your organization from having “bad data” — and the poor decisions that may result! Here’s why organizations need a governance strategy: Makes data available: So people can easily find and use both structured and unstructured data. Defensive vs Offensive.

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

Sisense

JULY 6, 2021

See our free analyst report on next-generation embedded custom analytics. Get analyst report. Pairing the right analytics platform with the right AWS cloud product is one way organizations of all kinds can accelerate and future-proof their data strategy, infusing advanced real-time intelligence into customer-facing apps.

Data Lake 52

Data Lake Data Warehouse Data-driven Unstructured Data 52

IBM Big Data Hub

AUGUST 4, 2023

Data within a data fabric is defined using metadata and may be stored in a data lake, a low-cost storage environment that houses large stores of structured, semi-structured and unstructured data for business analytics, machine learning and other broad applications. What are your data and AI objectives?

Data Architecture 62

Data Architecture Data Lake Machine Learning Data Governance 62