Top

Tag: data lake


BI Categories, Data Mining

Data Lakehouse Architecture 101

March 27, 2024

Via: DATAVERSITY

A data lakehouse, in the simplest terms, combines the best functionalities of a data lake and a data warehouse. It offers a unified platform for seamlessly integrating both structured and unstructured data, providing businesses agility, scalability, and flexibility in their […]


BI Users, Data Analyst

How to Become a Data Engineer

March 6, 2024

Via: DATAVERSITY

The work of data engineers is extremely technical. They are responsible for designing and maintaining the architecture of data systems, which incorporates concepts ranging from analytic infrastructures to data warehouses. A data engineer needs to have a solid understanding of […]


BI Categories, Data Mining

Data Provisioning: Ingest, Curate, and Publish

August 21, 2023

Via: DATAVERSITY

A collection of facts from which inferences can be made is called data. It is the basis on which factual information is derived, providing relevant results to the end users. Data is the cornerstone of contemporary society and is crucial […]


BI Categories, Data Mining

Structured vs. Unstructured Data: An Overview

April 11, 2023

Via: DATAVERSITY

Structured data and unstructured data are both forms of data, but the first uses a single standardized format for storage, and the second does not. Structured data must be appropriately formatted (or reformatted) to provide a standardized data format before […]


Software & Systems

AWS is changing

December 5, 2022

Via: InfoWorld

After what struck me as a relatively dry spell of product announcements in 2021, AWS spent re:Invent 2022 launching a host of new services. AWS Chief Evangelist Jeff Barr, with help from some AWS developer advocates, summarized the most impactful […]


BI Categories, Data Mining

Maximize the ROI of Your Enterprise Data Lake

October 14, 2022

Via: DATAVERSITY

With organizations embracing digitization in a big way, the generation of data has grown manifold. According to IDC, the growth of data will be huge across industries, from 16 zettabytes to 160 zettabytes. The data being talked about is useful […]


BI Security

Why Data Access Governance Is Key to Going Faster

July 28, 2022

Via: DATAVERSITY

Every day, businesses create, collect, compile, store, and share exponentially growing amounts of data. When put to use effectively, sales teams can boost revenue, marketing can improve the customer experience, HR can keep employees happy, and so on. But we […]


BI Categories, Data Mining

Databricks open sources its Delta Lake data lake

June 28, 2022

Via: InfoWorld

In an effort to push past doubts cast by rival firms, data lake provider Databricks on Tuesday said that it is open sourcing all Delta Lake APIs as part of the Delta Lake 2.0 release. The company also announced that […]


BI Categories, Data Mining

Data Mesh vs. Data Lake: Which Is Better for Your Business?

June 7, 2022

Via: DATAVERSITY

In a data-driven business climate, data is playing a key role in capturing market intelligence and “actionable insights” to augment business operations. Thus, Data Management platforms, tools, and associated technologies are increasingly getting a global focus. Two Data Management technologies […]


BI Categories, Data Mining

How to Leverage Machine Learning to Identify Data Errors in a Data Lake

May 26, 2022

Via: DATAVERSITY

A data lake becomes a data swamp in the absence of comprehensive data quality validation and does not offer a clear link to value creation. Organizations are rapidly adopting the cloud data lake as the data lake of choice, and […]


BI Categories, Data Mining

Databases vs. Hadoop vs. Cloud Storage

May 11, 2022

Via: DATAVERSITY

How can an organization thrive in the 2020s, a changing and confusing time with significant Data Management demands and platform options such as data warehouses, Hadoop, and the cloud? Trying to save money by bandaging and using the same old […]


BI Users, Data Analyst

What is a data lake? Massively scalable storage for big data analytics

April 29, 2022

Via: InfoWorld

In 2011, James Dixon, then CTO of the business intelligence company Pentaho, coined the term data lake. He described the data lake in contrast to the information silos typical of data marts, which were popular at the time:If you think […]


BI Users, Data Analyst

Using a Data Lake Engine to Provide Self-Service Insights

January 20, 2022

Via: DATAVERSITY

Understanding and fulfilling customer needs is the key to business success, and customer data is the foundation upon which that success is built. Accessing and analyzing data is almost always dependent on data engineers and other IT staff, while decision-makers […]


BI Categories, Data Mining

Data Modeling Trends in 2022

December 28, 2021

Via: DATAVERSITY

A data model should show the relationships that exist between various customers, concepts, products, among many. Data Modeling describes the creation of a visual representation (a chart or diagram) of a data system, or parts of that system. It is […]


BI Categories, Data Mining

Data Warehouse vs. Data Lake Technology: Different Approaches to Managing Data

November 11, 2021

Via: DATAVERSITY

Solving business problems using big data depends upon the approach taken. For example, if an organization only knows data warehouses, then challenges will be framed to fit using a data warehouse. As Abraham Maslow, a prominent psychologist eloquently said “I […]


BI Users, IT Team

The Connection Between Good Data Management and Enterprise Agility

October 25, 2021

Via: DATAVERSITY

The word “agile” is defined in one dictionary as “quick and well-coordinated in movement; lithe.” During the last two years, however, the word has taken on an entirely different meaning for companies navigating the complexities of a pandemic. As the […]


BI Categories, Data Mining

Need for Data Fabrics Rises as IT Becomes More Distributed

March 22, 2021

Via: itbusinessedge

Data is the fuel that drives digital business processes, but most organizations today don’t have an efficient way of managing it across all the platforms on which they have deployed applications. At its core a data fabric architecture loosely describes […]