Snowflake

JANUARY 8, 2024

As an industry built on data, financial services has always been an early adopter of AI technologies. While the possibilities of gen AI and large language models (LLMs) are limitless, there are several data challenges and risks financial executives need to be aware of when implementing AI that generates original content.

Unstructured Data 83

Unstructured Data Government Portfolio Insurance 83

Snowflake

JANUARY 18, 2024

A fragmented resource planning system causes data silos, making enterprise-wide visibility virtually impossible. And in many ERP consolidations, historical data from the legacy system is lost, making it challenging to do predictive analytics. These capabilities can increase efficiencies and security, lower costs and foster innovation.

Manufacturing 87

Manufacturing Unstructured Data Cloud Architecture 87

Cloudera

SEPTEMBER 12, 2022

It sounds straightforward: you just need data and the means to analyze it. Organizations don’t know what they have anymore and so can’t fully capitalize on it — the majority of data generated goes unused in decision making. And second, for the data that is used, 80% is semi- or unstructured. Open data lakehouse.

Unstructured Data 74

Unstructured Data Data Lake Data Architecture Data 74

Knowledge Hut

APRIL 25, 2024

One of the industries with the quickest growth rates is big data. It refers to gathering and processing sizable amounts of data to produce insights that may be used by an organization to improve its various facets. You must become familiar with the fundamental elements of big data to comprehend it effectively.

Big Data 52

Big Data Data Analytics Manufacturing Retail 52

Monte Carlo

MAY 28, 2024

This involves connecting to multiple data sources, using extract, transform, load ( ETL ) processes to standardize the data, and using orchestration tools to manage the flow of data so that it’s continuously and reliably imported – and readily available for analysis and decision-making.

Data Ingestion 52

Data Ingestion Architecture Designing Hadoop 52

Knowledge Hut

JULY 24, 2023

In this digital age, data is king, and how we manage, analyze, and harness its power is constantly evolving. Disruptive database technologies include, for instance: Blockchain Blockchain is a distributed ledger technology that enables data to be safely stored across several nodes in a decentralized (or sometimes in a centralized) manner.

Database 52

Database NoSQL Management Relational Database 52

Cloudera

DECEMBER 11, 2020

The Data Security and Governance category, at the annual Data Impact Awards, has never been so important. The sudden rise in remote working, a huge influx in data as the world turned digital, not to mention the never-ending list of regulations businesses need to remain compliant with (how many acronyms can you name in full?

Data Lake 98

Data Lake Government Data Security Unstructured Data 98

Towards Data Science

DECEMBER 4, 2023

In this guide Data Engineering meets Formula 1. Anyways, I wasn’t paying enough attention during university classes, and today I’ll walk you through data layers using —  guess what  —  an example. In today’s Formula 1, data is at the core, way more than it was 20 or 30 years back. Data models are built around business needs.

Data Engineering 83

Data Engineering Data Engineer Engineering Data Lake 83

Precisely

MAY 13, 2024

If you need to build stronger, faster, and flexible data integration, use this checklist of ten key attributes to streamline your search and find the right technology for your organization, faster. #1. Are these sources a match for all my batch data ingest and change data capture (CDC) needs? #2.

Data Integration 52

Data Integration Metadata Amazon Web Services Data Governance 52

Knowledge Hut

APRIL 23, 2024

Business Intelligence (BI) refers to the use of technology and processes to gather, analyze, and present business data in a way that helps organizations make informed decisions. BI enables organizations to make data-driven decisions that are more likely to result in success. What is Business Intelligence, and Why is it Important?

Business Intelligence 52

Business Intelligence BI Data Analysis Media 52

Snowflake

JANUARY 22, 2024

As part of that transition, Fidelity has consolidated its analytics data into its Enterprise Analytics Platform, which is engineered using the Snowflake Data Cloud, making it easier for teams and departments across the company to access the data they need. Historically, the platform was housed in physical servers.

Engineering 63

Engineering Data Lake Unstructured Data Metadata 63

Knowledge Hut

APRIL 23, 2024

The world has been dealing with big data for a long time now, and we have come up with several ways to manage and employ it to benefit our industries, schools, governments, and defense systems. As big data evolves and unravels more technology secrets, it might help users achieve ambitious targets. Top 10 Disadvantages of Big Data 1.

Big Data 52

Big Data Media Government Big Data Skills 52

Cloudera

OCTOBER 28, 2020

To start, they look to traditional financial services data, combining and correlating account activity, borrowing history, core banking, investments, and call center data. Below are three examples of customers that have utilized enhanced data and analytics to advance their customer experience initiatives: .

Unstructured Data 71

Unstructured Data Banking Machine Learning Media 71

Knowledge Hut

SEPTEMBER 26, 2023

Businesses require an infrastructure that educates their staff to sort and analyze this volume of data to handle such big data. Data engineering services can be used in this situation. Data engineers work on the data to organize and make it usable with the aid of cloud services.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Towards Data Science

OCTOBER 7, 2023

They promise to help companies analyze data at scale, summarize and synthesize information, generate content, and otherwise transform their businesses. We dug deep into the early adopters’ strategies to learn how companies are putting this technology to use today — and what it takes for a data team to implement gen-AI at scale.

Unstructured Data 73

Unstructured Data Finance SQL Media 73

Monte Carlo

OCTOBER 4, 2023

They promise to help companies analyze data at scale, summarize and synthesize information, generate content, and otherwise transform their businesses. We dug deep into the early adopters’ strategies to learn how companies are putting this technology to use today — and what it takes for a data team to implement gen AI at scale.

Unstructured Data 72

Unstructured Data Finance SQL Media 72

Snowflake

MAY 2, 2023

For clinicians, it may mean the ability to easily and quickly share unstructured data, such as x-ray images, while to another provider it might mean ensuring optimal patient care. But perspectives about data sharing across the industry are changing, driven in large part by the recent pandemic. And its impacts are noticeable.

Healthcare 52

Healthcare Insurance Unstructured Data Data Security 52

Cloudera

OCTOBER 7, 2021

Within the context of a data mesh architecture, I will present industry settings / use cases where the particular architecture is relevant and highlight the business value that it delivers against business and technology areas. Introduction to the Data Mesh Architecture and its Required Capabilities. Components of a Data Mesh.

Architecture 124

Architecture Metadata Government Kafka 124

Cloudera

NOVEMBER 17, 2022

We needed a solution to manage our data at scale, to provide greater experiences to our customers. We needed a solution to manage our data at scale, to provide greater experiences to our customers. With Cloudera Data Platform, we aim to unlock value faster and offer consistent data security and governance to meet this goal.

Banking 84

Banking Management Data Lake Professional Services 84

Knowledge Hut

DECEMBER 13, 2023

Next-generation artificial intelligence and significant advancements in data mining and predictive analytics tools are driving the continued rapid expansion of big data software. The data is the property of various organizations, each of which uses it for various objectives. The USA serves as the company's home base.

Big Data 52

Big Data Consulting Hadoop Amazon Web Services 52

Cloudera

JUNE 22, 2023

These dis-integrated resources are “data platforms” in name only: in addition to their high maintenance costs, their lack of interoperability with other critical systems makes it difficult to respond to business change. The top-line benefits of a hybrid data platform include: Cost efficiency. A radically improved security posture.

Data Cleanse 66

Data Cleanse Data Governance Unstructured Data Cloud Storage 66

Cloudera

JULY 29, 2021

Securely protecting healthcare data is critical for your organization’s success, whether data is ingested, streamed and stored in a data platform that runs in the public, private or hybrid cloud. Security and governance in a hybrid environment. Public, private, hybrid or on-premise data management platform.

Healthcare 101

Healthcare Unstructured Data Government Machine Learning 101

Workfall

MARCH 21, 2023

This allows you to quickly and cheaply build secure and performant apps. SurrealQL supports real-time queries, faster and more performant query processing, advanced permissions, and access control for multi-tenant applications. It can be hosted in the cloud, on-premises, embedded, or edge computing environments in general.

PostgreSQL 68

PostgreSQL NoSQL Database Unstructured Data 68

Monte Carlo

FEBRUARY 15, 2023

The distinction we’re making here are tools, such as PostgreSQL that can be used as transactional databases, versus BigQuery, a data warehouse. A data warehouse tool should be optimized for analytical queries, with features such as columnar storage, that make it much faster to process common ad-hoc questions.

Data Warehouse 52

Data Warehouse Unstructured Data AWS Business Intelligence 52

Knowledge Hut

NOVEMBER 7, 2023

With quick access to various technologies through the cloud, you can develop more quickly and create almost anything you can imagine. You can swiftly provision infrastructure services like computation, storage, and databases, as well as machine learning, the internet of things, data lakes and analytics, and much more.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

Cloud Academy

NOVEMBER 6, 2022

We have different sources we get data from such as feedback, events, and platform usage, and we need to get it, apply transformations, and finally present the data to our internal stakeholders and our customers. Because of the variety of the data that we provide, we recently implemented Cube , a Headless BI solution.

Cloud 52

Cloud BI Data Warehouse Business Intelligence 52

Knowledge Hut

SEPTEMBER 29, 2023

In today's business world, the power of data is undeniable. Big data, in particular, is growing rapidly, and experts predict it could be worth a whopping $273.4 This growth is creating a strong demand for data experts, especially Azure data engineers. It's driving growth and innovation across industries.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

JANUARY 30, 2024

In today's world, where data rules the roost, data extraction is the key to unlocking its hidden treasures. As someone deeply immersed in the world of data science, I know that raw data is the lifeblood of innovation, decision-making, and business progress. What is data extraction?

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

U-Next

SEPTEMBER 7, 2022

A firm can benefit immensely from maintaining accurate and clean employee data, as it is still a difficult task. . Access to employee data and information is essential for efficient staff management. Maintaining communication with your staff, which necessitates correct employee data , is one approach to improve it. .

Data Management 52

Data Management Management Electronics Unstructured Data 52

Monte Carlo

APRIL 24, 2023

Data lakes are useful, flexible data storage repositories that enable many types of data to be stored in its rawest state. A notebook-based environment allows data engineers, data scientists, and analysts to work together seamlessly, streamlining data processing, model development, and deployment.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

Cloudera

NOVEMBER 22, 2021

Open source frameworks such as Apache Impala, Apache Hive and Apache Spark offer a highly scalable programming model that is capable of processing massive volumes of structured and unstructured data by means of parallel execution on a large number of commodity computing nodes. . CRM platforms). public, private, hybrid cloud)?

Government 92

Government Hadoop Data Security Data Warehouse 92

Meltano

OCTOBER 5, 2022

Put simply, it is the process of making raw data usable and accessible to data scientists, business analysts, and other team members who rely on data. Why Is Data Engineering Important? Data engineering is important for collecting insights, which can be used to make informed business decisions.

Data Engineering 52

Data Engineering Data Engineer Engineering Raw Data 52

AltexSoft

FEBRUARY 11, 2023

This suggests that today, there are many companies that face the need to make their data easily accessible, cleaned up, and regularly updated. Hiring a well-skilled data architect can be very helpful for that purpose. What is a data architect? What is the main difference between a data architect and a data engineer?

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

NOVEMBER 17, 2023

Today, data is everything, and every technology runs around managing, storing, accessing, and processing this data. After the introduction of cloud computing, the need for managing expanding data is getting more critical. Many people are going for Data Science Courses in India to leverage the true power of AWS.

AWS 52

AWS Data Science Certification Amazon Web Services 52

Cloudera

JULY 26, 2021

In fact, data product development introduces an additional requirement that wasn’t as relevant in the past as it is today: That of scalability in permissioning and authorization given the number and multitude of different roles of data constituents, both internal and external accessing a data product.

Generalist 117

Generalist Telecommunication Healthcare Data 117

Edureka

FEBRUARY 7, 2023

When it comes to professionals, data engineers are the most in-demand in the IT industry. Most students are already preparing to become skilled data engineers, and we are here to cover some of the most frequently asked topics in Azure Data Engineering Interview Questions. 2) What is Azure’s primary ETL service?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Edureka

AUGUST 2, 2023

Data processing analysts are experts in data who have a special combination of technical abilities and subject-matter expertise. They are essential to the data lifecycle because they take unstructured data and turn it into something that can be used.

Data Process 52

Data Process Process Data Cleanse Data Mining 52