The Modern Data Company

APRIL 15, 2024

Strategic Advantages: Data Strategy Aligned with Business Goals: Ensure that your tech strategies directly support business objectives, with data to back up budget and strategic decisions. Value from Data: Turn overwhelming data and isolated silos into a streamlined, valuable asset.

Raw Data 52

Raw Data Government Data Datasets 52

Monte Carlo

OCTOBER 5, 2023

Enter the world of data clean rooms – the super secure havens where you can mix and mingle data from different sources to get insights without getting your hands dirty with the raw data. How data clean rooms work Data clean rooms combine and analyze different data sources without directly accessing the raw data.

Raw Data 52

Raw Data Medical Manufacturing AWS 52

AltexSoft

AUGUST 29, 2023

The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. This article explains what a data lake is, its architecture, and diverse use cases. Raw data store section.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Knowledge Hut

OCTOBER 4, 2023

While the numbers are impressive (and a little intimidating), what would we do with the raw data without context? The tool will sort and aggregate these raw data and transport them into actionable, intelligent insights. You can identify the issues in data quality before you begin to generate reports.

BI 52

BI Systems Raw Data Business Intelligence 52

Ascend.io

NOVEMBER 21, 2023

More importantly, we will contextualize ELT in the current scenario, where data is perpetually in motion, and the boundaries of innovation are constantly being redrawn. Extract The initial stage of the ELT process is the extraction of data from various source systems. What Is ELT? So, what exactly is ELT?

Raw Data 52

Raw Data Data Warehouse Data Cleanse Data Integration 52

Precisely

MARCH 9, 2023

We will also address some of the key distinctions between platforms like Hadoop and Snowflake, which have emerged as valuable tools in the quest to process and analyze ever larger volumes of structured, semi-structured, and unstructured data. Precisely helps enterprises manage the integrity of their data.

Data Lake 59

Data Lake Data Warehouse Hadoop Raw Data 59

The Modern Data Company

MAY 10, 2023

Data governance and security: Evaluate the native security, data governance, and data quality management features. Wants to leverage the power of advanced analytics, AI, and machine learning on large volumes of raw data. Data lakes offer a scalable and cost-effective solution.

Data Management 52

Data Management Data Lake Management Data Warehouse 52

Databand.ai

AUGUST 30, 2023

Data silos: Legacy architectures often result in data being stored and processed in siloed environments, which can limit collaboration and hinder the ability to generate comprehensive insights. It should also address issues related to data security, privacy, and compliance, particularly when dealing with sensitive or regulated data.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Precisely

FEBRUARY 6, 2023

Data integrity also requires that the entire tapestry of data sources throughout an organization be woven together so that business users can develop a complete and meaningful picture of the things that matter most to them. That requires data integration to unlock the information stored in siloed systems.

Data Integration 52

Data Integration Data Governance Government Raw Data 52

The Modern Data Company

MAY 10, 2023

Data governance and security: Evaluate the native security, data governance, and data quality management features. Wants to leverage the power of advanced analytics, AI, and machine learning on large volumes of raw data. Data lakes offer a scalable and cost-effective solution.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

MAY 10, 2023

Data governance and security: Evaluate the native security, data governance, and data quality management features. Wants to leverage the power of advanced analytics, AI, and machine learning on large volumes of raw data. Data lakes offer a scalable and cost-effective solution.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

DareData

JULY 5, 2023

If you work at a relatively large company, you've seen this cycle happening many times: Analytics team wants to use unstructured data on their models or analysis. For example, an industrial analytics team wants to use the logs from raw data.

Data Lake 52

Data Lake Building Raw Data ETL Tools 52

Cloudera

JANUARY 20, 2021

The data journey is not linear, but it is an infinite loop data lifecycle – initiating at the edge, weaving through a data platform, and resulting in business imperative insights applied to real business-critical problems that result in new data-led initiatives. Fig 1: The Enterprise Data Lifecycle.

Manufacturing 109

Manufacturing Data Warehouse Kafka Retail 109

Ascend.io

JANUARY 10, 2024

This process ensures your data is accurate, complete, and consistently up-to-date — preventing any degradation that could mislead your AI, which can lead to erroneous outputs. Effective Data Governance: Lastly, let’s talk about governance. This is your rulebook for managing data. Why is this important?

Data Pipeline 52

Data Pipeline Government Data Governance Raw Data 52

Monte Carlo

APRIL 24, 2023

By accommodating various data types, reducing preprocessing overhead, and offering scalability, data lakes have become an essential component of modern data platforms , particularly those serving streaming or machine learning use cases.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

The Modern Data Company

APRIL 15, 2024

Transforming Data Complexity into Strategic Insight At first glance, the process of transforming raw data into actionable insights can seem daunting. The journey from data collection to insight generation often feels like operating a complex machine shrouded in mystery and uncertainty.

Building 52

Building Raw Data Food Data 52

Databand.ai

AUGUST 30, 2023

Data testing tools are software applications designed to assist data engineers and other professionals in validating, analyzing, and maintaining data quality. There are several types of data testing tools.

Data Cleanse 52

Data Cleanse Data Validation Data Pipeline Datasets 52

Knowledge Hut

APRIL 25, 2024

A global poll of 150 thought leaders across verticals found that 68% of corporations will likely expand their investment in spatial data science in the next two years. It is the right time to skill yourself in spatial data science cases, applications, and various elements.

Data Science 52

Data Science Telecommunication Transportation Big Data 52

Knowledge Hut

OCTOBER 30, 2023

The role of a Power BI developer is extremely imperative as a data professional who uses raw data and transforms it into invaluable business insights and reports using Microsoft’s Power BI. Ensure compliance with data protection regulations. Who is a Power BI Developer? Excel, SharePoint, and web services.

BI 52

BI Business Intelligence Data Cleanse Business Analyst 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

Knowledge Hut

JANUARY 18, 2024

It requires mathematical modeling, machine learning, and other advanced statistical methods to extract useful insights from raw data. Data scientists are employed by both small startups and large corporations such as Google, Facebook, Amazon, and Microsoft and government agencies like NSA and CIA.

Data Science 52

Data Science Computer Science Programming Language NoSQL 52

Databand.ai

AUGUST 30, 2023

Data testing tools: Key capabilities you should know Helen Soloveichik August 30, 2023 Data testing tools are software applications designed to assist data engineers and other professionals in validating, analyzing and maintaining data quality. There are several types of data testing tools.

Data Cleanse 52

Data Cleanse Data Pipeline Datasets Data Validation 52

DataKitchen

FEBRUARY 1, 2021

Demonstrating your success with data can help gradually win over detractors. In many organizations, analytics follows a complex path from raw data to processed analytics that create value. Your data crosses organizational boundaries, data centers, teams, and organizations. What other problems have eroded trust?

Project 98

Project Raw Data Consulting Data Science 98

Rockset

AUGUST 2, 2023

For one, the company decided to invest in an API Insights Lab where customers and partners across suppliers, carriers, governments and insurance companies could use maritime data as part of their internal systems and workflows. As a result, Windward wanted an underlying data stack that took an API first approach.

Database-centric 52

Database-centric PostgreSQL Transportation Insurance 52

Cloudera

SEPTEMBER 15, 2022

The data products are packaged around the business needs and in support of the business use cases. This step requires curation, harmonization, and standardization from the raw data into the products. Luke: In your experience, what’s the most practical definition of data fabric for companies thinking about implementing it?

Data Lake 82

Data Lake Analytics Application Cloud Storage Architecture 82

DataKitchen

OCTOBER 5, 2021

A DataOps Engineer owns the assembly line that’s used to build a data and analytic product. The Data Journey. A data pipeline is a series of steps that transform raw data into analytic insights that create value. Familiarity with the toolchain your data engineers, scientists, analysts and governance team use.

Engineering 60

Engineering Raw Data SQL Data Engineering 60

Grouparoo

JANUARY 11, 2022

A data warehouse is a unified repository where data from diverse sources undergo aggregation and integration into a usable source of information. To achieve this, a data warehouse will require processes to gather and integrate data, manage data quality, create metadata, and support any regulatory compliance and governance procedures.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

Knowledge Hut

JULY 31, 2023

Data governance and compliance: With the increasing focus on data privacy and security, BI tools play a vital role in ensuring data governance and compliance with regulatory requirements. They manage data access, monitor data quality, and enforce data protection measures.

Business Intelligence 52

Business Intelligence BI Data Mining Data Collection 52

ProjectPro

FEBRUARY 16, 2023

Many companies use AWS , including government agencies and multimillion-dollar startups. The process of data extraction from source systems, processing it for data transformation, and then putting it into a target data system is known as ETL, or Extract, Transform, and Load.

AWS 52

AWS Data Management ETL Tools Management 52

DataKitchen

OCTOBER 2, 2023

Whether the Data Ingestion Team struggles with fragmented database ownership and volatile data environments or the End-to-End Data Product Team grapples with real-time data observability issues, the article provides actionable recommendations. ’ What’s a Data Journey?

Data Ingestion 40

Data Ingestion Data Government Datasets 40

Knowledge Hut

JUNE 28, 2023

In our data-driven world, our lives are governed by big data. The TV shows we watch, the social media we follow, the news we read, and even the optimized routes we take to work are all influenced by the power of big data analytics. Structured data from databases, data warehouses, and operational systems.

Data Mining 52

Data Mining Business Intelligence BI Datasets 52

Cloudera

DECEMBER 17, 2020

First and foremost, we designed the Cloudera Data Platform (CDP) to optimize every step of what’s required to go from raw data to AI use cases. At Cloudera, we’re focused on making enterprise organizations successful with machine learning.

Machine Learning 82

Machine Learning Data Science Data Pipeline Raw Data 82

DataKitchen

DECEMBER 9, 2022

DataOps involves collaboration between data engineers, data scientists, and IT operations teams to create a more efficient and effective data pipeline, from the collection of raw data to the delivery of insights and results.

Machine Learning 52

Machine Learning Data Preparation Government Data Analytics 52

Grouparoo

NOVEMBER 29, 2021

Machine Data Equipment ranging from simple sensors to complex operational technology may generate information as a data source. This can vary from raw data extracted directly from the equipment or an intermediatory data source such as a data stream. It may be raw data, validated data, or big data.

Raw Data 40

Raw Data Big Data Relational Database Data Warehouse 40

Cloudera

NOVEMBER 19, 2020

November 15-21 marks International Fraud Awareness Week – but for many in government, that’s every week. From bogus benefits claims to fraudulent network activity, fraud in all its forms represents a significant threat to government at all levels. The Public Sector data challenge. Modernization has been a boon to government.

Government 119

Government Machine Learning Algorithm Raw Data 119

Knowledge Hut

SEPTEMBER 28, 2023

Let’s check out its benefits: Power BI certification shows that you understand the tools and are capable of performing the following tasks: Data extraction and transformation: Power BI allows us to extract raw data, correct errors, sort data, and clean the file for faster analysis.

BI 52

BI Business Intelligence Certification Raw Data 52

Knowledge Hut

NOVEMBER 16, 2023

Some of these skills are a part of your data science expertise and the remaining as part of cloud proficiency. Data Pre-processing Data pre-processing is the preliminary step towards any data science application. Pre-processed data can then be utilised to perform data visualisations and training models for analysis.

Data Science 52

Data Science Technology Programming Language Cloud Computing 52