Monte Carlo

JANUARY 23, 2024

Gen AI can whip up serviceable code in moments — making it much faster to build and test data pipelines. Today’s LLMs can already process enormous amounts of unstructured data, automating much of the monotonous work of data science. But what does that mean for the roles of data engineers and data scientists going forward?

Database-centric 52

Database-centric Pipeline-centric Metadata Unstructured Data 52

Knowledge Hut

MAY 3, 2024

Following is the authentic one-liner definition. One would find multiple definitions when you search the term Apache Spark. One would find the keywords ‘Fast’ and/or ‘In-memory’ in all the definitions. Cluster Computing: Efficient processing of data on Set of computers (Refer commodity hardware here) or distributed systems.

Scala 98

Scala Hadoop Healthcare Big Data 98

Towards Data Science

APRIL 6, 2023

Data types : Anomaly detection looks different depending on if the data is structured, semi-structured, or unstructured, so it’s important to know what you’re working with. When it comes to detecting anomalies in unstructured data (e.g.,

Unstructured Data 78

Unstructured Data Metadata Data Coding 78

Cloudera

JANUARY 28, 2022

Then there are the more extensive discussions – scrutiny of the overarching, data strategy questions related to privacy, security, data governance /access and regulatory oversight. These are not straightforward decisions, especially when data breaches always hit the top of the news headlines.

Cloud 113

Cloud Banking Data Governance Government 113

AltexSoft

JUNE 26, 2023

Commonly, the entire flow is fully automated and consists of three main steps — data extraction, transformation, and loading ( ETL or ELT , for short, depending on the order of the operations.) Dive deeper into the subject by reading our article Data Integration: Approaches, Techniques, Tools, and Best Practices for Implementation.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

phData: Data Engineering

NOVEMBER 1, 2024

Data governance plays a critical role in the successful implementation of Generative AI (GenAI) and large language models (LLM), with 86.7% It serves as a vital protective measure, ensuring proper data access while managing risks like data breaches and unauthorized use. of respondents rating it as highly impactful.

Government 52

Government Data Governance Finance Metadata 52

Data Engineering Weekly

JUNE 4, 2023

Our latest report highlights the impact of bad data on your bottom line (did you know that poor data quality impacts 31% of revenue?!) Access the Report Kaushik Muniandi: Text-Based Search - From Elastic Search to Vector Search Last month or so, I experimented with vector search with embedding.

Data Engineering 52

Data Engineering Data Engineer Engineering Medical 52

Monte Carlo

MAY 14, 2024

Depending on the quantity of data flowing through an organization’s pipeline — or the format the data typically takes — the right modern table format can help to make workflows more efficient, increase access, extend functionality, and even offer new opportunities to activate your unstructured data.

Data Lake 52

Data Lake Metadata Hadoop Data Governance 52

Cloudera

AUGUST 16, 2021

Hundreds of built-in processors make it easy to connect to any application and transform data structures or data formats as needed. Since it supports both structured and unstructured data for streaming and batch integrations, Apache NiFi is quickly becoming a core component of modern data pipelines. and later).

Cloud 121

Cloud Unstructured Data Utilities Metadata 121

Monte Carlo

FEBRUARY 15, 2023

Data can be loaded using a loading wizard, cloud storage like S3, programmatically via REST API, third-party integrators like Hevo, Fivetran, etc. Data can be loaded in batches or can be streamed in near real-time. Structured, semi-structured, and unstructured data can be loaded.

Data Warehouse 52

Data Warehouse Unstructured Data AWS Business Intelligence 52

Cloudera

SEPTEMBER 1, 2020

DDE also makes it much easier for application developers or data workers to self-service and get started with building insight applications or exploration services based on text or other unstructured data (i.e. data best served through Apache Solr). What does DDE entail? Provides perimeter security.

Cloud Storage 70

Cloud Storage Unstructured Data AWS Analytics Application 70

Cloudera

SEPTEMBER 15, 2022

Mark: While most discussions of modern data platforms focus on comparing the key components, it is important to understand how they all fit together. The collection of source data shown on your left is composed of both structured and unstructured data from the organization’s internal and external sources.

Data Lake 81

Data Lake Analytics Application Cloud Storage Architecture 81

Grouparoo

JANUARY 11, 2022

When it comes to storing large volumes of data, a simple database will be impractical due to the processing and throughput inefficiencies that emerge when managing and accessing big data. This article looks at the options available for storing and processing big data, which is too large for conventional databases to handle.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

ProjectPro

FEBRUARY 8, 2023

AWS Glue then creates data profiles in the catalog, a repository for all data assets' metadata, including table definitions, locations, and other features. Let us look at some significant reasons that make AWS Glue a popular serverless data integration service across organizations worldwide. Why Use AWS Glue?

AWS 98

AWS Scala Metadata Data Lake 98

The Modern Data Company

MAY 10, 2023

In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. Companies need more than definitions.

Data Management 52

Data Management Management Data Lake Data Warehouse 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

The Modern Data Company

MAY 10, 2023

In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. Companies need more than definitions.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

MAY 10, 2023

In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. Companies need more than definitions.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

Grouparoo

NOVEMBER 16, 2021

This is where data transformation can come to the rescue. What is Data Transformation Simply speaking, the data transformation definition is the process of converting data from diverse sources into a standard format that supports its analysis. One of the leaders in the space focused on data transforms is dbt.

Data Mining 52

Data Mining Raw Data ETL Tools Data 52

Knowledge Hut

APRIL 25, 2024

You'll be better able to comprehend the complex ideas in this field if you have a solid understanding of the characteristics of big data in data analytics and a list of essential features for new data platforms. What Are the Different Features of Big Data Analytics?

Big Data 52

Big Data Data Analytics Manufacturing Retail 52

Knowledge Hut

DECEMBER 22, 2023

Statistics are used by data scientists to collect, assess, analyze, and derive conclusions from data, as well as to apply quantifiable mathematical models to relevant variables. Microsoft Excel An effective Excel spreadsheet will arrange unstructured data into a legible format, making it simpler to glean insights that can be used.

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98

ProjectPro

FEBRUARY 16, 2023

Category Business Intelligence (BI) Artificial Intelligence (AI) Definition A set of processes, architectures, and technologies that convert raw data into meaningful and useful information for business analysis purposes. Input Data Structured data from various sources, such as databases, spreadsheets, and ERP systems.

Business Intelligence 52

Business Intelligence BI Data Mining Algorithm 52

Knowledge Hut

APRIL 26, 2024

Let's take a look at all the fuss about data science , its courses, and the path to the future. What is Data Science? In order to discover insights and then analyze multiple structured and unstructured data, Data Science requires the use of different instruments, algorithms and principles.

Data Science 52

Data Science Machine Learning Hadoop Algorithm 52

Ascend.io

DECEMBER 14, 2022

In the hopes of resolving this issue, ETL tasks that update hundreds or millions of data warehouse tables frequently take place at night. But in a world that favors the here and now, ETL processes lack in the area of providing analysts with new, fresh data. The same principle guides data transformations in the ELT process.

Data Integration 52

Data Integration Raw Data Data Consolidation Data Warehouse 52

DataKitchen

APRIL 13, 2021

Because it is such a new category, both overly narrow and overly broad definitions of DataOps abound. DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. Meta-Orchestration . Other Vendors Talking DataOps.

Consulting 121

Consulting Machine Learning Data Science Data Pipeline 121

Knowledge Hut

MARCH 15, 2024

5) AZ-204: Microsoft Azure Developer Associate Developers working on cloud projects in all stages—from requirements, definition, and design through development, deployment, and maintenance to performance tuning and monitoring—are an ideal group for this Professional Certificate.

Cloud Computing 52

Cloud Computing Certification Algorithm SQL 52

Knowledge Hut

SEPTEMBER 22, 2023

Is Azure Data Engineer Certification Worth It? In my opinion, Azure Data Engineer Certification is definitely worth it for people who wish to make a career in this field. A profession in Azure data engineering can be satisfying even when it is challenging. How Long Does Microsoft Azure Data Engineer Certification Take?

Certification 52

Certification Data Engineer Data Engineering Engineering 52

Monte Carlo

AUGUST 31, 2023

Your downstream data consumers including product analysts, marketing leaders, and sales teams rely on data-driven tools like CRMs, CXPs, CMSs, and any other acronym under the sun to do their jobs quickly and effectively. But what happens when the data is wrong? What is Data Quality?

Data Lake 52

Data Lake Data Pipeline Unstructured Data Data Warehouse 52

Knowledge Hut

JANUARY 30, 2024

However, through data extraction, this hypothetical mortgage company can extract additional value from an existing business process by creating a lead list, thereby increasing their chances of converting more leads into clients. Text data extraction tools are used for tasks like information retrieval and content summarization.

ETL Tools 52

ETL Tools Database-centric Data Mining Raw Data 52

AltexSoft

AUGUST 22, 2022

So, instead of replacing or rebuilding the existing infrastructure, you add a new, ML-powered abstraction layer on top of the underlying data sources, enabling various users to access and manage the information they need without duplication. Data fabric architecture example. Unified data access. Data catalog.

Architecture 52

Architecture Metadata Data Lake Machine Learning 52

ProjectPro

JUNE 9, 2021

As we proceed further into the blog, you will find some statistics on data engineering vs. data science jobs and data engineering vs. data science salary, along with an in-depth comparison between the two roles- data engineer vs. data scientist. vs. What does a Data Engineer do? What is Data Science?

Data Engineer 52

Data Engineer Data Engineering Engineering Amazon Web Services 52

Knowledge Hut

JUNE 20, 2023

Data Engineer vs Machine Learning Engineer While there are similarities between a data engineer and a machine learning engineer, both play a key role in the technological world. Factors Data Engineer Machine Learning Definition Data engineers create, maintain, and optimize data infrastructure for data.

Machine Learning 52

Machine Learning Data Engineer Data Engineering Engineering 52

Knowledge Hut

JUNE 23, 2023

Application makers apply real-time data analytics to include real-time analytics databases in their products, giving clients quick access to data insights. Real-time data analytics are applied in transportation to improve safety, plan paths, and watch traffic.

Data Analytics 52

Data Analytics IT Transportation Analytics Architecture 52

ProjectPro

JULY 27, 2021

Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language). SQL works on data arranged in a predefined schema. Non-relational databases support dynamic schema for unstructured data.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

ProjectPro

DECEMBER 17, 2021

Industry experts at ProjectPro say that although both have been developed for the same task, i.e., data storage, they vary significantly in terms of the audience they cater to. NoSQL databases are designed to store unstructured data like graphs, documents, etc., whereas SQL databases deal with structured data in tables.

Data Science 52

Data Science SQL NoSQL Programming Language 52

Meltano

OCTOBER 5, 2022

To reduce development time and increase data reliability, DataOps engineers automate manual processes, such as data extraction and testing. Managing the production of data pipelines. A DataOps engineer provides organizations with access to structured datasets and analytics they will further analyze and derive insights from.

Engineering 52

Engineering Raw Data Data Pipeline ETL Tools 52

Monte Carlo

JUNE 4, 2024

In a nutshell: Data : The ability for Snowflake to handle all structured and unstructured data types. Not just separating compute from storage, but “compute from compute” with multiple workloads running on the same data. Models : Access to world class AI and LLM models including CortexAI and Arctic.

Government 45

Government Coding Unstructured Data Machine Learning 45