Knowledge Hut

NOVEMBER 2, 2023

An Azure Data Engineer is a professional responsible for designing, implementing, and managing data solutions using Microsoft's Azure cloud platform. They work with various Azure services and tools to build scalable, efficient, and reliable data pipelines, data storage solutions, and data processing systems.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Databand.ai

AUGUST 30, 2023

DataOps Architecture Legacy data architectures, which have been widely used for decades, are often characterized by their rigidity and complexity. These systems typically consist of siloed data storage and processing environments, with manual processes and limited collaboration between teams.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 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. Traditionally, after being stored in a data lake, raw data was then often moved to various destinations like a data warehouse for further processing, analysis, and consumption.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

Ascend.io

JANUARY 2, 2024

The key differentiation lies in the transformational steps that a data pipeline includes to make data business-ready. Ultimately, the core function of a pipeline is to take raw data and turn it into valuable, accessible insights that drive business growth. best suit our processed data? cleaning, formatting)?

Data Pipeline 52

Data Pipeline Building Raw Data Data Warehouse 52

Knowledge Hut

NOVEMBER 28, 2023

The contemporary world experiences a huge growth in cloud implementations, consequently leading to a rise in demand for data engineers and IT professionals who are well-equipped with a wide range of application and process expertise. This can be easier when you are using existing cloud services.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Knowledge Hut

NOVEMBER 16, 2023

Cloud computing, along with data science has been the buzzword for quite some time now. Companies have moved towards cloud architecture for their data storage and computing needs. There are some renowned cloud players like Amazon Web Services, Google Cloud, IBM Watson, etc.,

Data Science 52

Data Science Technology Programming Language Cloud Computing 52

The Pragmatic Engineer

JUNE 13, 2023

In a previous two-part series , we dived into Uber’s multi-year project to move onto the cloud , away from operating its own data centers. But there’s no “one size fits all” strategy when it comes to deciding the right balance between utilizing the cloud and operating your infrastructure on-premises.

Cloud 192

Cloud Utilities Database BI 192

Knowledge Hut

NOVEMBER 28, 2023

Data Science is also concerned with analyzing, exploring, and visualizing data, thereby assisting the company's growth. As they say, data is the new wave of the 21st century. Who is a Data Architect? This increased the data generation and the need for proper data storage requirements.

Data Architect 52

Data Architect Data Science Certification Big Data 52

ProjectPro

JANUARY 19, 2022

The first step is to work on cleaning it and eliminating the unwanted information in the dataset so that data analysts and data scientists can use it for analysis. That needs to be done because raw data is painful to read and work with. Independently create data-driven solutions that are accurate and informative.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

JULY 31, 2023

It investigates how data mining algorithms can be utilized to discover hidden patterns, insights, and actionable knowledge from large datasets, aiding in decision-making and improving operational efficiency. The goal of business intelligence is to transform raw data into actionable insights that can drive strategic and operational decisions.

Business Intelligence 52

Business Intelligence BI Data Mining Data Collection 52

Knowledge Hut

JUNE 30, 2023

The practice of designing, building, and maintaining the infrastructure and systems required to collect, process, store, and deliver data to various organizational stakeholders is known as data engineering. You can pace your learning by joining data engineering courses such as the Bootcamp Data Engineer.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Monte Carlo

JUNE 28, 2022

Over the past decade, Databricks and Apache Spark™ not only revolutionized how organizations store and process their data, but they also expanded what’s possible for data teams by operationalizing data lakes at an unprecedented scale across nearly infinite use cases. billion in 2020 to 17.60

Data Lake 52

Data Lake Metadata AWS Data Warehouse 52

Grouparoo

NOVEMBER 29, 2021

The structure of databases tends to depend on each vendor's proprietary implementation, though for data processing, the database's internal structure typically has a limited impact on processing functions. Machine Data Equipment ranging from simple sensors to complex operational technology may generate information as a data source.

Raw Data 40

Raw Data Big Data Relational Database Data Warehouse 40

Monte Carlo

JULY 5, 2023

Nasdaq’s data stack centers around a proprietary ingestion service the company built in 2013 – which means the team has been operating a data warehousing and lake solution in AWS for the better part of a decade. Testing, too, is a critical element that can ultimately save material time and resources.

High Quality Data 52

High Quality Data Data Software Engineer Software Engineering 52

ProjectPro

FEBRUARY 25, 2022

Each stage of the data pipeline passes processed data to the next step, i.e., it gives the output of one phase as input data into the next phase. Data Preprocessing- This step entails collecting raw and inconsistent data selected by a team of experts.

Machine Learning 52

Machine Learning Building Amazon Web Services AWS 52

Snowflake

APRIL 5, 2023

Two different data modeling approaches—dimensional data modeling and Data Vault—each have their own pros and cons. Modernizing a data warehouse with Snowflake Data Cloud is a smart investment that can provide significant benefits to businesses of all sizes, today more than ever as data models become ever more complex.

Data Warehouse 52

Data Warehouse Healthcare Unstructured Data Metadata 52

Monte Carlo

AUGUST 31, 2023

Data is a priority for your CEO, as it often is for digital-first companies, and she is fluent in the latest and greatest business intelligence tools. Your CTO is excited about migrating to the cloud, and constantly sends your team articles highlighting performance measurements against some of the latest technologies.

Data Lake 52

Data Lake Data Pipeline Unstructured Data Data Warehouse 52

Knowledge Hut

DECEMBER 26, 2023

Cloud computing enables an organization to use on-demand IT resources and scale up or down as per their requirements. The company does not need to invest in any additional hardware or equipment or purchase physical data centers for storage and management. What Are the Types of Cloud Computing Tools Available?

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services AWS 98

ProjectPro

JUNE 9, 2021

Data Science- Definition Data Science is an interdisciplinary branch encompassing data engineering and many other fields. Data Science involves applying statistical techniques to raw data, just like data analysts, with the additional goal of building business solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

JULY 12, 2021

Then, you will require data science and machine learning skills to build the chatbot with available data. You might need to use a cloud platform to do this, so in depth knowledge of these platforms is recommended. They can store large amounts of data in data processing systems and convert raw data into a usable format.

Engineering 40

Engineering Deep Learning Software Engineer Software Engineering 40

Edureka

JUNE 1, 2023

This is where AWS Data Analytics comes into action, providing businesses with a robust, cloud-based data platform to manage, integrate, and analyze their data. In this blog, we’ll explore the world of Cloud Data Analytics and a real-life application of AWS Data Analytics. What is Data Analytics?

AWS 52

AWS Data Analytics Cloud Amazon Web Services 52

ProjectPro

JULY 3, 2015

. “With Big Data, you’re getting into streaming data and Hadoop. Under such circumstances Apache Hadoop will provide low-cost data storage for huge volumes of sensor data. Helps data mining of raw data that has dynamic schema (schema changes over time).

Hadoop 40

Hadoop Big Data Data Solutions Unstructured Data 40

Knowledge Hut

DECEMBER 22, 2023

Data science uses machine learning algorithms like Random Forests, K-nearest Neighbors, Naive Bayes, Regression Models, etc. They can categorize and cluster raw data using algorithms, spot hidden patterns and connections in it, and continually learn and improve over time. How to Become a Data Scientist in 2024?

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98

Databand.ai

JULY 19, 2023

ELT is commonly used in big data projects and real-time processing where speed and scalability are critical. In the past, data was often stored in a single location, such as a database or a data warehouse. This dispersed data environment creates a challenge for businesses that need to access and analyze their data.

Data Cleanse 52

Data Cleanse Raw Data Data Storage Data Warehouse 52

Knowledge Hut

DECEMBER 26, 2023

Businesses benefit at large with these data collection and analysis as they allow organizations to make predictions and give insights about products so that they can make informed decisions, backed by inferences from existing data, which, in turn, helps in huge profit returns to such businesses. What is the role of a Data Engineer?

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Monte Carlo

AUGUST 25, 2023

At the same time, 81% of IT leaders say their C-suite has mandated no additional spending or a reduction of cloud costs. Data teams need to balance the need for robust, powerful data platforms with increasing scrutiny on costs. But, the options for data storage are evolving quickly. Let’s dive in.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

ProjectPro

NOVEMBER 14, 2015

Big data has taken over many aspects of our lives and as it continues to grow and expand, big data is creating the need for better and faster data storage and analysis. These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis. Data Migration 2.

Hadoop 52

Hadoop Project Big Data Healthcare 52

Knowledge Hut

DECEMBER 26, 2023

Business intelligence (BI) is the collective name for a set of processes, systems, and technologies that turn raw data into knowledge that can be used to operate enterprises profitably. Business intelligence solutions comBIne technology and strategy for gathering, analyzing, and interpreting data from internal and external sources.

Business Intelligence 52

Business Intelligence BI Data Mining Data Analysis 52

ProjectPro

AUGUST 11, 2021

A data lake retains all data, including data currently in use, data that may be used and even data that may never actually be used, but there is some assumption that it may be of some help in the future. In Data lakes the schema is applied by the query and they do not have a rigorous schema like data warehouses.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

Knowledge Hut

FEBRUARY 2, 2024

Skills Required Network Security Operation Systems and Virtual Machines Hacking Cloud security Risk management Controls and frameworks Scripting. Problem-solving capabilities Software management Cloud computing Concepts such as data structures and algorithms, development frameworks, APIs, networking and version control.

Programming Language 98

Programming Language Amazon Web Services Cloud Computing Java 98

Knowledge Hut

MARCH 27, 2024

The collection of meaningful market data has become a critical component of maintaining consistency in businesses today. A company can make the right decision by organizing a massive amount of raw data with the right data analytic tool and a professional data analyst. Integrate.io

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Knowledge Hut

APRIL 25, 2023

You can find a comprehensive guide on how data ingestion impacts a data science project with any Data Science course. Why Data Ingestion is Important? Data ingestion provides certain benefits to the business: The raw data coming from various sources is highly complex. Why Data Ingestion is Important?

Data Ingestion 52

Data Ingestion Lambda Architecture Raw Data Kafka 52

Snowflake

MARCH 30, 2023

A 2016 data science report from data enrichment platform CrowdFlower found that data scientists spend around 80% of their time in data preparation (collecting, cleaning, and organizing of data) before they can even begin to build machine learning (ML) models to deliver business value.

Engineering 81

Engineering Raw Data Data Science Scala 81

ProjectPro

FEBRUARY 8, 2023

But this data is not that easy to manage since a lot of the data that we produce today is unstructured. In fact, 95% of organizations acknowledge the need to manage unstructured raw data since it is challenging and expensive to manage and analyze, which makes it a major concern for most businesses. How Does AWS Glue Work?

AWS 98

AWS Scala Metadata Data Lake 98

Monte Carlo

JUNE 14, 2023

In this post, we will help you quickly level up your overall knowledge of data pipeline architecture by reviewing: Table of Contents What is data pipeline architecture? Why is data pipeline architecture important? Data could now be extracted and loaded prior to being transformed for its ultimate use.

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

Knowledge Hut

FEBRUARY 7, 2023

Since SAS is a commercial tool geared towards industry demands, it is usually not a tool used by beginners or independent data science enthusiasts. Although SAS is an expensive tool, independent and academic learners as well as tutors can gain benefits from exploring SAS Studio in the cloud for free. How do you go about doing that?

Data Science 52

Data Science Datasets SQL Data Mining 52

Ascend.io

MAY 18, 2023

In this article, we’ll: Examine the evolution of the data stack Discuss the issues that have arisen from the modern data stack complexity Explore the next steps in the innovation cycle for data engineering The Evolution of the Data Stack Before we dive into the backstory of how we got here, let’s define what a data stack is.

Data Warehouse 52

Data Warehouse Data Pipeline Data Lake Data Engineering 52