ProjectPro

JANUARY 24, 2023

A survey by Data Warehousing Institute TDWI found that AWS Glue and Azure Data Factory are the most popular cloud ETL tools with 69% and 67% of the survey respondents mentioning that they have been using them. What is Azure Data Factory? ADF itself does not save any data. So, let’s dive in!

AWS 52

AWS Cloud Amazon Web Services ETL Tools 52

Meltano

OCTOBER 5, 2022

Plus, we’ll explain how data engineers use Meltano, our DataOps platform, for efficient data management. What Is Data Engineering? Data engineering is the process of designing systems for collecting, storing, and analyzing large volumes of data. This is where data engineers come in.

Data Engineering 52

Data Engineering Data Engineer Engineering Raw Data 52

Ascend.io

AUGUST 31, 2023

Modern Cloud Data Platforms The native capabilities of the cloud providers have been joined by third-party services to offload that data into separate less costly systems that are optimized for analysis of that data. Transform before Load: The ETL process conforms data to the static, predefined warehouse schema.

Data Lake 52

Data Lake ETL Tools Data Warehouse Data Pipeline 52

Knowledge Hut

MAY 9, 2024

In this blog post, we will look at some of the world's highest paying data science jobs, what they entail, and what skills and experience you need to land them. What is Data Science? Data science also blends expertise from various application domains, such as natural sciences, information technology, and medicine.

Data Science 52

Data Science Data Mining Data Architect Programming Language 52

Knowledge Hut

NOVEMBER 28, 2023

With a plethora of new technology tools on the market, data engineers should update their skill set with continuous learning and data engineer certification programs. What do Data Engineers Do? Work closely with software engineers and data scientists. Technical Data Engineer Skills 1.Python

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Monte Carlo

FEBRUARY 15, 2023

This article will define in simple terms what a data warehouse is, how it’s different from a database, fundamentals of how they work, and an overview of today’s most popular data warehouses. What is a data warehouse? An ETL tool or API-based batch processing/streaming is used to pump all of this data into a data warehouse.

Data Warehouse 52

Data Warehouse Unstructured Data AWS Business Intelligence 52

Knowledge Hut

MAY 2, 2024

Spark SQL features are used heavily in warehouses to build ETL pipelines. Spark is being used in more than 1000 organizations who have built huge clusters for batch processing, stream processing, building warehouses, building data analytics engine and also predictive analytics platforms using many of the above features of Spark.

Scala 52

Scala Hospitality Healthcare Retail 52

Knowledge Hut

MARCH 26, 2024

Solution architects work with developers, stakeholders, and other IT specialists to build unified and effective systems. Extensive experience in software development, architecture design, and system integration. Evaluate technology options and make recommendations for software development tools, frameworks, and platforms.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

Meltano

OCTOBER 5, 2022

DataOps uses a wide range of technologies such as machine learning, artificial intelligence, and various data management tools to streamline data processing, testing, preparing, deploying, and monitoring. This results in a system that gives organizations control over the data flow so that anomalies can be spotted automatically.

Engineering 52

Engineering Raw Data Data Pipeline ETL Tools 52

Edureka

FEBRUARY 9, 2023

The role of Azure Data Engineer is in high demand in the field of data management and analytics. As an Azure Data Engineer, you will be in charge of designing, building, deploying, and maintaining data-driven solutions that meet your organization’s business needs.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

ProjectPro

NOVEMBER 30, 2021

The crux of all data-driven solutions or business decision-making lies in how well the respective businesses collect, transform, and store data. When working on real-time business problems, data scientists build models using various Machine Learning or Deep Learning algorithms. Table of Contents What is ETL Pipeline?

Process 52

Process Data Pipeline Data Warehouse AWS 52

AltexSoft

AUGUST 29, 2023

Who needs a data lake? If the intricacies of big data are becoming too much for your existing systems to handle, a data lake might be the solution you’re seeking. Data warehouse vs. data lake in a nutshell. Traditional data warehouses have been around for decades. Unstructured data sources.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

AltexSoft

AUGUST 4, 2021

Modern cloud warehouses make it possible to store data in its raw formats similarly to data lakes. While cloud solutions are quicker to set up, on-premise DWs may take months to build. They typically contain structured data and take less time for setup — normally 3 to 6 months for on-premise solutions. Hybrid data marts.

Data Lake 64

Data Lake Data Warehouse ETL Tools Telecommunication 64

ProjectPro

SEPTEMBER 30, 2014

That laid the foundation for an entirely new domain of ETL (an acronym for Extract Transform Load) – a field that continues to dominate data warehousing to this date. The modern technological ecosystem is run and managed by interconnected systems that can read, copy, aggregate, transform and re–load data from one another.

Hadoop 52

Hadoop Unstructured Data ETL Tools ETL System 52

ProjectPro

JANUARY 19, 2022

Read this blog till the end to learn more about the roles and responsibilities, necessary skillsets, average salaries, and various important certifications that will help you build a successful career as an Azure Data Engineer. The big data industry is flourishing, particularly in light of the pandemic's rapid digitalization.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

ProjectPro

DECEMBER 7, 2021

Features of a Data Pipeline Data Pipeline Architecture How to Build an End-to-End Data Pipeline from Scratch? Data Pipeline Tools AWS Data Pipeline Azure Data Pipeline Airflow Data Pipeline Learn to Create a Data Pipeline FAQs on Data Pipeline What is a Data Pipeline?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 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 83

Engineering Raw Data Data Science Scala 83

AltexSoft

MARCH 30, 2023

Source: Databricks Delta Lake is an open-source, file-based storage layer that adds reliability and functionality to existing data lakes built on Amazon S3, Google Cloud Storage, Azure Data Lake Storage, Alibaba Cloud, HDFS ( Hadoop distributed file system), and others. Delta Lake integrations.

Scala 64

Scala Data Lake BI Google Cloud 64

ProjectPro

SEPTEMBER 26, 2021

Automated tools are developed as part of the Big Data technology to handle the massive volumes of varied data sets. Big Data Engineers are professionals who handle large volumes of structured and unstructured data effectively. You must have good knowledge of the SQL and NoSQL database systems.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

JULY 27, 2021

Differentiate between relational and non-relational database management systems. 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.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

SEPTEMBER 14, 2016

The better a hadoop developer knows the data, the better they know what kind of results are possible with that amount of data. Concisely, a hadoop developer plays with the data, transforms it, decodes it and ensure that it is not destroyed. Assess the quality of datasets for a hadoop data lake. Defining Hadoop Job Flows.

Hadoop 40

Hadoop Unstructured Data Java Big Data 40

ProjectPro

FEBRUARY 21, 2023

There are over 133K data engineer job openings in the US, but how will you stand out in such a crowded job market? The answer is- by earning professional data engineering certifications! Professional certifications can offer data engineers a competitive advantage and help them build or advance their careers.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

DECEMBER 7, 2016

billion monthly active users on Facebook and the profile page loading at lightning fast speed, can you think of a single big data technology like Hadoop or Hive or HBase doing all this at the backend? The complexity of big data systems requires that every technology needs to be used in conjunction with the other.

Technology 40

Technology NoSQL Hadoop Data Mining 40

ProjectPro

OCTOBER 15, 2014

Just before we jump on to a detailed discussion on the key components of the Hadoop Ecosystem and try to understand the differences between them let us have an understanding on what is Hadoop and what is Big Data. What is Big Data and Hadoop? 11) Pig supports Avro whereas Hive does not. 11) Pig supports Avro whereas Hive does not.

Hadoop 52

Hadoop Unstructured Data Java SQL 52

ProjectPro

MARCH 21, 2016

Mainframe legacy systems might not be a part of technology conversations anymore but they are of critical importance to a business. In 1990, analysts predicted that the big data era would witness the death of Mainframes, due to the advent of various other cheap computing resources. The answer is definitely a resounding YES.

Hadoop 40

Hadoop Insurance Big Data Retail 40

ProjectPro

JUNE 2, 2015

Before organizations rely on data driven decision making, it is important for them to have a good processing power like Hadoop in place for data processing. Having done these the capability to manage these systems effectively helps achieve business success. times better than those with ad-hoc or decentralized teams.

Big Data 40

Big Data Hadoop Banking Retail 40