ProjectPro

MAY 2, 2017

News on Hadoop-April 2017 AI Will Eclipse Hadoop, Says Forrester, So Cloudera Files For IPO As A Machine Learning Platform. Apache Hadoop was one of the revolutionary technology in the big data space but now it is buried deep by Deep Learning. Hortonworks unveiled this use case of SQL through Apache Hive 2.0

Hadoop 52

Hadoop Entertainment Data Lake Big Data 52

ProjectPro

APRIL 1, 2016

News on Hadoop- March 2016 Hortonworks makes its core more stable for Hadoop users. PCWorld.com Hortonworks is going a step further in making Hadoop more reliable when it comes to enterprise adoption. Source: [link] ) Syncsort makes Hadoop and Spark available in native Mainframe. March 1, 2016. March 4, 2016.

Hadoop 52

Hadoop BI Big Data Big Data Tools 52

Edureka

AUGUST 2, 2023

SQL Structured Query Language, or SQL, is used to manage and work with relational databases. Data scientists use SQL to query, update, and manipulate data. Data scientists use SQL to query, update, and manipulate data. Knowing SQL can help data scientists efficiently extract the data needed for analysis.

Programming Language 52

Programming Language Programming Scala Pharmaceutical 52

Knowledge Hut

JUNE 23, 2023

You should be well-versed with SQL Server, Oracle DB, MySQL, Excel, or any other data storing or processing software. Hard Skills SQL, which includes memorizing a query and resolving optimized queries. Apache Hadoop-based analytics to compute distributed processing and storage against datasets.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Knowledge Hut

NOVEMBER 17, 2023

Understanding SQL You must be able to write and optimize SQL queries because you will be dealing with enormous datasets as an Azure Data Engineer. To be an Azure Data Engineer, you must have a working knowledge of SQL (Structured Query Language), which is used to extract and manipulate data from relational databases.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

ProjectPro

SEPTEMBER 11, 2015

Hadoop has now been around for quite some time. But this question has always been present as to whether it is beneficial to learn Hadoop, the career prospects in this field and what are the pre-requisites to learn Hadoop? The availability of skilled big data Hadoop talent will directly impact the market.

Hadoop 52

Hadoop Java BI Big Data 52

ProjectPro

OCTOBER 7, 2014

According to the Industry Analytics Report, hadoop professionals get 250% salary hike. If you are a java developer, you might have already heard about the excitement revolving around big data hadoop. There are 132 Hadoop Java developer jobs currently open in London, as per cwjobs.co.uk

Java 52

Java Hadoop Big Data Recruitment 52

ProjectPro

NOVEMBER 14, 2015

Apache Hadoop and Apache Spark fulfill this need as is quite evident from the various projects that these two frameworks are getting better at faster data storage and analysis. These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis. Table of Contents Why Apache Hadoop?

Hadoop 52

Hadoop Project Big Data Healthcare 52

Knowledge Hut

NOVEMBER 28, 2023

SQL Today, more and more cloud-based systems add SQL-like interfaces that allow you to use SQL. Relational database management systems (RDBMS) remain the key to data discovery and reporting, regardless of their location. Big resources still manage file data hierarchically using Hadoop's open-source ecosystem.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

ProjectPro

OCTOBER 15, 2014

Pig and Hive are the two key components of the Hadoop ecosystem. What does pig hadoop or hive hadoop solve? Pig hadoop and Hive hadoop have a similar goal- they are tools that ease the complexity of writing complex java MapReduce programs. Apache HIVE and Apache PIG components of the Hadoop ecosystem are briefed.

Hadoop 52

Hadoop Unstructured Data Java SQL 52

Booking.com Engineering

DECEMBER 2, 2022

BigQuery saves us substantial time — instead of waiting for hours in Hive/Hadoop, our median query run time is 20 seconds for batch, and 2 seconds for interactive queries[3]. A Unified View for Operational Data We kept most of our operational data in relational databases, like MySQL.

Systems 52

Systems Cloud MySQL Relational Database 52

Data Engineering Podcast

NOVEMBER 18, 2018

Contact Info LinkedIn @fhueske on Twitter fhueske on GitHub Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today?

Process 100

Process Scala Google Cloud Kafka 100

Knowledge Hut

JANUARY 18, 2024

SQL SQL is essential if you want to work with relational databases at any level of detail. Data scientists need a broad array of skills and knowledge — from programming languages like Python or R to SQL database queries and math skills like calculus and linear algebra. making it incredibly useful.

Data Science 52

Data Science Computer Science Programming Language NoSQL 52

Cloud Academy

JANUARY 27, 2022

Many of them are already familiar with SQL or have experience working with databases, whether they’re relational or non-relational. Get a basic understanding of SQL A second requirement is to have a basic understanding of SQL. These fundamentals will give you a solid foundation in data and datasets.

Data Engineering 52

Data Engineering Data Engineer Certification Engineering 52

Knowledge Hut

SEPTEMBER 6, 2023

Big Data Frameworks : Familiarity with popular Big Data frameworks such as Hadoop, Apache Spark, Apache Flink, or Kafka are the tools used for data processing. Database Management : knowing how to work with databases - both relational(like Postgres) and non-relational - is important for efficient storing and retrieval of data.

Big Data 52

Big Data Certification Hadoop Scala 52

Silectis

JANUARY 3, 2021

Big Data Processing In order to extract value or insights out of big data, one must first process it using big data processing software or frameworks, such as Hadoop. Cassandra A database built by the Apache Foundation. Hadoop / HDFS Apache’s open-source software framework for processing big data.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

AltexSoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data Architect 87

Data Architect Certification Generalist Big Data 87

ProjectPro

FEBRUARY 21, 2023

Azure Data Engineer Associate DP-203 Certification Candidates for this exam must possess a thorough understanding of SQL, Python, and Scala, among other data processing languages. However, all references to the functionality of Delta Lake will be expressed using SQL. Basic understanding of the developments in the IT industry.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

DECEMBER 29, 2023

A Data Engineer is someone proficient in a variety of programming languages and frameworks, such as Python, SQL, Scala, Hadoop, Spark, etc. One of the primary focuses of a Data Engineer's work is on the Hadoop data lakes. NoSQL databases are often implemented as a component of data pipelines.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Grouparoo

OCTOBER 6, 2021

34 Fundamental Knowledge Knowledge of fundamental concepts allows you to embrace change 35 Getting the “Structured” Back into SQL Tips on writing SQL. 8 Beware of Silver-Bullet Syndrome Do not build your professional identity on a specific toolset. Be adaptable. If so, find a way to abstract the silos to have one way to access it all.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Knowledge Hut

JANUARY 30, 2024

Structured Data: Structured data sources, such as databases and spreadsheets, often require extraction to consolidate, transform, and make them suitable for analysis. This can involve SQL queries or ETL (Extract, Transform, Load) processes. What is SQL data extraction?

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Knowledge Hut

SEPTEMBER 26, 2023

We should also be familiar with programming languages like Python, SQL, and Scala as well as big data technologies like HDFS , Spark, and Hive. Relational databases, nonrelational databases, data streams, and file stores are examples of data systems. To understand the database and its structures, you must learn SQL.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

JANUARY 19, 2022

Knowledge of popular big data tools like Apache Spark, Apache Hadoop, etc. Below, we mention a few popular databases and the different softwares used for them. Thus, having worked on projects that use tools like Apache Spark, Apache Hadoop, Apache Hive, etc., and their implementation on the cloud is a must for data engineers.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

SEPTEMBER 29, 2023

You must have a solid grasp of ideas in parallel processing, data architecture, and data computation languages like SQL, Python, or Scala in order to become a Microsoft Certified Azure Data Engineer. Relational databases, nonrelational databases, data streams, and file stores are some examples of the data platforms they use.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Big Data Tools

OCTOBER 5, 2021

This release brings over 400 new features, but my favorites are the array aggregation functions in SQL. PostgreSQL 14 – Sometimes I forget, but traditional relational databases play a big role in the lives of data engineers. And of course, PostgreSQL is one of the most popular databases.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

OCTOBER 5, 2021

This release brings over 400 new features, but my favorites are the array aggregation functions in SQL. PostgreSQL 14 – Sometimes I forget, but traditional relational databases play a big role in the lives of data engineers. And of course, PostgreSQL is one of the most popular databases.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

AltexSoft

AUGUST 29, 2023

These are the most organized forms of data, often originating from relational databases and tables where the structure is clearly defined. Common structured data sources include SQL databases like MySQL, Oracle, and Microsoft SQL Server. Data sources can be broadly classified into three categories.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

ProjectPro

DECEMBER 7, 2021

Data sources may include relational databases or data from SaaS (software-as-a-service) tools like Salesforce and HubSpot. Publish- Transform data in the cloud and send it to on-premises sources like SQL Server or store it in your cloud storage sources for BI and data analytics tools and other apps to use.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

AltexSoft

JULY 29, 2022

Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. The Hadoop toy. So the first secret to Hadoop’s success seems clear — it’s cute. What is Hadoop?

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

AltexSoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. To come to the right decision, we need to divide this big question into several smaller ones — namely: What is Hadoop? To come to the right decision, we need to divide this big question into several smaller ones — namely: What is Hadoop? scalability.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

Knowledge Hut

DECEMBER 26, 2023

This job requires a handful of skills, starting from a strong foundation of SQL and programming languages like Python , Java , etc. Most of the Data engineers working in the field enroll themselves in several other training programs to learn an outside skill, such as Hadoop or Big Data querying, alongside their Master's degree and PhDs.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

ProjectPro

JUNE 6, 2015

Solocal has taken big data to the next stage of BI by designing a novel vision of BI with the open source distributed computing framework Hadoop. It replaced its traditional BI structure by integrating big data and Hadoop."-April BI is not a tool, a report or a database. BI is not like Oracle or SQL Server. So what is BI?

Business Intelligence 40

Business Intelligence Big Data BI Hadoop 40

ProjectPro

MAY 13, 2015

MongoDB NoSQL Database Certification- Hottest IT Certifications of 2015 According to Dice, the number of NoSQL jobs for people experienced with unstructured database systems like MongoDB has increased by 54% over last year. This figure is considerably higher than the overall average IT professional’s salary of $85,619.

NoSQL 40

NoSQL MongoDB Certification Database 40

ProjectPro

OCTOBER 28, 2015

Apache Hadoop is synonymous with big data for its cost-effectiveness and its attribute of scalability for processing petabytes of data. Data analysis using hadoop is just half the battle won. Getting data into the Hadoop cluster plays a critical role in any big data deployment. then you are on the right page.

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

U-Next

SEPTEMBER 9, 2022

Introduction . “Hadoop” is an acronym that stands for High Availability Distributed Object Oriented Platform. That is precisely what Hadoop technology provides developers with high availability through the parallel distribution of object-oriented tasks. What is Hadoop in Big Data? . When was Hadoop invented?

Hadoop 40

Hadoop Big Data Management Unstructured Data 40

Edureka

FEBRUARY 9, 2023

Proficiency in programming languages: Knowledge of programming languages such as Python and SQL is essential for Azure Data Engineers. Knowledge of programming languages like Python and SQL Python is commonly used in the field of data engineering for automating data pipelines and performing data analysis.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

JANUARY 24, 2024

Supports numerous data sources It connects to and fetches data from a variety of data sources using Tableau and supports a wide range of data sources, including local files, spreadsheets, relational and non-relational databases, data warehouses, big data, and on-cloud data. How is Tableau different from Power BI?

BI 98

BI Business Intelligence Non-relational Database Data Analysis 98