Data Engineering Podcast

FEBRUARY 11, 2018

The landscape of time series databases is extensive and oftentimes difficult to navigate. Which came first, Timescale the business or Timescale the database, and what is your strategy for ensuring that the open source project and the company around it both maintain their health?

PostgreSQL 100

PostgreSQL NoSQL Google Cloud MongoDB 100

ProjectPro

MAY 13, 2015

Table of Contents MongoDB NoSQL Database Certification- Hottest IT Certifications of 2015 MongoDB-NoSQL Database of the Developers and for the Developers MongoDB Certification Roles and Levels Why MongoDB Certification? The three next most common NoSQL variants are Couchbase, CouchDB and Redis.

NoSQL 40

NoSQL MongoDB Certification Database 40

Knowledge Hut

DECEMBER 26, 2023

Most Popular Programming Certifications C & C++ Certifications Oracle Certified Associate Java Programmer OCAJP Certified Associate in Python Programming (PCAP) MongoDB Certified Developer Associate Exam R Programming Certification Oracle MySQL Database Administration Training and Certification (CMDBA) CCA Spark and Hadoop Developer 1.

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Certification Programming MongoDB R (Programming) 98

Rockset

JULY 6, 2022

Similarly, databases are only useful for today’s real-time analytics if they can be both strict and flexible. Traditional databases, with their wholly-inflexible structures, are brittle. So are schemaless NoSQL databases, which capably ingest firehoses of data but are poor at extracting complex insights from that data.

NoSQL 52

NoSQL SQL Systems PostgreSQL 52

Knowledge Hut

DECEMBER 21, 2023

To establish a career in big data, you need to be knowledgeable about some concepts, Hadoop being one of them. Hadoop tools are frameworks that help to process massive amounts of data and perform computation. You can learn in detail about Hadoop tools and technologies through a Big Data and Hadoop training online course.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

ProjectPro

MARCH 1, 2018

News on Hadoop - February 2018 Kyvos Insights to Host Webinar on Accelerating Business Intelligence with Native Hadoop BI Platforms. The leading big data analytics company Kyvo Insights is hosting a webinar titled “Accelerate Business Intelligence with Native Hadoop BI platforms.” PRNewswire.com, February 1, 2018.

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Hadoop NoSQL Retail BI 52

ProjectPro

OCTOBER 3, 2016

News on Hadoop-September 2016 HPE adapts Vertica analytical database to world with Hadoop, Spark.TechTarget.com,September 1, 2016. has expanded its analytical database support for Apache Hadoop and Spark integration and also to enhance Apache Kafka management pipeline. Broadwayworld.com, September 13,2016.

Hadoop 52

Hadoop Database-centric Pipeline-centric Big Data 52

ProjectPro

MAY 2, 2016

News on Hadoop-April 2016 Cutting says Hadoop is not at its peak but at its starting stages. Datanami.com At his keynote address in San Jose, Strata+Hadoop World 2016, Doug Cutting said that Hadoop is not at its peak and not going to phase out. Source: [link] ) Dr. Elephant will now solve your Hadoop flow problems.

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Hadoop NoSQL Hospitality 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.

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Hadoop BI Big Data Big Data Tools 52

Data Engineering Podcast

FEBRUARY 9, 2020

You deserve Clickhouse, the open source analytical database that deploys and scales wherever and whenever you want it to and turns data into actionable insights. Is there any utility in data vault modeling in a data lake context (S3, Hadoop, etc.)? What are the steps for establishing and evolving a data vault model in an organization?

Data Lake 100

Data Lake Data Warehouse Hadoop NoSQL 100

ProjectPro

NOVEMBER 5, 2014

Hadoop is the way to go for organizations that do not want to add load to their primary storage system and want to write distributed jobs that perform well. MongoDB NoSQL database is used in the big data stack for storing and retrieving one item at a time from large datasets whereas Hadoop is used for processing these large data sets.

MongoDB 40

MongoDB Hadoop NoSQL Big Data 40

AltexSoft

MAY 14, 2021

This data isn’t just about structured data that resides within relational databases as rows and columns. Apache Hadoop. Apache Hadoop is a set of open-source software for storing, processing, and managing Big Data developed by the Apache Software Foundation in 2006. Hadoop architecture layers. NoSQL databases.

Big Data 78

Big Data Data Analytics IT NoSQL 78

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. Forbes.com, April 3, 2017. Hortonworks HDP 2.6 SiliconAngle.com, April 5, 2017.

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Hadoop Entertainment Data Lake Big Data 52

ProjectPro

NOVEMBER 10, 2016

Let’s help you out with some detailed analysis on the career path taken by hadoop developers so you can easily decide on the career path you should follow to become a Hadoop developer. What do recruiters look for when hiring Hadoop developers? Do certifications from popular Hadoop distribution providers provide an edge?

Hadoop 52

Hadoop NoSQL Java Big Data 52

ProjectPro

JUNE 4, 2015

All the components of the Hadoop ecosystem, as explicit entities are evident. All the components of the Hadoop ecosystem, as explicit entities are evident. The holistic view of Hadoop architecture gives prominence to Hadoop common, Hadoop YARN, Hadoop Distributed File Systems (HDFS ) and Hadoop MapReduce of the Hadoop Ecosystem.

Hadoop 52

Hadoop Architecture IT Java 52

Towards Data Science

JANUARY 16, 2024

Evolution of the data landscape 1980s — Inception Relational databases came into existence. Organizations began to use relational databases for ‘everything’. Databases were overwhelmed with transactional and analytical workloads. Result: Hadoop & NoSQL frameworks emerged. So here goes my overly-simplified take.

Data Warehouse 95

Data Warehouse Data Architecture Relational Database NoSQL 95

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

Knowledge Hut

DECEMBER 26, 2023

Data Engineers are skilled professionals who lay the foundation of databases and architecture. Using database tools, they create a robust architecture and later implement the process to develop the database from zero. Data engineers who focus on databases work with data warehouses and develop different table schemas.

Data Engineer 98

Data Engineer Data Engineering Engineering Hadoop 98

U-Next

MARCH 1, 2023

A solid understanding of relational databases and SQL language is a must-have skill, as an ability to manipulate large amounts of data effectively. A good Data Engineer will also have experience working with NoSQL solutions such as MongoDB or Cassandra, while knowledge of Hadoop or Spark would be beneficial.

Data Engineer 75

Data Engineer Data Engineering Non-relational Database Engineering 75

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 Java Unstructured Data SQL 52

Knowledge Hut

JULY 27, 2023

The interesting world of big data and its effect on wage patterns, particularly in the field of Hadoop development, will be covered in this guide. As the need for knowledgeable Hadoop engineers increases, so does the debate about salaries. You can opt for Big Data training online to learn about Hadoop and big data.

Hadoop 52

Hadoop Programming Language Banking Big Data 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?

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Hadoop Project Big Data Healthcare 52

ProjectPro

NOVEMBER 1, 2016

News on Hadoop-October 2016 Microsoft upgrades Azure HDInsight, its Hadoop Big Data offering.SiliconAngle.com,October 2, 2016. product Azure HDInsight is a managed Hadoop service that gives users access to deploy and manage hadoop clusters on the Azure Cloud. Microsoft and Hortonworks Inc.

Hadoop 40

Hadoop NoSQL Big Data SQL 40

Zalando Engineering

MAY 5, 2016

With this year being the 10th birthday of Apache Hadoop, Dublin saw 1,400 members of the tech community gather for the 4th Hadoop Summit Europe. The week started with a meetup organised by the Hadoop User Group in the vibrant Silicon Docks where Zalando’s Dublin office is also located.

Hadoop 40

Hadoop Entertainment Food NoSQL 40

ProjectPro

MAY 19, 2015

It is possible today for organizations to store all the data generated by their business at an affordable price-all thanks to Hadoop, the Sirius star in the cluster of million stars. With Hadoop, even the impossible things look so trivial. So the big question is how is learning Hadoop helpful to you as an individual?

Hadoop 40

Hadoop Big Data NoSQL Database-centric 40

Confluent

SEPTEMBER 25, 2019

And, while this is fairly simple to comprehend, it raises a big question: Are traditional database architectures a good fit for this emerging world? Databases, after all, have been the most successful infrastructure layer in application development. Apache Kafka ® and its uses. Indeed, for a global business, the day doesn’t end.

Database-centric 56

Database-centric Kafka Pipeline-centric Retail 56

AltexSoft

OCTOBER 30, 2021

Data engineers are programmers first and data specialists next, so they use their coding skills to develop, integrate, and manage tools supporting the data infrastructure: data warehouse, databases, ETL tools, and analytical systems. Expected to be somewhat versed in data engineering, they are familiar with SQL, Hadoop, and Apache Spark.

Data Engineer 98

Data Engineer Data Engineering Engineering Machine Learning 98

ProjectPro

MARCH 23, 2016

And so spawned from this research paper, the big data legend - Hadoop and its capabilities for processing enormous amount of data. Same is the story, of the elephant in the big data room- “Hadoop” Surprised? Yes, Doug Cutting named Hadoop framework after his son’s tiny toy elephant. Why use Hadoop?

Hadoop 40

Hadoop IT Big Data Portfolio 40

ProjectPro

JULY 3, 2015

SAP is all set to ensure that big data market knows its hip to the trend with its new announcement at a conference in San Francisco that it will embrace Hadoop. What follows is an elaborate explanation on how SAP and Hadoop together can bring in novel big data solutions to the enterprise. Table of Contents How SAP Hadoop work together?

Hadoop 40

Hadoop Big Data Data Solutions Unstructured Data 40

ProjectPro

JUNE 17, 2016

You will need a complete 100% LinkedIn profile overhaul to land a top gig as a Hadoop Developer , Hadoop Administrator, Data Scientist or any other big data job role. Location and industry – Locations and industry helps recruiters sift through your LinkedIn profile on the available Hadoop or data science jobs in that locations.

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Hadoop Recruitment Big Data NoSQL 40

ProjectPro

JULY 21, 2015

Apache Hive is an effective standard for SQL-in- Hadoop. Explore SQL Database Projects to Add them to Your Data Engineer Resume. Related Posts Apache Kafka Architecture and Its Components-The A-Z Guide Kafka vs RabbitMQ - A Head-to-Head Comparison for 2021 HBase vs Cassandra-The Battle of the Best NoSQL Databases PREVIOUS NEXT <

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Hadoop SQL NoSQL Kafka 40

ProjectPro

APRIL 17, 2015

This articles explores four latest trends in big data analytics that are driving implementation of cutting edge technologies like Hadoop and NoSQL. The matured usage of NoSQL in big data analysis will drive the NoSQL market as it gains momentum. billionby 2020, recording a CAGR of 35.1% during 2014 - 2020.

Big Data 52

Big Data Data Analysis NoSQL Deep Learning 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

AltexSoft

OCTOBER 21, 2022

popular SQL and NoSQL database management systems including Oracle, SQL Server, Postgres, MySQL, MongoDB, Cassandra, and more; cloud storage services — Amazon S3, Azure Blob, and Google Cloud Storage; message brokers such as ActiveMQ, IBM MQ, and RabbitMQ; Big Data processing systems like Hadoop ; and. Kafka vs Hadoop.

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Kafka Hadoop Big Data ETL Tools 93

Rockset

MAY 17, 2022

Limitations of NoSQL SQL supports complex queries because it is a very expressive, mature language. And when systems such as Hadoop and Hive arrived, it married complex queries with big data for the first time. That changed when NoSQL databases such as key-value and document stores came on the scene.

SQL 52

SQL NoSQL Hadoop MongoDB 52

ProjectPro

APRIL 27, 2016

Scott Gnau, CTO of Hadoop distribution vendor Hortonworks said - "It doesn't matter who you are — cluster operator, security administrator, data analyst — everyone wants Hadoop and related big data technologies to be straightforward. That’s how Hadoop will make a delicious enterprise main course for a business.

Hadoop 40

Hadoop Big Data Technology Kafka 40

Rockset

JANUARY 23, 2020

A Brief History of Distributed Databases The era of Web 2.0 brought with it a renewed interest in database design. The new databases that have emerged during this time have adopted names such as NoSQL and NewSQL, emphasizing that good old SQL databases fell short when it came to meeting the new demands.

Database 40

Database MySQL Kafka NoSQL 40