ProjectPro

AUGUST 1, 2016

News on Hadoop-July 2016 Driven 2.2 July 4, 2016. a leader in Application Performance Monitoring (APM) for big data applications has launched its next version – Driven 2.2. July 12, 2016. Hortonworks is revamping its data warehouse optimization use cases through an OEM arrangement with AtScale, Pivotal and Syncsort.

Hadoop 40

Hadoop Consulting Big Data Unstructured Data 40

ProjectPro

SEPTEMBER 1, 2016

News on Hadoop-August 2016 Latest Amazon Elastic MapReduce release supports 16 Hadoop projects. TechCrunch, August 2, 2016 Amazon released its latest version of Elastic MapReduce (EMR) 5.0 that is aimed to help data scientists and other interested parties looking to manage big data projects with hadoop. August 10, 2016.

Hadoop 40

Hadoop Unstructured Data Big Data Portfolio 40

ProjectPro

JUNE 1, 2016

News on Hadoop-May 2016 Microsoft Azure beats Amazon Web Services and Google for Hadoop Cloud Solutions. May 3, 2016. MSPowerUser.com In the competition of the best Big Data Hadoop Cloud solution, Microsoft Azure came on top – beating tough contenders like Google and Amazon Web Services. May 10, 2016. May 16, 2016.

Hadoop 40

Hadoop Amazon Web Services BI Unstructured Data 40

AltexSoft

APRIL 27, 2023

Increasing diversity in clinical trials: Moderna Data has always been a critical asset for a research-driven biopharmaceutical manufacturer like Moderna , especially when it comes to increasing the efficacy of clinical trials. The event harmonizer automates data collection and processing.

Data Analytics 52

Data Analytics Pharmaceutical Medical Manufacturing 52

Rockset

NOVEMBER 1, 2018

As Peter Bailis put it in his post , querying unstructured data using SQL is a painful process. We at Rockset have built the first schemaless SQL data platform. Moreover, developers frequently prefer dynamic programming languages, so interacting with the strict type system of SQL is a barrier.

SQL 40

SQL NoSQL Programming Language Bytes 40

ProjectPro

SEPTEMBER 30, 2014

While the initial era of ETL ignited enough sparks and got everyone to sit up, take notice and applaud its capabilities, its usability in the era of Big Data is increasingly coming under the scanner as the CIOs start taking note of its limitations. Related Posts How much Java is required to learn Hadoop?

Hadoop 52

Hadoop Unstructured Data ETL Tools ETL System 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 84

Engineering Raw Data Data Science Scala 84

ProjectPro

FEBRUARY 8, 2017

"Data and analytics are already shaking up multiple industries, and the effects will only become more pronounced as adoption reaches critical mass.” ” said the McKinsey Global Institute (MGI) in its executive overview of last month's report: "The Age of Analytics: Competing in a Data-Driven World."

Big Data 40

Big Data Hadoop Data Lake Data Governance 40

ProjectPro

MARCH 21, 2016

Table of Contents Need to Offload Data from Mainframes to Hadoop Challenges to be Successful with Hadoop and Mainframes Mainframe Legacy Systems Ride on Hadoop: Offloading from Mainframe to Hadoop Advantages of Using Hadoop with Mainframes for Legacy Workload Why Mainframe Professionals should learn Hadoop in 2016?

Hadoop 40

Hadoop Insurance Big Data Retail 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? Related Posts How much Java is required to learn Hadoop?

Hadoop 52

Hadoop Unstructured Data Java SQL 52

ProjectPro

APRIL 14, 2015

Table of Contents Statistics on Online Dating Big Data Analytics in Online Dating How Online Dating Alogirthms work? billion by 2016. If you are confused and want to find out whether a prospective date is a relationship material, don’t worry, big data analytics will help you. billion in 2016.

Big Data 52

Big Data Data Analysis Algorithm MongoDB 52

ProjectPro

SEPTEMBER 1, 2015

Once big data is loaded into Hadoop, what is the best way to use this data? Collecting huge amounts of unstructured data does not help unless there is an effective way to draw meaningful insights from it. Hadoop Developers have to filter and aggregate the data to leverage it for business analytics.

Hadoop 40

Hadoop Java Unstructured Data SQL 40

Edureka

FEBRUARY 7, 2023

8) Difference between ADLS and Azure Synapse Analytics Fig: Image by Microsoft Highly scalable and capable of ingesting and processing enormous amounts of data, Azure Data Lake Storage Gen2 and Azure Synapse Analytics are both available (on a Peta Byte scale). However, there are some distinctions.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

ProjectPro

MARCH 23, 2016

Hadoop has also given birth to countless other innovations in the big data space. Hadoop and Spark is the most talked about affair in the big data world in 2016. Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Why use Hadoop? PREVIOUS NEXT <

Hadoop 40

Hadoop IT Big Data Retail 40

ProjectPro

JUNE 9, 2015

The prospective growth for big data in India is because of-increasing number of companies trying to get meaningful insights out from the massive data growth in their businesses. It is time for Indian software application developers to include Hadoop in their list of skills.

Hadoop 52

Hadoop Big Data Skills Big Data Retail 52

ProjectPro

JUNE 26, 2015

Get More Practice, More Big Data and Analytics Projects , and More guidance.Fast-Track Your Career Transition with ProjectPro Tech startup OoVoo has employed Affectiva’s big data analytics solution into its video chat product so that it can analyse the emotions of the chatters. “Watson amplifies human creativity.

Big Data 40

Big Data Food Unstructured Data Retail 40

ProjectPro

MAY 23, 2015

Use market basket analysis to classify shopping trips Walmart Data Analyst Interview Questions Walmart Hadoop Interview Questions Walmart Data Scientist Interview Question American multinational retail giant Walmart collects 2.5 petabytes of unstructured data from 1 million customers every hour.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

ProjectPro

MARCH 16, 2015

.” By the end of 2016, the number of health records of millions of people is likely to increase into tens of billions. Thus, the computing technology and infrastructure must be able to render a cost efficient implementation of: Parallel Data Processing that is unconstrained.

Healthcare 40

Healthcare Big Data Project Hospitality 40

ProjectPro

SEPTEMBER 26, 2014

BI professionals use various tools to draw useful data that are used to generate customized reports and this is where the Hadoop File Distribution System (HDFS) proves itself. billion by 2016 and it is growing at a rapid pace of over 55%. The global market for Hadoop based technologies will be reaching $8.74 PREVIOUS NEXT <

Business Intelligence 40

Business Intelligence Hadoop BI Relational Database 40

ProjectPro

SEPTEMBER 11, 2015

There have been several headlines about various big data jobs recently- Best Salary Boost in 8 years awaits US professionals in 2016, STLToday Geeks Wanted! For professionals from BI background, learning Hadoop is necessary because with data explosion it is becoming difficult for traditional databases to store unstructured data.

Hadoop 52

Hadoop Java BI Big Data 52

ProjectPro

JUNE 4, 2015

In our earlier articles, we have defined “What is Apache Hadoop” To recap, Apache Hadoop is a distributed computing open source framework for storing and processing huge unstructured datasets distributed across different clusters. Related Posts How much Java is required to learn Hadoop?

Hadoop 52

Hadoop Architecture IT Java 52

ProjectPro

MAY 20, 2015

To answer this question at hand, this blog presents you 6 of the top big data companies to consider in the big data world. According to NASSCOM, the global big data analytics market is anticipated to reach $121 billion by 2016.

Big Data 40

Big Data Hadoop Business Analyst Unstructured Data 40

ProjectPro

MARCH 23, 2015

The partnership among these technologies added value to the processing, managing and storage of Semi Structured, Structured and Unstructured Data in the Hadoop Cluster for these data giants. However, the limitations in the Hadoop Map Reduce pairing paved way for Hadoop 2.0. For instance, Yahoo reported that Hadoop 1.x

Hadoop 40

Hadoop Big Data Architecture Metadata 40